Evidence map›Paper›PMID 23855724›Full record

ArticleHealth services research2014

HIV testing in the nation's opioid treatment programs, 2005-2011: the role of state regulations.

Thomas D'Aunno, Harold A Pollack, Lan Jiang, Lisa R Metsch, Peter D Friedmann

Abstract read
In one paragraph

Article in Health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
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

27 citing papers in PubMed.

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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.

Thomas D'AunnoMailman School of Public Health, Columbia University, 600W. 168th St., New York, NY, 10032.
Harold A Pollack
Lan Jiang
Lisa R Metsch
Peter D Friedmann

Funding

Testing a Comprehensive Model of the Diffusion of Evidence-Based PracticesR01DA030459 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI D'AUNNO, THOMAS · 2011 to 2012
$926k
NIDA NIH HHS 1R01DA030459NIDA NIH HHS R01 DA030459
6 · The paper itself

Abstract

objectiveTo identify the extent to which clients in a national sample of opioid treatment programs (OTPs) received HIV testing in 2005 and 2011; to examine relationships between state laws for informed consent and pretest counseling and rates of HIV testing among OTP clients. DATA SOURCE: Data were collected from a nationally representative sample of OTPs in 2005 (n = 171) and 2011 (n = 200). STUDY

designRandom-effects logit and interval regression analyses were used to examine changes in HIV testing rates and the relationship of state laws to HIV testing among OTPs. DATA COLLECTION: Data on OTP provision of HIV testing were collected in phone surveys from OTP managers; data also were collected on state laws for HIV testing. PRINCIPAL

findingsThe percentage of OTPs offering HIV testing decreased significantly from 93 percent in 2005 to 64 percent in 2011. Similarly, the percentage of clients tested decreased from an average of 41 percent in 2005 to 17 percent in 2011. OTPs located in states whose laws do not require pretest counseling and that use opt-out consent were more likely to provide HIV testing and to test higher percentages of clients.

conclusionsThe results show the need to increase HIV testing among OTP clients; the results also underscore the beneficial possibilities of dropping pretest counseling as a requirement for HIV testing and of using the opt-out approach to informed consent for testing.

Indexed as

BuprenorphineData CollectionFemaleHealth Services ResearchHIV InfectionsHumansMaleMass ScreeningNarcotic AntagonistsOpioid-Related DisordersPatient Acceptance of Health CareSubstance Abuse Treatment CentersUnited StatesBuprenorphineNarcotic Antagonistshealth policyHIV/AIDSHIV testingopioid treatmentorganizational factorsstate regulation

Identifiers

PMID23855724
PMCPMC3839251

What OpenQuestion holds

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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.