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The widespread adoption of science-based prevention requires local infrastructures for prevention service delivery. Communities That Care (CTC) is a tested prevention service delivery system that enables a local coalition of community stakeholders to use a science-based approach to prevention and improve the behavioral health of young people. This paper uses data from the Community Youth Development Study (CYDS), a community-randomized trial of CTC, to examine the extent to which better internal team functioning of CTC coalitions increases the community-wide adoption of science-based prevention within 12 communities, relative to 12 matched comparison communities. Specifically, this paper examines the potential of both a direct relationship between coalition functioning and the community-wide adoption of science-based prevention and a direct relationship between functioning and the coalition capacities that ultimately enable the adoption of science-based prevention. Findings indicate no evidence of a direct relationship between four dimensions of coalition functioning and the community-wide adoption of a science-based approach to prevention, but suggest a relationship between coalition functioning and coalition capacities (building new member skills and establishing external linkages with existing community organizations) that enable science-based prevention. [ABSTRACT FROM AUTHOR]

Background: Decision makers are increasingly tasked with reducing health care costs, but the public may be mistrustful of these efforts. Public deliberation helps gather input on these types of issues by convening a group of diverse individuals to learn about and discuss values-based dilemmas.Objective: To explore public perceptions of health care costs and how they intersect with medical mistrust.Design and Participants: This mixed-methods study analyzed data from a randomized controlled trial including four public deliberation groups (n = 96) and a control group (n = 348) comprising English-speaking adults aged 18 years and older. Data were collected in 2012 in four U.S. regions.Approach: We used data from four survey items to compare attitude shifts about costs among participants in deliberation groups to participants in the control group. We qualitatively analyzed deliberation transcripts to identify themes related to attitude shifts and to provide context for quantitative results about attitude shifts.Key Results: Deliberation participants were significantly more likely than control group participants to agree that doctors and patients should consider cost when making treatment decisions (β = 0.59; p < 0.01) and that people should consider the effect on group premiums when making treatment decisions (β = 0.48; p < 0.01). Qualitatively, participants mistrusted the health care system's profit motives (e.g., that systems prioritize making money over patient needs); however, after grappling with patient/doctor autonomy and learning about and examining their own views related to costs during the process of deliberation, they largely concluded that payers have the right to set some boundaries to curb costs.Conclusions: Individuals who are informed about costs may be receptive to boundaries that reduce societal health care costs, despite their mistrust of the health care system's profit motives, especially if decision makers communicate their rationale in a transparent manner. Future work should aim to develop transparent policies and practices that earn public trust. [ABSTRACT FROM AUTHOR]

Background: The healthcare system is ill-equipped to meet the needs of adults on the autism spectrum.Objective: Our goal was to use a community-based participatory research (CBPR) approach to develop and evaluate tools to facilitate the primary healthcare of autistic adults.Design: Toolkit development included cognitive interviewing and test-retest reliability studies. Evaluation consisted of a mixed-methods, single-arm pre/post-intervention comparison.Participants: A total of 259 autistic adults and 51 primary care providers (PCPs) residing in the United States.Interventions: The AASPIRE Healthcare toolkit includes the Autism Healthcare Accommodations Tool (AHAT)-a tool that allows patients to create a personalized accommodations report for their PCP-and general healthcare- and autism-related information, worksheets, checklists, and resources for patients and healthcare providers.Main Measures: Satisfaction with patient-provider communication, healthcare self-efficacy, barriers to healthcare, and satisfaction with the toolkit's usability and utility; responses to open-ended questions.Key Results: Preliminary testing of the AHAT demonstrated strong content validity and adequate test-retest stability. Almost all patient participants (>94 %) felt that the AHAT and the toolkit were easy to use, important, and useful. In pre/post-intervention comparisons, the mean number of barriers decreased (from 4.07 to 2.82, p < 0.0001), healthcare self-efficacy increased (from 37.9 to 39.4, p = 0.02), and satisfaction with PCP communication improved (from 30.9 to 32.6, p = 0.03). Patients stated that the toolkit helped clarify their needs, enabled them to self-advocate and prepare for visits more effectively, and positively influenced provider behavior. Most of the PCPs surveyed read the AHAT (97 %), rated it as moderately or very useful (82 %), and would recommend it to other patients (87 %).Conclusions: The CBPR process resulted in a reliable healthcare accommodation tool and a highly accessible healthcare toolkit. Patients and providers indicated that the tools positively impacted healthcare interactions. The toolkit has the potential to reduce barriers to healthcare and improve healthcare self-efficacy and patient-provider communication. [ABSTRACT FROM AUTHOR]

Background: Many Veterans treated within the VA Healthcare System (VA) are also enrolled in fee-for-service (FFS) Medicare and receive treatment outside the VA. Prior research has not accounted for the multiple ways that Veterans receive services across healthcare systems.Objective: We aimed to establish a typology of VA and Medicare utilization among dually enrolled Veterans with type 2 diabetes.Design: This was a retrospective cohort.Participants: 316,775 community-dwelling Veterans age ≥ 65 years with type 2 diabetes who were dually enrolled in the VA and FFS Medicare in 2008-2009.Methods: Using latent class analysis, we identified classes of Veterans based upon their probability of using VA and Medicare diabetes care services, including patient visits, laboratory tests, glucose test strips, and medications. We compared the amount of healthcare use between classes and identified factors associated with class membership using multinomial regression.Key Results: We identified four distinct latent classes: class 1 (53.9%) had high probabilities of VA use and low probabilities of Medicare use; classes 2 (17.2%), 3 (21.8%), and 4 (7.0%) had high probabilities of VA and Medicare use, but differed in their Medicare services used. For example, Veterans in class 3 received test strips exclusively through Medicare, while Veterans in class 4 were reliant on Medicare for medications. Living ≥ 40 miles from a VA predicted membership in classes 3 (OR 1.1, CI 1.06-1.15) and 4 (OR 1.11, CI 1.04-1.18), while Medicaid eligibility predicted membership in class 4 (OR 4.30, CI 4.10-4.51).Conclusions: Veterans with diabetes can be grouped into four distinct classes of dual health system use, representing a novel way to characterize how patients use multiple services across healthcare systems. This classification has applications for identifying patients facing differential risk from care fragmentation. [ABSTRACT FROM AUTHOR]

Background: This study aimed to develop and provide a psychometric and feasibility pilot evaluation of the Heart Failure (HF) Symptom Tracker (HFaST), a new patient-reported tool designed to facilitate communication between patients and health care providers (HCPs) in routine clinical care. The HFaST enables patients to identify worsening HF symptoms, with a long-term goal of preventing hospitalizations or emergency room visits. Methods: The HFaST was developed drawing on evidence from the literature, qualitatively with cognitive interviews (12 patient/caregiver and 8 HCPs), and evaluated quantitatively (psychometric, feasibility assessment). The HFaST was administered for 7 consecutive days to 100 individuals diagnosed with HF during a multisite, non-interventional US pilot study. Health care providers then completed a survey assessing the feasibility and importance of the HFaST in clinical practice. Qualitative development included a literature review and cognitive interviews with patients, caregivers, and HCPs. The psychometric properties of the HFaST were evaluated using classical test theory methods. Descriptive statistics provided insight into HCPs' perceptions of the feasibility of using the HFaST in clinical practice. Results: A preliminary set of 40 items was developed for the symptom tracker and iteratively reduced to 10 items based on the qualitative phase. Test-retest reliability (weighted kappa 0.71–0.97), discriminating validity, and construct validity of the HFaST were acceptable. HCPs rated the HFaST as a good (70%) or excellent (30%) means of tracking HF symptoms. Six HFaST items were ultimately retained, covering concepts of fatigue, shortness of breath (3 items), swelling, and rapid weight gain. Conclusions: The 6-item HFaST is an easy-to-use tool designed to raise patients' awareness of HF symptoms and facilitate communication with HCPs. Future research should evaluate HFaST implementation in clinical practice and effectiveness as an intervention to potentially prevent hospitalizations and emergency room visits. [ABSTRACT FROM AUTHOR]