Evidence map›Paper›PMID 21185682›Full record

ArticleJournal of substance abuse treatment2011

Predictors of substance abuse treatment need and receipt among homeless women.

Joan S Tucker, Suzanne L Wenzel, Daniela Golinelli, Annie Zhou, Harold D Green

Open access · greenAbstract read
In one paragraph

Article in Journal of substance abuse treatment, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.3field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 41 citations in OpenAlex.

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  15. Barriers to Psychosocial Services among Homeless Women Veterans.Journal of social work practice in the addictions · 2012
    Article
  16. The Perceived Stigma of Addiction and Treatment Utilization among Cannabis Addicts in Thailand.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

5 authors at 2 institutions in 1 country.

Joan S TuckerRAND Corporation, Santa Monica, CA 90407, USA. jtucker@rand.org
Suzanne L Wenzel
Daniela Golinelli
Annie Zhou
Harold D Green
RAND Corporation · USUniversity of Southern California · US

Funding

ALCOHOL USE AND HIV RISK AMONG IMPOVERISHED WOMENR01AA015301 · NIAAA · RAND CORPORATION · PI TUCKER, JOAN S · 2005 to 2008
$2.7M
NIAAA NIH HHS R01 AA015301NIAAA NIH HHS R01AA015301
6 · The paper itself

Abstract

Many homeless women do not receive needed treatment for substance abuse. This study identified social network and other predisposing factors associated with perceived need for and receipt of substance abuse treatment among 273 homeless women who screened positive for past-year substance abuse. Perceived treatment need was more likely among women with drug-using sex partners, a denser network, and an arrest history but less likely for those with a minor child and a longer history of homelessness. Receiving treatment was more likely among women who received informational support from their sex partners and who had an arrest history but less likely among those who had a more street-based social network, had a minor child, considered themselves homeless, and recently needed mental health treatment. Treatment services researchers should attend more closely to social contextual factors, as well as the more traditional individual factors, to understand access and barriers to treatment.

Indexed as

Health Services Needs and DemandSocial SupportAdultFemaleHealth Services AccessibilityHumansIll-Housed PersonsMass ScreeningMiddle AgedSexual PartnersSubstance-Related DisordersYoung Adult

Identifiers

PMID21185682
PMCPMC3056903
OpenAlexW1987686296

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.