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1. A Conceptual Framework to Study the Implementation of Clinical Decision Support Systems (BEAR): Literature Review and Concept Mapping

Author

Camacho, Jhon, Zanoletti-Mannello, Manuela, Landis-Lewis, Zach, Kane-Gill, Sandra L, and Boyce, Richard D

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
Abstract

BackgroundThe implementation of clinical decision support systems (CDSSs) as an intervention to foster clinical practice change is affected by many factors. Key factors include those associated with behavioral change and those associated with technology acceptance. However, the literature regarding these subjects is fragmented and originates from two traditionally separate disciplines: implementation science and technology acceptance. ObjectiveOur objective is to propose an integrated framework that bridges the gap between the behavioral change and technology acceptance aspects of the implementation of CDSSs. MethodsWe employed an iterative process to map constructs from four contributing frameworks—the Theoretical Domains Framework (TDF); the Consolidated Framework for Implementation Research (CFIR); the Human, Organization, and Technology-fit framework (HOT-fit); and the Unified Theory of Acceptance and Use of Technology (UTAUT)—and the findings of 10 literature reviews, identified through a systematic review of reviews approach. ResultsThe resulting framework comprises 22 domains: agreement with the decision algorithm; attitudes; behavioral regulation; beliefs about capabilities; beliefs about consequences; contingencies; demographic characteristics; effort expectancy; emotions; environmental context and resources; goals; intentions; intervention characteristics; knowledge; memory, attention, and decision processes; patient–health professional relationship; patient’s preferences; performance expectancy; role and identity; skills, ability, and competence; social influences; and system quality. We demonstrate the use of the framework providing examples from two research projects. ConclusionsWe proposed BEAR (BEhavior and Acceptance fRamework), an integrated framework that bridges the gap between behavioral change and technology acceptance, thereby widening the view established by current models.

Published
2020
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4. Correction to: Implementing goals of care conversations with veterans in VA long-term care setting: a mixed methods protocol

Author

Sales, Anne E, Ersek, Mary, Intrator, Orna K, Levy, Cari, Carpenter, Joan G, Hogikyan, Robert, Kales, Helen C, Landis-Lewis, Zach, Olsan, Tobie, Miller, Susan C, Montagnini, Marcos, Periyakoil, Vyjeyanthi S, and Reder, Sheri

Subjects
Biomedical and Clinical Sciences, Psychology, Clinical Research, Information and Computing Sciences, Medical and Health Sciences, Health Policy & Services, Biomedical and clinical sciences
Abstract

CorrectionThe authors would like to correct errors in the original article [1] that may have lead readers to misinterpret the scope, evidence base and target population of VHA Handbook 1004.03 "Life-Sustaining Treatment (LST) Decisions: Eliciting, Documenting, and Honoring Patients' Values, Goals, and Preferences".

Published
2018

5. Evaluating implementation strategies to support documentation of veterans' care preferences

Author

Carpenter, Joan G., Scott, Winifred Josephine, Kononowech, Jennifer, Foglia, Mary Beth, Haverhals, Leah M., Hogikyan, Robert, Kolanowski, Ann, Landis-Lewis, Zach, Levy, Cari, Miller, Susan C., Periyakoil, V.J., Phibbs, Ciaran S., Potter, Lucinda, Sales, Anne, and Ersek, Mary

Subjects
United States. Department of Veterans Affairs -- Powers and duties, Veterans -- Care and treatment, Nursing homes -- Forecasts and trends, Medical care -- Methods -- Pennsylvania, Market trend/market analysis, Business, Health care industry
Abstract

Objective: To evaluate the effectiveness of feedback reports and feedback reports + external facilitation on completion of life-sustaining treatment (LST) note the template and durable medical orders. This quality improvement program supported the national roll-out of the Veterans Health Administration (VA) LST Decisions Initiative (LSTDI), which aims to ensure that seriously-ill veterans have care goals and LST decisions elicited and documented. Data Sources: Primary data from national databases for VA nursing homes (called Community Living Centers [CLCs]) from 2018 to 2020. Study Design: In one project, we distributed monthly feedback reports summarizing LST template completion rates to 12 sites as the sole implementation strategy. In the second involving five sites, we distributed similar feedback reports and provided robust external facilitation, which included coaching, education, and learning collaboratives. For each project, principal component analyses matched intervention to comparison sites, and interrupted time series/segmented regression analyses evaluated the differences in LSTDI template completion rates between intervention and comparison sites. Data Collection Methods: Data were extracted from national databases in addition to interviews and surveys in a mixed-methods process evaluation. Principal Findings: LSTDI template completion rose from 0% to about 80% throughout the study period in both projects' intervention and comparison CLCs. There were small but statistically significant differences for feedback reports alone (comparison sites performed better, coefficient estimate 3.48, standard error 0.99 for the difference between groups in change in trend) and feedback reports + external facilitation (intervention sites performed better, coefficient estimate -2.38, standard error 0.72). Conclusions: Feedback reports + external facilitation was associated with a small but statistically significant improvement in outcomes compared with comparison sites. (14) Brown University School of Public Health, Warwick, Rhode Island, USA (15) Stanford University School of Medicine, Stanford, California, USA (16) Sinclair School of Nursing, University of Missouri, Columbia, Missouri, USA (17) Leonard Davis Institute, Philadelphia, Pennsylvania, USA Correspondence Joan G. Carpenter, Organizational Systems and Adult Health, University of Maryland School of Nursing, Baltimore, MD, USA; Corporal Michael J. Crescenz VAMC, Philadelphia, PA, USA; Department of Biobehavioral Health Sciences, University of Pennsylvania School of Nursing, Philadelphia, PA, USA. Email: joan.carpenter@umaryland.edu Funding Information Quality Enhancement Research Initiative, Grant/Award Number: QUE 15-288 The large increases in completion rates are likely due to the well-planned national roll-out of the LSTDI. This finding suggests that when dissemination and support for widespread implementation are present and system-mandated, significant enhancements in the adoption of evidence-based practices may require more intensive support. KEYWORDS advance care planning, implementation science, interrupted time series analysis, nursing homes, United States Department of Veterans Affairs, Veteran What is known on this topic * Audit with feedback involves the collection and summary of clinical performance data over a specified period to monitor, evaluate, and modify clinician behavior. * Without cointerventions such as facilitation, feedback interventions have been shown to have only a modest positive impact on behavior change needed to implement evidence-based practices. * Facilitation strategies may incorporate supporting clinical champions, learning collaboratives, and coaching that allow for tailored approaches to implementation. What this study adds * The feedback intervention we deployed that included feedback and robust facilitation showed a statistically significant positive impact between intervention and comparison sites than a similar project that included feedback only. * Our findings suggest that it is important to couple feedback with facilitation strategies to achieve impact. * In-depth assessment of implementation interventions, especially feedback reports, is important to better understand their perceived usefulness to the end user., 1 | INTRODUCTION People receiving care in nursing homes are often seriously ill and frail and frequently face critical decisions about care. (1-3) Therefore, determining care preferences, particularly about life-sustaining [...]

Published
2022
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7. Implementing goals of care conversations with veterans in VA long-term care setting: a mixed methods protocol

Author

Sales, Anne E, Ersek, Mary, Intrator, Orna K, Levy, Cari, Carpenter, Joan G, Hogikyan, Robert, Kales, Helen C, Landis-Lewis, Zach, Olsan, Tobie, Miller, Susan C, Montagnini, Marcos, Periyakoil, Vyjeyanthi S, and Reder, Sheri

Subjects
Biomedical and Clinical Sciences, Psychology, Aging, Behavioral and Social Science, Clinical Research, Clinical Trials and Supportive Activities, Health Services, Health and social care services research, 8.1 Organisation and delivery of services, Good Health and Well Being, Communication, Goals, Humans, Long-Term Care, Patient Care Planning, Patient Participation, Program Evaluation, Research Design, United States, United States Department of Veterans Affairs, Veterans, Veterans Health, Long-term care, Goals of care conversations, Implementation science, Feedback interventions, Learning collaboratives, Information and Computing Sciences, Medical and Health Sciences, Health Policy & Services, Biomedical and clinical sciences
Abstract

BackgroundThe program "Implementing Goals of Care Conversations with Veterans in VA LTC Settings" is proposed in partnership with the US Veterans Health Administration (VA) National Center for Ethics in Health Care and the Geriatrics and Extended Care Program Offices, together with the VA Office of Nursing Services. The three projects in this program are designed to support a new system-wide mandate requiring providers to conduct and systematically record conversations with veterans about their preferences for care, particularly life-sustaining treatments. These treatments include cardiac resuscitation, mechanical ventilation, and other forms of life support. However, veteran preferences for care go beyond whether or not they receive life-sustaining treatments to include issues such as whether or not they want to be hospitalized if they are acutely ill, and what kinds of comfort care they would like to receive.MethodsThree projects, all focused on improving the provision of veteran-centered care, are proposed. The projects will be conducted in Community Living Centers (VA-owned nursing homes) and VA Home-Based Primary Care programs in five regional networks in the Veterans Health Administration. In all the projects, we will use data from context and barrier and facilitator assessments to design feedback reports for staff to help them understand how well they are meeting the requirement to have conversations with veterans about their preferences and to document them appropriately. We will also use learning collaboratives-meetings in which staff teams come together and problem-solve issues they encounter in how to get veterans' preferences expressed and documented, and acted on-to support action planning to improve performance.DiscussionWe will use data over time to track implementation success, measured as the proportions of veterans in Community Living Centers (CLCs) and Home-Based Primary Care (HBPC) who have a documented goals of care conversation soon after admission. We will work with our operational partners to spread approaches that work throughout the Veterans Health Administration.

Published
2016

8. Ten simple rules to make computable knowledge shareable and reusable.

Author

Conte, Marisa L., Boisvert, Peter, Barrison, Philip, Seifi, Farid, Landis-Lewis, Zach, Flynn, Allen, and Friedman, Charles P.

Subjects
RESEARCH personnel, MEDICAL care, COMPUTER software reusability, PUBLIC health research
Abstract

Computable biomedical knowledge (CBK) is: "the result of an analytic and/or deliberative process about human health, or affecting human health, that is explicit, and therefore can be represented and reasned upon using logic, formal standards, and mathematical approaches." Representing biomedical knowledge in a machine-interpretable, computable form increases its ability to be discovered, accessed, understood, and deployed. Computable knowledge artifacts can greatly advance the potential for implementation, reproducibility, or extension of the knowledge by users, who may include practitioners, researchers, and learners. Enriching computable knowledge artifacts may help facilitate reuse and translation into practice. Following the examples of 10 Simple Rules papers for scientific code, software, and applications, we present 10 Simple Rules intended to make shared computable knowledge artifacts more useful and reusable. These rules are mainly for researchers and their teams who have decided that sharing their computable knowledge is important, who wish to go beyond simply describing results, algorithms, or models via traditional publication pathways, and who want to both make their research findings more accessible, and to help others use their computable knowledge. These rules are roughly organized into 3 categories: planning, engineering, and documentation. Finally, while many of the following examples are of computable knowledge in biomedical domains, these rules are generalizable to computable knowledge in any research domain. Author summary: Computable biomedical knowledge, including algorithms, models, and evidence, is already impacting—and will likely transform—health research and healthcare delivery. Representing this knowledge in formats that can be discovered and processed by computers increases its potential for use at scale. Similarly, making these algorithms, models, etc. (aka computable knowledge artifacts) understandable and reusable by others can help facilitate reuse and translation into practice. However, as with other types of scientific software or research data, creating artifacts that are usable by and useful to others requires intentionality, and often additional time and effort. We've developed over 100 computable knowledge artifacts in diverse areas of health research and healthcare and we've learned a few things along the way. We've distilled these lessons learned into 10 Simple Rules to help researchers who would like to make their computational research products available and useful to others. Our work centers on knowledge in the biomedical domain, but we believe these 10 Simple Rules are generalizable and valuable as design principles for any researcher wishing to share computational research products. [ABSTRACT FROM AUTHOR]

Published
2024
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14. Digital objects to make computable biomedical knowledge FAIR: an infrastructural approach to knowledge representation, dissemination and implementation.

Author

Conte, Marisa, Flynn, Allen J., Barrison, Philip, Boisvert, Peter, Landis-Lewis, Zach, and Friedman, Charles

Subjects
MEDICINE, BIOINFORMATICS, METADATA, DIGITAL Object Identifiers, MACHINE learning
Abstract

We present our work to develop digital objects to represent and convey a specific category of scientific knowledge: computable biomedical knowledge (CBK). Properly developed, validated, implemented and stewarded, CBK has the potential to accelerate the translation of actionable knowledge from scientific discovery to clinical application. Our research takes an infrastructural approach to CBK, initially by focusing on the creation of a conceptual model for packaging computable biomedical knowledge - the Knowledge Object (KO) - and on corresponding efforts to create an architecture for KO management and implementation. Additionally, our work is grounded in the FAIR principles, such that KO artefacts should be findable, accessible, interoperable and reusable and we are exploring aligning KOs with emerging best practices for FAIR Digital Objects (FDO). The outcomes of this work resonate in clinical contexts, health professions education, healthcare quality improvement, biomedical and translational research and population care. Our KO model is also of interest to researchers and practitioners interested in knowledge science, including those working with semantic technologies and other forms of digital objects. [ABSTRACT FROM AUTHOR]

Published
2023
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18. Stroke Ready: a multi-level program that combines implementation science and community-based participatory research approaches to increase acute stroke treatment: protocol for a stepped wedge trial

Author

Skolarus, Lesli E., Sales, Anne E., Zimmerman, Marc A., Corches, Casey L., Landis-Lewis, Zach, Robles, Maria Cielito, McBride, A. Camille, Rehman, Narmeen, Oliver, Alina, Islam, Nishat, Springer, Mellanie V., O’Brien, Alison, Bailey, Sarah, Morgenstern, Lewis B., Meurer, William J., and Burke, James F.

Published
2019
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23. Dashboards in Health Care Settings: Protocol for a Scoping Review

Author

Helminski, Danielle, primary, Kurlander, Jacob E, additional, Renji, Anjana Deep, additional, Sussman, Jeremy B, additional, Pfeiffer, Paul N, additional, Conte, Marisa L, additional, Gadabu, Oliver J, additional, Kokaly, Alex N, additional, Goldberg, Rebecca, additional, Ranusch, Allison, additional, Damschroder, Laura J, additional, and Landis-Lewis, Zach, additional

Published
2022
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29. Improving diagnostic performance through feedback:the Diagnosis Learning Cycle

Author

Fernandez Branson, Carolina, Williams, Michelle, Chan, Teresa M., Graber, Mark L., Lane, Kathleen P., Grieser, Skip, Landis-Lewis, Zach, Cooke, James, Upadhyay, Divvy K., Mondoux, Shawn, Singh, Hardeep, Zwaan, Laura, Friedman, Charles, Olson, Andrew P.J., Fernandez Branson, Carolina, Williams, Michelle, Chan, Teresa M., Graber, Mark L., Lane, Kathleen P., Grieser, Skip, Landis-Lewis, Zach, Cooke, James, Upadhyay, Divvy K., Mondoux, Shawn, Singh, Hardeep, Zwaan, Laura, Friedman, Charles, and Olson, Andrew P.J.

Abstract

BACKGROUND: Errors in reasoning are a common cause of diagnostic error. However, it is difficult to improve performance partly because providers receive little feedback on diagnostic performance. Examining means of providing consistent feedback and enabling continuous improvement may provide novel insights for diagnostic performance. METHODS: We developed a model for improving diagnostic performance through feedback using a six-step qualitative research process, including a review of existing models from within and outside of medicine, a survey, semistructured interviews with individuals working in and outside of medicine, the development of the new model, an interdisciplinary consensus meeting, and a refinement of the model. RESULTS: We applied theory and knowledge from other fields to help us conceptualise learning and comparison and translate that knowledge into an applied diagnostic context. This helped us develop a model, the Diagnosis Learning Cycle, which illustrates the need for clinicians to be given feedback about both their confidence and reasoning in a diagnosis and to be able to seamlessly compare diagnostic hypotheses and outcomes. This information would be stored in a repository to allow accessibility. Such a process would standardise diagnostic feedback and help providers learn from their practice and improve diagnostic performance. This model adds to existing models in diagnosis by including a detailed picture of diagnostic reasoning and the elements required to improve outcomes and calibration. CONCLUSION: A consistent, standard programme of feedback that includes representations of clinicians' confidence and reasoning is a common element in non-medical fields that could be applied to medicine. Adapting this approach to diagnosis in healthcare is a promising next step. This information must be stored reliably and accessed consistently. The next steps include testing the Diagnosis Learning Cycle in clinical settings.

Published
2021

30. MOESM2 of Designing clinical practice feedback reports: three steps illustrated in Veterans Health Affairs long-term care facilities and programs

Author

Landis-Lewis, Zach, Kononowech, Jennifer, Scott, Winifred, Hogikyan, Robert, Carpenter, Joan, V. Periyakoil, Miller, Susan, Levy, Cari, Ersek, Mary, and Sales, Anne

Abstract

Additional file 2. Examples from long term care. Additional examples of the application of the method in long term care facilities and the design team roles and responsibilities.

Published
2020
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35. Designing tailored displays for clinical practice feedback: Developing requirements with user stories

Author

Panicker, Veena, Lee, Dahee, Wetmore, Marisa, Rampton, James, Smith, Roger, Moniz, Michelle, and Landis-Lewis, Zach

Subjects
Health Personnel, Humans, Female, Delivery of Health Care, Article, Software, Feedback
Abstract

Improving visualizations in clinical quality reports and dashboards may improve the visualization influence on clinical practice. Tailored displays could accommodate individual and situational differences, but these diplays introduce complex requirements across healthcare professionals and teams. We applied user stories, a method for managing complex software requirements, to a user-centered design process for tailored visual displays about postpartum contraception care. We mapped user stories to tailored displays to identify the quantity of displays that were supported by each user story. We developed 9 tailored displays and 11 user stories. Displays varied in their mappings to user stories (mean 5, max 9, min 0), revealing differences in healthcare professionals and teams preferences and information needs. User stories and user-centered design may be useful for healthcare organizations to manage complex requirements of tailored displays in clinical practice feedback.

Published
2019

36. Additional file 2: of Stroke Ready: a multi-level program that combines implementation science and community-based participatory research approaches to increase acute stroke treatment: protocol for a stepped wedge trial

Author

Skolarus, Lesli, Sales, Anne, Zimmerman, Marc, Corches, Casey, Landis-Lewis, Zach, Robles, Maria, A. McBride, Narmeen Rehman, Oliver, Alina, Nishat Islam, Springer, Mellanie, O’Brien, Alison, Bailey, Sarah, Morgenstern, Lewis, Meurer, William, and Burke, James

Abstract

Table S1. Community Intervention Process and Implementation Measures. (DOCX 49 kb)

Published
2019
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40. Proceedings of the 8th Annual Conference on the Science of Dissemination and Implementation

Author

Chambers, David, Simpson, Lisa, Hill-Briggs, Felicia, Neta, Gila, Vinson, Cynthia, Beidas, Rinad, Marcus, Steven, Aarons, Gregory, Hoagwood, Kimberly, Schoenwald, Sonja, Evans, Arthur, Hurford, Matthew, Rubin, Ronnie, Hadley, Trevor, Barg, Frances, Walsh, Lucia, Adams, Danielle, Mandell, David, Martin, Lindsey, Mignogna, Joseph, Mott, Juliette, Hundt, Natalie, Kauth, Michael, Kunik, Mark, Naik, Aanand, Cully, Jeffrey, McGuire, Alan, White, Dominique, Bartholomew, Tom, McGrew, John, Luther, Lauren, Rollins, Angie, Salyers, Michelle, Cooper, Brittany, Funaiole, Angie, Richards, Julie, Lee, Amy, Lapham, Gwen, Caldeiro, Ryan, Lozano, Paula, Gildred, Tory, Achtmeyer, Carol, Ludman, Evette, Addis, Megan, Marx, Larry, Bradley, Katharine, VanDeinse, Tonya, Wilson, Amy Blank, Stacey, Burgin, Powell, Byron, Bunger, Alicia, Cuddeback, Gary, Barnett, Miya, Stadnick, Nicole, Brookman-Frazee, Lauren, Lau, Anna, Dorsey, Shannon, Pullmann, Michael, Mitchell, Shannon, Schwartz, Robert, Kirk, Arethusa, Dusek, Kristi, Oros, Marla, Hosler, Colleen, Gryczynski, Jan, Barbosa, Carolina, Dunlap, Laura, Lounsbury, David, O’Grady, Kevin, Brown, Barry, Damschroder, Laura, Waltz, Thomas, Ritchie, Mona, Atkins, David, Imel, Zac E., Xiao, Bo, Can, Doğan, Georgiou, Panayiotis, Narayanan, Shrikanth, Berkel, Cady, Gallo, Carlos, Sandler, Irwin, Brown, C. Hendricks, Wolchik, Sharlene, Mauricio, Anne Marie, Mehrotra, Sanjay, Chandurkar, Dharmendra, Bora, Siddhartha, Das, Arup, Tripathi, Anand, Saggurti, Niranjan, Raj, Anita, Hughes, Eric, Jacobs, Brian, Kirkendall, Eric, Loeb, Danielle, Trinkley, Katy, Yang, Michael, Sprowell, Andrew, Nease, Donald, Lyon, Aaron, Lewis, Cara, Boyd, Meredith, Melvin, Abigail, Nicodimos, Semret, Liu, Freda, Jungbluth, Nathanial, Flynn, Allen, Landis-Lewis, Zach, Sales, Anne, Baloh, Jure, Ward, Marcia, Zhu, Xi, Bennett, Ian, Unutzer, Jurgen, Mao, Johnny, Proctor, Enola, Vredevoogd, Mindy, Chan, Ya-Fen, Williams, Nathaniel, Green, Phillip, Bernstein, Steven, Rosner, June-Marie, DeWitt, Michelle, Tetrault, Jeanette, Dziura, James, Hsiao, Allen, Sussman, Scott, O’Connor, Patrick, Toll, Benjamin, Jones, Michael, Gassaway, Julie, Tobin, Jonathan, Zatzick, Douglas, Bradbury, Angela R., Patrick-Miller, Linda, Egleston, Brian, Olopade, Olufunmilayo I., Hall, Michael J., Daly, Mary B., Fleisher, Linda, Grana, Generosa, Ganschow, Pamela, Fetzer, Dominique, Brandt, Amanda, Farengo-Clark, Dana, Forman, Andrea, Gaber, Rikki S., Gulden, Cassandra, Horte, Janice, Long, Jessica, Chambers, Rachelle Lorenz, Lucas, Terra, Madaan, Shreshtha, Mattie, Kristin, McKenna, Danielle, Montgomery, Susan, Nielsen, Sarah, Powers, Jacquelyn, Rainey, Kim, Rybak, Christina, Savage, Michelle, Seelaus, Christina, Stoll, Jessica, Stopfer, Jill, Yao, Shirley, Domchek, Susan, Hahn, Erin, Munoz-Plaza, Corrine, Wang, Jianjin, Delgadillo, Jazmine Garcia, Mittman, Brian, Gould, Michael, Liang, Shuting, Kegler, Michelle C., Cotter, Megan, Phillips, Emily, Hermstad, April, Morton, Rentonia, Beasley, Derrick, Martinez, Jeremy, Riehman, Kara, Gustafson, David, Marsch, Lisa, Mares, Louise, Quanbeck, Andrew, McTavish, Fiona, McDowell, Helene, Brown, Randall, Thomas, Chantelle, Glass, Joseph, Isham, Joseph, Shah, Dhavan, Liebschutz, Jane, Lasser, Karen, Watkins, Katherine, Ober, Allison, Hunter, Sarah, Lamp, Karen, Ewing, Brett, Iwelunmor, Juliet, Gyamfi, Joyce, Blackstone, Sarah, Quakyi, Nana Kofi, Plange-Rhule, Jacob, Ogedegbe, Gbenga, Kumar, Pritika, Van Devanter, Nancy, Nguyen, Nam, Nguyen, Linh, Nguyen, Trang, Phuong, Nguyet, Shelley, Donna, Rudge, Sian, Langlois, Etienne, Tricco, Andrea, Ball, Sherry, Lambert-Kerzner, Anne, Sulc, Christine, Simmons, Carol, Shell-Boyd, Jeneen, Oestreich, Taryn, O’Connor, Ashley, Neely, Emily, McCreight, Marina, Labebue, Amy, DiFiore, Doreen, Brostow, Diana, Ho, P. Michael, Aron, David, Harvey, Jillian, McHugh, Megan, Scanlon, Dennis, Lee, Rebecca, Soltero, Erica, Parker, Nathan, McNeill, Lorna, Ledoux, Tracey, McIsaac, Jessie-Lee, MacLeod, Kate, Ata, Nicole, Jarvis, Sherry, Kirk, Sara, Purtle, Jonathan, Dodson, Elizabeth, Brownson, Ross, Curran, Geoffrey, Pyne, Jeffrey, Ehrhart, Mark, Torres, Elisa, Miech, Edward, Stevens, Kathleen, Hamilton, Alison, Cohen, Deborah, Padgett, Deborah, Morshed, Alexandra, Patel, Rupa, Prusaczyk, Beth, Aron, David C., Gupta, Divya, Hand, Rosa, Abram, Jenica, Wolfram, Taylor, Hastings, Molly, Moreland-Russell, Sarah, Tabak, Rachel, Ramsey, Alex, Baumann, Ana, Kryzer, Emily, Montgomery, Katherine, Lewis, Ericka, Padek, Margaret, Mamaril, Cezar Brian, Mays, Glen, Branham, Keith, Timsina, Lava, Hogg, Rachel, Fagan, Abigail, Shapiro, Valerie, Brown, Eric, Haggerty, Kevin, Hawkins, David, Oesterle, Sabrina, Catalano, Richard, McKay, Virginia, Dolcini, M. Margaret, Hoffer, Lee, Moin, Tannaz, Li, Jinnan, Duru, O. Kenrik, Ettner, Susan, Turk, Norman, Chan, Charles, Keckhafer, Abigail, Luchs, Robert, Ho, Sam, Mangione, Carol, Selby, Peter, Zawertailo, Laurie, Minian, Nadia, Balliunas, Dolly, Dragonetti, Rosa, Hussain, Sarwar, Lecce, Julia, Chinman, Matthew, Acosta, Joie, Ebener, Patricia, Malone, Patrick S., Slaughter, Mary, Freedman, Darcy, Flocke, Susan, Lee, Eunlye, Matlack, Kristen, Trapl, Erika, Ohri-Vachaspati, Punam, Taggart, Morgan, Borawski, Elaine, Parrish, Amanda, Harris, Jeffrey, Kohn, Marlana, Hammerback, Kristen, McMillan, Becca, Hannon, Peggy, Swindle, Taren, Whiteside-Mansell, Leanne, Ward, Wendy, Holt, Cheryl, Santos, Sheri Lou, Tagai, Erin, Scheirer, Mary Ann, Carter, Roxanne, Bowie, Janice, Haider, Muhiuddin, Slade, Jimmie, Wang, Min Qi, Masica, Andrew, Ogola, Gerald, Berryman, Candice, Richter, Kathleen, Shelton, Rachel, Jandorf, Lina, Erwin, Deborah, Truong, Khoa, Javier, Joyce R., Coffey, Dean, Schrager, Sheree M., Palinkas, Lawrence, Miranda, Jeanne, Johnson, Veda, Hutcherson, Valerie, Ellis, Ruth, Kharmats, Anna, Marshall-King, Sandra, LaPradd, Monica, Fonseca-Becker, Fannie, Kepka, Deanna, Bodson, Julia, Warner, Echo, Fowler, Brynn, Shenkman, Elizabeth, Hogan, William, Odedina, Folakami, De Leon, Jessica, Hooper, Monica, Carrasquillo, Olveen, Reams, Renee, Hurt, Myra, Smith, Steven, Szapocznik, Jose, Nelson, David, Mandal, Prabir, and Teufel, James

Subjects
Medicine(all), Health Policy, Public Health, Environmental and Occupational Health, Meeting Abstracts
Abstract

Table of contents A1 Introduction to the 8th Annual Conference on the Science of Dissemination and Implementation: Optimizing Personal and Population Health David Chambers, Lisa Simpson D1 Discussion forum: Population health D&I research Felicia Hill-Briggs D2 Discussion forum: Global health D&I research Gila Neta, Cynthia Vinson D3 Discussion forum: Precision medicine and D&I research David Chambers S1 Predictors of community therapists’ use of therapy techniques in a large public mental health system Rinad Beidas, Steven Marcus, Gregory Aarons, Kimberly Hoagwood, Sonja Schoenwald, Arthur Evans, Matthew Hurford, Ronnie Rubin, Trevor Hadley, Frances Barg, Lucia Walsh, Danielle Adams, David Mandell S2 Implementing brief cognitive behavioral therapy (CBT) in primary care: Clinicians' experiences from the field Lindsey Martin, Joseph Mignogna, Juliette Mott, Natalie Hundt, Michael Kauth, Mark Kunik, Aanand Naik, Jeffrey Cully S3 Clinician competence: Natural variation, factors affecting, and effect on patient outcomes Alan McGuire, Dominique White, Tom Bartholomew, John McGrew, Lauren Luther, Angie Rollins, Michelle Salyers S4 Exploring the multifaceted nature of sustainability in community-based prevention: A mixed-method approach Brittany Cooper, Angie Funaiole S5 Theory informed behavioral health integration in primary care: Mixed methods evaluation of the implementation of routine depression and alcohol screening and assessment Julie Richards, Amy Lee, Gwen Lapham, Ryan Caldeiro, Paula Lozano, Tory Gildred, Carol Achtmeyer, Evette Ludman, Megan Addis, Larry Marx, Katharine Bradley S6 Enhancing the evidence for specialty mental health probation through a hybrid efficacy and implementation study Tonya VanDeinse, Amy Blank Wilson, Burgin Stacey, Byron Powell, Alicia Bunger, Gary Cuddeback S7 Personalizing evidence-based child mental health care within a fiscally mandated policy reform Miya Barnett, Nicole Stadnick, Lauren Brookman-Frazee, Anna Lau S8 Leveraging an existing resource for technical assistance: Community-based supervisors in public mental health Shannon Dorsey, Michael Pullmann S9 SBIRT implementation for adolescents in urban federally qualified health centers: Implementation outcomes Shannon Mitchell, Robert Schwartz, Arethusa Kirk, Kristi Dusek, Marla Oros, Colleen Hosler, Jan Gryczynski, Carolina Barbosa, Laura Dunlap, David Lounsbury, Kevin O'Grady, Barry Brown S10 PANEL: Tailoring Implementation Strategies to Context - Expert recommendations for tailoring strategies to context Laura Damschroder, Thomas Waltz, Byron Powell S11 PANEL: Tailoring Implementation Strategies to Context - Extreme facilitation: Helping challenged healthcare settings implement complex programs Mona Ritchie S12 PANEL: Tailoring Implementation Strategies to Context - Using menu-based choice tasks to obtain expert recommendations for implementing three high-priority practices in the VA Thomas Waltz S13 PANEL: The Use of Technology to Improve Efficient Monitoring of Implementation of Evidence-based Programs - Siri, rate my therapist: Using technology to automate fidelity ratings of motivational interviewing David Atkins, Zac E. Imel, Bo Xiao, Doğan Can, Panayiotis Georgiou, Shrikanth Narayanan S14 PANEL: The Use of Technology to Improve Efficient Monitoring of Implementation of Evidence-based Programs - Identifying indicators of implementation quality for computer-based ratings Cady Berkel, Carlos Gallo, Irwin Sandler, C. Hendricks Brown, Sharlene Wolchik, Anne Marie Mauricio S15 PANEL: The Use of Technology to Improve Efficient Monitoring of Implementation of Evidence-based Programs - Improving implementation of behavioral interventions by monitoring emotion in spoken speech Carlos Gallo, C. Hendricks Brown, Sanjay Mehrotra S16 Scorecards and dashboards to assure data quality of health management information system (HMIS) using R Dharmendra Chandurkar, Siddhartha Bora, Arup Das, Anand Tripathi, Niranjan Saggurti, Anita Raj S17 A big data approach for discovering and implementing patient safety insights Eric Hughes, Brian Jacobs, Eric Kirkendall S18 Improving the efficacy of a depression registry for use in a collaborative care model Danielle Loeb, Katy Trinkley, Michael Yang, Andrew Sprowell, Donald Nease S19 Measurement feedback systems as a strategy to support implementation of measurement-based care in behavioral health Aaron Lyon, Cara Lewis, Meredith Boyd, Abigail Melvin, Semret Nicodimos, Freda Liu, Nathanial Jungbluth S20 PANEL: Implementation Science and Learning Health Systems: Intersections and Commonalities - Common loop assay: Methods of supporting learning collaboratives Allen Flynn S21 PANEL: Implementation Science and Learning Health Systems: Intersections and Commonalities - Innovating audit and feedback using message tailoring models for learning health systems Zach Landis-Lewis S22 PANEL: Implementation Science and Learning Health Systems: Intersections and Commonalities - Implementation science and learning health systems: Connecting the dots Anne Sales S23 Facilitation activities of Critical Access Hospitals during TeamSTEPPS implementation Jure Baloh, Marcia Ward, Xi Zhu S24 Organizational and social context of federally qualified health centers and variation in maternal depression outcomes Ian Bennett, Jurgen Unutzer, Johnny Mao, Enola Proctor, Mindy Vredevoogd, Ya-Fen Chan, Nathaniel Williams, Phillip Green S25 Decision support to enhance treatment of hospitalized smokers: A randomized trial Steven Bernstein, June-Marie Rosner, Michelle DeWitt, Jeanette Tetrault, James Dziura, Allen Hsiao, Scott Sussman, Patrick O’Connor, Benjamin Toll S26 PANEL: Developing Sustainable Strategies for the Implementation of Patient-Centered Care across Diverse US Healthcare Systems - A patient-centered approach to successful community transition after catastrophic injury Michael Jones, Julie Gassaway S27 PANEL: Developing Sustainable Strategies for the Implementation of Patient-Centered Care across Diverse US Healthcare Systems - Conducting PCOR to integrate mental health and cancer screening services in primary care Jonathan Tobin S28 PANEL: Developing Sustainable Strategies for the Implementation of Patient-Centered Care across Diverse US Healthcare Systems - A comparative effectiveness trial of optimal patient-centered care for US trauma care systems Douglas Zatzick S29 Preferences for in-person communication among patients in a multi-center randomized study of in-person versus telephone communication of genetic test results for cancer susceptibility Angela R Bradbury, Linda Patrick-Miller, Brian Egleston, Olufunmilayo I Olopade, Michael J Hall, Mary B Daly, Linda Fleisher, Generosa Grana, Pamela Ganschow, Dominique Fetzer, Amanda Brandt, Dana Farengo-Clark, Andrea Forman, Rikki S Gaber, Cassandra Gulden, Janice Horte, Jessica Long, Rachelle Lorenz Chambers, Terra Lucas, Shreshtha Madaan, Kristin Mattie, Danielle McKenna, Susan Montgomery, Sarah Nielsen, Jacquelyn Powers, Kim Rainey, Christina Rybak, Michelle Savage, Christina Seelaus, Jessica Stoll, Jill Stopfer, Shirley Yao and Susan Domchek S30 Working towards de-implementation: A mixed methods study in breast cancer surveillance care Erin Hahn, Corrine Munoz-Plaza, Jianjin Wang, Jazmine Garcia Delgadillo, Brian Mittman Michael Gould S31Integrating evidence-based practices for increasing cancer screenings in safety-net primary care systems: A multiple case study using the consolidated framework for implementation research Shuting (Lily) Liang, Michelle C. Kegler, Megan Cotter, Emily Phillips, April Hermstad, Rentonia Morton, Derrick Beasley, Jeremy Martinez, Kara Riehman S32 Observations from implementing an mHealth intervention in an FQHC David Gustafson, Lisa Marsch, Louise Mares, Andrew Quanbeck, Fiona McTavish, Helene McDowell, Randall Brown, Chantelle Thomas, Joseph Glass, Joseph Isham, Dhavan Shah S33 A multicomponent intervention to improve primary care provider adherence to chronic opioid therapy guidelines and reduce opioid misuse: A cluster randomized controlled trial protocol Jane Liebschutz, Karen Lasser S34 Implementing collaborative care for substance use disorders in primary care: Preliminary findings from the summit study Katherine Watkins, Allison Ober, Sarah Hunter, Karen Lamp, Brett Ewing S35 Sustaining a task-shifting strategy for blood pressure control in Ghana: A stakeholder analysis Juliet Iwelunmor, Joyce Gyamfi, Sarah Blackstone, Nana Kofi Quakyi, Jacob Plange-Rhule, Gbenga Ogedegbe S36 Contextual adaptation of the consolidated framework for implementation research (CFIR) in a tobacco cessation study in Vietnam Pritika Kumar, Nancy Van Devanter, Nam Nguyen, Linh Nguyen, Trang Nguyen, Nguyet Phuong, Donna Shelley S37 Evidence check: A knowledge brokering approach to systematic reviews for policy Sian Rudge S38 Using Evidence Synthesis to Strengthen Complex Health Systems in Low- and Middle-Income Countries Etienne Langlois S39 Does it matter: timeliness or accuracy of results? The choice of rapid reviews or systematic reviews to inform decision-making Andrea Tricco S40 Evaluation of the veterans choice program using lean six sigma at a VA medical center to identify benefits and overcome obstacles Sherry Ball, Anne Lambert-Kerzner, Christine Sulc, Carol Simmons, Jeneen Shell-Boyd, Taryn Oestreich, Ashley O'Connor, Emily Neely, Marina McCreight, Amy Labebue, Doreen DiFiore, Diana Brostow, P. Michael Ho, David Aron S41 The influence of local context on multi-stakeholder alliance quality improvement activities: A multiple case study Jillian Harvey, Megan McHugh, Dennis Scanlon S42 Increasing physical activity in early care and education: Sustainability via active garden education (SAGE) Rebecca Lee, Erica Soltero, Nathan Parker, Lorna McNeill, Tracey Ledoux S43 Marking a decade of policy implementation: The successes and continuing challenges of a provincial school food and nutrition policy in Canada Jessie-Lee McIsaac, Kate MacLeod, Nicole Ata, Sherry Jarvis, Sara Kirk S44 Use of research evidence among state legislators who prioritize mental health and substance abuse issues Jonathan Purtle, Elizabeth Dodson, Ross Brownson S45 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 1 designs Brian Mittman, Geoffrey Curran S46 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 2 designs Geoffrey Curran S47 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 3 designs Jeffrey Pyne S48 Linking team level implementation leadership and implementation climate to individual level attitudes, behaviors, and implementation outcomes Gregory Aarons, Mark Ehrhart, Elisa Torres S49 Pinpointing the specific elements of local context that matter most to implementation outcomes: Findings from qualitative comparative analysis in the RE-inspire study of VA acute stroke care Edward Miech S50 The GO score: A new context-sensitive instrument to measure group organization level for providing and improving care Edward Miech S51 A research network approach for boosting implementation and improvement Kathleen Stevens, I.S.R.N. Steering Council S52 PANEL: Qualitative methods in D&I Research: Value, rigor and challenge - The value of qualitative methods in implementation research Alison Hamilton S53 PANEL: Qualitative methods in D&I Research: Value, rigor and challenge - Learning evaluation: The role of qualitative methods in dissemination and implementation research Deborah Cohen S54 PANEL: Qualitative methods in D&I Research: Value, rigor and challenge - Qualitative methods in D&I research Deborah Padgett S55 PANEL: Maps & models: The promise of network science for clinical D&I - Hospital network of sharing patients with acute and chronic diseases in California Alexandra Morshed S56 PANEL: Maps & models: The promise of network science for clinical D&I - The use of social network analysis to identify dissemination targets and enhance D&I research study recruitment for pre-exposure prophylaxis for HIV (PrEP) among men who have sex with men Rupa Patel S57 PANEL: Maps & models: The promise of network science for clinical D&I - Network and organizational factors related to the adoption of patient navigation services among rural breast cancer care providers Beth Prusaczyk S58 A theory of de-implementation based on the theory of healthcare professionals’ behavior and intention (THPBI) and the becker model of unlearning David C. Aron, Divya Gupta, Sherry Ball S59 Observation of registered dietitian nutritionist-patient encounters by dietetic interns highlights low awareness and implementation of evidence-based nutrition practice guidelines Rosa Hand, Jenica Abram, Taylor Wolfram S60 Program sustainability action planning: Building capacity for program sustainability using the program sustainability assessment tool Molly Hastings, Sarah Moreland-Russell S61 A review of D&I study designs in published study protocols Rachel Tabak, Alex Ramsey, Ana Baumann, Emily Kryzer, Katherine Montgomery, Ericka Lewis, Margaret Padek, Byron Powell, Ross Brownson S62 PANEL: Geographic variation in the implementation of public health services: Economic, organizational, and network determinants - Model simulation techniques to estimate the cost of implementing foundational public health services Cezar Brian Mamaril, Glen Mays, Keith Branham, Lava Timsina S63 PANEL: Geographic variation in the implementation of public health services: Economic, organizational, and network determinants - Inter-organizational network effects on the implementation of public health services Glen Mays, Rachel Hogg S64 PANEL: Building capacity for implementation and dissemination of the communities that care prevention system at scale to promote evidence-based practices in behavioral health - Implementation fidelity, coalition functioning, and community prevention system transformation using communities that care Abigail Fagan, Valerie Shapiro, Eric Brown S65 PANEL: Building capacity for implementation and dissemination of the communities that care prevention system at scale to promote evidence-based practices in behavioral health - Expanding capacity for implementation of communities that care at scale using a web-based, video-assisted training system Kevin Haggerty, David Hawkins S66 PANEL: Building capacity for implementation and dissemination of the communities that care prevention system at scale to promote evidence-based practices in behavioral health - Effects of communities that care on reducing youth behavioral health problems Sabrina Oesterle, David Hawkins, Richard Catalano S68 When interventions end: the dynamics of intervention de-adoption and replacement Virginia McKay, M. Margaret Dolcini, Lee Hoffer S69 Results from next-d: can a disease specific health plan reduce incident diabetes development among a national sample of working-age adults with pre-diabetes? Tannaz Moin, Jinnan Li, O. Kenrik Duru, Susan Ettner, Norman Turk, Charles Chan, Abigail Keckhafer, Robert Luchs, Sam Ho, Carol Mangione S70 Implementing smoking cessation interventions in primary care settings (STOP): using the interactive systems framework Peter Selby, Laurie Zawertailo, Nadia Minian, Dolly Balliunas, Rosa Dragonetti, Sarwar Hussain, Julia Lecce S71 Testing the Getting To Outcomes implementation support intervention in prevention-oriented, community-based settings Matthew Chinman, Joie Acosta, Patricia Ebener, Patrick S Malone, Mary Slaughter S72 Examining the reach of a multi-component farmers’ market implementation approach among low-income consumers in an urban context Darcy Freedman, Susan Flocke, Eunlye Lee, Kristen Matlack, Erika Trapl, Punam Ohri-Vachaspati, Morgan Taggart, Elaine Borawski S73 Increasing implementation of evidence-based health promotion practices at large workplaces: The CEOs Challenge Amanda Parrish, Jeffrey Harris, Marlana Kohn, Kristen Hammerback, Becca McMillan, Peggy Hannon S74 A qualitative assessment of barriers to nutrition promotion and obesity prevention in childcare Taren Swindle, Geoffrey Curran, Leanne Whiteside-Mansell, Wendy Ward S75 Documenting institutionalization of a health communication intervention in African American churches Cheryl Holt, Sheri Lou Santos, Erin Tagai, Mary Ann Scheirer, Roxanne Carter, Janice Bowie, Muhiuddin Haider, Jimmie Slade, Min Qi Wang S76 Reduction in hospital utilization by underserved patients through use of a community-medical home Andrew Masica, Gerald Ogola, Candice Berryman, Kathleen Richter S77 Sustainability of evidence-based lay health advisor programs in African American communities: A mixed methods investigation of the National Witness Project Rachel Shelton, Lina Jandorf, Deborah Erwin S78 Predicting the long-term uninsured population and analyzing their gaps in physical access to healthcare in South Carolina Khoa Truong S79 Using an evidence-based parenting intervention in churches to prevent behavioral problems among Filipino youth: A randomized pilot study Joyce R. Javier, Dean Coffey, Sheree M. Schrager, Lawrence Palinkas, Jeanne Miranda S80 Sustainability of elementary school-based health centers in three health-disparate southern communities Veda Johnson, Valerie Hutcherson, Ruth Ellis S81 Childhood obesity prevention partnership in Louisville: creative opportunities to engage families in a multifaceted approach to obesity prevention Anna Kharmats, Sandra Marshall-King, Monica LaPradd, Fannie Fonseca-Becker S82 Improvements in cervical cancer prevention found after implementation of evidence-based Latina prevention care management program Deanna Kepka, Julia Bodson, Echo Warner, Brynn Fowler S83 The OneFlorida data trust: Achieving health equity through research & training capacity building Elizabeth Shenkman, William Hogan, Folakami Odedina, Jessica De Leon, Monica Hooper, Olveen Carrasquillo, Renee Reams, Myra Hurt, Steven Smith, Jose Szapocznik, David Nelson, Prabir Mandal S84 Disseminating and sustaining medical-legal partnerships: Shared value and social return on investment James Teufel

Published
2016

41. Additional file 1: of Implementing goals of care conversations with veterans in VA long-term care setting: a mixed methods protocol

Author

Sales, Anne, Ersek, Mary, Intrator, Orna, Levy, Cari, Carpenter, Joan, Hogikyan, Robert, Kales, Helen, Landis-Lewis, Zach, Olsan, Tobie, Miller, Susan, Montagnini, Marcos, Vyjeyanthi Periyakoil, and Reder, Sheri

Abstract

Individual project descriptions for: implementing goals of care conversations with veterans in VA long-term care setting: a mixed methods protocol. (DOCX 35Â kb)

Published
2016
Full Text
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42. Additional file 3: of Implementing goals of care conversations with veterans in VA long-term care setting: a mixed methods protocol

Author

Sales, Anne, Ersek, Mary, Intrator, Orna, Levy, Cari, Carpenter, Joan, Hogikyan, Robert, Kales, Helen, Landis-Lewis, Zach, Olsan, Tobie, Miller, Susan, Montagnini, Marcos, Vyjeyanthi Periyakoil, and Reder, Sheri

Abstract

Issues to consider when QUERI-funded projects are considered quality improvement (5/15/15). (PDF 211Â kb)

Published
2016
Full Text
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43. Additional file 2: of Implementing goals of care conversations with veterans in VA long-term care setting: a mixed methods protocol

Author

Sales, Anne, Ersek, Mary, Intrator, Orna, Levy, Cari, Carpenter, Joan, Hogikyan, Robert, Kales, Helen, Landis-Lewis, Zach, Olsan, Tobie, Miller, Susan, Montagnini, Marcos, Vyjeyanthi Periyakoil, and Reder, Sheri

Abstract

Detailed implementation strategies for implementing goals of care conversations with veterans in VA LTC settings: a mixed methods protocol. (DOCX 22 kb)

Published
2016
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45. Using Touchscreen Electronic Medical Record Systems to Support and Monitor National Scale-Up of Antiretroviral Therapy in Malawi

Author

Douglas, Gerald P., primary, Gadabu, Oliver J., additional, Joukes, Sabine, additional, Mumba, Soyapi, additional, McKay, Michael V., additional, Ben-Smith, Anne, additional, Jahn, Andreas, additional, Schouten, Erik J., additional, Landis Lewis, Zach, additional, van Oosterhout, Joep J., additional, Allain, Theresa J., additional, Zachariah, Rony, additional, Berger, Selma D., additional, Harries, Anthony D., additional, and Chimbwandira, Frank, additional

Published
2010
Full Text
View/download PDF

46. Additional file 1: of Stroke Ready: a multi-level program that combines implementation science and community-based participatory research approaches to increase acute stroke treatment: protocol for a stepped wedge trial

Author

Skolarus, Lesli, Sales, Anne, Zimmerman, Marc, Corches, Casey, Landis-Lewis, Zach, Robles, Maria, A. McBride, Narmeen Rehman, Oliver, Alina, Nishat Islam, Springer, Mellanie, O’Brien, Alison, Bailey, Sarah, Morgenstern, Lewis, Meurer, William, and Burke, James

Subjects
3. Good health
Abstract

Figure S1. Stroke Ready Poster. (DOCX 674 kb)

48. Additional file 1: of Stroke Ready: a multi-level program that combines implementation science and community-based participatory research approaches to increase acute stroke treatment: protocol for a stepped wedge trial

Author

Skolarus, Lesli, Sales, Anne, Zimmerman, Marc, Corches, Casey, Landis-Lewis, Zach, Robles, Maria, A. McBride, Narmeen Rehman, Oliver, Alina, Nishat Islam, Springer, Mellanie, O’Brien, Alison, Bailey, Sarah, Morgenstern, Lewis, Meurer, William, and Burke, James

Subjects
3. Good health
Abstract

Figure S1. Stroke Ready Poster. (DOCX 674 kb)

50. Comparing a mobile decision support system versus the use of printed materials for the implementation of an evidence-based recommendation : protocol for a qualitative evaluation

Author

Pontificia Universidad Javeriana. Facultad de Medicina. Instituto de Envejecimiento, Camacho Sanchez, John Jairo, Medina Chávez, Ana María, Landis-Lewis, Zach, Douglas, Gerald, Boyce, Richard, Pontificia Universidad Javeriana. Facultad de Medicina. Instituto de Envejecimiento, Camacho Sanchez, John Jairo, Medina Chávez, Ana María, Landis-Lewis, Zach, Douglas, Gerald, and Boyce, Richard

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