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We performed a systematic survey of original papers published in The Lancet throughout the years 1945, 1946, 1970 and 1995. The Lancet was chosen due to a conservative layout through these years, and the year 1946 added to the analysis to ponder for any war-induced bias. The general layout and structure of the journal were indeed maintained throughout these years. The number of authors per paper increased steadily (from 1.7 +/- 1.3 in 1945 to 6.4 +/- 3.4 in 1995), as well as the number of papers written on behalf of investigation groups (from 1 in 1945 to 37 in 1995). Major changes were observed in the area of origin of the papers, from an overwhelming British Isles' preponderance (87% of papers published in 1945) to a partake with Continental Europe, America and international groups (27, 33, 15 and 12%, respectively of the 1995 papers). The most often addressed fields of medicine shifted from war-, surgery- and microbiology-related subjects in 1945 towards cardiology-, oncology-, and virus-related works in 1995. The most impressive and enduring change was the increase in the use of statistical tools for data analysis and presentation (0.3% of papers in 1945 vs. 60% in 1995).

Background: Aesthetics medicine, a controversial branch of clinical medicine known for its high degree of commercialization, faces numerous conflicts, particularly in some developing countries. The global aesthetics medicine industry requires enhancements of its legal and supervision framework and risk management systems. Aims: This paper aimed to provide a comprehensive visual analysis of academic achievements related to regulatory and legal issues in the field of aesthetic medicine and to identify its development trends and research hotspots. Methods: The Web of Science Core Collection was employed to retrieve relevant studies, resulting in a total of 602 research articles after selection. Utilizing bibliometric methods and CiteSpace, this study analyzed the primary countries, institutions, authors, journals, hotspots, frontiers, and trends in this domain. Results: The findings indicated rapid increases in the number of published papers. The United States emerged as the leading contributor with 131 research papers and the highest intermediate centrality. Eleven keyword clusters were identified, with "adolescence" and "office‐based surgery" being the most recent topics. We also analyzed the trends and frontiers of legal research in medical aesthetics. Conclusion: The importance of informed consent has been increasingly emphasized, and research in the field of medical aesthetics has been gradually expanding beyond individual cosmetic procedures. The management system has become more comprehensive, moreover, guidelines and medical laws have been continually published, with research shifting toward a holistic perspective that encompasses patients, medical aesthetic providers, and regulatory authorities in the study of medical aesthetics regulation and legislation. This paper also proposes some innovative directions for future research and applications. [ABSTRACT FROM AUTHOR]

To obtain data on patient demographics, clinical practices, and long-term outcomes for patients with chronic low back pain treated with implantable drug-delivery systems. The National Outcomes Registry for Low Back Pain collected data at baseline, trialing, implant (or decision not to implant), and at 6- and 12-month follow-ups. Data were collected at all time points, regardless of implant status. Numeric pain ratings and Oswestry Low Back Pain Disability scores from implanted patients were compared among baseline and 6- and 12-month follow-ups. Patients were also asked to rate their quality of life and satisfaction with the therapy. Thirty-six physicians enrolled 166 patients to be trialed for drug-delivery systems. The trialing success rate was 93% (154 patients). In all, 136 patients (82%) were implanted. In the implant group, numeric pain ratings dropped by more than 47% for back pain and more than 31% for leg pain at the 12-month follow-up. More than 65% of implanted patients reduced their Oswestry scores by at least one level at their 12-month follow-ups compared with baseline. At 12-month follow-ups, 80% of implanted patients were satisfied with their therapy and 87% said they would undergo the procedure again. Current clinical practices related to trialing of drug-delivery systems resulted in the majority of patients successfully trialed. At 12-month follow-ups, implanted patients experienced reductions in numeric back and leg pain ratings, improved Oswestry scores, and high satisfaction with the therapy. [ABSTRACT FROM AUTHOR]

Primary care physicians (PCPs) play an indispensable role in providing comprehensive care and referring patients for specialty care and other medical services. As the COVID-19 outbreak disrupts patient access to care, understanding the quality of primary care is critical at this unprecedented moment to support patients with complex medical needs in the primary care setting and inform policymakers to redesign our primary care system. The traditional way of collecting information from patient surveys is time-consuming and costly, and novel data collection and analysis methods are needed. In this review paper, we describe the existing algorithms and metrics that use the real-world data to qualify and quantify primary care, including the identification of an individual's likely PCP (identification of plurality provider and major provider), assessment of process quality (for example, appropriate-care-model composite measures), and continuity and regularity of care index (including the interval index, variance index and relative variance index), and highlight the strength and limitation of real world data from electronic health records (EHRs) and claims data in determining the quality of PCP care. The EHR audits facilitate assessing the quality of the workflow process and clinical appropriateness of primary care practices. With extensive and diverse records, administrative claims data can provide reliable information as it assesses primary care quality through coded information from different providers or networks. The use of EHRs and administrative claims data may be a cost-effective analytic strategy for evaluating the quality of primary care. [ABSTRACT FROM AUTHOR]

Background: Social determinants of health (SDOH) are the non-medical factors that impact health. Although geographical measures of deprivation are used, individual measures of social risk could identify those most at risk and generate more personalised care and targeted referrals to community resources. We know SDOH are important to health care, but it is not yet known whether their collection via the electronic health record (EHR) is acceptable and useful from the patient perspective. Aim: To synthesise relevant literature to explore patient perspectives on integrating information about SDOH into primary care EHRs, and the opportunities and challenges of its implementation in a general practice setting. Design & setting: Systematic review of primary care-based qualitative and mixed-method studies using thematic framework analysis. Method: Key databases were searched for articles reporting patient perspectives of SDOH collection within the primary care EHR. Qualitative and mixed-methods studies written in English were included. A framework analysis was conducted to identify themes. Results: From 14 included studies, the following five main themes were identified: rationale for SDOH screening and the anticipated outcomes; impact of the provider-patient relationship on patient perceptions; data, which included privacy concerns; screening process and referral; and recommendations for future research. Conclusion: Integration of information on SDOH into the EHR appears acceptable to patients. This review has added to the discussion of whether and how to implement SDOH screening and referral programmes into UK primary care systems. [ABSTRACT FROM AUTHOR]

To find the trend and hot points of deafness gene research in the nearly 10 years, a bibliometric analysis of literature in the fields from Web of Science was performed. Python 3.7, Gephi 0.9.2, and SPSS 22.0 were used for cleaning, restructuring, and analysis. A total of 2828 article documents were collected, which were from 651 Science Citation Index Expanded journals, 93 countries/regions, 18 199 authors, and 3148 organizations. PLoS One published more papers than other journals. Among the journals that published more than 30 papers, 10 journals were included in the genetics & heredity class. The top country/region with highest number of papers was United States. However, the top author and top affiliation was Dai Pu (China) and People's Liberate Army General Hospital (China), respectively. The results of co-occurrence network, hierarchical clustering, and multidimensional scale analysis of keywords showed that 2 groups were classified. The 2 groups focused on the gene mutation of deafness and the research objects, methods, factors, and gene locus, respectively. Multidimensional scale analysis told the research character and some research details. The gene mutation and variant of family and population diseases were the hot points. [ABSTRACT FROM AUTHOR]

This special issue of Social Studies of Science centers on the topic of regulation in medicine and, in particular, on the notion of regulatory objectivity, defined as a new form of objectivity in biomedicine that generates conventions and norms through concerted programs of action based on the use of a variety of systems for the collective production of evidence. The papers in the special issue suggest ways in which the notion of regulatory objectivity can be tested, extended, revised, or superseded by more appropriate notions. They insist on the need to examine more closely clinical-therapeutic (and not just clinical-research) activities, and to pay more attention to the activities of regulatory agencies such as the US Food and Drug Administration and to standard-setting organizations. They call attention to the professional and organizational activities surrounding the mobilization of conventions for regulating clinical practices. Finally, they provide material that can help us to think about how analytical notions such as regulatory objectivity may or may not inform interventionist research projects. [ABSTRACT FROM AUTHOR]

This paper examines the effects of conversions between For-Profit and Not-For-Profit forms on quality of medical care in California hospitals. The sample includes elderly patients treated in California's private hospitals from 1990 to 1998 for Acute Myocardial Infarction and Congestive Heart Failure. The results suggest that converted hospitals have experienced quality changes before conversion and that ignoring these changes may bias the estimates of conversion effects. Both conversions are found to have some adverse consequences: Hospitals that converted to FP form show an increase in AMI mortality rates, while those converted to NFP status indicate an increase in CHF mortality outcomes. [ABSTRACT FROM AUTHOR]

Objective: Lung cancer is the most common type of cancer around the world, and it represents the main cause of death in the USA. Surgical treatment is the optimal therapeutic strategy for resectable non-small cell lung cancer. The principal factor for long-term survival after complete resection is the anatomic extension of the neoplasm. However, other factors also have adverse effects on operative mortality, and influence long-term outcome. In this paper we propose an algorithmic solution for the estimation of 5-years survival rate in lung cancer patients undertaking pulmonary resection. Materials and methods: We address the issue of survival analysis through decision-making techniques based on fuzzy and soft set theories. We develop an expert system based on clinical and functional data of lung cancer resections in patients with cancer that can be used to predict the survival of patients. Results: The evaluation of surgical risk in patients undertaking pulmonary resection is a primary target for thoracic surgeons. Lung cancer survival is influenced by many factors. The computational performance of our algorithm is critically analyzed by an experimental study. The correct survival classification is achieved with an accuracy of 79.0%. Our novel soft-set based criterion is an effective and precise diagnosis application for the determination of the survival rate. [ABSTRACT FROM AUTHOR]

Background: Clinical judgment is declining in new graduate nurses, which affects patient safety and is therefore tested on the Next Generation NCLEX. There is limited research describing barriers and facilitators impacting nursing faculty's experiences teaching clinical judgment. Aims: The purpose of this study was to explore barriers and facilitators affecting undergraduate nursing faculty's clinical judgment teaching methods. Methods: Sixteen qualitative interviews were conducted with full-time nursing faculty at seven universities in the Northeast and Southeast regions of the United States. Results: The findings revealed program, student, and faculty factors affecting clinical judgment teaching methods. Subthemes included time, class size, students' class preparation, critical thinking, task orientation, professional development, and faculty resistance. Conclusion: Minimizing barriers and strengthening facilitators based on participants' practices and previous research can support more effective clinical judgment pedagogy, which has the potential to achieve Next Generation NCLEX success and potentially increase patient safety. [ABSTRACT FROM AUTHOR]

Racial-ethnic minorities receive lower quality and intensity of health care compared with whites across a wide range of preventive, diagnostic, and therapeutic services and disease entities. These disparities in health care contribute to continuing racial-ethnic disparities in the burden of illness and death. Several national medical organizations and the Institute of Medicine have issued position papers and recommendations for the elimination of health care disparities. However, physicians in practice are often at a loss for how to translate these principles and recommendations into specific interventions in their own clinical practices. This paper serves as a blueprint for translating principles for the elimination of racial-ethnic disparities in health care into specific actions that are relevant for individual clinical practices. We describe what is known about reducing racial-ethnic disparities in clinical practice and make recommendations for how clinician leaders can apply this evidence to transform their own practices. [ABSTRACT FROM AUTHOR]

Digital health technologies (DHTs) can transform neurological assessments, improving quality and continuity of care. In the United States, the Food & Drug Administration (FDA) oversees the safety and efficacy of these technologies, employing a detailed regulatory process that classifies devices based on risk and requires rigorous review and post-market surveillance. Following FDA approval, DHTs enter the Current Procedural Terminology, Relative Value Scale Update Committee, and Centers for Medicare & Medicaid Services coding and valuation processes leading to coverage and payment decisions. DHT adoption is challenged by rapid technologic advancements, an inconsistent evidence base, marketing discrepancies, ambiguous coding guidance, and variable health insurance coverage. Regulators, policymakers, and payers will need to develop better methods to evaluate these promising technologies and guide their deployment. This includes striking a balance between patient safety and clinical effectiveness versus promotion of innovation, especially as DHTs increasingly incorporate artificial intelligence. Data validity, cybersecurity, risk management, societal, and ethical responsibilities should be addressed. Regulatory advances can support adoption of these promising tools by ensuring DHTs are safe, effective, accessible, and equitable. [ABSTRACT FROM AUTHOR]

Background: The scale and scope of medical tourism have expanded rapidly over the last few decades. Turkey is becoming an important player in this market because of its relatively better service quality and large comparative cost advantage.Methods: This paper compares cost, quality and effectiveness of in-vitro fertilization (IVF) in the USA and in Turkey. The data from Turkey were obtained from a hospital specializing in IVF services and the US data came from secondary sources. Package price offered by the dominant IVF-service provider to international patients in Turkey was used as a measure of cost for Turkey while IVF-specific service prices were used to estimate the cost for USA. To compare quality and effectiveness of IVF services, a number of general clinical quality indicators and IVF success rate were used.Results: Indicators of quality, cost and success rate in the Turkish hospital were found to be better than the corresponding indicators in US hospitals. The cost difference of IVF services between USA and Turkey is so significant that the overall cost of obtaining the service from Turkey remains lower even with additional expenses for travel and accommodation.Conclusions: Cost-effectiveness ratio of IVF treatment per successful clinical pregnancy was much lower in Turkey than in the USA. It appears that cost and quality are the two most important factors affecting demand for health care services by international patients in Turkey. Like other important players in the medical tourism market, Turkey should be able to take advantage of its success in IVF, a highly specialized niche market, to transform its health system into an important exporter of general health services. [ABSTRACT FROM AUTHOR]

Background: Public health surveillance has traditionally relied on manual processes including paper-based reporting by clinicians. The introduction of electronic laboratory reporting increased the efficiency and completeness of infectious disease surveillance but clinical and risk factor data are often still collected manually. The use of electronic health records (EHR) has significant promise to enrich surveillance by collecting these data automatically and by expanding surveillance to chronic diseases (e.g., diabetes, hypertension, obesity). However, the extent of the use of EHRs for public surveillance is not well studied. Evidence Acquisition: The peer-reviewed medical literature was searched for descriptions of the use of EHRs for public health surveillance. Evidence Synthesis: This literature is very limited. The largest body of work describes the experience of the Electronic Medical Record Support for Public Health system (ESPnet) currently being used in Massachusetts, Ohio, and Texas. It shows both the potential and challenges of using EHRs for surveillance. Discussion: Routine incorporation of EHR data into surveillance provides a unique opportunity to expand the breadth, quality, and efficiency of surveillance efforts. However, more research is needed to document the potential benefits and limitations of EHRs. Implications: Surveillance practitioners should work with health systems and EHR vendors to explore the use of EHRs. Policymakers should increase financial support for EHR-based surveillance by building requirements into Meaningful Use and other initiatives. In addition, clinical medicine and public health should work together to develop meaningful surveillance measures that can simultaneously improve the care of individuals and populations. [ABSTRACT FROM AUTHOR]

This paper provides an overview of the rapidly evolving paradigm of "Integrative Mental Health (IMH)." The paradigm of contemporary biomedical psychiatry and its contrast to non-allopathic systems of medicine is initially reviewed, followed by an exploration of the emerging paradigm of IMH, which aims to reconcile the bio-psycho-socio-spiritual model with evidence-based methods from traditional healing practices. IMH is rapidly transforming conventional understandings of mental illness and has significant positive implications for the day-to-day practice of mental health care. IMH incorporates mainstream interventions such as pharmacologic treatments, psychotherapy, and psychosocial interventions, as well as alternative therapies such as acupuncture, herbal and nutritional medicine, dietary modification, meditation, etc. Two recent international conferences in Europe and the United States show that interest in integrative mental health care is growing rapidly. In response, the International Network of Integrative Mental Health (INIMH: www.INIMH.org) was established in 2010 with the objective of creating an international network of clinicians, researchers, and public health advocates to advance a global agenda for research, education, and clinical practice of evidence-based integrative mental health care. The paper concludes with a discussion of emerging opportunities for research in IMH, and an exploration of potential clinical applications of integrative mental health care., (Copyright © 2012 Elsevier Inc. All rights reserved.)

Background: Medical educators seek innovative ways to engage learners efficiently and effectively. Gamification has been explored as one way to accomplish this feat; however, questions remain about which contexts gamification would be most useful. Time constraints and student interest present major barriers for teaching laboratory medicine to students. This study aims to compare two versions of an interactive online module, one gamified and one not, for teaching laboratory medicine concepts to pre-clinical medical students. Methods: First-year medical students reviewed either a gamified or non-gamified version of an interactive online module in preparation for an in-person flipped classroom session on Laboratory Medicine. Learning theory guided the design of the modules and both contained identical content, objectives, and structure. The "gamified" module included the additional elements of personalization, progress meters, points, badges, and story/role play. After reviewing the module, students completed an anonymous knowledge check and optional survey. Results: One hundred seventy-one students completed the post module knowledge check as assigned (82 gamified, 89 non-gamified). Knowledge check scores were higher for the students who reviewed the gamified module (p < 0.02), corresponding to an effect size of 0.4 for the gamified module. Eighty-one students completed optional post-module surveys (46 gamified, 35 non-gamified). Instructional efficiency was calculated using task difficulty questions and knowledge check scores, and the resulting instructional efficiency was higher for the gamified module. There was no significant difference in the student-reported time required to complete the modules. Additionally, both versions of the module were well received and led to positive ratings related to motivation and confidence. Finally, examination of open-ended survey results suggested that the addition of game elements added value to the gamified module and enhanced engagement and enjoyment. Conclusions: In this setting, the addition of gamification to an interactive online module enhanced learning outcome, instructional efficiency, student engagement and enjoyment. These results should inspire further exploration of gamification for teaching Laboratory Medicine concepts to pre-clinical medical students. [ABSTRACT FROM AUTHOR]

Background: The widespread availability of new computational methods and tools for data analysis and predictive modeling requires medical informatics researchers and practitioners to systematically select the most appropriate strategy to cope with clinical prediction problems. In particular, the collection of methods known as 'data mining' offers methodological and technical solutions to deal with the analysis of medical data and construction of prediction models. A large variety of these methods requires general and simple guidelines that may help practitioners in the appropriate selection of data mining tools, construction and validation of predictive models, along with the dissemination of predictive models within clinical environments., Purpose: The goal of this review is to discuss the extent and role of the research area of predictive data mining and to propose a framework to cope with the problems of constructing, assessing and exploiting data mining models in clinical medicine., Methods: We review the recent relevant work published in the area of predictive data mining in clinical medicine, highlighting critical issues and summarizing the approaches in a set of learned lessons., Results: The paper provides a comprehensive review of the state of the art of predictive data mining in clinical medicine and gives guidelines to carry out data mining studies in this field., Conclusions: Predictive data mining is becoming an essential instrument for researchers and clinical practitioners in medicine. Understanding the main issues underlying these methods and the application of agreed and standardized procedures is mandatory for their deployment and the dissemination of results. Thanks to the integration of molecular and clinical data taking place within genomic medicine, the area has recently not only gained a fresh impulse but also a new set of complex problems it needs to address.

The ongoing water crises in Detroit and Flint, Michigan, offer dramatic cases of retrogression in realizing the human right to water--particularly striking in a region that enjoys access to one-fifth of the world's freshwater and a country that has historically enjoyed near-universal access to water and sanitation. Efforts to secure safe, sufficient, affordable, acceptable, and accessible water in these cities reveal a troubling inability to protect the human right to water through legal measures. Compounding the challenge is the lack of reliable government data on the scope and impacts of the water crises--a void that residents have organized to fill. Activists have engaged a number of citizen-led research projects to demonstrate the health impacts of unsafe and unaffordable water. This paper discusses the process and potential of such projects to advance the substance of the human right to water in the United States, considering their effects within and outside the law. These research efforts have significant methodological and legal constraints with respect to widespread water insecurity, exposing a serious vulnerability in communities' ability to protect drinking water and public health in the United States through legal means. However, drawing on Amartya Sen's theory of human rights, I elaborate the extra-juridical powers of human rights, emphasizing their power to galvanize action and articulate ethical demands. Citizen science is a powerful mode of engaging residents in the articulation--and quantification--of those human rights demands, as I demonstrate with local cases. [ABSTRACT FROM AUTHOR]

The article discusses the highlights of an International Association of Gerontology and Geriatrics (IAGG) workshop on nursing homes. One of the paper presented in the workshop focused on the state of nursing homes within long-term care in Catalonia, Spain. The event also addressed the challenges posed by the increasing elderly population in China, as well as the occupancy rate in Chinese nursing homes. Another topic addressed in the workshop was chronic pain in long-term care facilities.

Electronic health records (EHRs) have emerged as a major topic in health care and are central to the federal government's strategy for transforming healthcare delivery in the United States. Recent federal actions that aim to promote the use of EHRs promise to have significant implications for laboratories and for pathology practices. Under the HITECH (Health Information Technology Economic and Clinical Health) Act, an EHR incentive program has been established through which individual physicians and hospitals can qualify to receive incentive payments if they achieve "meaningful use" of "certified" EHR technology. The rule also establishes payment penalties in future years for eligible providers who have not met the requirements for meaningful use of EHRs. Meaningful use must be achieved using EHR technology that has been certified in accordance with functional and technical criteria that are set forth a regulation that parallels the meaningful use criteria in the incentive program. These actions and regulations are important to laboratories and pathologists for a number of reasons. Several of the criteria and requirements in the meaningful use rules and EHR certification criteria relate directly or indirectly to laboratory testing and laboratory information management, and future stage requirements are expected to impact the laboratory as well. Furthermore, as EHR uptake expands, there will be greater expectations for electronic interchange of laboratory information and laboratory information system (LIS)-EHR interfaces. Laboratories will need to be aware of the technical, operational, and business challenges that they may face as expectations for LIS-EHR increase. This paper reviews the important recent federal efforts aimed at accelerating EHR use, including the incentive program for EHR meaningful use, provider eligibility, and EHR certification criteria, from a perspective of their relevance for laboratories and pathology practices. [ABSTRACT FROM AUTHOR]

Background: Accurate prognosis is vital to the initiation of advance care planning particularly in a vulnerable, at risk population such as care home residents. The aim of this paper is to report on the revision and simplification of the MDS Mortality Rating Index (MMRI) for use in clinical practice to predict the probability of death in six months for care home residents. Methods: The design was a secondary analysis of a US Minimum Data Set (MDS) for long term care residents using regression analysis to identify predictors of mortality within six months. Results: Using twelve easy to collect items, the probability of mortality within six months was accurately predicted within the MDS database. The items are: admission to the care home within three months; lost weight unintentionally in past three months; renal failure; chronic heart failure; poor appetite; male; dehydrated; short of breath; active cancer diagnosis; age; deteriorated cognitive skills in past three months; activities of daily living score. Conclusion: A lack of recognition of the proximity of death is often blamed for inappropriate admission to hospital at the end of an older person's life. An accurate prognosis for older adults living in a residential or nursing home can facilitate end of life decision making and planning for preferred place of care at the end of life. The original MMRI was derived and validated from a large database of long term care residents in the USA. However, this simplification of the revised index (MMRI-R) may provide a means for facilitating prognostication and end of life discussions for application outside the USA where the MDS is not in use. Prospective testing is needed to further test the accuracy of the MMRI-R and its application in the UK and other non-MDS settings. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to summarize the best evidence regarding the impact of providing patient-reported outcomes (PRO) information to health care professionals in daily clinical practice. Systematic review of randomized clinical trials (Medline, Cochrane Library; reference lists of previous systematic reviews; and requests to authors and experts in the field). Out of 1,861 identified references published between 1978 and 2007, 34 articles corresponding to 28 original studies proved eligible. Most trials (19) were conducted in primary care settings performed in the USA (21) and assessed adult patients (25). Information provided to professionals included generic health status (10), mental health (14), and other (6). Most studies suffered from methodologic limitations, including analysis that did not correspond with the unit of allocation. In most trials, the impact of PRO was limited. Fifteen of 23 studies (65%) measuring process of care observed at least one significant result favoring the intervention, as did eight of 17 (47%) that measured outcomes of care. Methodological concerns limit the strength of inference regarding the impact of providing PRO information to clinicians. Results suggest great heterogeneity of impact; contexts and interventions that will yield important benefits remain to be clearly defined. [ABSTRACT FROM AUTHOR]

Objective: To examine the generalizability of two National Institutes of Health (NIH)-funded double-blind randomized placebo-controlled clinical trials in patients with chronic Lyme disease and to determine whether selection factors resulted in the unfavorable outcomes. Design: Epidemiologic review of the generalizability of two trials conducted by Klempner et al. This paper considers whether the study group was representative of the general chronic Lyme disease population. Results: In their article in The New England Journal of Medicine, Klempner et al. failed to discuss the limitations of their clinical trials. This epidemiologic review argues that their results are not generalizable to the overall Lyme disease population. The treatment failure reported by the authors may be the result of enrolling patients who remained ill after an average of 4.7 years and an average of 3 previous courses of treatment. The poor outcome cited in these trials may be explained by having selected patients who had undergone delayed treatment or multiple treatments unsuccessfully. These selection factors were not addressed by the studies' authors, nor have they been discussed by reviewers. The trials have been over-interpreted by the NIH and widely publicized in a press release. The results have been extrapolated to other groups of Lyme disease patients by commentators, by a case discussant in an influential medical journal, and by health insurance companies to deny antibiotic treatment. Conclusion: The Klempner et al. trials are assumed to be internally valid based on a Randomized Control Trial (RCT) design. However, this review argues that the trials have limited generalizability beyond the select group of patients with characteristics like those in the trial. Applying the findings to target populations with characteristics that differ from those included in these trials is inappropriate and may limit options for chronic Lyme disease patients who might benefit from antibiotic treatment. [ABSTRACT FROM AUTHOR]

Over the past decade, different parties in the health care field have developed and disseminated clinical practice guidelines as part of evidence-based medicine. These formal tools based on a scientific evaluation of the research literature purport to tell health care professionals how to practice medicine. Because clinical practice guidelines shift the knowledge base in the health care field through standardization, they remain con troversial within and outside medicine. In this paper, we evaluate the predictive accuracy of four medical professionalization theories-functionalism, Freidson's theory of professional dominance, deprofessionalization theory, and the theory of countervailing powers- to account for (1) the shift from pathophysiology to epidemiology with guidelines, (2) the creation of practice guidelines, and (3) the effects of clinical practice guidelines on the autonomy of health professionals. In light of the mixed predictive record of professionalization theories, we conclude with a need for "evidence-based sociology" and a recalibration of basic premises underlying professionalization theories. [ABSTRACT FROM AUTHOR]

While great strides have been made recently in improving end-of-life care in the United States, people with dementia often die with inadequate pain control, with feeding tubes in place, and without the benefits of hospice care. In this paper, we discuss the most important and persistent challenges to providing excellent end-of-life care for patients with dementia, including dementia not being viewed as a terminal illness; the nature of the course and treatment decisions in advanced dementia; assessment and management of symptoms; the caregiver experience and bereavement; and health systems issues. We suggest approaches for overcoming these barriers in the domains of education, clinical practice, and public policy. As the population ages, general internists increasingly will be called upon to provide primary care for a growing number of patients dying with dementia. There are great opportunities to improve end-of-life care for this vulnerable and underserved population. [ABSTRACT FROM AUTHOR]

Introduction: Candida albicans is an opportunistic human pathogen that typically resides as part of the microbiome in the gastrointestinal and genitourinary tracts of a large portion of the human population. This fungus lacks a true sexual cycle and evolves in a largely clonal pattern. The ability to cause disease is consistent across the species as strains causing systemic infections appear across the known C. albicans intra-species clades. Methods: In this work, strains collected from patients with systemic C. albicans infections isolated at the Nebraska Medicine clinical laboratory were typed by MLST analysis. Since the ability to form filaments has been linked to pathogenesis in C. albicans, these clinical strains, as well as a previously genotyped set of clinical strains, were tested for their ability to filament across a variety of inducing conditions. Results: Genotyping of the clinical strains demonstrated that the strains isolated at one of the major medical centers in our region were as diverse as strains collected across the United States. We demonstrated that clinical strains exhibit a variety of filamentation patterns across differing inducing conditions. The only consistent pattern observed in the entire set of clinical strains tested was an almost universal inability to filament in standard solid inducing conditions used throughout the C. albicans field. A different solid filamentation assay that produces more robust filamentation profiles from clinical strains is proposed in this study, although not all strains expected to filament in vivo were filamentous in this assay. Discussion: Our data supports growing evidence that broad phenotypic diversity exists between the C. albicans type strain and clinical strains, suggesting that the type strain poorly represents filamentation patterns observed in most clinical isolates. These data further highlight the need to use diverse clinical strains in pathogenesis assays. [ABSTRACT FROM AUTHOR]

Racial disparities in hospice care are well documented for patients with cancer, but the existence, direction, and extent of disparity findings are contradictory across the literature. Current methods to identify racial disparities aggregate data to produce single-value quality measures that exclude important patient quality elements and, consequently, lack information to identify actionable equity improvement insights. Our goal was to develop an explainable machine learning approach that elucidates healthcare disparities and provides more actionable quality improvement information. We infused clinical information with engineering systems modeling and data science to develop a time-by-utilization profile per patient group at each hospital using US Medicare hospice utilization data for a cohort of patients with advanced (poor-prognosis) cancer that died April-December 2016. We calculated the difference between group profiles for people of color and white people to identify racial disparity signatures. Using machine learning, we clustered racial disparity signatures across hospitals and compared these clusters to classic quality measures and hospital characteristics. With 45,125 patients across 362 hospitals, we identified 7 clusters; 4 clusters (n = 190 hospitals) showed more hospice utilization by people of color than white people, 2 clusters (n = 106) showed more hospice utilization by white people than people of color, and 1 cluster (n = 66) showed no difference. Within-hospital racial disparity behaviors cannot be predicted from quality measures, showing how the true shape of disparities can be distorted through the lens of quality measures. This approach elucidates the shape of hospice racial disparities algorithmically from the same data used to calculate quality measures. [ABSTRACT FROM AUTHOR]

The perspectives of the Compounded Drug Preparation Information Exchange Expert Panel of the United States Pharmacopeia (CDPIE-EP) on the urgent need to create and maintain data standards to support the electronic transmission of an interoperable dataset for compounded nonsterile preparations (CNSPs) for children and the elderly is presented. The CDPIE-EP encourages all stakeholders associated with the generation, transmission, and preparation of CNSPs, including standards-setting and informatics organizations, to discern the critical importance of accurate transmission of prescription to dispensing the final product and an urgent need to create and adopt a seamless, transparent, interoperable, digitally integrated prescribing and dispensing system benefiting of all patients that need CNSPs, especially for children with special healthcare needs and medical complexity (CSHCN-CMC) and for adults with swallowing difficulties. Lay summary: Current electronic prescription processing standards do not permit the complete transmission of compounded nonsterile preparations (CNSPs) from a prescriber to dispenser. This lack creates multiple opportunities for medication errors, especially at transitions of care for children with medical complexity and adults that cannot swallow tablets and capsules. The United States Pharmacopeia Expert Panel on Compounded Drug Preparation Information Exchange aims to reduce this source of error by creating ways and means for CNSPs to be transmitted within computer systems across the continuum of care. Twitter: Digitizing compounded preparation monographs and NDC-like formulation identifiers in computerized prescription systems will minimize error. [ABSTRACT FROM AUTHOR]

Objectives: Burnout occurs frequently in emergency medicine (EM) residents and has been shown to have a negative impact on patient care. The specific effects of burnout on patient care are less well understood. This study qualitatively explores how burnout may change the way EM residents provide patient care. Methods: Qualitative data were obtained from a sample of 29 EM residents in four semistructured focus groups across four institutions in the United States in early 2019. Transcripts were coded and organized into major patient care themes. Results: Residents described many ways in which feelings of burnout negatively impacted patient care. These detrimental effects most often fit into one of four main themes: reduced motivation to care for patients, poor communication with patients, difficult interactions with health care colleagues, and impaired decision making. Conclusions: According to EM residents, burnout negatively impacts several important aspects of patient care. Resident engagement with clinical care, communication with patients and colleagues, and clinical care may suffer as a result of burnout. [ABSTRACT FROM AUTHOR]

Prognosis of Alzheimer's disease (AD) progression has been recognized as a challenging problem due to the massive numbers of cognitive, and pathological features recorded for patients and controls. While there have been many studies investigated the diagnosis of dementia using pathological characteristics, predicting the advancement of the disease using cognitive elements has not been heavily studied particularly using technologies like artificial intelligence and machine learning. This research aims at evaluating items of the Alzheimer's Disease Assessment Scale-Cognitive 13 (ADAS-Cog-13) test to determine key cognitive items that influence the progression of AD. A methodology that consists of machine learning and feature selection (FS) techniques was designed, implemented, and then tested against real data observations (cases and controls) of the Alzheimer's Disease Neuroimaging Initiative (ADNI) repository with a narrow scope on cognitive items of the ADAS-Cog-13 test. Results obtained by ten-fold cross validation and using dissimilar classification and FS techniques revealed that the decision tree algorithm produced classification models with the best performing results from the cognitive items. For ADAS-Cog-13 test, memory and learning features including word recall, delayed word recall and word recognition were the key items pinpointing to AD advancement. When these three cognitive items are processed excluding demographics by C4.5 algorithm the models derived showed 82.90% accuracy, 87.60% sensitivity and 78.20% specificity. [ABSTRACT FROM AUTHOR]

Introduction: Points of entry (POE) in Pakistan serve as key conduits for international travel, transport, and trade. Central Health Establishment (CHE) is a key stakeholder in the implementation of the International Health Regulations 2005 (IHR) core capacities at POE and National Action Plan 2020 against COVID-19. A comprehensive screening plan for COVID-19 was carried out effectively despite limitations. Methods: A descriptive study on CDC guidelines for health screening at POE was conducted from February 2020 to March 2021. Guidelines are based on 11 attributes to be implemented; these include legal and regulatory bodies to detain the travelers as suspect, isolate, and coordinate at POEs, funds for screening, well-equipped quarantine facilities, referral health care facilities, protocols for primary and secondary screening, capacity building, supply of personal protective equipment and screening tools, and provision of basic facilities at isolation areas. Data were collected using both qualitative and quantitative methods from health officers and quarantine assistants of PoEs. The analysis of CHE's information system was performed to assess the management of traveler surveillance. Results: Eleven attributes were addressed for health screening according to CDC guidelines and well implemented at POE by CHE under the flagship of the MNHR&C. Primary health screening of 4,088,119 inbound travelers was conducted. Secondary health screening led to the referral of performed at airports for inbound travelers, with a positivity rate of 0.32. Conclusion: Preparedness and response for COVID-19 at POE are in line with the National Action Plan of the Government of Pakistan and IHR (2005). [ABSTRACT FROM AUTHOR]

Rhinosinusitis (RS) affects approximately 1 in 7 adults In the United States, and its effect on quality of life, productivity, and finances is substantial. During the past 10 years, several expert panels from authoritative bodies have published evidence-based guidelines for the diagnosis and management of RS and its sub-types, including acute viral RS, acute bacterial RS, chronic RS (CRS) without nasal polyposis, CRS with nasal polyposis, and al- lergic fungal RS. This review examines and compares the recommendations of the Rhinosinusitis Initiative, the Joint Task Force on Practice Parameters, the Clinical Practice Guideline: Adult Sinusitis, the European Position Paper on Rhinosinusltis and Nasal Polyps 2007, and the British Society for Allergy and Clinical Immunology. Points of consensus and divergent opinions expressed in these guidelines regarding classification, diagnosis, and management of adults with acute RS (ARS) and CRS and their various subtypes are highlighted for the practicing clinician. Key points of agreement regarding therapy in the guidelines for ARS Include the efficacy of symptomatic treatment, such as intranasal corticosteroids, and the importance of reducing the unnecessary use of antibiotics In ARS; however, guidelines do not agree precisely regarding when antibiotics should be considered as a reasonable treatment strategy. Although the guidelines diverge markedly on the management of CRS, the diagnostic utility of nasal airway examination is acknowledged by all, Important and relevant data from MEDLINE-indexed articles published since the most recent guidelines were Issued are also considered, and needs for future research are discussed. [ABSTRACT FROM AUTHOR]

An EMR system implementation would significantly reduce clinician workload and medical errors while saving the US healthcare system major expense. Yet, compared to other developed nations, the US lags behind. This article examines EMR system efforts, benefits, and barriers, as well as steps needed to move the US closer to a nationwide EMR system. The analysis includes a blueprint for implementation of EMR, industry comparisons to highlight the differences between successful and non-successful EMR ventures, references to costs and benefit information, and identification of root causes. ‘Poka-yokes’ (avoid (yokeru) mistakes (poka)) will be inserted to provide insight into how to systematically overcome challenges. Implementation will require upfront costs including patient privacy that must be addressed early in the development process. Government structure, incentives and mandates are required for nationwide EMR system in the US. [ABSTRACT FROM PUBLISHER]

Background: Intense interest surrounds the recent expansion of US National Institutes of Health (NIH) budgets as part of economic stimulus legislation. However, the relationship between NIH funding and cardiovascular disease research is poorly understood, making the likely impact of this policy change unclear. Methods: The National Library of Medicine's PubMed database was searched for articles published from 1996 to 2006, originating from U.S. institutions, and containing the phrases ''cardiolog,'' ''cardiovascular,'' or ''cardiac,'' in the first author's department. Research methodology, journal of publication, journal impact factor, and receipt of NIH funding were recorded. Differences in means and trends were tested with t-tests and linear regression, respectively, with P≤0.05 for significance. Results: Of 117,643 world cardiovascular articles, 36,684 (31.2%) originated from the U.S., of which 10,293 (28.1%) received NIH funding. The NIH funded 40.1% of U.S. basic science articles, 20.3% of overall clinical trials, 18.1% of randomizedcontrolled, and 12.2% of multicenter clinical trials. NIH-funded and total articles grew significantly (65 articles/year, P<0.001 and 218 articles/year, P<0.001, respectively). The proportion of articles receiving NIH funding was stable, but grew significantly for basic science and clinical trials (0.87%/year, P<0.001 and 0.67%/year, P = 0.029, respectively). NIH-funded articles had greater journal impact factors than non NIH-funded articles (5.76 vs. 3.71, P<0.001). Conclusions: NIH influence on U.S. cardiovascular research expanded in the past decade, during the period of NIH budget doubling. A substantial fraction of research is now directly funded and thus likely sensitive to budget fluctuations, particularly in basic science research. NIH funding predicts greater journal impact. [ABSTRACT FROM AUTHOR]

The U.S. Department of Health and Human Services Human Immunodeficiency Virus (HIV)/Acquired Immune Deficiency Syndrome (AIDS) treatment guidelines are modified several times per year to reflect the rapid evolution of the field (e.g., emergence of new antiretroviral drugs). As such, a treatment-decision support system that is capable of self-learning is highly desirable. Based on the fuzzy discrete event system (FDES) theory that we recently created, we have developed a self-learning HIV/AIDS regimen selection system for the initial round of combination antiretroviral therapy, one of the most complex therapies in medicine. The system consisted of a treatment objectives classifier, fuzzy finite state machine models for treatment regimens, and a genetic-algorithm-based optimizer. Supervised learning was achieved through automatically adjusting the parameters of the models by the optimizer. We focused on the four historically popular regimens with 32 associated treatment objectives involving the four most important clinical variables (potency, adherence, adverse effects, and future drug options). The learning targets for the objectives were produced by two expert AIDS physicians on the project, and their averaged overall agreement rate was 70.6%. The system's learning ability and new regimen suitability prediction capability were tested under various conditions of clinical importance. The prediction accuracy was found between 84.4% and 100%. Finally, we retrospectively evaluated the system using 23 patients treated by 11 experienced nonexpert faculty physicians and 12 patients treated by the two experts at our AIDS Clinical Center in 2001. The overall exact agreement between the 13 physicians' selections and the system's choices was 82.9% with the agreement for the two experts being both 100%. For the seven mismatched cases, the system actually chose more appropriate regimens in four cases and equivalent regimens in another two cases. It made a mistake in one case. These (preliminary) results show that 1) the System outperformed the nonexpert physicians and 2) it performed as well as the expert physicians did. This learning and prediction approach, as well as our original FDESs theory, is general purpose and can be applied to other medical or nonmedical problems. [ABSTRACT FROM AUTHOR]

Background: Valid and reliable quality measures can help catalyze improvements in health care. The care of transgender patients is ripe for quality measurement, as there is increasing awareness of the increasing prevalence of this population and the urgency of improving the health care they receive. While best practices may not exist for some aspects of transgender health care, other aspects are characterized by well-developed and highly evidence-based recommendations. Our objective was to create a list of potential quality measures for transgender care.Methods and Results: In consultation with our advisory panel, which consisted of clinical and academic experts in transgender medicine, we selected eight prominent clinical practice guidelines of transgender health care for review. Our four team investigators carefully reviewed all eight clinical practice guidelines. Through the course of multiple consensus-building meetings, we iteratively refined items until we had agreed upon a list of forty potential quality measures, all of which met the criteria for quality measures set forth in the Center for Medicare and Medicaid Services Blueprint for developing quality measures.Conclusions: This manuscript explains the origin of the quality measures we developed, and also provides a useful roadmap to any group hoping to develop quality measures for a field that has not previously had any. [ABSTRACT FROM AUTHOR]

Background: Patient-Centered Medical Home (PCMH) adoption is an important strategy to help improve primary care quality within Health Resources and Service Administration (HRSA) community health centers (CHC), but evidence of its effect thus far remains mixed. A limitation of previous evaluations has been the inability to account for the proportion of CHC delivery sites that are designated medical homes.Methods: Retrospective cross-sectional study using HRSA Uniform Data System (UDS) and certification files from the National Committee for Quality Assurance (NCQA) and the Joint Commission (JC). Datasets were linked through geocoding and an approximate string-matching algorithm. Predicted probability scores were regressed onto 11 clinical performance measures using 10% increments in site-level designation using beta logistic regression.Results: The geocoding and approximate string-matching algorithm identified 2615 of the 6851 (41.8%) delivery sites included in the analyses as having been designated through the NCQA and/or JC. In total, 74.7% (n = 777) of the 1039 CHCs that met the inclusion criteria for the analysis managed at least one NCQA- and/or JC-designated site. A proportional increase in site-level designation showed a positive association with adherence scores for the majority of all indicators, but primarily among CHCs that designated at least 50% of its delivery sites. Once this threshold was achieved, there was a stepwise percentage point increase in adherence scores, ranging from 1.9 to 11.8% improvement, depending on the measure.Conclusion: Geocoding and approximate string-matching techniques offer a more reliable and nuanced approach for monitoring the association between site-level PCMH designation and clinical performance within HRSA's CHC delivery sites. Our findings suggest that transformation does in fact matter, but that it may not appear until half of the delivery sites become designated. There also appears to be a continued stepwise increase in adherence scores once this threshold is achieved. [ABSTRACT FROM AUTHOR]

Context: Preceptors serve to model behaviors for athletic training students (ATSs) and provide meaningful practical experiences. Preceptor development in athletic training has been described as both formal and informal training. Whereas regular and ongoing formal preceptor training is common and an expectation of accreditation, informal training may also be occurring but less is known about its impact. Objective: Determine the socialization experiences influencing the role of being a preceptor. Design: Qualitative. Setting: Focus group. Patient or Participants: Inclusion criteria were met if candidates were currently or had been previously a preceptor, whereas exclusion criteria were met if candidates had no previous or current preceptor experience. Participants (age=32 6 9 years, clinical-practice experience = 10 6 8 years, preceptorship experience = 7 6 4 years) were predominantly women (72.2%, n = 13/18), held a master's degree (77%, n = 14/18), and were educated and eligible for certification through an accredited bachelors program (88%, n = 16/18). Main Outcome Measure(s): A total of 18 individuals participated in 7 focus groups, with 1 focus group excluded for minimal attendance. A 2-member data-analysis team coded focus group transcripts using the phenomenological approach; data were organized into themes and subthemes. Results: Preceptors discussed their formal training as programmatic responsibilities (Theme 1) while striving to create an ideal culture and environment (Theme 2) for student learning. The perceived preparedness theme (Theme 3) represented a lack of preparation and how preceptors worked to develop what they did not know. Last, preceptors described how they aimed to continue to improve their ability as preceptors (Theme 4). Conclusions: Participants focused on incorporating behaviors modeled for them previously as well as peer feedback to work toward the development of an ideal learning culture for ATSs. Although informal socialization to the role of preceptor is important, it is also irregular; formal pedagogical instruction and development may prove more beneficial. [ABSTRACT FROM AUTHOR]

Objective: To determine the correlation between hospital 30-day risk-standardized readmission rates (RSRRs) in elderly adults and those in nonelderly adults and children.Data Sources/study Setting: US hospitals (n = 1760 hospitals admitting adult patients and 235 hospitals admitting both adult and pediatric patients) in the 2013-2014 Nationwide Readmissions Database.Study Design: Cross-sectional analysis comparing 30-day RSRRs for elderly adult (≥65 years), middle-aged adult (40-64 years), young adult (18-39 years), and pediatric (1-17 years) patients.Principal Findings: Hospital elderly adult RSRRs were strongly correlated with middle-aged adult RSRRs (Pearson R2 .69 [95% confidence interval (CI) 0.66-0.71]), moderately correlated with young adult RSRRs (Pearson R2 .44 [95% CI 0.40-0.47]), and weakly correlated with pediatric RSRRs (Pearson R2 .28 [95% CI 0.17-0.38]). Nearly identical findings were observed with measures of interquartile agreement and Kappa statistics. This stepwise relationship between age and strength of correlation was consistent across every hospital characteristic.Conclusions: Hospital readmission rates in elderly adults, which are currently used for public reporting and hospital comparisons, may reflect broader hospital readmission performance in middle-aged and young adult populations; however, they are not reflective of hospital performance in pediatric populations. [ABSTRACT FROM AUTHOR]

There is strong epidemiological evidence that poor diet is associated with depression. The reverse has also been shown, namely that eating a healthy diet rich in fruit, vegetables, fish and lean meat, is associated with reduced risk of depression. To date, only one randomised controlled trial (RCT) has been conducted with elevated depression symptoms being an inclusion criterion, with results showing that a diet intervention can reduce clinical levels of depression. No such RCTs have been performed in young adults. Young adults with elevated levels of depression symptoms and who habitually consume a poor diet were randomly allocated to a brief 3-week diet intervention (Diet Group) or a habitual diet control group (Control Group). The primary and secondary outcome measures assessed at baseline and after the intervention included symptoms of depression (Centre for Epidemiological Studies Depression Scale; CESD-R; and Depression Anxiety and Stress Scale– 21 depression subscale; DASS-21-D), current mood (Profile of Mood States), self-efficacy (New General Self-Efficacy Scale) and memory (Hopkins Verbal Learning Test). Diet compliance was measured via self-report questionnaires and spectrophotometry. One-hundred-and-one individuals were enrolled in the study and randomly assigned to the Diet Group or the Control Group. Upon completion of the study, there was complete data for 38 individuals in each group. There was good compliance with the diet intervention recommendations assessed using self-report and spectrophotometry. The Diet group had significantly lower self-reported depression symptoms than the Control Group on the CESD-R (p = 0.007, Cohen’s d = 0.65) and DASS-21 depression subscale (p = 0.002, Cohen’s d = 0.75) controlling for baseline scores on these scales. Reduced DASS-21 depression subscale scores were maintained on follow up phone call 3 months later (p = .009). These results are the first to show that young adults with elevated depression symptoms can engage in and adhere to a diet intervention, and that this can reduce symptoms of depression. The findings provide justification for future research into the duration of these benefits, the impacts of varying diet composition, and their biological basis. [ABSTRACT FROM AUTHOR]

The Model for End-Stage Liver Disease (MELD) score has been successfully used to prioritize patients on the United States liver transplant waiting list since its adoption in 2002. The United Network for Organ Sharing (UNOS)/Organ Procurement Transplantation Network (OPTN) allocation policy has evolved over the years, and notable recent changes include Share 35, inclusion of serum sodium in the MELD score, and a ‘delay and cap’ policy for hepatocellular carcinoma (HCC) patients. We explored the potential of a registrant’s change in 30-day MELD scores (ΔMELD30) to improve allocation both before and after these policy changes. Current MELD and ΔMELD30 were evaluated using cause-specific hazards models for waitlist dropout based on US liver transplant registrants added to the waitlist between 06/30/2003 and 6/30/2013. Two composite scores were constructed and then evaluated on UNOS data spanning the current policy era (01/02/2016 to 09/07/2018). Predictive accuracy was evaluated using the C-index for model discrimination and by comparing observed and predicted waitlist dropout probabilities for model calibration. After the change to MELD-Na, increased dropout associated with ΔMELD30 jumps is no longer evident at MELD scores below 30. However, the adoption of Share 35 has potentially resulted in discrepancies in waitlist dropout for patients with sharp MELD increases at higher MELD scores. Use of the ΔMELD30 to add additional points or serve as a potential tiebreaker for patients with rapid deterioration may extend the benefit of Share 35 to better include those in most critical need. [ABSTRACT FROM AUTHOR]

Background: Treatment decision-making regarding immunosuppressive therapy is challenging for individuals with lupus. We assessed the effectiveness of a decision aid for immunosuppressive therapy in lupus nephritis.Methods and Findings: In a United States multicenter, open-label, randomized controlled trial (RCT), adult women with lupus nephritis, mostly from racial/ethnic minority backgrounds with low socioeconomic status (SES), seen in in- or outpatient settings, were randomized to an individualized, culturally tailored, computerized decision aid versus American College of Rheumatology (ACR) lupus pamphlet (1:1 ratio), using computer-generated randomization. We hypothesized that the co-primary outcomes of decisional conflict and informed choice regarding immunosuppressive medications would improve more in the decision aid group. Of 301 randomized women, 298 were analyzed; 47% were African-American, 26% Hispanic, and 15% white. Mean age (standard deviation [SD]) was 37 (12) years, 57% had annual income of <$40,000, and 36% had a high school education or less. Compared with the provision of the ACR lupus pamphlet (n = 147), participants randomized to the decision aid (n = 151) had (1) a clinically meaningful and statistically significant reduction in decisional conflict, 21.8 (standard error [SE], 2.5) versus 12.7 (SE, 2.0; p = 0.005) and (2) no difference in informed choice in the main analysis, 41% versus 31% (p = 0.08), but clinically meaningful and statistically significant difference in sensitivity analysis (net values for immunosuppressives positive [in favor] versus negative [against]), 50% versus 35% (p = 0.006). Unresolved decisional conflict was lower in the decision aid versus pamphlet groups, 22% versus 44% (p < 0.001). Significantly more patients in the decision aid versus pamphlet group rated information to be excellent for understanding lupus nephritis (49% versus 33%), risk factors (43% versus 27%), medication options (50% versus 33%; p ≤ 0.003 for all); and the ease of use of materials was higher in the decision aid versus pamphlet groups (51% versus 38%; p = 0.006). Key study limitations were the exclusion of men, short follow-up, and the lack of clinical outcomes, including medication adherence.Conclusions: An individualized decision aid was more effective than usual care in reducing decisional conflict for choice of immunosuppressive medications in women with lupus nephritis.Trial Registration: Clinicaltrials.gov, NCT02319525. [ABSTRACT FROM AUTHOR]

A critical issue for improving global health care is to better integrate basic science and clinical practice, as such integration will lead to innovative solutions. In this article, I will present models for how to prepare students to participate effectively on multidisciplinary teams that foster cooperation between scientists, medical centers, biotechnology businesses, and governmental bodies. I will provide examples of training programs in the United States (USA) designed to increase the number of and diversity of scientists and clinicians engaged in bridging basic science and clinical medicine, also called translational research. The training programs target different stages in career development, from pre-medical students through early career faculty, and have varied organisational structures. Many of the programs have existed long enough for institutions to be able to evaluate their effectiveness, and despite the different program contexts, there are key characteristics common to all of the programs that correlate with successful outcomes. Many of these characteristics can be adapted to other career stages and settings. I will summarize these and describe an example of an interdisciplinary, integrated science course for undergraduates that introduces students at the earliest stage of their careers to addressing complex problems through teamwork. Finally, I will provide suggestions for how other institutions can implement training programs that will build bridges between basic science and clinical medicine. [ABSTRACT FROM AUTHOR]

Objective: Develop and validate a surveillance model to identify outpatient surgical adverse events (AEs) based on previously developed electronic triggers.Data Sources: Veterans Health Administration's Corporate Data Warehouse.Study Design: Six surgical AE triggers, including postoperative emergency room visits and hospitalizations, were applied to FY2012-2014 outpatient surgeries (n = 744,355). We randomly sampled trigger-flagged and unflagged cases for nurse chart review to document AEs and measured positive predictive value (PPV) for triggers. Next, we used chart review data to iteratively estimate multilevel logistic regression models to predict the probability of an AE, starting with the six triggers and adding in patient, procedure, and facility characteristics to improve model fit. We validated the final model by applying the coefficients to FY2015 outpatient surgery data (n = 256,690) and reviewing charts for cases at high and moderate probability of an AE.Principal Findings: Of 1,730 FY2012-2014 reviewed surgeries, 350 had an AE (20 percent). The final surveillance model c-statistic was 0.81. In FY2015 surgeries with >0.8 predicted probability of an AE (n = 405, 0.15 percent), PPV was 85 percent; in surgeries with a 0.4-0.5 predicted probability of an AE, PPV was 38 percent.Conclusions: The surveillance model performed well, accurately identifying outpatient surgeries with a high probability of an AE. [ABSTRACT FROM AUTHOR]

Objective: To investigate magnitude and sources of discrepancy in quality metrics using claims versus electronic health record (EHR) data.Study Design: Assessment of proportions of HbA1c and LDL testing for people ascertained as diabetic from the respective sources. Qualitative interviews and review of EHRs of discrepant cases.Data Collection/extraction: Claims submitted to Rhode Island Medicaid by three practice sites in 2013; program-coded EHR extraction; manual review of selected EHRs.Principal Findings: Of 21,030 adult Medicaid beneficiaries attributed to a primary care patient at a site by claims or EHR data, concordance on assignment ranged from 0.30 to 0.41. Of patients with concordant assignment, the ratio of patients ascertained as diabetic by EHR versus claims ranged from 1.06 to 1.14. For patients with concordant assignment and diagnosis, the ratio based on EHR versus claims ranged from 1.08 to 18.34 for HbA1c testing, and from 1.29 to 14.18 for lipid testing. Manual record review of 264 patients discrepant on diagnosis or testing identified problems such as misuse of ICD-9 codes, failure to submit claims, and others.Conclusions: Claims data underestimate performance on these metrics compared to EHR documentation, by varying amounts. Use of claims data for these metrics is problematic. [ABSTRACT FROM AUTHOR]

Objective: To examine whether changes in resident-centered care (RCC) over time were associated with changes in quality.Data Sources/study Setting: Data sources were the Minimum Dataset quality indicators (which consist of measures of both prevalence and incidence of adverse events) and the Artifacts of Culture Change Tool (which measures RCC; FYs 2009-2012) from 130 Veterans Health Administration community living centers.Study Design: A retrospective longitudinal study.Data Collection/extraction Methods: Data were from VA secondary data sources.Principal Findings: The overall relationship between RCC and quality was not statistically significant (p = .22), although there was a weakly significant negative relationship (i.e., increased RCC was associated with poorer quality) in the seven quarters after implementation of an automated version of the Artifacts Tool (p = .08). In facility-specific analyses, there were 15 facilities with a weakly significant (p < .10) positive relationship between RCC and quality and 21 with a weakly significant negative relationship. Adjusted cost per patient day was over 50 percent higher in the 21 facilities with a negative relationship than in the 15 facilities with a positive relationship (p < .05).Conclusions: The Artifacts score is a formal performance metric in the VA, and thus, facilities were explicitly incentivized to increase RCC. Using qualitative methods to identify characteristics that distinguished those facilities able to increase both RCC and quality from those that suffered declines in quality as RCC was improved is an important follow-up to this study. [ABSTRACT FROM AUTHOR]

Objective: To examine the influence of Oregon's coordinated care organizations (CCOs) and pay-for-performance incentive model on completion of screening and brief intervention (SBI) and utilization of substance use disorder (SUD) treatment services.Data Sources/study Setting: Secondary analysis of Medicaid encounter data from 2012 to 2015 and semiannual qualitative interviews with stakeholders in CCOs.Study Design: Longitudinal mixed-methods design with simultaneous data collection with equal importance.Data Collection/extraction Methods: Qualitative interviews were recorded, transcribed, and coded in ATLAS.ti. Quantitative data included Medicaid encounters 30 months prior to CCO implementation, a 6-month transition period, and 30 months following CCO implementation. Data were aggregated by half-year with analyses restricted to Medicaid recipients 18-64 years of age enrolled in a CCO, not eligible for Medicare coverage or Medicaid expansion.Principal Findings: Quantitative analysis documented a significant increase in SBI rates coinciding with CCO implementation (0.1 to 4.6 percent). Completed SBI was not associated with increased initiation in treatment for SUD diagnoses. Qualitative analysis highlighted importance of aligning incentives, workflow redesign, and leadership to facilitate statewide SBI.Conclusions: Results provide modest support for use of a performance metric to expand SBI in primary care. Future research should examine health reform efforts that increase initiation and engagement in SUD treatment. [ABSTRACT FROM AUTHOR]