Evidence map›Paper›PMID 30913002›Full record

ArticleSubstance abuse2019

The importance of identification when measuring performance in addiction treatment.

Deborah Garnick, Constance Horgan, Tami L Mark, Margaret Lee, Andrea Acevedo, Sarah Neager, Peggy O'Brien, Ali Hashmi, Bill Marder, Kay Miller

Abstract read
In one paragraph

Article in Substance abuse, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. 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

10 authors.

Deborah GarnickInstitute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts, USA.
Constance HorganInstitute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts, USA.
Tami L MarkRTI International, Rockville, Maryland, USA.
Margaret LeeInstitute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts, USA.
Andrea AcevedoDepartment of Community Health, Tufts University, Medford, Massachusetts, USA.
Sarah NeagerTruven Health Analytics Inc., IBM Watson Health, Cambridge, Massachusetts, USA.
Peggy O'BrienTruven Health Analytics Inc., IBM Watson Health, Cambridge, Massachusetts, USA.
Ali HashmiTruven Health Analytics Inc., IBM Watson Health, Cambridge, Massachusetts, USA.
Bill MarderTruven Health Analytics Inc., IBM Watson Health, Cambridge, Massachusetts, USA.
Kay MillerTruven Health Analytics Inc., IBM Watson Health, Cambridge, Massachusetts, USA.

Funding

Research Support CoreP30DA035772 · NIDA · BRANDEIS UNIVERSITY · PI Haiden A Huskamp, SHARON REIF · 2015 to 2026
$11.3M
Incentives and Alerts for Improving Performance in Washington StateR01DA033468 · NIDA · BRANDEIS UNIVERSITY · PI GARNICK, DEBORAH W. · 2012 to 2016
$2.0M
Washington Circle Performance Measures and Criminal Justice OutcomesR01AA017177 · NIAAA · BRANDEIS UNIVERSITY · PI GARNICK, DEBORAH W. · 2009 to 2011
$1.3M
NIAAA NIH HHS R01 AA017177NIDA NIH HHS P30 DA035772NIDA NIH HHS R01 DA033468
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Quality Indicators, Health CareAdolescentAdultCenters for Medicare and Medicaid Services, U.S.FemaleHealth Services AccessibilityHealth Services ResearchHealth SurveysHumansMaleMedicaidMental Health ServicesMiddle AgedNeeds AssessmentPatient ParticipationPrevalenceEngagementidentificationMedicaidperformancequality

Identifiers

PMID30913002
PMCPMC6763371

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.