Social Determinants of Health (SDOH)

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.

The goal of this project is to test a novel bedside SDOH screening intervention coupled with post-discharge navigation for hospitalized patients with a diabetes diagnosis to reduce unmet social needs, compared to usual care.

The goal of this clinical trial is to learn if a personalized prenatal support program \[(Personalized Toolkit Building a Comprehensive Approach to Resource optimization and Empowerment in Pregnancy \& Beyond, (PTBCARE+)\] works to lower stress and lower the risk of early delivery in pregnant individuals at high-risk for delivering preterm. The main question\[s\] it aims to answer are: * Does the PTBCARE+ patient support program lower patient-reported stress levels during pregnancy? * Does the PTBCARE+ patient support program improve biologic measures of stress during pregnancy? * Does the PTBCARE+ patient support program result in a higher chance of delivering a healthy baby at or close to full term? Researchers will compare people who participate in the PTBCARE+ patient support program to those receive usual care to see if the PTBCARE+ patient support program lowers patient-reported stress, improves biologic measures of stress, and increases the chance of delivering a healthy baby at or close to full term. Participants will be randomly assigned to receive the PTBCARE+ patient support program or usual prenatal care. All participants will be asked to: * complete 2 study visits during pregnancy - including completing electronic surveys, providing a blood and urine sample, measuring the heart rate variability by a clip or the ear or finger, and body composition evaluation using a simple scale-like device. * complete one study visit postpartum that includes completing electronic surveys, and measuring heart rate variability. Blood and urine sample collection and body composition evaluation via InBody scale are optional at the postpartum visit. People who are randomly assigned to receive the PTBCARE+ support program will receive several resources to help them during pregnancy. These things include items such as: * a stress reduction toolkit; * access to an online website that can also be downloaded as a smart phone app; * the option to receive an electronic massage while in clinic, and more. * additional support gifts provided at routine clinical appointments People who are randomly assigned to receive usual prenatal care will not receive any additional support resources from the study during pregnancy.

Mental health conditions occurring during pregnancy and up to one year postpartum (the perinatal period) occur in 1 in 5 perinatal individuals. To improve mental health care during the perinatal period, this study will implement and compare a health care model of improving mood and anxiety disorder care in practices with a health care-community partnership model. The study will include 32 perinatal care settings across the United States. Half of them will have the health care model, the other half will have the health care-community partnership model. The study is designed to answer the question, "Should states and healthcare systems put resources into a healthcare system approach or a healthcare-community partnership approach to mental health care?" The results of this study will help states and healthcare systems decide how to develop pathways for increasing access to mental health care for pregnant and postpartum individuals.

The goal of this clinical trial is to determine if artificial intelligence and machine learning (AI/ML) models can help address social needs in Medicaid enrollees. The main questions it aims to answer are: Can AI/ML models accurately identify social needs from administrative healthcare data? Can AI/ML models accurately predict which people will engage with social supports? Researchers will compare individuals who live in different regions to see if AI/ML models perform better than the status quo.

The purpose of this project is to improve perinatal health outcomes in Rhode Island by bringing together the hospital, community health workers (CHWs), doulas, and community-based organizations to build a service delivery model that addresses care coordination and social determinants of health (SDOH) as a part of a concerted effort towards achieving equitable perinatal health outcomes. Over 4 years, the hospital-led project team will implement the community-based maternal support services (COMSS) bundle in 6 affiliated clinics, including care coordination, doula care, and referrals and linkages to community-based organizations that address key SDOH (food, housing, transportation). Maternal and infant health outcomes will be compared pre and post program implementation. The central hypothesis is that COMSS will reduce adverse maternal and infant outcomes and associated racial disparities.

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.

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?

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.