Linked Life Data

10793516

Source:http://linkedlifedata.com/resource/pubmed/id/10793516

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2000-6-1
pubmed:abstractText
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.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1049-2089
pubmed:author
pubmed:issnType
Print
pubmed:volume
11
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
212-30
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Predicting health services utilization among homeless adults: a prospective analysis.
pubmed:affiliation
Department of Psychology, University of California, Los Angeles 90095-1563, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't