Literature DB >> 10793516

Predicting health services utilization among homeless adults: a prospective analysis.

J A Stein1, R M Andersen, P Koegel, L Gelberg.   

Abstract

This study expands on the Andersen-Newman health services utilization (HSU) model. In a community-based homeless sample (n = 363) baseline predisposing, enabling, and needs-based variables predicted hospitalization and ambulatory outpatient service utilization within 1 year after baseline. Standard predisposing and enabling variables were supplemented with latent constructs representing substance use, mental illness, poor housing status, social support, community support, and barriers to health care. Need is represented by baseline health status. Poor physical health, more barriers, drug use, African American ethnicity, less community support, and less education predicted hospitalization, the least desirable form of HSU. Poor health, female gender, a regular source of care, community support, drug use, and fewer alcohol problems predicted an office visit. Because outpatient visits for acute conditions provide an opportunity for generally neglected preventive services and health screenings, this study suggests convenient multiservice health-related programs for the homeless that include drug and alcohol treatment.

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Mesh:

Year:  2000        PMID: 10793516     DOI: 10.1353/hpu.2010.0675

Source DB:  PubMed          Journal:  J Health Care Poor Underserved        ISSN: 1049-2089


  22 in total

1.  Racial and ethnic service use disparities among homeless adults with severe mental illnesses receiving ACT.

Authors:  Marcela Horvitz-Lennon; Dongli Zhou; Sharon-Lise T Normand; Margarita Alegría; Wes K Thompson
Journal:  Psychiatr Serv       Date:  2011-06       Impact factor: 3.084

2.  Self-reported comorbidities, perceived needs, and sources for usual care for older and younger homeless adults.

Authors:  Brian Garibaldi; Alicia Conde-Martel; Thomas P O'Toole
Journal:  J Gen Intern Med       Date:  2005-08       Impact factor: 5.128

3.  Factors associated with HIV viral load in a respondent driven sample in Los Angeles.

Authors:  William D King; Sherry Larkins; Christopher Hucks-Ortiz; Pin-Chieh Wang; Pamina M Gorbach; Rose Veniegas; Steven Shoptaw
Journal:  AIDS Behav       Date:  2007-12-07

4.  Impact of health insurance status and a diagnosis of serious mental illness on whether chronically homeless individuals engage in primary care.

Authors:  Lydia Chwastiak; Jack Tsai; Robert Rosenheck
Journal:  Am J Public Health       Date:  2012-10-18       Impact factor: 9.308

5.  Impact of hepatitis B and C infection on health services utilization in homeless adults: a test of the Gelberg-Andersen Behavioral Model for Vulnerable Populations.

Authors:  Judith A Stein; Ronald M Andersen; Marjorie Robertson; Lillian Gelberg
Journal:  Health Psychol       Date:  2011-05-16       Impact factor: 4.267

6.  Moving Beyond Housing: Service Implications for Veterans Entering Permanent Supportive Housing.

Authors:  Taylor Harris; Hailey Winetrobe; Harmony Rhoades; Carl Andrew Castro; Suzanne Wenzel
Journal:  Clin Soc Work J       Date:  2018-01-22

7.  Medical service use among individuals receiving HIV prevention services in Los Angeles County.

Authors:  Erlyana Erlyana; Dennis G Fisher; Grace L Reynolds; Michael Jansen
Journal:  J Health Hum Serv Adm       Date:  2014

8.  Health care for homeless women.

Authors:  Joy H Lewis; Ronald M Andersen; Lillian Gelberg
Journal:  J Gen Intern Med       Date:  2003-11       Impact factor: 5.128

9.  A randomized control trial of a chronic care intervention for homeless women with alcohol use problems.

Authors:  Carole Upshur; Linda Weinreb; Monica Bharel; George Reed; Christine Frisard
Journal:  J Subst Abuse Treat       Date:  2014-11-21

10.  Secondary surge capacity: a framework for understanding long-term access to primary care for medically vulnerable populations in disaster recovery.

Authors:  Jennifer Davis Runkle; Amy Brock-Martin; Wilfried Karmaus; Erik R Svendsen
Journal:  Am J Public Health       Date:  2012-10-18       Impact factor: 9.308

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