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Introduction: The purpose of this descriptive study is to examine a learning health system (LHS) continuous improvement and learning approach as a case for increased quality, standardized processes, redesigned workflows, and better resource utilization. Hospital acquired pressure injuries (HAPI) commonly occur in the hospitalized patient and are costly and preventable. This study examines the effect of a LHS approach to reducing HAPI within a large academic medical center. Methods: Our learning health center implemented a 6‐year series of iterative improvements that included both process and technology changes, with robust data and analytical reforms. In this descriptive, observational study, we retrospectively examined longitudinal data from April 1, 2018 to March 31, 2022, examining the variables of total number of all‐stage HAPI counts and average length of stay (ALOS). We also analyzed patient characteristics observed/expected mortality ratios, as well as total patient days, and the case‐mix index to determine whether these factors varied over the study period. We used the Agency for Healthcare Research and Quality cost estimates to identify the estimated financial benefit of HAPI reductions on an annualized basis. Results: HAPI per 1000 patient days for FY 20 (October 1‐September 30) and FY 21, decreased from 2.30 to 1.30 and annualized event AHRQ cost estimates for HAPI decreased by $4 786 980 from FY 20 to FY 21. A strong, statistically significant, negative and seemingly counterintuitive correlation was found (r = −.524, P =.003) between HAPI and ALOS. Conclusions: The LHS efforts directed toward HAPI reduction led to sustained improvements during the study period. These results demonstrate the benefits of a holistic approach to quality improvement offered by the LHS model. The LHS model goes beyond a problem‐based approach to process improvement. Rather than targeting a specific problem to solve, the LHS system creates structures that yield process improvement benefits over a continued time period. [ABSTRACT FROM AUTHOR]

Introduction: Older, chronically ill patients with limited health literacy are often under-engaged in managing their health and turn to the emergency department (ED) for healthcare needs. We tested the impact of an ED-initiated coaching intervention on patient engagement and follow-up doctor visits in this high-risk population. We also explored patients' care-seeking decisions. Methods: We conducted a mixed-methods study including a randomized controlled trial and in-depth interviews in two EDs in northern Florida. Participants were chronically ill older ED patients with limited health literacy and Medicare as a payer source. Patients were assigned to an evidence-based coaching intervention (n= 35) or usual post-ED care (n= 34). Qualitative interviews (n=9) explored patients' reasons for ED use. We assessed average between-group differences in patient engagement over time with the Patient Activation Measure (PAM) tool, using logistic regression and a difference-in-difference approach. Between-group differences in follow-up doctor visits were determined. We analyzed qualitative data using open coding and thematic analysis. Results: PAM scores fell in both groups after the ED visit but fell signi ficantly more in "usual care" (average decline -4.64) than "intervention" participants (average decline -2.77) (β=1.87, p=0.043). There were no between-group differences in doctor visits. Patients described wellinformed reasons for ED visits including onset and severity of symptoms, lack of timely provider access, and immediate and comprehensive ED care. Conclusion: The coaching intervention significantly reduced declines in pati ent engagement observed after usual post-ED care. Patients reported well-informed reasons for ED use and will likely continue to make ED visits unless strategies, such as ED-initiated coaching, are implemented to help vulnerable patients better manage their health and healthcare. [ABSTRACT FROM AUTHOR]

Background: The successful implementation of evidence-based innovations to improve healthcare delivery often requires a well-planned strategy to support their use. With a greater recognition of the importance of an implementation process, researchers have turned their attention to implementation strategies and their customization to target specific organizational barriers and facilitators. Further, there is a paucity of empirical evidence demonstrating the link between implementation determinants and the number of selected implementation strategies. The purpose of this mixed methods analysis is to examine how formatively assessed barriers and facilitators to implementation relate to the number and type of implementation strategies adopted to address context-specific factors. Methods: A mixed methods evaluation that included 15 rheumatology clinics throughout the United States that were planning for implementation of an evidence-based shared decision-making aid for patients with lupus. Quantitative data consisted of a count of the number of implementation strategies used by a clinic. Qualitative data collection was guided by the Consolidated Framework for Implementation Research (CFIR) and relied upon semi-structured interviews with 90 clinic members between November 2018 and August 2019. Results: Using the CFIR, we found that local clinic factors (Inner Setting Domain) resulted in different perceptions about Planning and Executing the DA (Process Domain); these domains were most likely to distinguish between the number and type of implementation strategies adopted by the clinics. In contrast, Intervention characteristics, Individual Characteristics, and the Outer Setting did not differentiate between the groups with different numbers of implementation strategies. The number and type of chosen strategies were not those associated with the context-specific factors. Conclusions: Findings show that, despite recognition of the value of customizing implementation strategies for the contexts in which they are applied, they are too often chosen in a manner that fail to adequately reflect the diverse settings that may present unique factors associated with implementation. Our findings also highlight the importance of the inner context – both in terms of structural characteristics and existing work processes – as a driving factor for why some organizations select different numbers and types of implementation strategies. [ABSTRACT FROM AUTHOR]

Objectives: The COVID-19 pandemic demonstrated how vaccination decisions are influenced by misinformation, disinformation, and social pressures, leading to varied and inequitable uptake rates. In this study, we examined how COVID-19 vaccine messages received via social networks were associated with vaccine uptake in rural Alabama., Methods: From November 2021 through March 2022, we collected 700 responses to a telephone survey administered in 4 rural Alabama counties. We asked respondents to indicate whether certain social relationships (eg, family, businesses) tried to influence them to (1) obtain or (2) avoid a COVID-19 vaccine. We used χ 2 tests, Kruskal-Wallis tests, Mantel-Haenszel χ 2 tests, and Fisher exact tests to examine the associations between vaccination status and survey responses., Results: Respondents in majority-African American counties were significantly more likely than those in majority-White counties to have received ≥1 dose of COVID-19 vaccine (89.8% vs 72.3%; P  < .001). Respondents who received ≥1 dose had a significantly higher mean age than those who had not (58.0 vs 39.0 years; P  < .001). Respondents who were encouraged to get vaccinated by religious leaders were more likely to have received ≥1 dose ( P  = .001), and those who were encouraged to avoid vaccination by family ( P  = .007), friends ( P  = .02), coworkers ( P  = .003), and health care providers ( P  < .001) were less likely to have received ≥1 dose. Respondents with more interpersonal relationships that encouraged them to avoid vaccination were more likely to be unvaccinated ( P  < .001)., Conclusions: Interpersonal relationships and demographic characteristics appeared to be important in COVID-19 vaccine decision-making in rural Alabama. Further research needs to identify how to facilitate vaccine-positive interpersonal relationships, such as peer mentoring and trusted messenger interventions., Competing Interests: Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: The use of both clinical factors and social determinants of health (SDoH) in referral decision-making for case management may improve optimal use of resources and reduce outcome disparities among patients with diabetes., Objective: This study proposes the development of a data-driven decision-support system incorporating interactions between clinical factors and SDoH into an algorithm for prioritizing who receives case management services. The paper presents a design for prediction validation and preimplementation assessment that uses a mixed methods approach to guide the implementation of the system., Methods: Our study setting is a large, tertiary care academic medical center in the Deep South of the United States, where SDoH contribute to disparities in diabetes-specific hospitalizations and emergency department (ED) visits. This project will develop an interpretable artificial intelligence model for a population with diabetes using SDoH and clinical data to identify which posthospitalization cases have a higher likelihood of subsequent ED use. The electronic health record data collected for the study include demographics, SDoH, comorbidities, hospitalization-related factors, laboratory test results, and medication use to predict posthospitalization ED visits. Subsequently, a mixed methods approach will be used to validate prediction outcomes and develop an implementation strategy from insights into patient outcomes from case managers, clinicians, and quality and patient safety experts., Results: As of December 2023, we had abstracted data on 174,871 inpatient encounters between January 2018 and September 2023, involving 89,355 unique inpatients meeting inclusion criteria. Both clinical and SDoH data items were included for these patient encounters. In total, 85% of the inpatient visits (N=148,640) will be used for training (learning from the data) and the remaining 26,231 inpatient visits will be used for mixed-methods validation (testing)., Conclusions: By integrating a critical suite of SDoH with clinical data related to diabetes, the proposed data-driven risk stratification model can enable individualized risk estimation and inform health professionals (eg, case managers) about the risk of patients' upcoming ED use. The prediction outcome could potentially automate case management referrals, helping to better prioritize services. By taking a mixed methods approach, we aim to align the model with the hospital's specific quality and patient safety considerations for the quality of patient care and the optimization of case management resource allocation., International Registered Report Identifier (irrid): DERR1-10.2196/56049., (©Seung-Yup Lee, Leslie W Hayes, Bunyamin Ozaydin, Steven Howard, Alison M Garretson, Heather M Bradley, Andrew M Land, Erin W DeLaney, Amy O Pritchett, Amanda L Furr, Ashleigh Allgood, Matthew C Wyatt, Allyson G Hall, Jane C Banaszak-Holl. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 25.09.2024.)

Background and Objectives: Quality improvement (QI) and simulation employ complementary approaches to improve the care provided to patients. There is a significant opportunity to leverage these disciplines, yet little is known about how they are utilized in concert. The purpose of this study is to explore how QI and simulation have been used together in health care., Methods: This scoping review includes studies published between 2015 and 2021 in 4 databases: CINAHL, Embase, PubMed, and Scopus., Results: The search yielded 921 unique articles.18 articles met the inclusion criteria and specifically described QI and simulation collaborative projects. Of the 18 articles, 28% focused on improvements in patient care, 17% on educational interventions, 17% on the identification of latent safety threats (LSTs) that could have an impact on clinical care, 11% on the creation of new processes, 11% on checklist creation, and 6% on both LST identification and educational intervention. The review revealed that 61% of the included studies demonstrated a concurrent integration of simulation and QI activities, while 33% used a sequential approach., Conclusions: There is a paucity of studies detailing the robust and synergistic use of QI and simulation. The findings of this review suggest a positive impact on patient safety when QI and simulation are used in tandem. The systematic integration of these disciplines and the use of established reporting guidelines can promote patient safety in practice and in the literature., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Poor well-being and burnout among the nursing workforce were heightened by the COVID-19 pandemic. The purpose of this study was to deliver, spread, and sustain an evidence-based wellness program, Workforce Engagement for Compassionate Advocacy, Resilience, and Empowerment (WE CARE), for nurse leaders, staff registered nurses (RNs), and patient care technicians (PCTs) to ameliorate or prevent burnout, promote resilience, and improve the work environment. The program included Community Resiliency Model (CRM) training provided by a certified 6-member wellness team. A baseline and 6-month follow-up survey included measures of well-being, moral distress, burnout, resilience, perceived organizational support (POS), job satisfaction, intent to leave (ITL), and work environment. A total of 4900 inpatient RNs, PCTs, and leaders of a 1207-bed academic medical center in the southeastern United States were analyzed. From baseline (n = 1533) to 6-month follow-up (n = 1457), well-being, moral distress, burnout, job satisfaction, and work environment improved; however, resilience, POS, and ITL did not. Although we have seen some improvements in well-being and mental health indicators, it is still early in the intervention period to have reached a critical mass with the training and other interventions. The mental health and work environment issues among nurses are so complex, no one-size-fits-all intervention can resolve., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2024 The Authors. Published by Wolters Kluwer Health, Inc.)

Objective: To evaluate the impact of implementing a comprehensive secondary onboarding and development program within a hospital medicine group at a large tertiary academic medical institution., Methods: This was a mixed-methods study with physician and advanced practice providers (APPs) at an academic medical institution., Results: For quantitative methods, improvement in competencies was determined using a pre-and posttest for APPs and pre- and postevaluation scores from collaborating physicians. APPs also participated in a pre- and post-self-assessment. For qualitative methods, experiences in the secondary onbo.arding and development program were assessed using semistructured interviews., Conclusions: For quantitative results, there were a total of 25 APPs who completed the pre- and posttest and were evaluated by at least 9 physicians. The average pretest score for APPs was 71.7% and the average posttest score was 83.0%. The average score for physicians' evaluations of APPs was 4.24/5 and increased to 4.38/5 in the postprogram evaluations. The average score for APP self-assessment pretraining was 3.52/5 and after the 12-month onboarding training, average scores increased to 3.84/5. For qualitative results, 4 APPs and 6 physicians were interviewed. Three of the APPs reported having more confidence in treating patients, whereas 1 APP viewed the program as a refresher course. All of the APPs mentioned that they would recommend the program to other APPs. Physicians reported that the program was beneficial in standardizing the care provided among the different types of APPs (physician assistants and nurse practitioners). All of the physicians also would recommend the program to other physicians and APPs.

Background and Objectives: Public health systems exhibiting strong connections across the workforce experience substantial population health improvements. This is especially important for improving quality and achieving value among vulnerable populations such as mothers and infants. The purpose of this research was to demonstrate how Alabama's newly formed perinatal quality collaborative (Alabama Perinatal Quality Collaborative [ALPQC]) used evidenced-based processes to achieve consensus in identifying population quality improvement (QI) initiatives., Methods: This multiphase quantitative and qualitative study engaged stakeholders (n = 44) at the ALPQC annual meeting. Maternal and neonatal focused QI project topics were identified and catalogued from active perinatal quality collaborative websites. The Delphi method and the nominal group technique (NGT) were used to prioritize topics using selected criteria ( impact , enthusiasm , alignment , and feasibility ) and stakeholder input., Results: Using the Delphi method, 11 of 27 identified project topics met inclusion criteria for stakeholder consideration. Employing the NGT, maternal projects received more total votes (n = 535) than neonatal projects (n = 313). Standard deviations were higher for neonatal projects (SD: feasibility = 10.9, alignment = 17.9, enthusiasm = 19.2, and impact = 22.1) than for maternal projects (SD: alignment = 5.9, enthusiasm = 7.3, impact = 7.9, and feasibility = 11.1). Hypertension in pregnancy (n = 117) and neonatal abstinence syndrome (n = 177) achieved the most votes total and for impact (n = 35 and n = 54, respectively) but variable support for feasibility ., Conclusions: Together, these techniques achieved valid consensus across multidisciplinary stakeholders in alignment with state public health priorities. This model can be used in other settings to integrate stakeholder input and enhance the value of a common population QI agenda., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Introduction: The purpose of this descriptive study is to examine a learning health system (LHS) continuous improvement and learning approach as a case for increased quality, standardized processes, redesigned workflows, and better resource utilization. Hospital acquired pressure injuries (HAPI) commonly occur in the hospitalized patient and are costly and preventable. This study examines the effect of a LHS approach to reducing HAPI within a large academic medical center., Methods: Our learning health center implemented a 6-year series of iterative improvements that included both process and technology changes, with robust data and analytical reforms. In this descriptive, observational study, we retrospectively examined longitudinal data from April 1, 2018 to March 31, 2022, examining the variables of total number of all-stage HAPI counts and average length of stay (ALOS). We also analyzed patient characteristics observed/expected mortality ratios, as well as total patient days, and the case-mix index to determine whether these factors varied over the study period. We used the Agency for Healthcare Research and Quality cost estimates to identify the estimated financial benefit of HAPI reductions on an annualized basis., Results: HAPI per 1000 patient days for FY 20 (October 1-September 30) and FY 21, decreased from 2.30 to 1.30 and annualized event AHRQ cost estimates for HAPI decreased by $4 786 980 from FY 20 to FY 21. A strong, statistically significant, negative and seemingly counterintuitive correlation was found ( r  = -.524, P  = .003) between HAPI and ALOS., Conclusions: The LHS efforts directed toward HAPI reduction led to sustained improvements during the study period. These results demonstrate the benefits of a holistic approach to quality improvement offered by the LHS model. The LHS model goes beyond a problem-based approach to process improvement. Rather than targeting a specific problem to solve, the LHS system creates structures that yield process improvement benefits over a continued time period., Competing Interests: The authors report that they have no conflicts of interest., (© 2022 The Authors. Learning Health Systems published by Wiley Periodicals LLC on behalf of University of Michigan.)

Health care systems continue to struggle with preventing 30-day readmissions to their institutions. Social determinants of health (SDOH) are important predictors of repeat visits to the hospital. In many health systems, SDOH data are limited to those variables that are most relevant to care delivery or payment (eg, race, gender, insurance status). Despite calls for integrating a more robust set of measures (eg, measures of health behaviors and living conditions) into the electronic health record (EHR), these data often have missing values necessitating the use of imputation to build a comprehensive picture of patients who are likely to return to the health system. Using logistic regression analyses and imputation of missing data from 2017 to 2018, this study uses measures found in the EHR (eg, tobacco use, living situation, problems at home, education) to assess those SDOH that might predict a return to the emergency department within 30 days of discharge from a health system. In both imputed and raw data, the total number of recorded health conditions was the most important predictor and collectively SDOH variables made a relatively small contributions in determining the likelihood of a return to the hospital. Although SDOH variables might be important in the design of programs aimed at preventing readmissions, they may not be useful in readmission predictive models.

Objective: To examine knowledge, attitudes, and practices about COVID-19 in Alabama, with a primary focus on vaccination perception and utilization., Design: We used a COVID-19 Knowledge, Attitudes, and Practices survey and recruited adult Alabama residents in April-May 2021., Participants: Initial surveys from 1324 Alabamian participants were considered for analysis; after careful review of incomplete responses, 953 were ultimately included for analysis., Main Outcome Measure: Vaccine behavior and hesitancy comprise a self-reported response contained in the survey instrument. Three primary vaccine groups were used to assess differences in demographic characteristics, health status, perception of susceptibility and severity of COVID-19, sources of information, and trust about COVID-19., Results: Of the 953 survey participants included for analysis, 951 had self-identified vaccine status in which 153 (16.1%) reported to have received the vaccine at the time of the survey, 375 (39.4%) were very likely or somewhat likely to get an approved COVID-19 vaccine if it was offered, and 423 (44.5%) were somewhat unlikely or very unlikely to get an approved COVID-19 vaccine. Health care providers were the most trusted sources of information, regardless of vaccine status. For participants unlikely to receive a vaccine, social media and local news sources were consistently more trusted and utilized than those who were vaccinated or were likely to be., Conclusions: The perceptions among unvaccinated participants are actionable and provide teachable opportunities to decrease vaccine apprehension., Competing Interests: Each author has no conflicts of interest to report; additionally, there is no funding source to disclose., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Competing Interests: The authors declare no conflicts of interest.

Background: COVID-19 negatively impacts many organ systems including the skin. One of the most significant skin-associated adverse events related to hospitalization are pressure injuries., Purpose: The aim of this study was to determine 8 risk factors that would place hospitalized patients at a higher risk for hospital-acquired pressure injuries (HAPIs) during the COVID-19 pandemic., Methods: A retrospective, descriptive analysis was conducted in an urban academic health science center located in the southeastern United States., Results: There were 247 of 23 093 patients who had pressure injuries and 1053 patients who had a positive COVID-19 diagnosis. Based on the generalized estimating equation model, diagnosis of COVID-19, age, male gender, risk of mortality, severity of illness, and length of stay are statistically significant factors associated with the development of HAPIs., Conclusions: Further study should explore pathology of COVID-19 skin changes and what interventions are effective against HAPIs in the COVID-19 population taking into consideration current treatments., Competing Interests: Dr Polancich is the Column Editor for the Journal for Healthcare Quality. The authors declare no conflicts of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Delayed discharges can be a systemic issue. Understanding the systemic factors that contribute to discharge inefficiencies is essential to addressing discharge inefficiencies., Purpose: This article reports on a Lean Six Sigma approach and the process to identifying inefficiencies and systemic barriers to early discharge in a large US academic medical center., Methods: A qualitative methodology guided this project. In particular, direct observation methods were used to help the project team identify factors contributing to discharge inefficiencies., Results: Overall, findings suggest that establishing consistent multidisciplinary team communication processes was a contributing factor to reducing the inefficiencies around discharges. On a more granular level, key barriers included disparate communication systems, disruptors (specifically Kaizen bursts), and unique role challenges., Conclusions: This article provides a framework for addressing discharge inefficiencies. Because the output of the process, a critical contributor to the overall outcome, is often not analyzed, this analysis provides value to others contemplating the same or similar process toward discharge efficiency., Competing Interests: Sue Feldman is a consultant with Guideway Care. Her work there has no relation to the content in this article. The other authors declare no conflicts of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: To identify major research topics and exhibit trends in these topics in 15 health services research, health policy, and health economics journals over 2 decades., Data Sources: The study sample of 35,159 abstracts (1999-2020) were collected from PubMed for 15 journals., Study Design: The study used a 3-phase approach for text analyses: (1) developing the corpus of 40,618 references from PubMed (excluding 5459 of those without abstract or author information); (2) preprocessing and generating the term list using natural language processing to eliminate irrelevant textual data and identify important terms and phrases; (3) analyzing the preprocessed text data using latent semantic analysis, topic analyses, and multiple correspondence analysis., Principal Findings: Application of analyses generated 16 major research topics: (1) implementation/intervention science; (2) HIV and women's health; (3) outcomes research and quality; (4) veterans/military studies; (5) provider/primary-care interventions; (6) geriatrics and formal/informal care; (7) policies and health outcomes; (8) medication treatment/therapy; (9) patient interventions; (10) health insurance legislation and policies; (11) public health policies; (12) literature reviews; (13) cost-effectiveness and economic evaluation; (14) cancer care; (15) workforce issues; and (16) socioeconomic status and disparities. The 2-dimensional map revealed that some journals have stronger associations with specific topics. Findings were not consistent with previous studies based on user perceptions., Conclusion: Findings of this study can be used by the stakeholders of health services research, policy, and economics to develop future research agendas, target journal submissions, and generate interdisciplinary solutions by examining overlapping journals for particular topics., Competing Interests: The authors declare no conflict of interest., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Competing Interests: J.A.S. has received consultant fees from Crealta/Horizon, Medisys, Fidia, UBM LLC, Trio Health, Medscape, WebMD, Clinical Care options, Clearview Healthcare Partners, Putnam Associates, Focus Forward, Navigant Consulting, Spherix, Practice Point Communications, the National Institutes of Health, and the American College of Rheumatology. J.A.S. owns stock options in Vaxart pharmaceuticals. J.A.S. previously owned stock options in Amarin, Viking and Moderna Pharmaceuticals, and Charlotte's Web Holdings, Inc. J.A.S. is on the speakers' bureau of Simply Speaking. J.A.S. is a member of the executive of Outcomes Measures in Rheumatology, an organization that develops outcome measures in rheumatology and receives arms-length funding from 12 companies. J.A.S. serves on the FDA Arthritis Advisory Committee. J.A.S. is the chair of the Veterans Affairs Rheumatology Field Advisory Committee. J.A.S. is the editor and the director of the University of Alabama at Birmingham Cochrane Musculoskeletal Group Satellite Center on Network Meta-analysis. J.A.S. previously served as a member of the following committees: member, the American College of Rheumatology's (ACR) Annual Meeting Planning Committee and Quality of Care Committees, the Chair of the ACR Meet-the-Professor, Workshop, and Study Group Subcommittee and the cochair of the ACR Criteria and Response Criteria subcommittee. A.G.H., D.H.K., and C.R. declare no conflict of interest.

Background: Patients with co-occurring behavioral health and chronic medical conditions frequently overuse inpatient hospital services. This pattern of overuse contributes to inefficient health care spending. These patients require coordinated care to achieve optimal health outcomes. However, the poor exchange of health-related information between various clinicians renders the delivery of coordinated care challenging. Health information exchanges (HIEs) facilitate health-related information sharing and have been shown to be effective in chronic disease management; however, their effectiveness in the delivery of integrated care is less clear. It is prudent to consider new approaches to sharing both general medical and behavioral health information., Objective: This study aims to identify and describe factors influencing the intention to use behavioral health information that is shared through HIEs., Methods: We used a mixed methods design consisting of two sequential phases. A validated survey instrument was emailed to clinical and nonclinical staff in Alabama and Oklahoma. The survey captured information about the impact of predictors on the intention to use behavioral health data in clinical decision making. Follow-up interviews were conducted with a subsample of participants to elaborate on the survey results. Partial least squares structural equation modeling was used to analyze survey data. Thematic analysis was used to identify themes from the interviews., Results: A total of 62 participants completed the survey. In total, 63% (n=39) of the participants were clinicians. Performance expectancy (β=.382; P=.01) and trust (β=.539; P<.001) predicted intention to use behavioral health information shared via HIEs. The interviewees (n=5) expressed that behavioral health information could be useful in clinical decision making. However, privacy and confidentiality concerns discourage sharing this information, which is generally missing from patient records altogether. The interviewees also stated that training for HIE use was not mandatory; the training that was provided did not focus specifically on the exchange of behavioral health information., Conclusions: Despite barriers, individuals are willing to use behavioral health information from HIEs if they believe that it will enhance job performance and if the information being transmitted is trustworthy. The findings contribute to our understanding of the role HIEs can play in delivering integrated care, particularly to vulnerable patients., (©Randyl A Cochran, Sue S Feldman, Nataliya V Ivankova, Allyson G Hall, William Opoku-Agyeman. Originally published in JMIR Mental Health (https://mental.jmir.org), 27.05.2021.)

Objective: To provide the details of the study protocol for an observational, case study design, implementation trial., Methods: Implementing the DEcision-Aid for Lupus (IDEAL) study will put into practice a shared decision-making (SDM) strategy, using an individualized, culturally appropriate computerized decision-aid (DA) for lupus patients in 15 geographically diverse clinics in the USA. The overarching frameworks that guide this implementation study are the Consolidated Framework for Implementation Research (CFIR) and Powell's typology of implementation strategies. All 15 clinics will receive standardized capacity-building activities for lupus DA implementation in the clinic, including education, training, technical assistance, re-training, and incorporation of a clinic champion in the core team of each site. In addition, clinics will also choose among clinic-targeted activities to integrate the DA into existing work processes and/or patient-targeted activities to raise awareness and educate patients about the DA. These activities will be chosen to stimulate participant recruitment and retention activities that support the implementation of the DA at their clinic. In study aim 1, using surveys and semi-structured interviews with clinic personnel in 15 lupus clinics, we will assess stakeholder needs and identify clinic and contextual characteristics that inform the implementation strategy component selection and influence implementation effectiveness. Study aim 2 is to implement and assess the effectiveness of the IDEAL (standardized and tailored) strategy in 15 lupus clinics by examining the changes in our primary outcome of penetration, i.e., the proportion of all eligible patients in the clinic that receive the lupus DA, and secondary outcomes include DA appropriateness, acceptability, success, permanence, and feasibility. Study aim 3 is to identify ways to sustain and disseminate our lupus DA via semi-structured debriefing interviews with key clinic personnel and patients., Discussion: The study will enroll at least 500 patient participants with lupus across all 15 sites and assess the effectiveness in implementing the DA in various clinic settings across the USA., Trial Registration: ClinicalTrials.gov, NCT03735238 . Protocol version number: 15, date 6/8/2020.

Objectives: To examine the relationship between participation in value-based programs and care coordination activities., Study Design: Cross-sectional, observational study of 1648 US hospitals using the American Hospital Association (AHA)'s 2013 Survey of Care Systems. Value-based program participation included participation in either an accountable care organization (ACO) or a bundled payment program. We assessed adoption (whether a hospital was using any of a set of 12 care coordination activities in the AHA survey) and spread (in each hospital adopting care coordination activities, how extensively those activities were implemented throughout the hospital)., Methods: Ordinary least squares regression assessed associations between participation in an ACO or bundled payment program and the adoption and spread of 12 care coordination activities., Results: Hospitals adopted nearly two-thirds of the possible care coordination activities (mean [SD] = 7.9 [4.4] of 12). Among those hospitals adopting care coordination activities, there was a relatively moderate spread of these activities (mean = 2.5; range, 1 [minimally used] to 4 [used hospitalwide]). Hospital participation in an ACO was associated with the adoption of 3.07 more care coordination activities (P <.001), on average, and 0.16 more points on the scale of spread of care coordination activities (P <.001) compared with hospitals that were not participating in an ACO. Hospital participation in a bundled payment program was associated with the adoption of 1.84 more care coordination activities (b = 1.84; P <.001) but not greater spread (b = -0.04; P = .54)., Conclusions: Value-based programs such as ACOs appear to encourage the adoption and spread of care coordination activities by hospitals.

Background: Patient falls in acute care hospitals represent a significant patient safety concern. Although cross-sectional studies have shown that fall rates vary widely between acute care hospitals, it is not clear whether hospital fall rates remain consistent over time., Purpose: The aim of this study was to determine whether hospitals can be categorized into fall rate trajectory groups over time and to identify nurse staffing and hospital characteristics associated with hospital fall rate trajectory groups., Methodology/approach: We conducted a 54-month (July 2006-December 2010) longitudinal study of U.S. acute care general hospitals participating in the National Database for Nursing Quality Indicators (2007). We used latent class growth modeling to categorize hospitals into groups based on their long-term fall rates. Nurse staffing and hospital characteristics associated with membership in the highest hospital fall rate group were identified using logistic regression., Findings: A sample of 1,529 hospitals (mean fall rate of 3.65 per 1,000 patient days) contributed data to the analysis. Latent class growth modeling findings classified hospital into three groups based on fall rate trajectories: consistently high (mean fall rate of 4.96 per 1,000 patient days), consistently medium (mean fall rate of 3.63 per 1,000 patient days), and consistently low (mean fall rate of 2.50 per 1,000 patient days). Hospitals with higher total nurse staffing (odds ratio [OR] = 0.92, 95% confidence interval [CI] [0.85, 0.99]), Magnet status (OR = 0.49, 95% CI [0.35, 0.70]), and bed size greater than 300 beds (OR = 0.70, 95% CI [0.51, 0.94]) were significantly less likely to be categorized in the "consistently high" fall rate group., Practice Implications: Over this 54-month period, hospitals were categorized into three groups based on long-term fall rates. Hospital-level factors differed among these three groups. This suggests that there may be hospitals in which "best practices" for fall prevention might be identified. In addition, administrators may be able to reduce fall rates by maintaining greater nurse staffing ratios as well as fostering an environment consistent with that of Magnet hospitals.

This study examines the impact of disenrolling from Medicaid/State Children's Health Insurance Programs (SCHIP) on health care utilization and expenditures among children using the 1996-2005 Medical Expenditure Panel Survey data. Changes in expenditures and utilization upon Medicaid/SCHIP disenrollment were examined for two disenrollment groups, children who became uninsured and those who transitioned to private insurance; relative to a control group, those continuously enrolled in Medicaid/SCHIP during the study period. In multivariate analysis, a modified two-part model and difference-in-difference analytic approach were used. The dependent variables were changes in total expenditures and changes in utilization (i.e., well-child visits, physician visits, emergency room visits, hospitalizations, and prescription drug use) from pre- to post-disenrollment round. This study found that losing Medicaid/SCHIP coverage is associated with decreased preventive care utilization among children, regardless of the insurance status post-disenrollment. In addition, children who become uninsured following Medicaid/SCHIP disenrollment may also experience reductions in physician visits and prescription drug use.

Cancer fatalism, which can be understood as the belief that cancer is a death sentence, has been found to be a deterrent to preventive cancer screening participation. This study examines factors associated with breast cancer fatalism among women. We analyzed data from a 2003 survey of women 40 years of age. The survey collected information about respondents' knowledge and attitudes regarding breast health. Analyses compared the characteristics of women who reported and those who did not report a fatalistic attitude. Women with a fatalistic attitude were more likely to be African American, to have a family history of breast cancer, to rate their quality of care as fair or poor, to believe that not much could be done to prevent breast cancer, to believe that breast cancer could not be cured if found early, and to believe that treatment could be worse than the disease.

Measurement of access to health care services is often limited to such variables as having health insurance or a usual source of care. We argue for an expanded definition of access measuring whether providers accept a particular form of insurance (overall accessibility), ease of contacting providers for appointments (contact accessibility), length of time it takes to get an appointment (appointment accessibility), and proximity of providers to patients (geographic accessibility). Interviewers posing as Medicaid beneficiaries telephoned providers in Florida's Medicaid primary care case management program, to determine whether the provider was accepting new patients, had weekend or evening hours, and how long it would take to get an appointment. Approximately 87% were accepting new patients, but only 68% were accepting new Medicaid patients. The survey also showed that beneficiaries may encounter difficulty in reaching physicians and making appointments: 22% of all calls were not answered on the first attempt and over two-thirds of providers had no weekend or evening hours.

Individuals living with intellectual and developmental disabilities face complex medical problems. Primary care physicians tend to provide basic medical care, serving as a base through which other forms of care can be accessed. In this study we describe patterns of primary care utilization among adults enrolled on the Florida Medicaid's Home and Community-Based Services Waiver. About 40% of the adults on the Waiver did not see a primary care provider between 1999 and 2003. Primary health care utilization was higher in the northern parts of Florida and conversely lower in the southeast. The establishment of a medical home can ensure the timely receipt of preventive care as well as help coordinate the complex care that many individuals with disabilities need.