Evidence map›Paper›PMID 20680676›Full record

Trial reportAdministration and policy in mental health2011

Randomized trial of enhanced profiling in substance abuse treatment.

Marilyn Daley, Donald S Shepard, Christopher Tompkins, Robert Dunigan, Sharon Reif, Jennifer Perloff, Lauren Siembab, Constance Horgan

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Administration and policy in mental health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

8 authors.

Marilyn DaleySchneider Institutes for Health Policy, Heller School for Social Policy and Management, Brandeis University, 415 South Street, Waltham, MA 02454-9110, USA.
Donald S Shepard
Christopher Tompkins
Robert Dunigan
Sharon Reif
Jennifer Perloff
Lauren Siembab
Constance Horgan

Funding

Substance Abuse Treatment Pathways for Employee GroupsP50DA010233 · NIDA · BRANDEIS UNIVERSITY · PI HORGAN, CONSTANCE M. · 1995 to 2008
$6.8M
NIDA NIH HHS P50 DA010233
6 · The paper itself

Abstract

A randomized trial of substance abuse treatment programs tested whether "enhanced profiles," consisting of feedback and coaching about performance indicators, improved the performance of residential, methadone, and detoxification programs. These enhanced profiles were reviewed during quarterly on-site visits between October 2005 and July 2007. The performance indicators were the percentage of clients completing referrals to a lower level of care, and the percentage of clients admitted to a higher level of care within 30 days of discharge. Control programs received only "basic profiles," consisting of emailed quarterly printouts of these performance indicators. Effectiveness was evaluated using hierarchical linear models with client-level information nested within agencies and regions of the state. Treatment programs receiving enhanced profiles (n = 74) did not perform significantly differently from those receiving only basic profiles (n = 29) on either performance measure. To improve performance, interventions with greater scope and incentives may be needed.

Indexed as

Continuity of Patient CareHumansMedical AuditMental Health ServicesMethadoneOpiate Substitution TreatmentOutcome Assessment, Health CarePatient ReadmissionQuality Indicators, Health CareQuality of Health CareSubstance Abuse Treatment CentersSubstance-Related DisordersMethadone

Identifiers

PMID20680676
PMCPMC3040276

What OpenQuestion holds

Textmetadata
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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.