59 results
Search Results
2. Personalized Education; Solving a Group Formation and Scheduling Problem for Educational Content
- Author
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International Educational Data Mining Society, Bahargam, Sanaz, Erdos, Dóra, Bestavros, Azer, and Terzi, Evimaria
- Abstract
Whether teaching in a classroom or a Massive Online Open Course it is crucial to present the material in a way that benefits the audience as a whole. We identify two important tasks to solve towards this objective; (1) group students so that they can maximally benefit from peer interaction and (2) find an optimal schedule of the educational material for each group. Thus, in this paper we solve the problem of team formation and content scheduling for education. Given a time frame "d," a set of students S with their required need to learn different activities T and given "k" as the number of desired groups, we study the problem of finding "k" group of students. The goal is to teach students within time frame "d" such that their potential for learning is maximized and find the best schedule for each group. We show this problem to be NP-hard and develop a polynomial algorithm for it. We show our algorithm to be effective both on synthetic as well as a real data set. For our experiments we use real data on students' grades in a Computer Science department. As part of our contribution we release a semi-synthetic dataset that mimics the properties of the real data. [For complete proceedings, see ED560503.]
- Published
- 2015
3. Getting Latino Students Better Access to Non-Novice Teachers
- Author
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Education Trust, Mehrotra, Sarah, Morgan, Ivy S., and Socol, Allison
- Abstract
While new teachers bring energy and passion into their classrooms and schools, they can find themselves incredibly challenged as they learn how to plan and implement lessons, collect, and use data to inform their instructional practices, build relationships with students and families, manage classroom behavior, and meet the varying academic, social, and emotional needs of their students. To no surprise, inexperienced teachers and high teacher turnover disproportionately affect the achievement of students who are most underserved. Education Resource Strategies paints a clear picture of this in their report, "Growing Great Teachers" (ED593368), where they describe how an inexperienced workforce can impede efforts to improve conditions for teachers and students who have been underserved for far too long. In this paper, the authors look closely at inequitable access to experienced teachers for Latino students across the country. Findings reveal that, while Latino students have similar rates of non-novice teachers as their peers nationwide, drastic disparities still exist in several states. The findings reveal whether these inequities are due to varying levels of teacher experience between the districts in a particular state or within a particular district. In either case, these disparities are not inevitable. State and district leaders and local school board members can set clear goals and identify and address barriers to preparing, recruiting, and retaining strong and racially diverse teachers. And school leaders can take steps to create working conditions that ensure teachers, including teachers of color, remain in schools and hone their craft. [For the accompanying report "Getting Black Students Better Access to Non-Novice Teachers," see ED617544.]
- Published
- 2021
4. Getting Black Students Better Access to Non-Novice Teachers
- Author
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Education Trust, Mehrotra, Sarah, Morgan, Ivy S., and Socol, Allison
- Abstract
While new teachers bring energy and passion into their classrooms and schools, they can find themselves incredibly challenged as they learn how to plan and implement lessons, collect and use data to inform their instructional practices, build relationships with students and families, manage classroom behavior, and meet the varying academic, social, and emotional needs of their students. To no surprise, inexperienced teachers and high teacher turnover disproportionately affect the achievement of students who are most underserved. Education Resource Strategies paints a clear picture of this in their report, "Growing Great Teachers" (ED593368), where they describe how an inexperienced workforce can impede efforts to improve conditions for teachers and students who have been underserved for far too long. In this paper, the authors look closely at inequitable access to experienced teachers for Black students across the country. Findings reveal that the education system is failing Black students, as they find themselves more likely than any other group of students to be in classrooms with teachers who are in their first years of teaching or teachers who are uncertified. The findings reveal whether these inequities are due to varying levels of teacher experience between the districts in a particular state or within a particular district. In either case, these disparities are not inevitable. State and district leaders and local school board members can set clear goals and identify and address barriers to preparing, recruiting, and retaining strong and racially diverse teachers. And school leaders can take steps to create working conditions that ensure teachers, including teachers of color, remain in schools and hone their craft. [For the accompanying report "Getting Latino Students Better Access to Non-Novice Teachers," see ED617546.]
- Published
- 2021
5. Towards Scalable Assessment of Performance-Based Skills: Generalizing a Detector of Systematic Science Inquiry to a Simulation with a Complex Structure
- Author
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Sao Pedro, Michael A., Gobert, Janice D., and Betts, Cameron G.
- Abstract
There are well-acknowledged challenges to scaling computerized performance-based assessments. One such challenge is reliably and validly identifying ill-defined skills. We describe an approach that leverages a data mining framework to build and validate a detector that evaluates an ill-defined inquiry process skill, designing controlled experiments. The detector was originally built and validated for use with physical science simulations that have a simpler, linear causal structure. In this paper, we show that the detector can be used to identify demonstration of skill within a life science simulation on Eco- systems that has a complex underlying causal structure. The detector is evaluated in three ways: 1) identifying skill demonstration for a new student cohort, 2) handling the variability in how students conduct experiments, and 3) using it to determine when students are off-track before they finish collecting data. [This paper was published in: "Proceedings of the International Conference on Intelligent Tutoring Systems," 2014.]
- Published
- 2014
6. Building Models to Predict Hint-or-Attempt Actions of Students
- Author
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International Educational Data Mining Society, Castro, Francisco Enrique Vicente, Adjei, Seth, Colombo, Tyler, and Heffernan, Neil
- Abstract
A great deal of research in educational data mining is geared towards predicting student performance. Bayesian Knowledge Tracing, Performance Factors Analysis, and the different variations of these have been introduced and have had some success at predicting student knowledge. It is worth noting, however, that very little has been done to determine what a student's first course of action will be when dealing with a problem, which may include attempting the problem or asking for help. Even though learner "course of actions" have been studied, it has mostly been used to predict correctness in succeeding problems. In this study, we present initial attempts at building models that utilize student action information: (a) the number of attempts taken and hints requested, and (b) history backtracks of hint request behavior, both of these are used to predict a student's first course of action when working with problems in the ASSISTments tutoring system. Experimental results show that the models have reliable predictive accuracy when predicting students' first course of action on the next problem. [For complete proceedings, see ED560503.]
- Published
- 2015
7. Parallel Lives, Different Outcomes: A Twin Study of Academic Productivity in U.S. School Districts
- Author
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Center for American Progress, Hanna, Robert, and Morris, Bo
- Abstract
This paper explores what happens to similar groups of children educated in different school districts. In this case, the "twins" in the study are groups of students who live in the same state in similar geographies and who share certain demographic characteristics. For this report, "twin districts" have very similar sizes and they have the following in common: (1) The proportion of students who are from low-income families; (2) The proportion of students who have limited English proficiency or are English language learners; and (3) The proportion of students who receive instruction through individualized educational programs. The study's twin districts, however, differ in terms of per-pupil spending and revenues. The goal of this paper was to study twin districts and use the data culled to provide recommendations for how districts can best leverage their school funding investments--in other words, achieve a bigger bang for their educational buck. Using data available from the U.S. Department of Education, the authors compiled a dataset with over 7,000 K-12 districts from over 15,000 local education agencies across the county. All data on spending and achievement was from the 2009-10 school year. In this analysis, they identified 424 pairs of districts to analyze from this larger dataset. Given that tests and proficiency definitions differ across states, only twin districts within the same state are identified and compared. Additionally, the authors also completed interviews with 20 district superintendents from across the United States to discuss what control they have over their districts' spending and what spending constraints they face from outside governing bodies--the state, the federal government, and school boards. Based on their in-depth look at twin districts and their subsequent analysis of the data, the authors offer the following findings: (1) When it comes to education, spending does not always equal results; (2) There are significant funding inequities between demographically similar districts; and (3) Districts have limited control over their own expenditures. A table showing descriptive statistics for 424 sets of twins from the 2009-10 school year is appended. [For the accompanying report, "Return on Educational Investment: 2014. A District-by-District Evaluation of U.S. Educational Productivity" (2014), see ED561093.]
- Published
- 2014
8. Assessing the Efficacy of VR for Foreign Language Learning Using Multimodal Learning Analytics
- Author
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Gorham, Tom, Jubaed, Sam, Sanyal, Tannishtha, and Starr, Emma L.
- Abstract
This chapter describes a small-scale pilot study in which participants in the experimental group learned how to write Japanese kanji characters within an immersive Virtual Reality (VR) graffiti simulator (the Kingspray Graffiti Simulator on the Oculus Rift VR system). In comparing the experimental group to the non-VR control group in the context of embodied cognition, the authors used a multimodal learning analytics approach: the participants' body movements were recorded using a full-body 3D motion-tracker and clustered with a machine learning algorithm. The participants were also compared on the basis of a written posttest and a follow-up survey. [For the complete volume, "Professional Development in CALL: A Selection of Papers," see ED593926.]
- Published
- 2019
9. Time for Decisions: Visualizing the Future. Proceedings of the Annual NEAIR Conference (39th, Bethesda, Maryland, November 3-6, 2012)
- Author
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North East Association for Institutional Research (NEAIR) and Carson, Cristi
- Abstract
The NEAIR (North East Association for Institutional Research) 2012 Conference Proceedings is a compilation of papers presented at the Bethesda, Maryland conference. Papers in this document include: (1) Can a Marketing Campaign Increase Response Rates to Online Course Evaluations? (Kimberly Puhala); (2) Developing Community College Peer Institutions: Methods, Measures, & Issues (Joanna Musial-Demurat and Bruce Szelest); (3) Examining the Threat of Nonresponse Bias as a Follow-up to the National Survey of Student Engagement (Debra Allen and Theodore Coladarci); (4) Maximizing the Utility of Alumni Feedback (Susan Tammaro); (5) NCES Projection Methodology: Institutional Research Applications (J. R. Robles); (6) Non-returner Survey: Why Students Leave (Laura Ariovich and Allen Richman); (7) Testing Differences: Contrasts in Group Perceptions of Mission and Identity (Ellen Boylan and Kim Pavlick); and (8) Using Internal Market Ratios to Detect Gender Differences in Faculty Salaries (Chunmei Yao). (Individual papers contain appendices and references.) [For the 2011 proceedings, see ED546896.]
- Published
- 2012
10. Using Machine-Learned Detectors to Assess and Predict Students' Inquiry Performance
- Author
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Society for Research on Educational Effectiveness (SREE), Gobert, Janice D., Baker, Ryan, and Pedro, Michael Sao
- Abstract
The authors present work towards automatically assessing data collection behaviors as middle school students engage in inquiry within a physics microworld. In this study, the authors used machine learned models that can detect when students test their articulated hypotheses, design controlled experiments, and engage in planning behaviors using their inquiry support tools. They compared two approaches, an averaging-based method that assumes static skill level and Bayesian Knowledge Tracing, on their efficacy at predicting skill before a student engages in an inquiry activity and on predicting performance on a paper-style multiple choice test of inquiry and a transfer task requiring data collection skills. Their data were collected in a rural town in Central Massachusetts. Participants were 134 eighth grade students, ranging in age from 12-14 years, from a public middle school in Central Massachusetts. Their findings provide some evidence that the skills for successfully engaging in authentic inquiry and answering equivalent paper test-style questions are related (Black, 1999; Pellegrino, 2001). Furthermore, their findings support the notion that authentic skill learned in one context can be applied to other domains, as shown by the significant correlation between performance in designing controlled experiments in two domains. As such, these models have considerable potential to enable future "discovery with models" analyses (cf. Baker, 2010) that can shed light on the relationship between a student's mastery of systematic experimentation strategies and their domain learning. Additional research will be needed to determine if these findings are robust over different student populations and if the feature set and associated detectors are general enough (cf. Ghazarian & Noorhosseini, 2010) to be applicable to microworlds in other scientific domains. It will also be important to determine if these relationships will hold after incorporating scaffolding, thus giving students a better opportunity to both perform well despite incomplete knowledge, and to acquire these skills while using the microworld. (Contains 2 tables.)
- Published
- 2011
11. Back to the Future: A Non-Automated Method of Constructing Transfer Models
- Author
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International Working Group on Educational Data Mining, Feng, Mingyu, and Beck, Joseph
- Abstract
Representing domain knowledge is important for constructing educational software, and automated approaches have been proposed to construct and refine such models. In this paper, instead of applying automated and computationally intensive approaches, we simply start with existing hand-constructed transfer models at various levels of granularity and use them as a lens to examine student learning. Specifically, we are interested in seeing whether we can evaluate schools by examining the grain-size at which its students are best represented. Also, we are curious about whether different types of students are best represented by different transfer models. We found that better schools and stronger students are best represented by models with a fewer number of skills. Weaker students and schools are best represented, for our data, by models that allow no transfer of knowledge in between skills. Perhaps surprisingly, to accurately predict the level at which a student represents knowledge it is sufficient to know his standardized test score rather than indicators of socio economic status or his school. (Contains 1 figure, 3 tables, and 2 footnotes.) [For the complete proceedings, "Proceedings of the International Conference on Educational Data Mining (EDM) (2nd, Cordoba, Spain, July 1-3, 2009)," see ED539041.]
- Published
- 2009
12. Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning
- Author
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International Working Group on Educational Data Mining, Feng, Mingyu, Beck, Joseph E., and Heffernan, Neil T.
- Abstract
A basic question of instructional interventions is how effective it is in promoting student learning. This paper presents a study to determine the relative efficacy of different instructional strategies by applying an educational data mining technique, learning decomposition. We use logistic regression to determine how much learning is caused by different methods of teaching the same skill, relative to each other. We compare our results with a previous study, which used classical analysis techniques and reported no main effect. Our results show that there is a marginal difference, suggesting giving students scaffolding questions is less effective at promoting student learning than providing them delayed feedback. Our study utilizes learning decomposition, an easier and quicker approach of evaluating the quality of ITS interventions than experimental studies. We also demonstrate the usage of computer-intensive approach, bootstrapping, for hypothesis testing in educational data mining area. (Contains 4 tables and 1 footnote.) [For the complete proceedings, "Proceedings of the International Conference on Educational Data Mining (EDM) (2nd, Cordoba, Spain, July 1-3, 2009)," see ED539041.]
- Published
- 2009
13. Proceedings of the International Conference on Educational Data Mining (EDM) (2nd, Cordoba, Spain, July 1-3, 2009)
- Author
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International Working Group on Educational Data Mining, Barnes, Tiffany, Desmarais, Michel, Romero, Cristobal, and Ventura, Sebastian
- Abstract
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented educational software and databases of student test scores, has created large repositories of data reflecting how students learn. The EDM conference focuses on computational approaches for using those data to address important educational questions. The broad collection of research disciplines ensures cross fertilization of ideas, with the central questions of educational research serving as a unifying focus. This publication presents the following papers: (1) A Comparison of Student Skill Knowledge Estimates (Elizabeth Ayers, Rebecca Nugent, Nema Dean); (2) Differences Between Intelligent Tutor Lessons, and the Choice to Go Off-Task (Ryan S.J.d. Baker); (3) A User-Driven and Data-Driven Approach for Supporting Teachers in Reflection and Adaptation of Adaptive Tutorials (Dror Ben-Naim, Michael Bain, and Nadine Marcus); (4) Detecting Symptoms of Low Performance Using Production Rules (Javier Bravo and Alvaro Ortigosa); (5) Predicting Students Drop Out: A Case Study (Gerben W. Dekker, Mykola Pechenizkiy and Jan M. Vleeshouwers); (6) Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning (Mingyu Feng, Joseph E. Beck and Neil T. Heffernan); (7) Does Self-Discipline impact students' knowledge and learning? (Yue Gong, Dovan Rai, Joseph E. Beck, and Neil T. Heffernan); (8) Consistency of Students' Pace in Online Learning (Arnon Hershkovitz and Rafi Nachmias); (9) Student Consistency and Implications for Feedback in Online Assessment Systems (Tara M. Madhyastha and Steven Tanimoto); (10) Edu-mining for Book Recommendation for Pupils (Ryo Nagata, Keigo Takeda, Koji Suda, Junichi Kakegawa, and Koichiro Morihiro); (11) Conditional Subspace Clustering of Skill Mastery: Identifying Skills that Separate Students (Rebecca Nugent, Elizabeth Ayers, and Nema Dean); (12) Determining the Significance of Item Order In Randomized Problem Sets (Zachary A. Pardos and Neil T. Heffernan); (13) Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models (Philip I. Pavlik Jr., Hao Cen, Kenneth R. Koedinger); (14) Detecting and Understanding the Impact of Cognitive and Interpersonal Conflict in Computer Supported Collaborative Learning Environments (David Nadler Prata, Ryan S.J.d. Baker, Evandro d.B. Costa, Carolyn P. Rose, Yue Cui, Adriana M.J.B. de Carvalho); (15) Using Dirichlet priors to improve model parameter plausibility (Dovan Rai, Yue Gong, Joseph E. Beck); (16) Reducing the Knowledge Tracing Space (Steven Ritter, Thomas K. Harris, Tristan Nixon, Daniel Dickison, R. Charles Murray, and Brendon Towle); (17) Automatic Detection of Student Mental Models During Prior Knowledge Activation in MetaTutor (Vasile Rus, Mihai Lintean, and Roger Azevedo); (18) Automatic Concept Relationships Discovery for an Adaptive E-course (Marian Simko, Maria Bielikova); (19) Unsupervised MDP Value Selection for Automating ITS Capabilities (John Stamper and Tiffany Barnes); (20) Recommendation in Higher Education Using Data Mining Techniques (Cesar Vialardi, Javier Bravo Agapito, Leila Shafti, Alvaro and Ortigosa); (21) Developing an Argument Learning Environment Using Agent-Based ITS (ALES) (Safia Abbas and Hajime Sawamura); (22) A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks (Antonio R. Anaya and Jesus G. Boticario); (23) Dimensions of Difficulty in Translating Natural Language into First-Order Logic (Dave Barker-Plummer, Richard Cox, and Robert Dale); (24) Predicting Correctness of Problem Solving from Low-level Log Data in Intelligent Tutoring Systems (Suleyman Cetintas, Luo Si, Yan Ping Xin, and Casey Hord); (25) Back to the future: a non-automated method of constructing transfer models (Ming Feng and Joseph Beck); (26) How do Students Organize Personal Information Spaces? (Sharon Hardof-Jaffe, Arnon Hershkovitz, Hama Abu-Kishk, Ofer Bergman, and Rafi Nachmias); (27) Improving Student Question Classification (Cecily Heiner and Joseph L. Zachary); (28) Why, What, and How to Log? Lessons from LISTEN (Jack Mostow and Joseph E. Beck); (29) Process Mining Online Assessment Data (Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasilyeva, Wil van der Aalst, and Paul De Bra); (30) Obtaining Rubric Weights For Assessments By More Than One Lecturer Using A Pairwise Learning Model (J. R. Quevedo and E. Montanes); (31) Collaborative Data Mining Tool for Education (Enrique Garcia, Cristobal Romero, Sebastian Ventura, Miguel Gea, and Carlos de Castro); (32) Predicting Student Grades in Learning Management Systems with Multiple Instance Genetic Programming (Amelia Zafra and Sebastian Ventura); and (33) Visualization of Differences in Data Measuring Mathematical Skills (Lukas Zoubek and Michal Burda). Individual papers contain tables, figures, footnotes, references and appendices.
- Published
- 2009
14. Lessons from Recent Web Surveys at Harvard University
- Author
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Cheskis-Gold, Rena, Loescher, Ruth, Shepard-Rabadam, Elizabeth, and Carroll, Barbara
- Abstract
This paper provides an overview of the entire process necessary to developing a university-wide web survey, from the community-building process for creating support for the survey and determining the questions, to the specific tasks necessary for designing and administering an efficient web product. (Contains 17 tables.)
- Published
- 2004
15. Computer Models in Adult Education.
- Author
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Paeschke, Phyllis A.
- Abstract
The paper examines in depth administrative and instructional uses of the computer in adult education. The author demonstrates: (1) positive findings related to the feasible use of the computer in data analyses and report writing for administrative purposes, and (2) preliminary, yet encouraging, findings in the area of computer managed instruction for Adult Basic Education (ABE) students. The research findings presented are based on a review of the literature, investigation of computer application models, and a two-year computer application in Massachusetts. The described computer application is a response to seven ABE needs identified on several levels which are delineated and discussed in depth in the paper. The body of the paper is divided into two major sections. The first is a discussion of administrative uses of the computer in Adult Education and includes a chart of current ABE administrative computer applications in various States. The second section deals with instructional uses (computer managed and computer assisted instruction) and contains a descriptive chart of major computer managed instruction systems in operation. Within these two broad sections substantial references are made to significant contributions in the field and to the Massachusetts application specifically. A three-page bibliography concludes the report. (Author/MS)
- Published
- 1976
16. Implementing Eligibility Determination Process for Children's Mental Health Services in Massachusetts. Characteristics of Youth: The First Six Months.
- Author
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Hersch, Phyllis
- Abstract
This paper reports on initial implementation of a state required process for determining eligibility of children and adolescents for Massachusetts Department of Mental Health Programs. Three criteria are used for determining eligibility: a diagnosable mental, behavior, or emotional disorder; impairment of one year's duration; and establishment of functional impairment, as documented by the Child and Adolescent Functional Assessment Scale (CAFAS). Review of the program's first six months involved analysis of data on 333 children and adolescents who applied and were assessed for services during this period. Data summarized cover age, gender, race/ethnicity, and diagnostic category. Findings indicated: (1) as age increased, the percentage of youth accepted increased; (2) race did not appear to be a factor in the eligibility determination process; (3) place of residence was related to eligibility status; (4) applicants with diagnoses of behavior disorders were less likely than others to be found eligible; (5) 89 percent were determined eligible; and (6) more than 90 percent of diagnoses were for psychotic disorders, behavioral disorders, or anxiety disorders. (DB)
- Published
- 1998
17. Introducing Big Data Concepts in an Introductory Technology Course
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Frydenberg, Mark
- Abstract
From their presence on social media sites to in-house application data files, the amount of data that companies, governments, individuals, and sensors generate is overwhelming. The growth of Big Data in both consumer and enterprise activities has caused educators to consider options for including Big Data in the Information Systems curriculum. Introducing Big Data concepts and technologies in the classroom often is reserved for advanced students in database or programming courses. This paper explores approaches for integrating Big Data into the Information Systems curriculum, and presents a sample lesson for presenting basic Big Data concepts to first year students in a general education Information Technology course. As the need for IT professionals with Big Data skills will continue to increase, including these topics in a general education technology curriculum is especially pertinent.
- Published
- 2015
18. What Different Kinds of Stratification Can Reveal about the Generalizability of Data-Mined Skill Assessment Models
- Author
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Sao Pedro, Michael A., Baker, Ryan S. J. d., and Gobert, Janice D.
- Abstract
When validating assessment models built with data mining, generalization is typically tested at the student-level, where models are tested on new students. This approach, though, may fail to find cases where model performance suffers if other aspects of those cases relevant to prediction are not well represented. We explore this here by testing if scientific inquiry skill models built and validated for one science topic can predict skill demonstration for new students and a new science topic. Test cases were chosen using two methods: student-level stratification, and stratification based on the amount of trials ran during students' experimentation. We found that predictive performance of the models was different on each test set, revealing limitations that would have been missed from student-level validation alone.
- Published
- 2013
19. More Time for Learning: Promising Practices and Lessons Learned. Massachusetts Expanded Learning Time Initiative 2010 Progress Report
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Massachusetts 2020
- Abstract
Massachusetts is heralded nationally for being the first in the nation to enact a state policy to redesign and expand the learning day for all students to advance academic achievement, broaden enrichment opportunities, and improve instruction. The Expanded Learning Time (ELT) Initiative has gained momentum over the past several years due to the strong advocacy and leadership of Governor Deval Patrick, Massachusetts Secretary of Education Paul Reville, and the Massachusetts Legislature, especially the chairpersons of the Education Committee, Representative Marty Walz and Senator Rob O'Leary. While many important education programs in the state have been impacted by dwindling state coffers, the state leadership's continued commitment and support of this innovative program has been critical to its ongoing success. Today, the 22 ELT schools serving over 12,200 students across the state are models to the Commonwealth and the entire country for how schools can be transformed when teachers, administrators, parents, and the community work together to add learning time and broaden what schools should offer. As the national momentum for expanded learning time continues to build, the Massachusetts ELT Initiative continues to be recognized for its promising results for students, teachers, and schools. This paper presents the Massachusetts ELT Initiative progress report for 2010. It discusses the lessons the founders have learned over the past four years of working with ELT schools--such as how some successful schools are using additional academic time to individualize academic supports to better meet student needs--and how they are refining their model to produce even greater student success. [For previous edition, "Redesigning Today's Schools to Build a Stronger Tomorrow: The Massachusetts Expanded Learning Time Initiative 2007-2008 Annual Report," see ED534910.]
- Published
- 2010
20. Normal but Different: Autistic Adolescents Who Score Within Normal Ranges on Standardized Language Tests Produce Frequent Linguistic Irregularities in Spontaneous Discourse.
- Author
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Zane, Emily R and Grossman, Ruth B
- Subjects
DIAGNOSIS of autism ,LANGUAGE disorder diagnosis ,CHILDREN with disabilities ,RESEARCH funding ,DATA analysis ,AUTISM ,INTERVIEWING ,DESCRIPTIVE statistics ,CHI-squared test ,DISCUSSION ,SOUND recordings ,STATISTICS ,ASPERGER'S syndrome ,INTELLIGENCE tests ,SEMANTICS ,DATA analysis software ,VIDEO recording ,ADOLESCENCE ,CHILDREN - Abstract
Background and aims: A substantial minority of autistic individuals score within typical ranges on standard language tests, suggesting that autism does not necessarily affect language acquisition. This idea is reflected in current diagnostic criteria for autism, wherein language impairment is no longer included. However, some work has suggested that probing autistic speakers' language carefully may reveal subtle differences between autistic and nonautistic people's language that cannot be captured by standardized language testing. The current study aims to test this idea, by determining whether a group of autistic and nonautistic individuals who score similarly on a standardized test show differences in the number of unconventional and erroneous language features they produce in a spontaneous language sample. Methods: Thirty-eight older children and adolescents (19 autistic; 19 nonautistic), between the ages of 10 and 18, were recruited. Both participant groups scored within normal ranges on standardized language and IQ tests. Participants engaged in a "double interview" with an experimenter, during which they were first asked questions by the experimenter about themselves, and then they switched roles, so that it was the participant's turn to ask the experimenter questions. Participants' language during the interview was transcribed and analyzed for linguistic irregularities, including both semantic anomalies and morphosyntactic errors. Results: Group membership accounted for significant variance in irregularity frequency; autistic participants produced more linguistic irregularities than nonautistic participants. Scores on a standardized language test did not improve model fit. Secondary analyses involving irregularity type (semantic vs. morphosyntactic) showed that group differences were primarily driven by relatively high numbers of semantic unconventionalities produced by the autistic group. While the autistic group made more morphosyntactic errors than the nonautistic group, differences in these numbers were only marginally significant. Conclusions and implications: These findings suggest that a commonly used standardized language test does not adequately predict the number and perhaps type of language irregularities produced by some older autistic children and adolescents during spontaneous discourse. Results also suggest that differences in language use, especially semantic differences, may characterize autistic language, even the language produced by people who score within normal ranges on standardized language tests. It is debatable whether differences reflect underlying language impairments and/or a linguistic style adopted/preferred by autistic speakers. In this paper, we discuss both possibilities and offer suggestions to future research for teasing these possibilities apart. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
21. Dataset-Driven Research to Support Learning and Knowledge Analytics
- Author
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Verbert, Katrien, Manouselis, Nikos, Drachsler, Hendrik, and Duval, Erik
- Abstract
In various research areas, the availability of open datasets is considered as key for research and application purposes. These datasets are used as benchmarks to develop new algorithms and to compare them to other algorithms in given settings. Finding such available datasets for experimentation can be a challenging task in technology enhanced learning, as there are various sources of data that have not been identified and documented exhaustively. In this paper, we provide such an analysis of datasets that can be used for research on learning and knowledge analytics. First, we present a framework for the analysis of educational datasets. Then, we analyze existing datasets along the dimensions of this framework and outline future challenges for the collection and sharing of educational datasets. (Contains 3 tables and 7 figures.)
- Published
- 2012
22. Strategies for Managing Statistical Complexity with New Software Tools
- Author
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Hammerman, James K. and Rubin, Andee
- Abstract
New software tools for data analysis provide rich opportunities for representing and understanding data. However, little research has been done on how learners use these tools to think about data, nor how that affects teaching. This paper describes several ways that learners use new software tools to deal with variability in analyzing data, specifically in the context of comparing groups. The two methods we discuss are 1) reducing the apparent variability in a data set by grouping the values using numerical bins or cut points and 2) using proportions to interpret the relationship between bin size and group size. This work is based on our observations of middle- and high-school teachers in a professional development seminar, as well as of students in these teachers' classrooms, and in a 13-week sixth grade teaching experiment. We conclude with remarks on the implications of these uses of new software tools for research and teaching. (Contains 9 figures.)
- Published
- 2004
23. Utilizing Federal Reporting Requirements to Generate Useful Data at the Local Level: Creating an Open-Book Data Base.
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Carifio, James and Shwedel, Allan
- Abstract
Various procedures, technologies, and products were developed by the Massachusetts Board of Regents and the Massachusetts Community Colleges in implementing the student followup component of the Vocational Education Data System (VEDS). The Board of Regents took the lead in coordinating the VEDS followup study among the 15 state-supported community colleges. A key feature of the followup study planning sessions was discussion about collecting useful information beyond the minimum required for the VEDS report. An open-book database approach was adopted instead of minimal compliance with federal regulations. An operational analysis of the outcomes from the process included the organizational planning and structure that evolved from the groundwork for this project, the project products such as applications software, and operational difficulties encountered in implementing the project (content validity, confidentiality, and access). Data analyses were conducted at several different levels to produce reports for the federal government, state educational agencies, and the community colleges. (Selected aspects of these analyses are summarized.) (YLB)
- Published
- 1983
24. Frequency and characteristics of echoes and self-repetitions in minimally verbal and verbally fluent autistic individuals.
- Author
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Maes, Pauline, La Valle, Chelsea, and Tager-Flusberg, Helen
- Subjects
ASPERGER'S syndrome in children ,AUTISM in children ,RESEARCH funding ,DATA analysis ,UNIVERSITIES & colleges ,INTELLIGIBILITY of speech ,DESCRIPTIVE statistics ,ASPERGER'S syndrome in adolescence ,NONVERBAL communication ,STATISTICS ,SPEECH evaluation ,PSYCHOLOGICAL tests ,CONFIDENCE intervals ,AUTISM in adolescence - Abstract
Background and aims: Nongenerative speech is the rote repetition of words or phrases heard from others or oneself. The most common manifestations of nongenerative speech are immediate and delayed echolalia, which are a well-attested clinical feature and a salient aspect of atypical language use in autism. However, there are no current estimates of the frequency of nongenerative speech, and the individual characteristics associated with nongenerative speech use in individuals across the autistic spectrum are poorly understood. In this study, we aim to measure and characterize spontaneous and nongenerative speech use in minimally verbal and verbally fluent autistic children and adolescents. Methods: Participants were 50 minimally verbal and 50 verbally fluent autistic individuals aged 6 to 21 years. Spontaneous and nongenerative speech samples were derived from SALT transcripts of ADOS-2 assessments. Participants' intelligible speech utterances were categorized as spontaneous or nongenerative. Spontaneous versus nongenerative utterances were compared between language subgroups on frequency of use and linguistic structure. Associations between nongenerative speech use and a series of individual characteristics (ADOS-2 subscale scores, nonverbal IQ, receptive vocabulary, and chronological age) were investigated over the whole sample and for each language subgroup independently. Results: Almost all participants produced some nongenerative speech. Minimally verbal individuals produced significantly more nongenerative than spontaneous utterances, and more nongenerative utterances compared to verbally fluent individuals. Verbally fluent individuals produced limited rates of nongenerative utterances, in comparison to their much higher rates of spontaneous utterances. Across the sample, nongenerative utterance rates were associated with nonverbal IQ and receptive vocabulary, but not separately for the two language subgroups. In verbally fluent individuals, only age was significantly inversely associated with nongenerative speech use such that older individuals produced fewer nongenerative utterances. In minimally verbal individuals, there were no associations between any of the individual characteristics and nongenerative speech use. In terms of linguistic structure, the lexical diversity of nongenerative and spontaneous utterances of both language subgroups was comparable. Morphosyntactic complexity was higher for spontaneous compared to nongenerative utterances in verbally fluent individuals, while no differences emerged between the two utterance types in minimally verbal individuals. Conclusions: Nongenerative speech presents differently in minimally verbal and verbally fluent autistic individuals. Although present in verbally fluent individuals, nongenerative speech appears to be a major feature of spoken language in minimally verbal children and adolescents. Implications: Our results advocate for more research on the expressive language profiles of autistic children and adolescents who remain minimally verbal and for further investigations of nongenerative speech, which is usually excluded from language samples. Given its prevalence in the spoken language of minimally verbal individuals, nongenerative speech could be used as a way to engage in and maintain communication with this subgroup of autistic individuals. [ABSTRACT FROM AUTHOR]
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- 2024
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25. Current and long-term spousal caregiving and onset of cardiovascular disease.
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Capistrant, Benjamin D., Moon, J. Robin, Berkman, Lisa F., and Glymour, M. Maria
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AGE factors in disease ,CARDIOVASCULAR diseases risk factors ,CAREGIVERS ,CLUSTER analysis (Statistics) ,CONFIDENCE intervals ,STATISTICAL correlation ,EPIDEMIOLOGY ,LONGITUDINAL method ,MEDLINE ,PSYCHOLOGICAL tests ,RESEARCH funding ,STATISTICAL sampling ,SCALES (Weighing instruments) ,SPOUSES ,DATA analysis ,ACTIVITIES of daily living ,SOCIOECONOMIC factors ,BODY mass index ,DATA analysis software ,DESCRIPTIVE statistics - Abstract
Background Prior evidence suggests that caregiving may increase risk of cardiovascular disease (CVD) onset. This association has never been examined in a nationally (USA) representative sample, and prior studies could not fully control for socioeconomic confounders. This paper seeks to estimate the association between spousal caregiving and incident CVD in older Americans. Methods Married, CVD-free Health and Retirement Study respondents aged 50+ years (n=8472) were followed up to 8 years (1669 new stroke or heart disease diagnoses). Current caregiving exposure was defined as assisting a spouse with basic or instrumental activities of daily living ≥14 h/week according to the care recipients' report in the most recent prior biennial survey; we define providing ≥14 h/week of care at two consecutive biennial surveys as 'long-term caregiving'. Inverse probability weighted discrete-time hazard models with time-updated exposure and covariate information (including socioeconomic and cardiovascular risk factors) were used to estimate the effect of caregiving on incident CVD. Results Caregiving significantly predicted CVD incidence (HR=1.35, 95% CI 1.06 to 1.68) in the population overall. Long-term caregiving was associated with double the risk of CVD onset (HR=1.95, 95% CI 1.19 to 3.18). This association for long-term care givers varied significantly by race (p<0.01): caregiving predicted CVD onset for white (HR=2.37, 95% CI 1.43 to 3.92) but not for non-white (HR=0.28, 95% CI 0.06 to 1.28). Conclusions Spousal caregiving independently predicted risk of CVD in a large sample of US adults. There was significant evidence that the effect for long-term care givers differs for non-whites and white. [ABSTRACT FROM AUTHOR]
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- 2012
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26. A physicist at Woods Hole: Introducing the image intensifier and image processing to cell biology
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Anderson, Nancy
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PHYSICISTS , *IMAGE processing , *CYTOLOGY , *DATA analysis - Abstract
In 1963, by invitation, particle physicist George Reynolds (Princeton University) brought an image intensifier to Woods Hole Marine Biological Laboratory. Together, he and a group of biologists began experimenting with the device as a way to create images of cells in low-light level situations, especially in the study of bioluminescence. In this paper I am interested in how the scientists, a physicist and biologists in collaboration, assessed, interpreted and presented the pictures that they created with the aid of image intensification. In particular, I consider the problem of ‘noise’ in the image. The paper ends with an example of how Reynolds and a biologist at Woods Hole contended with the presence of noise in images used for publication. Here is an example of how data is modified, that is, enhanced, to serve as scientific evidence. By presenting an early and simple case of the altered image I reveal one way scientists addressed the potentiality of presenting inappropriately modified data – a concern that has garnered much attention in the current age of digital imaging technologies. [ABSTRACT FROM AUTHOR]
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- 2010
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27. Impact of an Electronic Pain and Opioid Risk Assessment Program: Are There Improvements in Patient Encounters and Clinic Notes?
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Butler, Stephen F., Zacharoff, Kevin L., Charity, Sadaf, Black, Ryan A., Chung, Emma, Barreveld, Antje, Clark, Molly S., and Jamison, Robert N.
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- *
THERAPEUTIC use of narcotics , *ANALGESICS , *SUBSTANCE abuse risk factors , *MEDICAL databases , *INFORMATION storage & retrieval systems , *CHI-squared test , *HOSPITALS , *CHRONIC pain , *COMMUNICATION , *DOCUMENTATION , *FISHER exact test , *MEDICAL cooperation , *MEDICAL records , *PATIENT satisfaction , *PHYSICIAN-patient relations , *PROBABILITY theory , *PSYCHOLOGICAL tests , *QUESTIONNAIRES , *REGRESSION analysis , *RESEARCH , *RESEARCH funding , *RISK assessment , *SELF-evaluation , *STATISTICS , *T-test (Statistics) , *DATA analysis , *PAIN measurement , *DATA analysis software , *PHYSICIANS' attitudes , *DESCRIPTIVE statistics , *BRIEF Pain Inventory - Abstract
Objective. A comprehensive electronic self-report assessment, called PainCAS1® (Clinical Assessment System), was developed and implemented in three clinics. PainCAS captures demographic information, pain assessment, quality-of-life variables, and contains validated, electronic versions of screeners for risk of aberrant opioid-related behaviors (the SOAPP and COMM). This investigation sought to determine the impact of PainCAS on documentation of pain and opioid risk evaluations. Exploratory hypotheses examined changes in the content of the patient-provider interaction and any impact on outcome. Methods. In study 1, chart reviews were conducted between pain patients who completed the electronic program (N = 89) and controls who represented standard of care (N = 120). In study 2, two groups of chronic pain patients (treatment-as-usual Control condition = 75, PainCAS Experimental condition = 72) were interviewed after completing their index clinic visit and completed mailed questionnaires 3 months later. Results. Results revealed significantly more key, pain-relevant chart elements documented in charts of patients who completed the PainCAS than those using a traditional paper questionnaire (Study 1; <0.001). In Study 2, the Experimental group reported more discussion about legal issues, substance use history, and medication safety compared with the Control group (p<0.05). Satisfaction questionnaire responses supported provider and patient perceived benefit from using PainCAS. However, as expected, no differences were found between conditions on outcome measures of pain, mood, and function. Conclusions. Results indicate that use of the PainCAS electronic pain assessment improves documentation of chart elements in clinic notes and is associated with increased discussion of key, painrelevant topics during the clinical visit. [ABSTRACT FROM AUTHOR]
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- 2016
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28. Stool Toxin Concentration Does Not Distinguish Clostridioides difficile Infection from Colonization in Children Less Than 3 Years of Age.
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Sandora, Thomas J, Williams, David N, Daugherty, Kaitlyn, Geer, Christine, Cuddemi, Christine, Kociolek, Larry K, Chen, Xinhua, Xu, Hua, Savage, Timothy J, Banz, Alice, Garey, Kevin W, Gonzales-Luna, Anne J, Kelly, Ciarán P, and Pollock, Nira R
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HOST-bacteria relationships ,STATISTICS ,CHILDREN'S hospitals ,FECES ,CLOSTRIDIUM diseases ,DIARRHEA in children ,STATISTICAL hypothesis testing ,BACTERIAL toxins ,DATA analysis ,DATA analysis software ,LONGITUDINAL method ,NUCLEIC acid amplification techniques - Abstract
In a prospective cohort study, stools from children <3 years with and without diarrhea who were Clostridioides difficile nucleic acid amplification test-positive underwent ultrasensitive and quantitative toxin measurement. Among 37 cases and 46 controls, toxin concentration distributions overlapped substantially. Toxin concentration alone does not distinguish C. difficile infection from colonization in young children. [ABSTRACT FROM AUTHOR]
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- 2022
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29. Like, it's important: The frequency and use of the discourse marker like in older autistic children.
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Jones, Rebekah, Zane, Emily R, and Grossman, Ruth B
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STATISTICS ,ANALYSIS of variance ,CONVERSATION ,COMMUNICATIVE competence ,INTERVIEWING ,AUTISM in adolescence ,COMPARATIVE studies ,T-test (Statistics) ,AUTISM in children ,DISCOURSE analysis ,DESCRIPTIVE statistics ,REPEATED measures design ,RESEARCH funding ,DATA analysis ,INTELLIGENCE tests ,VIDEO recording - Abstract
Background & Aims: Discourse markers, such as well or like, serve a variety of functions to support conversational reciprocity: filling pauses, aiding word-finding, and modulating turn-taking by holding the conversational floor. Previous research shows that autistic individuals use discourse markers less frequently than non-autistic (NonAu) peers; however, the discourse marker like has not been included in that research, despite its ubiquitous use by NonAu individuals, and despite the fact that like serves important pragmatic functions that are not encoded by any other discourse marker. Specifically, like signals to the listener that the content of upcoming speech is 1) Important/new; 2) Loose/approximate; 3) Reformulative; or 4) Quotative. The current study addresses this gap in the literature by comparing the frequency of discourse marker like use between older autistic and non-autistic children as well as exploring patterns of usage between the four like functions. Methods: Twenty-one 10-to-17-year-old children on the autism spectrum and 20 NonAu peers—statistically matched on age, sex, IQ and language scores—engaged in a semi-structured interview with a researcher. Uses of discourse-marker like were identified from written transcripts of interviews and each use was categorized into one of the four functions. Results: There were no significant differences in like frequencies between groups, nor were there differences in relative proportions of functions used by each group. Conclusions: Research consistently indicates that autistic individuals use discourse markers significantly less often than their NonAu counterparts, but the findings from our study suggest that this pattern does not persist to all such markers. This group of older autistic children use like as often as their peers and use it to signify similar information about upcoming speech to their listener. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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30. ActiGraph™ Activity Monitors: "The Firmware Effect"
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JOHN, DINESH, SASAKI, JEFFER, HICKEY, AMANDA, MAVILIA, MARIANNA, and FREEDSON, PATTY S.
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ANALYSIS of variance , *COMPUTER software , *RESEARCH funding , *STATISTICS , *WALKING , *DATA analysis , *TREADMILLS , *BODY mass index , *ACCELEROMETRY , *DESCRIPTIVE statistics - Abstract
Purpose: The objective of this study is to examine the effect of different firmware versions on ActiGraph™ counts from the laboratory, field, and mechanical shaker testing. Methods: Counts from 5 GT3X and 7 GT1M firmware versions were compared in this study. Monitors uploaded with these firmware versions were worn on the hip by 15 participants (age = 24.9 ± 5.0 yr, BM1= 23.9 ± 2.4 kg•m-2) who performed laboratory-based treadmill (walking: 1.5, 3.0 and 4.5 mph; running: 6 mph) and simulated free-living activities (sitting, self-paced walking, filing papers, dusting, vacuuming, and cleaning the room). Testing was also conducted during 1 d of free living and using orbital mechanical shaker testing at 0.7, 1.3, 2.0, and 3.0 Hz. Intermonitor comparisons for vertical, anteroposterior, mediolateral, and triaxial vector magnitude counts were conducted using oneway ANOVA and post hoc pairwise comparisons (P < 0.05). Results: Vertical counts during treadmill walking at 1.5 mph from the GT1M monitor with firmware version 1.1.0. were significantly greater (P < 0.05; 75%) than output from the monitor with firmware version 1.3.0. Shaker testing revealed statistically significant differences in vertical and lateral counts. Although there were no significant differences among activity counts in the free-living comparisons, firmware version 1.1.0. produced the highest vertical counts during this protocol. Conclusion: Greater sensitivity of firmware version 1.1.0. to low-frequency sedentary activities resulted in greater counts than other firmware versions. It is recommended that before releasing new firmware, ActiGraph™ perform both human and mechanical shaker testing to verify comparability in outputs between new and previous firmware versions. [ABSTRACT FROM AUTHOR]
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- 2014
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31. Second-hand smoke exposure and mitigation strategies among home visitation workers.
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Keske, Robyn R., Rees, Vaughan W., Behm, Ilan, Wadler, Brianna M., and Geller, Alan C.
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PASSIVE smoking ,PATIENT education ,CONFIDENCE intervals ,EPIDEMIOLOGY ,HOME care services ,MEDICAL personnel ,QUESTIONNAIRES ,RESEARCH ,RESEARCH funding ,LOGISTIC regression analysis ,OCCUPATIONAL hazards ,DATA analysis ,ENVIRONMENTAL exposure ,CROSS-sectional method ,DATA analysis software ,PREVENTION - Abstract
Objectives Protection of workers from second-hand smoke (SHS) in occupational settings is an important policy priority, yet little attention has been given to SHS protection for home visitation health workers, who number almost 2 million in the USA. Self-reported SHS exposure, SHS mitigation strategies and suggestions for further SHS exposure reduction approaches were obtained from home visitation health workers in Massachusetts. Methods A cross-sectional survey was conducted among Massachusetts Early Intervention workers (N¼316) at their state-wide conference in April 2010. Results Eighty-three per cent of respondents reported at least 1 hour per month of SHS exposure, and 16% reported at least 11 hours per month. Nevertheless, only 22% of workers counselled clients on maintaining a smoke-free home. Fewer than 30% of workers had ever voiced concerns to their employing agency, and just 12% had raised their concerns directly with clients. Only 14% stated that their agency had rules designed to protect workers from SHS. Conclusions SHS exposure occurs frequently among home visitation health workers. The data point to a substantial population who are not protected from SHS exposure by formal policies. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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32. Association between local indoor smoking ordinances in Massachusetts and cigarette smoking during pregnancy: a multilevel analysis.
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Nguyen, K. H., Wright, R. J., Sorensen, G., and Subramanian, S. V.
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INDOOR air pollution laws ,BIRTH certificates ,CONFIDENCE intervals ,EPIDEMIOLOGY ,REGRESSION analysis ,RESEARCH funding ,SMOKING ,TIME ,DATA analysis ,DISEASE prevalence ,CROSS-sectional method ,DATA analysis software ,DESCRIPTIVE statistics ,PREGNANCY - Abstract
Objective To estimate the association between local clean indoor air ordinances and prenatal maternal smoking across 351 municipalities in Massachusetts before the 2004 statewide ban and to test the effect of time since ordinance adoption on the association. Methods The authors linked 2002 birth certificate data of women who gave birth in the state and reported a Massachusetts residence (n=67 584) to a database of indoor smoking ordinances in all municipalities. Multilevel regression models accounting for individual- and municipality-level variables estimate the associations between the presence of local smoking ordinances, strength of the ordinances, time since ordinance adoption and prenatal smoking. Results Compared with those living in municipalities with no ordinances, women living in municipalities with a smoking ordinance had lower odds of prenatal smoking (OR=0.72, CI=0.53 to 0.98). No effect was found for 100% smoke-free ordinances. For the analyses testing the effect of time, pregnant women living in municipalities with ordinances enacted >2 years were less likely to smoke than those in municipalities with more recent (<1 year) ordinances. Conclusions Preventing smoking among women of reproductive age is a public health priority. This study suggests that indoor smoking ordinances were associated with lower prenatal smoking prevalence and the favourable effect increased over time. Findings highlight the public health benefit of tobacco control policies. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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33. A prospective cohort study challenging the effectiveness of population-based medical intervention for smoking cessation.
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Alpert, Hillel R., Connolly, Gregory N., and Biener, Lois
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CHI-squared test ,CONFIDENCE intervals ,EPIDEMIOLOGY ,INTERVIEWING ,LONGITUDINAL method ,HEALTH outcome assessment ,PATIENT education ,RESEARCH funding ,STATISTICAL sampling ,SMOKING cessation ,DISEASE relapse ,HEALTH insurance reimbursement ,DATA analysis ,MULTIPLE regression analysis ,TREATMENT effectiveness ,TREATMENT duration ,DESCRIPTIVE statistics ,NICOTINE replacement therapy - Abstract
Objective: To examine the population effectiveness of nicotine replacement therapies (NRTs), either with or without professional counselling, and provide evidence needed to better inform healthcare coverage decisions.Methods: A prospective cohort study was conducted in three waves on a probability sample of 787Massachusetts adult smokers who had recently quit smoking. The baseline response rate was 46%; follow-up was completed with 56% of the designated cohort at wave 2 and 68% at wave 3. The relationship between relapse to smoking at follow-up interviews and assistance used, including NRT with or without professional help, was examined.Results: About one-fourth of recent quitters at each wave reported to have relapsed by the subsequent interview. Odds of relapse were unaffected by use of NRT for >6 weeks either with (p¼0.117) or without(p¼0.159) professional counselling and were highest among prior heavily dependent persons who reported NRT use for any length of time without professionalcounselling (OR 2.68).Conclusions: This study finds that persons who have quit smoking relapsed at equivalent rates, whether or not they used NRT to help them in their quit attempts.Cessation medication policy should be made in the larger context of public health, and increasing individual treatment coverage should not be at the expense of population evidence-based programmes and policies. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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34. Intermediate acting non-depolarizing neuromuscular blocking agents and risk of postoperative respiratory complications: prospective propensity score matched cohort study.
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Grosse-Sundrup, Martina, Henneman, Justin P., Sandberg, Walter S., Bateman, Brian T., Villa Uribe, Jose, Thuy Nguyen, Nicole, Ehrenfeld, Jess M., Martinez, Elizabeth A., Kurth, Tobias, and Eikermann, Matthias
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SURGICAL complication risk factors ,CONFIDENCE intervals ,EPIDEMIOLOGY ,LONGITUDINAL method ,NEUROMUSCULAR blocking agents ,RESEARCH funding ,RESPIRATION ,DATA analysis ,DESCRIPTIVE statistics - Abstract
The article presents a study question contemplating on the increase in a patient’s risk of postoperative respiratory complication due to the use of intermediate acting neuromuscular blocking agents during general anesthesia. It was revealed that use of these drugs was associated with severe postoperative pulmonary complications. The study also found that use of modern intermediate acting neuromuscular blocking agents during surgery increased a patient’s risk of severe respiratory complications.
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- 2012
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35. Disinfection By-Product Exposures and the Risk of Specific Cardiac Birth Defects.
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Wright, J. Michael, Evans, Amanda, Kaufman, John A., Rivera-Núñez, Zorimar, and Narotsky, Michael G.
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CARDIOVASCULAR diseases ,DISINFECTION by-product ,ENVIRONMENTAL health research ,HUMAN abnormalities ,ACETIC acid ,HALOGENS ,DISEASE risk factors ,PHYSIOLOGY ,CONGENITAL heart disease ,VENTRICULAR septal defects ,TETRALOGY of Fallot ,BROMINE compounds ,CONFIDENCE intervals ,HALOCARBONS ,FIRST trimester of pregnancy ,STATISTICS ,STERILIZATION (Disinfection) ,WATER supply ,LOGISTIC regression analysis ,DATA analysis ,CASE-control method ,DATA analysis software ,DESCRIPTIVE statistics ,ODDS ratio ,FETUS - Abstract
BACKGROUND: Epidemiological studies suggest that women exposed to disinfection by-products (DBPs) have an increased risk of delivering babies with cardiovascular defects (CVDs). OBJECTIVE: We examined nine CVDs in relation to categorical DBP exposures including bromoform, chloroform, dibromochloromethane (DBCM), bromodichloromethane (BDCM), monobromoacetic acid (MBAA), dichloroacetic acid (DCAA), trichloroacetic acid (TCAA), and summary DBP measures (HAA5, THMBr, THM4, and DBP9). METHODS: We calculated adjusted odds ratios (aORs) in a case -- control study of birth defects in Massachusetts with complete quarterly 1999-2004 trihalomethane (THM) and haloacetic acid (HAA) data. We randomly matched 10 controls each to 904 CVD cases based on week of conception. Weight-averaged aggregate first-trimester DBP exposures were assigned to individuals based on residence at birth. RESULTS: We detected associations for tetralogy of Fallot and the upper exposure categories for TCAA, DCAA, and HAA5 (aOR range, 3.34-6.51) including positive exposure -- response relationships for DCAA and HAA5. aORs consistent in magnitude were detected between atrial septal defects and bromoform (aOR = 1.56; 95% CI: 1.01, 2.43), as well as DBCM, chloroform, and THM4 (aOR range, 1.26-1.67). Ventricular septal defects (VSDs) were associated with the highest bromoform (aOR = 1.85; 95% CI: 1.20, 2.83), MBAA (aOR = 1.81; 95% CI: 0.85, 3.84), and DBCM (aOR = 1.54; 95% CI: 1.00, 2.37) exposure categories. CONCLUSIONS: To our knowledge, this is the first birth defect study to develop multi-DBP adjusted regression models as well as the first CVD study to evaluate HAA exposures and the second to evaluate bromoform exposures. Our findings, therefore, inform exposure specificity for the consistent associations previously reported between THM4 and CVDs including VSDs. CITATION: Wright JM, Evans A, Kaufman JA, Rivera-Núñez Z, Narotsky MG. 2017. Disinfection by-product exposures and the risk of specific cardiac birth defects. Environ Health Perspect 12 5:269-277; http://dx.doi.org/10.1289/EHP103 [ABSTRACT FROM AUTHOR]
- Published
- 2017
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36. Usability of the Massachusetts Prescription Drug Monitoring Program in the Emergency Department: A Mixed-methods Study.
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Poon, Sabrina J., Greenwood‐Ericksen, Margaret B., Gish, Rebecca E., Neri, Pamela M., Takhar, Sukhjit S., Weiner, Scott G., Schuur, Jeremiah D., Landman, Adam B., and Miner, James R.
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DRUG monitoring ,DRUGS ,CLINICAL drug trials ,EMERGENCY medicine ,EMERGENCY physicians ,HOSPITAL emergency services ,INTERVIEWING ,RESEARCH methodology ,MEDICAL care ,PATIENTS ,QUALITATIVE research ,CERTIFICATION ,DATA analysis ,QUANTITATIVE research ,ACQUISITION of data ,ELECTRONIC health records - Abstract
Objectives Prescription drug monitoring programs ( PDMPs) are underutilized, despite evidence showing that they may reduce the epidemic of opioid-related addiction, diversion, and overdose. We evaluated the usability of the Massachusetts ( MA) PDMP by emergency medicine providers ( EPs), as a system's usability may affect how often it is used. Methods This was a mixed-methods study of 17 EPs. We compared the time and number of clicks required to review one patient's record in the PDMP to three other commonly performed computer-based tasks in the emergency department ( ED: ordering a computed tomography [ CT] scan, writing a prescription, and searching a medication history service integrated within the electronic medical record [ EMR]). We performed semistructured interviews and analyzed participant comments and responses regarding their experience using the MA PDMP. Results The PDMP task took a longer time to complete (mean = 4.22 minutes) and greater number of mouse clicks to complete (mean = 50.3 clicks) than the three other tasks ( CT-pulmonary embolism = 1.42 minutes, 24.8 clicks; prescription = 1.30 minutes, 19.5 clicks; SureScripts = 1.45 minutes, 9.5 clicks). Qualitative analysis yielded four main themes about PDMP usability, three negative and one positive: 1) difficulty accessing the PDMP, 2) cumbersome acquiring patient medication history information within the PDMP, 3) nonintuitive display of patient medication history information within the PDMP, and 4) overall perceived value of the PDMP despite an inefficient interface. Conclusions The complicated processes of gaining access to, logging in, and using the MA PDMP are barriers to preventing its more frequent use. All states should evaluate the PDMP usability in multiple practice settings including the ED and work to improve provider enrollment, login procedures, patient information input, prescription data display, and ultimately, PDMP data integration into EMRs. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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37. Pediatric Evaluation of Disability Inventory Computer Adaptive Test (PEDI-CAT) and Alberta Infant Motor Scale (AIMS): Validity and Responsiveness.
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Dumas, Helene M., Fragala-Pinkham, Maria A., Rosen, Elaine L., Lombard, Kelly A., and Farrell, Colleen
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MOVEMENT disorders ,CHI-squared test ,CHILDREN'S hospitals ,COMPUTER adaptive testing ,CONFIDENCE intervals ,PROBABILITY theory ,PSYCHOLOGICAL tests ,PSYCHOMETRICS ,RESEARCH evaluation ,STATISTICS ,DATA analysis ,STATISTICAL reliability ,RESEARCH methodology evaluation ,DATA analysis software ,DESCRIPTIVE statistics ,ODDS ratio ,CHILDREN ,DIAGNOSIS - Abstract
Background. Although preliminary studies have established a good psychometric foundation for the Pediatric Evaluation of Disability Inventory Computer Adaptive Test (PEDI-CAT) for a broad population of youth with disabilities, additional validation is warranted for young children. Objective. The study objective was to (1) examine concurrent validity, (2) evaluate the ability to identify motor delay, and (3) assess responsiveness of the PEDI-CAT Mobility domain and the Alberta Infant Motor Scale (AIMS). Methods. Fifty-three infants and young children (<18 months of age) admitted to a pediatric postacute care hospital and referred for a physical therapist examination were included. The PEDI-CAT Mobility domain and the AIMS were completed during the initial physical therapist examination, at 3-month intervals, and at discharge. A Spearman rank correlation coefficient was used to examine concurrent validity. A chi-square analysis of age percentile scores was used to examine the identification of motor delay. Mean score differences from initial assessment to final assessment were analyzed to evaluate responsiveness. Results. A statistically significant, fair association (r
s =.313) was found for the 2 assessments. There was no significant difference in motor delay identification between tests; however, the AIMS had a higher percentage of infants with scores at or below the fifth percentile. Participants showed significant changes from initial testing to final testing on the PEDI-CAT Mobility domain and the AIMS. Limitations. This study included only young patients (<18 months of age) in a pediatric postacute hospital; therefore, the generalizability is limited to this population. Conclusions. The PEDI-CAT Mobility domain is a valid measure for young children admitted to postacute care and is responsive to changes in motor skills. However, further item and standardization development is needed before the PEDI-CAT is used confidently to identify motor delay in children <18 months of age. [ABSTRACT FROM AUTHOR]- Published
- 2015
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38. Risk assessment and clinical decision making for colorectal cancer screening.
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Schroy, Paul C., Caron, Sarah E., Sherman, Bonnie J., Heeren, Timothy C., and Battaglia, Tracy A.
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TUMOR prevention ,COLON tumor prevention ,RECTUM tumors ,COLON tumors ,MEDICAL personnel ,ATTITUDE (Psychology) ,CHI-squared test ,COMMUNICATION ,CONFIDENCE intervals ,CONTENT analysis ,EXPERIMENTAL design ,FISHER exact test ,INTERVIEWING ,RESEARCH methodology ,NURSE practitioners ,PHYSICIANS ,PRIMARY health care ,QUESTIONNAIRES ,RESEARCH funding ,RISK assessment ,STATISTICAL sampling ,DECISION making in clinical medicine ,QUALITATIVE research ,DATA analysis ,QUANTITATIVE research ,RELATIVE medical risk ,CROSS-sectional method ,DESCRIPTIVE statistics ,EARLY detection of cancer ,TUMOR risk factors ,CANCER risk factors - Abstract
The article presents a study which assesses the importance of risk stratification in primary care providers (PCP) and clinical decision making on the assessment tool for advanced colorectal neoplasia (ACN) screening. The researchers detail the study design, participants and setting, data collection procedure and outcomes. The study implies that risk stratification is important in clinical decision making, but few providers also consider risk factors other than age for average-risk patients.
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- 2015
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39. Lead Exposure and Tremor among Older Men: The VA Normative Aging Study.
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Ji, John S., Power, Melinda C., Sparrow, David, Spiro III, Avron, Hu, Howard, Louis, Elan D., and Weisskopf, Marc G.
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ANALYSIS of bones ,LEAD analysis ,AGE distribution ,BIOMARKERS ,CONFIDENCE intervals ,LEAD ,LONGITUDINAL method ,MEN'S health ,OXIDOREDUCTASES ,REGRESSION analysis ,RESEARCH funding ,STATISTICS ,TREMOR ,DATA analysis ,DATA analysis software ,DESCRIPTIVE statistics ,ODDS ratio - Abstract
BACKGROUND: Tremor is one of the most common neurological signs, yet its etiology is poorly understood. Case--control studies suggest an association between blood lead and essential tremor, and that this association is modified by polymorphisms in the 5-aminolevulinic acid dehydrogenase (ALAD) gene. OBJECTIVE: We aimed to examine the relationship between lead and tremor, including modification by ALAD, in a prospective cohort study, using both blood lead and bone lead--a biomarker of cumulative lead exposure. METHODS: We measured tibia (n = 670) and patella (n = 672) bone lead and blood lead (n = 807) among older men (age range, 50-98 years) in the VA Normative Aging Study cohort. A tremor score was created based on an approach using hand-drawing samples. AL AD genotype was dichotomized as ALAD-2 carriers or not. We used linear regression adjusted for age, education, smoking, and alcohol intake to estimate the associations between lead biomarkers and tremor score. RESULTS: In unadjusted analyses, there was a marginal association between quintiles of all lead biomarkers and tremor scores (p-values < 0.13), which did not persist in adjusted models. Age was the strongest predictor of tremor. Among those younger than the median age (68.9 years), tremor increased significantly with blood lead (p = 0.03), but this pattern was not apparent for bone lead. We did not see modification by AL AD or an association between bone lead and change in tremor score over time. CONCLUSION: Our results do not strongly support an association between lead exposure and tremor, and suggest no association with cumulative lead biomarkers, although there is some suggestion that blood lead may be associated with tremor among the younger men in our cohort. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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40. Boston Violence Intervention Advocacy Program: A Qualitative Study of Client Experiences and Perceived Effect El Violence Intervention Advocacy Program de Boston: Estudio Cualitativo de las Experiencias y el Efecto Percibido del Usuario.
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James, Thea L., Bibi, Salma, Langlois, Breanne K., Dugan, Elizabeth, Mitchell, Patricia M., and Mello, Michael J.
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VIOLENCE prevention ,EMERGENCY medicine ,ETHNIC groups ,EXPERIENCE ,INTERVIEWING ,METROPOLITAN areas ,PATIENT advocacy ,PENETRATING wounds ,SENSORY perception ,RACE ,WOUNDS & injuries ,QUALITATIVE research ,DATA analysis - Abstract
Copyright of Academic Emergency Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2014
- Full Text
- View/download PDF
41. Assessing parental self-efficacy for obesity prevention related behaviors.
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Wright, Julie A., Adams, William G., Laforge, Robert G., Berry, Donna, and Friedman, Robert H.
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PREVENTION of childhood obesity ,ANALYSIS of variance ,ANTHROPOMETRY ,BLACK people ,CHI-squared test ,DRINKING behavior ,FACTOR analysis ,FRUIT juices ,INTERVIEWING ,PARENTING ,RESEARCH funding ,SELF-efficacy ,STATISTICS ,WHITE people ,DATA analysis ,INTER-observer reliability ,PARENT attitudes ,EXERCISE intensity ,PHYSICAL activity ,DATA analysis software ,DESCRIPTIVE statistics - Abstract
Background Reliable, valid and theoretically consistent measures that assess a parent's self-efficacy for helping a child with obesity prevention behaviors are lacking. Objectives To develop measures of parental self-efficacy for four behaviors: 1) helping their child get at least 60 minutes of moderate intensity physical activity every day, 2) helping one's child consume five servings of fruits and vegetables each day, 3) limiting sugary drinks to once a week, and 4) limiting consumption of fruit juice to 6 ounces every day. Methods Sequential methods of scale development were used. An item pool was generated based on theory and qualitative interviews, and reviewed by content experts. Scales were administered to parents or legal guardians of children 4-10 years old. The item pool was reduced using principal component analysis. Confirmatory factor analysis tested the resulting models in a separate sample. Subjects 304 parents, majority were women (88%), low-income (61%) and single parents (61%). Ethnic distribution was 40% Black and 37% white. Results All scales had excellent fit indices: Comparative fit index > .98 and chi-squares (Pediatrics 120 Suppl 4:S229-253, 2007) = .85 - 7.82. Alphas and one-week test-retest ICC's were ≥ .80. Significant correlations between self-efficacy scale scores and their corresponding behaviors ranged from .13-.29 (all p < .03). Conclusions We developed four, four-item self-efficacy scales with excellent psychometric properties and construct validity using diverse samples of parents. Clinical trial registration: NCT01768533. [ABSTRACT FROM AUTHOR]
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- 2014
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42. Effectiveness of the Cigarette Ignition Propensity Standard in Preventing Unintentional Residential Fires in Massachusetts.
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Alpert, Hillel R., Christiani, David C., John Orav, E., Dockery, Douglas W., and Connolly, Gregory N.
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FIRE prevention laws ,SMOKING laws ,COMPARATIVE studies ,CONFIDENCE intervals ,EPIDEMIOLOGY ,EVALUATION of medical care ,NEW product development ,POISSON distribution ,RESEARCH funding ,TIME series analysis ,DATA analysis ,RESIDENTIAL care ,RETROSPECTIVE studies ,DESCRIPTIVE statistics - Abstract
Objectives. We evaluated the Massachusetts Fire Safe Cigarette Law's (FSCL's) effectiveness in preventing residential fires. Methods. We examined unintentional residential fires reported to the Massachusetts Fire Incident Reporting System from 2004 to 2010.We analyzed FSCL effect on the likelihood of cigarette- versus noncigarette-caused fires and effect modification by fire scenario factors by using an interrupted time series regression model. We analyzed the effect of FSCL on monthly fire rates with Poisson regression. Results. Cigarettes caused 1629 unintentional residential fires during the study period. The FSCL was associated with a 28% (95% confidence interval = 12%, 41%) reduction in the odds of cigarette- versus noncigarette-caused fires, although not in analyses restricted to casualty fires, with smaller sample size. The largest reductions were among fires in which human factors were involved; that were first ignited on furniture, bedding, or soft goods; that occurred in living areas; or that occurred in the summer or winter. Conclusions. The FSCL appears to have decreased the likelihood of cigarette caused residential fires, particularly in scenarios for which the ignition propensity standard was developed. Current standards should be adopted, and the need for strengthening should be considered. [ABSTRACT FROM AUTHOR]
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- 2014
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- View/download PDF
43. DEMOGRAPHIC DISPARITIES IN THE TOBACCO RETAIL ENVIRONMENT IN BOSTON: A CITYWIDE SPATIAL ANALYSIS.
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DUNCAN, DUSTIN T., ICHIRO KAWACHI, MELLY, STEVEN J., BLOSSOM, JEFFREY, SORENSEN, GLORIAN, and WILLIAMS, DAVID R.
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CENSUS ,STATISTICAL correlation ,GEOGRAPHIC information systems ,HISPANIC Americans ,MAPS ,METROPOLITAN areas ,MULTIVARIATE analysis ,REGRESSION analysis ,SALES personnel ,STATISTICS ,TOBACCO ,DATA analysis ,RESIDENTIAL patterns ,SOCIOECONOMIC factors ,HEALTH equity ,DESCRIPTIVE statistics ,CLASSIFICATION - Abstract
The article discusses research which investigated racial and socioeconomic disparities in the tobacco retailer landscape in Boston, Massachusetts. It reports study details which include the use of the 2010 U.S. census data for the region, calculation of tobacco retail density, and the spatial analysis performed. It also explores the correlation between tobacco retailer density and neighborhood demographics and possible reasons behind the lack of patterning in tobacco retail stores.
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- 2014
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44. Improvements in Health Status after Massachusetts Health Care Reform.
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WEES, PHILIP J., ZASLAVSKY, ALAN M., and AYANIAN, JOHN Z.
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CONFIDENCE intervals ,EPIDEMIOLOGY ,HEALTH care reform ,HEALTH status indicators ,RESEARCH methodology ,MEDICAL care ,STATISTICAL hypothesis testing ,DATA analysis ,DATA analysis software ,DESCRIPTIVE statistics - Abstract
Context Massachusetts enacted health care reform in 2006 to expand insurance coverage and improve access to health care. The objective of our study was to compare trends in health status and the use of ambulatory health services before and after the implementation of health reform in Massachusetts relative to that in other New England states. Methods We used a quasi-experimental design with data from the Behavioral Risk Factor Surveillance System from 2001 to 2011 to compare trends associated with health reform in Massachusetts relative to that in other New England states. We compared self-reported health and the use of preventive services using multivariate logistic regression with difference-in-differences analysis to account for temporal trends. We estimated predicted probabilities and changes in these probabilities to gauge the differential effects between Massachusetts and other New England states. Finally, we conducted subgroup analysis to assess the differential changes by income and race/ethnicity. Findings The sample included 345,211 adults aged eighteen to sixty-four. In comparing the periods before and after health care reform relative to those in other New England states, we found that Massachusetts residents reported greater improvements in general health (1.7%), physical health (1.3%), and mental health (1.5%). Massachusetts residents also reported significant relative increases in rates of Pap screening (2.3%), colonoscopy (5.5%), and cholesterol testing (1.4%). Adults in Massachusetts households that earned up to 300% of the federal poverty level gained more in health status than did those above that level, with differential changes ranging from 0.2% to 1.3%. Relative gains in health status were comparable among white, black, and Hispanic residents in Massachusetts. Conclusions Health care reform in Massachusetts was associated with improved health status and the greater use of some preventive services relative to those in other New England states, particularly among low-income households. These findings may stem from expanded insurance coverage as well as innovations in health care delivery that accelerated after health reform. [ABSTRACT FROM AUTHOR]
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- 2013
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45. Effects of Proximate Foreclosed Properties on Individuals' Weight Gain in Massachusetts, 1987-2008.
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Arcaya, Mariana, Glymour, M. Maria, Chakrabarti, Prabal, Christakis, Nicholas A., Kawachi, Ichiro, and Subramanian, S.V.
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WEIGHT gain ,CONFIDENCE intervals ,ECONOMICS ,EPIDEMIOLOGY ,HOUSING ,LONGITUDINAL method ,SURVEYS ,DATA analysis ,RESIDENTIAL patterns ,BODY mass index ,DATA analysis software ,DESCRIPTIVE statistics ,PSYCHOLOGY - Abstract
Objectives. We assessed the extent to which living near foreclosed properties is associated with individuals' subsequent weight gain. Methods. We linked health and address information on 2068 Framingham Offspring Cohort members (7830 assessments) across 5 waves (1987-2008) to records of all Massachusetts foreclosures during that period. We used counts of lender-owned foreclosed properties within 100 meters of participants' homes to predict body mass index (BMI; defined as weight in kilograms divided by the square of height in meters) and the odds of being overweight (BMI ‡ 25), adjusted for individual and area-level covariates. Results. Mean BMI increased from 26.6 in 1987-1991 to 28.5 in 2005-2008; overweight prevalence increased from 59.0% to 71.3%. Foreclosures were within 100 meters of 159 (7.8%) participants' homes on 187 occasions (1.8%), in 42 municipalities (21%). For each additional foreclosure, BMI increased by 0.20 units (95% confidence interval [CI] = 0.03, 0.36), and the odds ratio for being overweight associated with proximity to a foreclosure was 1.77 (95% CI = 1.02, 3.05). Conclusions. We found a robust association between living near foreclosures and BMI, suggesting that neighbors' foreclosures may spur weight gain. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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46. The Effect of Bundled Payment on Emergency Department Use: Alternative Quality Contract Effects After Year One.
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Sharp, Adam L., Song, Zirui, Safran, Dana G., Chernew, Michael E., Fendrick, A., and Griffey, Richard T.
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HOSPITAL emergency services ,HEALTH insurance reimbursement ,EMERGENCY medicine ,INSURANCE companies ,MEDICAL quality control ,PHYSICIANS ,DATA analysis ,ECONOMICS - Abstract
Copyright of Academic Emergency Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2013
- Full Text
- View/download PDF
47. Change in Health Insurance Coverage in Massachusetts and Other New England States by Perceived Health Status: Potential Impact of Health Reform.
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Dhingra, Satvinder S., Zack, Matthew M., Strine, Tara W., Druss, Benjamin G., and Simoes, Eduardo
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HEALTH care reform ,HYPOTHESIS ,CONFIDENCE intervals ,EPIDEMIOLOGY ,HEALTH status indicators ,INSURANCE ,LONGITUDINAL method ,RESEARCH methodology ,MEDICAL needs assessment ,MENTAL health ,QUESTIONNAIRES ,SURVEYS ,DATA analysis ,ACTIVITIES of daily living ,SECONDARY analysis ,DESCRIPTIVE statistics - Abstract
Objectives. We examined the impact of Massachusetts health reform and its public health component (enacted in 2006) on change in health insurance coverage by perceived health. Methods. We used 2003-2009 Behavioral Risk Factor Surveillance System data. We used a difference-in-differences framework to examine the experience in Massachusetts to predict the outcomes of national health care reform. Results. The proportion of adults aged 18 to 64 years with health insurance coverage increased more in Massachusetts than in other New England states (4.5%; 95% confidence interval [CI] = 3.5%, 5.6%). For those with higher perceived health care need (more recent mentally and physically unhealthy days and activity limitation days [ALDs]), the postreform proportion significantly exceeded prereform (P < .001). Groups with higher perceived health care need represented a disproportionate increase in health insurance coverage in Massachusetts compared with other New England states-from 4.3% (95% CI = 3.3%, 5.4%) for fewer than 14 ALDs to 9.0% (95% CI = 4.5%, 13.5%) for 14 or more ALDs. Conclusions. On the basis of the Massachusetts experience, full implementation of the Affordable Care Act may increase health insurance coverage especially among populations with higher perceived health care need. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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48. Prenatal and Early Childhood Exposure to Tetrachloroethylene and Adult Vision.
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Getz, Kelly D., Janulewicz, Patricia A., Rowe, Susannah, Weinberg, Janice M., Winter, Michael R., Martin, Brett R., Vieira, Veronica M., White, Roberta F., and Aschengrau, Ann
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ALGORITHMS ,COLOR blindness ,CONFIDENCE intervals ,EPIDEMIOLOGY ,HYDROCARBONS ,LONGITUDINAL method ,RESEARCH funding ,SMOKING ,VISION testing ,VISION disorders ,WATER supply ,OCCUPATIONAL hazards ,DATA analysis ,ENVIRONMENTAL exposure ,RETROSPECTIVE studies ,DATA analysis software ,DESCRIPTIVE statistics ,PRENATAL exposure delayed effects ,ADULTS ,PREGNANCY - Abstract
Background: Tetrachloroethylene (PCE; or perchloroethylene) has been implicated in visual impairments among adults with occupational and environmental exposures as well as children born to women with occupational exposure during pregnancy. Objectives: Using a population-based retrospective cohort study, we examined the association between prenatal and early childhood exposure to PCE-contaminated drinking water on Cape Cod, Massachusetts, and deficits in adult color vision and contrast sensitivity. Methods: We estimated the amount of PCE that was delivered to the family residence from participants' gestation through 5 years of age. We administered to this now adult study population vision tests to assess acuity, contrast sensitivity, and color discrimination. Results: Participants exposed to higher PCE levels exhibited lower contrast sensitivity at intermediate and high spatial frequencies compared with unexposed participants, although the differences were generally not statistically significant. Exposed participants also exhibited poorer color discrimination than unexposed participants. The difference in mean color confusion indices (CCI) was statistically significant for the Farnsworth test but not Lanthony's D-15d test [Farnsworth CCI mean difference = 0.05, 95% confidence interval (CI): 0.003, 0.10; Lanthony CCI mean difference = 0.07, 95% CI: -0.02, 0.15]. Conclusions: Prenatal and early childhood exposure to PCE-contaminated drinking water may be associated with long-term subclinical visual dysfunction in adulthood, particularly with respect to color discrimination. Further investigation of this association in similarly exposed populations is necessary. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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49. Developing community health worker diabetes training.
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Ferguson, W. J., Lemay, C. A., Hargraves, J. L., Gorodetsky, T., and Calista, J.
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CURRICULUM evaluation ,COMMUNITY health workers ,DIABETES ,FOCUS groups ,INTERVIEWING ,RESEARCH methodology ,PATIENT education ,PROBABILITY theory ,PROFESSIONAL employee training ,RESEARCH funding ,SELF-evaluation ,SOUND recordings ,STATISTICS ,SUPERVISION of employees ,T-test (Statistics) ,DATA analysis ,OCCUPATIONAL roles ,PRE-tests & post-tests ,DATA analysis software ,DESCRIPTIVE statistics ,PSYCHOLOGY ,EDUCATION - Abstract
We designed, implemented and evaluated a 48-hour training program for community health workers (CHWs) deployed to diabetes care teams in community health centers (CHCs). The curriculum included core knowledge/skills with diabetes content to assist CHWs in developing patient self-management goals. Our qualitative evaluation included pre/post-knowledge outcomes and encounter data from the field. CHWs and their supervisors were interviewed providing qualitative outcome data of the training process and program implementation. There were statistically significant increases in the scores of CHWs’ self-reported knowledge in 8 of 15 curricular domains. Qualitative analysis revealed that CHWs preferred skill-based and case-based teaching, shorter training days but more contact hours. CHWs reported that pre-deployment training alone is insufficient for successful integration into care teams. CHW supervisors reported that CHC’s readiness to accept CHWs as members of the care team was as important to successful deployment as training. With respect to implementation, supervision by social workers was deemed more successful than nursing supervision. Field data showed that patient encounters lasted less than 30 min and self-management goals focused on appointment keeping, diet, exercise and glucose testing. Integration and analysis of qualitative and descriptive field data provide an opportunity to continuously evaluate the effectiveness of implementation. [ABSTRACT FROM PUBLISHER]
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- 2012
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50. Urinary Bisphenol A Concentrations and Implantation Failure among Women Undergoing in Vitro Fertilization.
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Ehrlich, Shelley, Williams, Paige L., Missmer, Stacey A., Flaws, Jodi A., Berry, Katharine F., Calafat, Antonia M., Ye, Xiaoyun, Petrozza, John C., Wright, Diane, and Hauser, Russ
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INFERTILITY treatment ,CHORIONIC gonadotropins ,CONFIDENCE intervals ,DOSE-response relationship in biochemistry ,EMBRYO transfer ,EPIDEMIOLOGY ,FERTILIZATION in vitro ,SYNTHETIC gums & resins ,HIGH performance liquid chromatography ,LONGITUDINAL method ,EVALUATION of medical care ,PHENOLS ,PREGNANCY ,RESEARCH funding ,LOGISTIC regression analysis ,DATA analysis ,ENVIRONMENTAL exposure ,BODY mass index ,TREATMENT effectiveness ,DESCRIPTIVE statistics - Abstract
Background: Bisphenol A (BPA) is a synthetic chemical widely used in the production of polycarbonate plastic and epoxy resins found in numerous consumer products. In experimental animals, BPA increases embryo implantation failure and reduces litter size. Objective: We evaluated the association of urinary BPA concentrations with implantation failure among women undergoing in vitro fertilization (IVF). Methods: We used online solid phase extraction-high performance liquid chromatography-isotope dilution tandem mass spectrometry to measure urinary BPA concentrations in 137 women in a prospective cohort study among women undergoing IVF at the Massachusetts General Hospital Fertility Center in Boston, Massachusetts. We used logistic regression to evaluate the association of cycle-specific urinary BPA concentrations with implantation failure, accounting for correlation among multiple IVF cycles in the same woman using generalized estimating equations. Implantation failure was defined as a negative serum β-human chorionic gonadotropin test (β-hCG < 6 IU/L) 17 days after egg retrieval. Results: Among 137 women undergoing 180 IVF cycles, urinary BPA concentrations had a geometric mean (SD) of 1.53 (2.22) µg/L. Overall, 42% (n = 75) of the IVF cycles resulted in implantation failure. In adjusted models, there was an increased odds of implantation failure with higher quartiles of urinary BPA concentrations {odds ratio (OR) 1.02 [95% confidence interval (CI): 0.35, 2.95}, 1.60 (95% CI: 0.70, 3.78), and 2.11 (95% CI: 0.84, 5.31) for quartiles 2, 3, and 4, respectively, compared with the lowest quartile (p-trend = 0.06). Conclusion: There was a positive linear dose-response association between BPA urinary concentrations and implantation failure. [ABSTRACT FROM AUTHOR]
- Published
- 2012
- Full Text
- View/download PDF
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