Evidence map›Paper›PMID 23453481›Full record

ArticleJournal of substance abuse treatment2013

Identifying the substance abuse treatment needs of caregivers involved with child welfare.

Emmeline Chuang, Rebecca Wells, John Bellettiere, Theodore P Cross

Abstract read
In one paragraph

Article in Journal of substance abuse treatment, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.3field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 44 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Emmeline ChuangGraduate School of Public Health, San Diego State University, 5500 Campanile Dr. San Diego, CA 92182-4162, USA. echuang@mail.sdsu.edu
Rebecca Wells
John Bellettiere
Theodore P Cross
San Diego State University · USUniversity of Illinois Urbana-Champaign · USUniversity of North Carolina at Chapel Hill · US

Funding

Treatment access for families: An application of QCA and regression techniquesR03DA032863 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHUANG, EMMELINE · 2012 to 2013
$165k
NIDA NIH HHS 1 R03 DA032863-01NIDA NIH HHS R03 DA032863
6 · The paper itself

Abstract

Parental substance use significantly increases risk of child maltreatment, but is often under-identified by child protective services. This study examined how agency use of standardized substance use assessments and child welfare investigative caseworker education, experience, and caseload affected caseworkers' identification of parental substance abuse treatment needs. Data are from a national probability sample of permanent, primary caregivers involved with child protective services whose children initially remained at home and whose confidential responses on two validated instruments indicated harmful substance use or dependence. Investigative caseworkers reported use of a formal assessment in over two thirds of cases in which substance use was accurately identified. However, weighted logistic regression indicated that agency provision of standardized assessment instruments was not associated with caseworker identification of caregiver needs. Caseworkers were also less likely to identify substance abuse when their caseloads were high and when caregivers were fathers. Implications for agency practice are discussed.

Indexed as

CaregiversChildChild Health ServicesChild WelfareData CollectionFemaleHealth Services Needs and DemandHumansLogistic ModelsMaleParentsSocial WorkSubstance-Related DisordersWorkload

Identifiers

PMID23453481
PMCPMC3642224
OpenAlexW2091198915

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.