In this public health practice vignette, we describe an ongoing community and system intervention to identify and address social determinants of health and related needs experienced by ChristianaCare patients and the greater community during the Coronavirus pandemic. This intervention, being conducted by the ChristianaCare Office of Health Equity, in partnership with ChristianaCare's embedded research institute, the Value Institute, and the Community Outreach and Education division of the Helen F. Graham Cancer Center and Research Institute, engages more than 25 community health workers, health Guides, Latinx health promoters and other social care staff as social first responders during the COVID-19 crisis. These experienced front-line social care staff screen patients and community members for social needs; make referrals to agencies and organizations for needed assistance (e.g., food, housing, financial assistance); assess people's understanding of COVID-19 and preventive measures; provide education about COVID-19; and, connect patients and community members to COVID-19 testing and any relevant clinical services. While this ongoing intervention is under evaluation, we share here some preliminary lessons-learned and discuss the critical role that social first responders can play in reducing the growing adverse social and health impacts of COVID-19 across the state of Delaware.
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Background: Opioid-related inpatient hospital stays are increasing at alarming rates. Unidentified and poorly treated opioid withdrawal may be associated with inpatients leaving against medical advice and increased health care utilization. To address these concerns, we developed and implemented a clinical pathway to screen and treat medical service inpatients for opioid withdrawal. Methods: The pathway process included a two-item universal screening instrument to identify opioid withdrawal risk (Opioid Withdrawal Risk Assessment [OWRA]), use of the validated Clinical Opiate Withdrawal Scale (COWS) to monitor opioid withdrawal symptoms and severity, and a 72-h buprenorphine/naloxone-based treatment protocol. Implementation outcomes including adoption, fidelity, and sustainability of this new pathway model were measured. To assess if there were changes in nursing staff acceptability, appropriateness, and adoption of the new pathway process, a cross-sectional survey was administered to pilot four hospital medical units before and after pathway implementation. Results: Between 2016 and 2018, 72.4% (77,483/107,071) of admitted patients received the OWRA screening tool. Of those, 3.0% (2,347/77,483) were identified at risk for opioid withdrawal. Of those 2,347 patients, 2,178 (92.8%) were assessed with the COWS and 29.6% (645/2,178) were found to be in active withdrawal. A total of 49.5% (319/645) patients were treated with buprenorphine/naloxone. Fifty-seven percent (83/145) of nurses completed both the pre- and post-pathway implementation surveys. Analysis of the pre/post survey data revealed that nurse respondents were more confident in their ability to determine which patients were at risk for withdrawal ( p = .01) and identify patients currently experiencing withdrawal ( p < .01). However, they cited difficulty working with the patient population and coordinating care with physicians. Conclusions: Our study demonstrates a process for successfully implementing and sustaining a clinical pathway to screen and treat medical service inpatients for opioid withdrawal. Standardizing care delivery for patients in opioid withdrawal can also improve nursing confidence when working with this complex population. Plain Language Summary: Opioid-related hospital stays are increasing at alarming rates. Unidentified and poorly treated opioid withdrawal may be associated with patients leaving the hospital against medical advice and increased health care utilization. To address the concerns surrounding an increase in admissions associated with unidentified or poorly treated opioid withdrawal, we developed and implemented a clinical pathway process to consistently screen and treat hospitalized patients for opioid withdrawal. We found that opioid withdrawal screening was successfully implemented and sustained over a 24-month evaluation period. We also found that standardizing care delivery for patients in opioid withdrawal improved nursing confidence when working with this patient population. A robust and ongoing education and training process is important for current staff to ensure knowledge does not erode over time and that training for new staff is embedded in the pathway process to maintain training consistency.
Context: Unmet legal needs can exacerbate health disparities and contribute to a lack of adherence to treatment plans and medical recommendations for care. Medical legal partnerships (MLPs) are integrated health care and legal aid interventions offered by many health systems in the United States. Although much research has been published regarding the success of MLPs with specific patient groups, there is a gap in literature regarding the nature of MLPs in a more general, at-risk patient population. Objective: We aimed to better understand specific patient characteristics and health outcomes associated with different iHELP legal needs. Design: This is a cross-sectional study of patients who were enrolled in the Delaware MLP (DMLP) from November 2018 to June 2020 (N = 212). Setting: The DMLP is a collaboration between ChristianaCare, a Mid-Atlantic health system, and the Community Legal Aid Society, Inc (CLASI). Participants: Patients must be adults (ie, 18 years or older), below 200% of the federal poverty level (eg, ≤$53 000 for a household of 4 as of 2021), have at least one qualifying legal need, and live in the state. Intervention: The DMLP is designed to address unmet legal needs that fall under a framework called iHELP. iHELP legal domains are income and insurance (i), housing and utilities (H), education and employment (E), legal status (L), and personal and family stability (P). Main Outcome Measures: Outcomes of interest were iHELP legal needs, patient demographics, perceived stress and mental and physical health-related quality of life, comorbidities, and health care utilization. Results: Housing and utilities (46.2%) and income support (41.5%) were the highest reported legal needs. Perceived stress scores were significantly higher for those with income needs (P = .01) as well as those with housing and utilities needs (P = .01). Conclusions: MLP programs offer a value-added service that can address unmet legal needs in vulnerable, at-risk patients.
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