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Assessing the Utility of a Population Segmentation Tool to Determine Medical Vulnerability Among Adults Experiencing Homelessness

Bibliographic Data

ID9104702
AuthorsConnor Drake (0000-0002-5393-6246, Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care, Durham, NC, corresponding author), Abigail Rader (0000-0002-6315-9129, Department of Population Health Sciences, Duke University School of Medicine, Durham, NC), Erica Langan (0000-0001-8243-3763, Duke University), Julia A Gamble (0000-0001-7486-757X, Duke University), Julia Gamble (Duke University School of Nursing, Durham, NC), David B Matchar (0000-0003-3020-2108, Duke University), David Matchar (Department of Medicine, Duke University School of Medicine, Durham, NC), Rakhi Vashishtha (0000-0002-1890-7765, National University of Singapore, corresponding author), Daniel Hatch (0000-0003-0220-7059, Duke University School of Nursing, Durham, NC), Alex Cho (Department of Medicine, Division of General Internal Medicine, Duke University School of Medicine, Durham, NC), Donna J Biederman (0000-0001-8957-1296, Duke University School of Nursing, Durham, NC)
Year2026
Volume64
Issue6
Pages361-367
Publication date2026-03-27
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000002312
PMID41891422
OpenAlexW7141014892
LanguageEN
References cited18

BACKGROUND: Patients experiencing homelessness (PEH) have intersecting medical, social, and behavioral needs. To meet their needs, promising medical respite and integrated care models have been developed. The use of validated population segmentation screening tools is paramount for equitable triage and tailored service delivery. The Simple Segmentation Tool (SST), consisting of global impression categories (GI) and complicating factors (CFs), was developed to identify health and social service needs for whole-person care planning but has not been used to assess medical vulnerability among PEH. OBJECTIVE: Evaluate the association between SST scores and medical vulnerability among PEH. DESIGN: Retrospective cohort study conducted between November 2018 and November 2020 of a medical respite program using electronic health record (EHR) data. PARTICIPANTS: PEH referred to a transitional care program in the southeastern United States. MAIN MEASURES: We describe GI categories and CFs as the independent variables of interest and report their unadjusted and adjusted relationship using a Poisson regression modeling approach with outcomes of interest including bed days, emergency department (ED) visits, inpatient and observation admissions, and Elixhauser comorbidity index score after adjusting for demographic characteristics. RESULTS: Among 267 adults (mean age 51.2, 72% African American, 70.8% male), in an adjusted model, the presence of CFs was associated with a higher number of hospital stays, ED visits, and inpatient admissions. GI scores were associated with higher rates of bed days, ED visits, and Elixhauser conditions but lower observation admissions. CONCLUSION: SST scores were associated with utilization patterns and comorbidity burden after adjusting for age, gender, and race among an adult population experiencing homelessness. These findings suggest that the SST may be a preferable assessment than existing triage tools to objectively capture medical vulnerability and support care planning

Comorbidity · Emergency department · Health care · Medical record · Poisson regression · Population · Respite care · Triage · Vulnerability (computing) · Food Security and Health in Diverse Populations · Homelessness and Social Issues · Social Work Education and Practice

  • The health of homeless people in high-income countries

    Open Access•Seena Fazel, John R Geddes et al.•The Lancet•2014

  • Invisible intersectionality in measuring vulnerability among individuals experiencing homelessness – critically appraising the VI-SPDAT

    Courtney Cronley•Journal of Social Distress and…•2022

  • Reliability and validity of the Vulnerability Index-Service Prioritization Decision Assistance Tool (VI-SPDAT) in real-world implementation

    Molly Brown, Camilla Cummings et al.•Journal of Social Distress and…•2018

  • Comorbidity Measures for Use with Administrative Data

    Anne Elixhauser, Claudia Steiner et al.•Medical Care•1998

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