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Background: The prevalence of direct-to-consumer (DTC) advertising for prescription drugs has led to concerns about how consumers interpret the medical information conveyed in these ads. One strategy for improving lay understanding of medical information involves incorporating quantitative information about a treatment's potential benefits and risks., Objective: This literature review investigates laypersons' interpretations of statistical concepts, expanding on past reviews and including terms that may be used in DTC prescription drug advertising., Methods: We searched six databases for articles published from January 2000 to October 2021. Articles were included if they were in English and examined general or lay audiences' comprehension of quantitative or statistical concepts, without limiting the context of the studies to medical situations., Results: We identified 25 eligible articles. The evidence suggests that likelihood ratios, odds ratios, probabilities, numbers needed to treat/harm, and confidence intervals hinder comprehension of quantitative information. The results are mixed for information presented as frequencies, percentages, absolute risk reduction, and relative risk reduction. The mixed findings could be due to numeracy, framing as risks or benefits, and operationalization of the outcomes. We found no studies examining interpretations of minimum, maximum, central tendency, power, statistical significance, or hazard ratio., Conclusion: Studies spanning several decades have examined how laypeople interpret statistical concepts. While a few terms are consistently studied, many questions still remain on how to make risk information more understandable to lay audiences, particularly those with low numeracy., Competing Interests: Declaration of competing interest None, (Copyright © 2024. Published by Elsevier Inc.)

Introduction: RCTs have found that type 2 diabetes can be prevented among high-risk individuals by metformin medication and evidence-based lifestyle change programs. The purpose of this study is to estimate the use of interventions to prevent type 2 diabetes in real-world clinical practice settings and determine the impact on diabetes-related clinical outcomes., Methods: The analysis performed in 2020 used 2010‒2018 electronic health record data from 69,434 patients aged ≥18 years at high risk for type 2 diabetes in 2 health systems. The use and impact of prescribed metformin, lifestyle change program, bariatric surgery, and combinations of the 3 were examined. A subanalysis was performed to examine uptake and retention among patients referred to the National Diabetes Prevention Program., Results: Mean HbA1c values declined from before to after intervention for patients who were prescribed metformin (-0.067%; p<0.001) or had bariatric surgery (-0.318%; p<0.001). Among patients referred to the National Diabetes Prevention Program lifestyle change program, the type 2 diabetes postintervention incidence proportion was 14.0% for nonattendees, 12.8% for some attendance, and 7.5% for those who attended ≥4 sessions (p<0.001). Among referred patients to the National Diabetes Prevention Program lifestyle change program, uptake was low (13% for 1‒3 sessions, 15% for ≥4 sessions), especially among males and Hispanic patients., Conclusions: Findings suggest that metformin and bariatric surgery may improve HbA1c levels and that participation in the National Diabetes Prevention Program may reduce type 2 diabetes incidence. Efforts to increase the use of these interventions may have positive impacts on diabetes-related health outcomes., (Copyright © 2022 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Background: This Special Issue, Future Directions in Transitional Care Research, focuses on the approaches used and lessons learned by researchers conducting care transitions studies funded by the Patient-Centered Outcomes Research Institute (PCORI). PCORI's approach to transitional care research augments prior research by encouraging researchers to focus on head-to-head comparisons of interventions, the use of patient-centered outcomes, and the engagement of stakeholders throughout the research process., Objectives: This paper introduces the themes and topics addressed by the articles that follow, which are focused on opportunities and challenges involved in conducting patient-centered clinical comparative effectiveness research in transitional care. It provides an overview of the state of the care transitions field, a description of PCORI's programmatic objectives, highlights of the patient and stakeholder engagement activities that have taken place during the course of these studies, and a brief overview of PCORI's Transitional Care Evidence to Action Network, a learning community designed to foster collaboration between investigators and their research teams and enhance the collective impact of this body of work., Conclusions: The papers in this Special Issue articulate challenges, lessons learned, and new directions for measurement, stakeholder engagement, implementation, and methodological and design approaches that reflect the complexity of transitional care comparative effectiveness research and seek to move the field toward a more holistic understanding of transitional care that integrates social needs and lifespan development into our approaches to improving care transitions., Competing Interests: The authors declare no conflict of interest., (Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc.)

Background: The quality of the discharge process and effective care transitions between settings of care are critical to minimize gaps in patient care and reduce hospital readmissions. Few studies have explored which care transition components and strategies are most valuable to patients and providers. This study describes the development, pilot testing, and psychometric analysis of surveys designed to gain providers' perspectives on current practices in delivering transitional care services., Methods: We underwent a comprehensive process to develop items measuring unique aspects of care transitions from the perspectives of the three types of providers (downstream, ambulatory, and hospital providers). The process involved 1) an environmental scan, 2) provider interviews, 3) survey cognitive testing, 4) pilot testing, 5) a Stakeholder Advisory Group, 6) a Scientific Advisory Council, and 7) a collaborative Project ACHIEVE (Achieving Patient-Centered Care and Optimized Health in Care Transitions by Evaluating the Value of Evidence) research team. Three surveys were developed and fielded to providers affiliated with 43 hospitals participating in Project ACHIEVE. Web-based survey administration resulted in 948 provider respondents. We assessed response variability and response missingness. To evaluate the composites' psychometric properties, we examined intercorrelations of survey items, item factor loadings, model fit indices, internal consistency reliability, and intercorrelations between the composite measures and overall rating items., Results: Results from psychometric analyses of the three surveys provided support for five composite measures: 1) Effort in Coordinating Patient Care, 2) Quality of Patient Information Received, 3) Organizational Support for Transitional Care, 4) Access to Community Resources, and 5) Strength of Relationships Among Community Providers. All factor loadings and reliability estimates were acceptable (loadings ≥ 0.40, α ≥ 0.70), and the fit indices showed a good model fit. All composite measures positively and significantly correlated with the overall ratings (0.13 ≤ r ≤ 0.71)., Conclusions: We determined that the items and composite measures assessing the barriers and facilitators to care transitions within this survey are reliable and demonstrate satisfactory psychometric properties. The instruments may be useful to healthcare organizations and researchers to assess the quality of care transitions and target areas of improvement across different provider settings.