Evidence map›Paper›PMID 24638120›Full record

ArticleMedical care2014

Profiting and providing less care: comprehensive services at for-profit, nonprofit, and public opioid treatment programs in the United States.

Marcus A Bachhuber, William N Southern, Chinazo O Cunningham

Abstract read
In one paragraph

Article in Medical care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Quality of primary care among individuals receiving treatment for opioid use disorder.Canadian family physician Medecin de famille canadien · 2019
    Article
  9. Article
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

3 authors.

Marcus A Bachhuber*Center for Health Equity Research and Promotion, Philadelphia Veterans Affairs Medical Center †Robert Wood Johnson Foundation Clinical Scholars Program ‡Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA §Department of Medicine, Division of Hospital Medicine ∥Department of Medicine, Division of General Internal Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY.
William N Southern
Chinazo O Cunningham

Funding

Core-010UL1TR001073 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, SHAMOON, HARRY · 2013 to 2017
$21.3M
Immunology/Pathology CoreP30AI051519 · NIAID · YESHIVA UNIVERSITY · PI GOLDSTEIN, HARRIS · 2003 to 2013
$18.6M
Abstinence Reinforcing Contingency Management to Suppress HIV Viral LoadR01DA032110 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI CUNNINGHAM, CHINAZO · 2011 to 2015
$3.6M
HIV and Substance Abuse Clinical Addiction Research and Education (CARE) ProgramR25DA023021 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI ARNSTEN, JULIA H. · 2007 to 2014
$2.7M
Mentoring researchers on drug abuse and HIVK24DA036955 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI CUNNINGHAM, CHINAZO · 2014 to 2019
$911k
Development of a community-based buprenorphine treatment interventionR34DA031066 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI CUNNINGHAM, CHINAZO · 2011 to 2013
$709k
NCATS NIH HHS UL1 TR001073NIAID NIH HHS AI-51519NIAID NIH HHS P30 AI051519NIDA NIH HHS K24 DA036955NIDA NIH HHS R01 DA032110NIDA NIH HHS R01DA032110NIDA NIH HHS R25 DA023021NIDA NIH HHS R25DA023021NIDA NIH HHS R34 DA031066NIDA NIH HHS R34DA031066
6 · The paper itself

Abstract

backgroundOpioid use disorders are frequently associated with medical and psychiatric comorbidities (eg, HIV infection and depression), as well as social problems (eg, lack of health insurance). Comprehensive services addressing these conditions improve outcomes.

objectiveTo compare the proportion of for-profit, nonprofit, and public opioid treatment programs offering comprehensive services, which are not mandated by government regulations. DESIGN, SETTING, AND

participantsCross-sectional analysis of opioid treatment programs offering outpatient care in the United States (n=1036).

main outcome measureSelf-reported offering of communicable disease (HIV, sexually transmitted infections, and viral hepatitis) testing, psychiatric services (screening, assessment and diagnostic evaluation, and pharmacotherapy), and social services support (assistance in applying for programs such as Medicaid). Mixed-effects logistic regression models were developed to adjust for several county-level factors.

resultsOf opioid treatment programs, 58.0% were for profit, 33.5% were nonprofit, and 8.5% were public. Nonprofit programs were more likely than for-profit programs to offer testing for all communicable diseases [adjusted odds ratios (AOR), 1.7; 95% confidence interval (CI), 1.2, 2.5], all psychiatric services (AOR, 8.0; 95% CI, 4.9, 13.1), and social services support (AOR, 3.3; 95% CI, 2.3, 4.8). Public programs were also more likely than for-profit programs to offer communicable disease testing (AOR, 6.4; 95% CI, 3.5, 11.7), all psychiatric services (AOR, 25.8; 95% CI, 12.6, 52.5), and social services support (AOR, 2.4; 95% CI, 1.4, 4.3).

conclusionsFor-profit programs were significantly less likely than nonprofit and public programs to offer comprehensive services. Interventions to increase the offering of comprehensive services are needed, particularly among for-profit programs.

Indexed as

Cross-Sectional StudiesHepatitisMental Health ServicesOpioid-Related DisordersOrganizations, NonprofitPrivate SectorPublic SectorQuality of Health CareSexually Transmitted DiseasesSocial WorkSubstance Abuse Treatment CentersUnited States

Identifiers

PMID24638120
PMCPMC4277871

What OpenQuestion holds

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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.