Browsing by Author "Sanner, Lindsey M."

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    Effectiveness of a clinical decision support system with prediction modeling to identify patients with health-related social needs in the emergency department: Study protocol
    (Public Library of Science, 2025-05-12) Mazurenko, Olena; Harle, Christopher A.; Blackburn, Justin; Menachemi, Nir; Hirsh, Adam; Grannis, Shaun; Boustani, Malaz; Musey, Paul I., Jr.; Schleyer, Titus K.; Sanner, Lindsey M.; Vest, Joshua R.; Health Policy and Management, Richard M. Fairbanks School of Public Health
    Introduction: Health-related social needs (HRSNs) encompass various non-medical risks from a patient's life circumstances. The emergency department (ED) is a crucial yet challenging setting for addressing patient HRSNs, a clinical decision support (CDS) intervention could assist in identifying patients at high risk of having HRSNs. This project aims to implement and evaluate a CDS intervention that offers ED clinicians risk prediction scores to determine which patients will likely screen positive for one or more HRSNs. Materials & methods: The FHIR-based CDS intervention, implemented in the ED setting of a health system in Indianapolis, Indiana, will use health information exchange data to generate logit-derived probability scores that estimate an adult patient's likelihood of screening positive for each of the following HRSNs: housing instability, food insecurity, transportation barriers, financial strain, and history of legal involvement. For each HRSN, ED clinicians will have access to the patient's likelihood of screening positive categorized as "high," "medium," or "low" based on tertiles in the distribution of each likelihood score. Clinician participation in the CDS will be voluntary. The intervention's effects will be assessed using a difference-in-difference approach with a pre-post design and a propensity-matched comparison group of ED patients from the same metropolitan area. Outcomes of interest include whether a formal HRSN screening was conducted, whether a referral was made to an HRSN service provider (e.g., social worker), and whether a repeat ED revisit (at 3, 7, and 30 days) or primary care follow-up (within 7 days) occurred. Discussion: Efficiently and accurately identifying patients with HRSNs could help link them to needed services, improving outcomes and reducing healthcare costs. This protocol will contribute to a growing body of research on the role of CDS interventions in facilitating improved screenings and referrals for HRSNs.
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    Social Determinants of Health and Their Impact on Mental Health and Substance Misuse
    (The Center for Health Policy, 2020-01-01) Sanner, Lindsey M.; Greene, Marion S.
    Health and wellbeing are shaped by many factors beyond healthcare and behavioral choices, including conditions that make up our social, economic, and physical environments. These factors are often referred to as social determinants of health (SDoHs). SDoHs not only affect our physical health, but they also can have an impact on a person’s mental wellbeing and substance use. These social determinants of health can be grouped into five major categories: 1. Neighborhood and built environment 2. Health and healthcare 3. Social and community context 4. Education 5. Economic stability To address SDoHs effectively, a “health in all policies” approach that integrates health considerations into policymaking across sectors is essential.