Evidence map›Paper›PMID 24772692›Full record

ArticleJournal of health and human services administration2014

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

Erlyana Erlyana, Dennis G Fisher, Grace L Reynolds, Michael Jansen

Open access · greenAbstract read
In one paragraph

Article in Journal of health and human services administration, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Erlyana Erlyana
Dennis G Fisher
Grace L Reynolds
Michael Jansen

Funding

RIMI-CSULBP20MD003942 · NIMHD · CALIFORNIA STATE UNIVERSITY LONG BEACH · PI CONOLEY, JANE CLOSE · 2009 to 2013
$4.6M
Supplement to Behavioral Science AspectsR01DA030234 · NIDA · CALIFORNIA STATE UNIVERSITY LONG BEACH · PI FISHER, DENNIS G · 2010 to 2013
$1.8M
NIDA NIH HHS R01 DA030234NIMHD NIH HHS P20 MD003942
6 · The paper itself

Abstract

Timely provision of medical services among communities at increased risk of HIV infection is crucial to detect the infection and to further prevent the spread of HIV. In the US, about one third of HIV cases were identified in the later stage of infection. The current study utilized the Gelberg-Andersen behavioral model for predicting medical service use among people who were at risk of HIV infection. The candidate variables included: social support, attitudinal, and behavioral variables. The data were collected from clients of HIV prevention agencies in Los Angeles County in 2004 who participated in the Countywide Risk Assessment Survey (CRAS). Using a logistic regression model, the study suggested that factors that were positively associated with use of medical services included living in a treatment center/halfway house or mission/shelter, experience of physical/sexual abuse, and ever receiving HIV testing/counseling. Factors inversely associated with medical service use were male gender, education, and consumption of alcohol. Analysis was conducted using SAS 9.3. Most of the findings are consistent with the Gelberg-Andersen model. The exception was that victims of physical or sexual abuse were more likely to use services instead of less likely as predicted by the model.

Indexed as

Health Knowledge, Attitudes, PracticeSocial SupportFemaleHealth ServicesHIV InfectionsHousingHumansLos AngelesMalePatient ComplianceRisk AssessmentRisk-TakingSex FactorsSexual BehaviorSocioeconomic FactorsSubstance-Related Disorders

Identifiers

PMID24772692
PMCPMC4494647
OpenAlexW2470934937

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.