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Background: Stroke is the fifth leading cause of death in the United States. It is also a leading cause of disability. More than 70% of people who survive strokes have mental impairment or dementia. Medical factors, such as the severity of the stroke, affect whether a person will have mental impairment afterward. But social factors, such as education and ethnicity, seem to play a role as well. Researchers want to learn more about how social and lifestyle factors affect a person s chances of maintaining mental functions after a stroke. Objective: To better understand how social and lifestyle factors affect the risk of mental impairment after a stroke. Eligibility: People aged 18 years and older who had a stroke and a brain scan while they were enrolled in NIH Study 01N0007 (Natural History of Stroke Study). Design: Participants will have 1 study visit, by telephone. The call will last about 45 minutes. Participants will talk about their health since their stroke. They will answer questions about themselves. Topics will include: * Their race * Education * Ethnicity * Employment * Marital status * Residence address * Recent health history * Medical insurance They will have tests of their memory, attention, and language skills. They will repeat numbers and words forward and backward. Researchers will look at the data and imaging scans collected during participant s enrollment in NIH Study 01N0007. This data will include: * The hospital that first saw the participant at the time of their stroke. * The type of imaging that was first used then. * The primary diagnosis at admission. * Other medical details.
The e-SINCERE study will evaluate whether providing stable cell phones and digital navigation assistance helps patients overcome ICT barriers and connect more successfully with community services. The study will begin with patients in the UHealth ED, with additional sites added in the future, and will involve working with community service providers and policy leaders to refine and implement the intervention. Findings from this study may guide the development of future programs and policies to improve access to services for patients facing economic and technological barriers.
The overarching goal of this proposal is to integrate patient social risk information into an existing electronic health record (EHR)-based clinical decision support (CDS) tool (CDSv1) to facilitate emergency department (ED)-initiated, social risk-informed opioid use disorder (OUD) medication treatment and ultimately improve treatment adherence and follow up. The investigators will evaluate the feasibility and acceptability of the social care-enhanced CDS tool, CDSv2, (compared to CDSv1) at a single study site (UCSF) as an intervention to increase medication treatment adherence and follow up for adult ED patients experiencing opioid use disorder using a mixed-methods, before-after approach.
Cardiovascular disease (CVD) disproportionately affects racial/ethnic minorities and underserved populations in Philadelphia. This study aims to evaluate the effectiveness of an enhanced community health worker (CHW) program that combines the evidence-based DECIDE self-management intervention with structured CHW consultations to improve CVD self-management skills and address social needs. Using a Type 1 Hybrid Effectiveness-Implementation Design, we will recruit 500 Philadelphia residents aged 35-75 with CVD risk factors and unmet social needs. Participants will be offered the DECIDE+ intervention (9 bi-weekly group sessions plus alternating CHW consultations) or continue with standard CHW services. The primary outcome is CVD self-management skills measured by the Self-care of Chronic Illness Inventory Maintenance scale. Secondary outcomes include health behaviors and resolution of social needs. Implementation outcomes will assess CHW experiences, community advisory council impact, and factors influencing participation. Propensity score methods will be used to compare changes in outcomes between DECIDE+ participants and those receiving standard CHW services. Mediation analyses will examine pathways through problem-solving skills, self-efficacy, and social needs resolution. Mixed methods will evaluate implementation outcomes. This study will provide evidence on the effectiveness of integrating an evidence-based self-management program with CHW services to address both clinical and social needs. This study has the potential to generate important and impactful findings that can advance health equity and the science of effective community health worker programs. By rigorously evaluating the real-world implementation of a city-wide CHW-delivered chronic disease self-management program that also addresses collaborative approaches and support to addressing social needs, our findings can provide a roadmap for other communities looking to implement evidence-based interventions to reduce health disparities. Demonstrating improved CVD self-management behaviors and reduced social needs among Philadelphia residents receiving the DECIDE+ intervention would provide compelling evidence for the synergistic benefit of these services, and to sustain and scale up this model. OBJECTIVES: We propose both effectiveness and implementation questions to guide our work: Effectiveness of CHW Engagement: 1. Is the DECIDE intervention with CHW consultations (DECIDE+) effective in improving CVD self-management skills compared to the standard and limited CHW engagement? 1. Do DECIDE+ sessions improve CVD self-management skills by strengthening problem solving and self-efficacy? 2. Does participation in CHW consultations improve CVD self-management skills by meeting social needs? Implementation Questions: 2. What key sociodemographic and psychosocial factors influence client participation in the study? 3. How do CHWs perceive the impact of facilitator training on their a.) knowledge, attitudes and practices in supporting clients b.) personal health management, and c.) job satisfaction? 4. How does the CAC facilitate resource mobilization to enhance access to services that address social needs in Philadelphia's communities?
This study integrates technology-based adherence measures with alerts for social and behavioral determinants of health (SBDOH) to improve HIV treatment outcomes. It involves 110 adult patients from a Los Angeles County HIV clinic, focusing on those at risk for poor adherence. Participants will be randomized into intervention or usual care groups, with endpoints including intervention acceptability, SBDOH interventions, adherence to ART, viral load, and high-risk sexual activity. The study aims to assess the effectiveness of the integrated intervention in improving adherence, virologic outcomes, and reducing high-risk behavior among PLWH.
The goal of this mixed-methods study is to assess the impact of a Community Health Worker (CHW)-led social risk screening and referral in improving management of uncontrolled diabetes (DM) and hypertension (HTN) among patients receiving care in community health centers (CHCs or health centers). The intervention is focused on adult health center patients with uncontrolled DM and/or HTN. Study findings will provide important evidence to guide CHCs in implementing programs to address social risks in their patient populations. Findings will illuminate whether and how CHW-led interventions to address social needs yield the hypothesized outcomes. The aims of the study are: * AIM 1: Measure how effective the CHW-led social risk program is at reducing blood sugar levels (A1C) in CHC patients with uncontrolled DM and lowering blood pressure in CHC patients with uncontrolled HTN. * AIM 2: Identify effective strategies for increasing and expanding CHW-led social risk programs.
This is a pragmatic randomized control trial to evaluate the BETTER intervention compared to standard obstetrical care (control) to determine whether it helps to reduce maternal anemia and other adverse pregnancy outcomes. The BETTER intervention includes one motivational interviewing session and bi-weekly text messages to encourage patients to connect with resources that address their social needs, including housing, food, and transportation. Quantitative data will be used to study participant outcomes, including surveys, and electronic health record data.