Evidence map›Paper›PMID 28847452›Full record

ArticleJournal of substance abuse treatment2017

Monetary conversion factors for economic evaluations of substance use disorders.

Kathryn McCollister, Xuan Yang, Bisma Sayed, Michael T French, Jared A Leff, Bruce R Schackman

Open access · bronzeAbstract read
In one paragraph

Article in Journal of substance abuse treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
30.4field-weighted citation impact, top 1% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Interventions for female drug-using offenders.The Cochrane database of systematic reviews · 2019
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  17. Cost-effectiveness of Hepatitis C Virus Treatment Models for People Who Inject Drugs in Opioid Agonist Treatment Programs.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  18. Motivation to Change and Treatment Participation Among Syringe Service Program Utilizers in Rural Kentucky.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2020
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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

6 authors at 2 institutions in 1 country.

Kathryn McCollisterDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Soffer Clinical Research Center, Suite 1019, 1120 NW 14th Street, Miami, FL 33136, USA. Electronic address: kmccolli@miami.edu.
Xuan YangDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Soffer Clinical Research Center, Suite 1019, 1120 NW 14th Street, Miami, FL 33136, USA. Electronic address: xxy100@med.miami.edu.
Bisma SayedDepartment of Sociology and Health Economics Research Group, University of Miami, 5665 Ponce de Leon Boulevard, Flipse Building, Room 122, P.O. Box 248251, Coral Gables, FL 33124, USA. Electronic address: bsayed@mail.as.miami.edu.
Michael T FrenchDepartment of Health Sector Management and Policy, Department of Sociology, University of Miami, School of Business Administration, P.O. Box 248027, Coral Gables, FL 33124, USA. Electronic address: mfrench@miami.edu.
Jared A LeffDepartment of Healthcare Policy & Research, Weill Cornell Medical College, 425 E 61st Street, Suite 301, New York, NY 10065, USA. Electronic address: jal2033@med.cornell.edu.
Bruce R SchackmanDepartment of Healthcare Policy & Research, Weill Cornell Medical College, 425 E 61st Street, Suite 301, New York, NY 10065, USA. Electronic address: brs2006@med.cornell.edu.
University of Miami · USCornell University · US

Funding

The Florida Node Alliance of the National Drug Abuse Treatment Clinical Trials NetworkUG1DA013720 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Daniel J Feaster, Viviana Elizabeth Horigian · 2015 to 2026
$50.6M
Utilization of health services after engagement with opioid use disorder (OUD) treatment provider by individuals with and without post-traumatic stress disorderP30DA040500 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Bruce R Schackman · 2015 to 2026
$20.7M
Economic Evaluation of Medication-Assisted Substance Abuse TreatmentR01DA035808 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI SCHACKMAN, BRUCE R · 2014 to 2017
$1.6M
NIDA NIH HHS P30 DA040500NIDA NIH HHS R01 DA035808
6 · The paper itself

Abstract

aimsEstimating the economic consequences of substance use disorders (SUDs) is important for evaluating existing programs and new interventions. Policy makers in particular must weigh program effectiveness with scalability and sustainability considerations in deciding which programs to fund with limited resources. This study provides a comprehensive list of monetary conversion factors for a broad range of consequences, services, and outcomes, which can be used in economic evaluations of SUD interventions (primarily in the United States), including common co-occurring conditions such as HCV and HIV.

methodsEconomic measures were selected from standardized clinical assessment instruments that are used in randomized clinical trials and other research studies (e.g., quasi-experimental community-based projects) to evaluate the impact of SUD interventions. National datasets were also reviewed for additional SUD-related consequences, services, and outcomes. Monetary conversion factors were identified through a comprehensive literature review of published articles as well as targeted searches of other sources such as government reports.

resultsEight service/consequence/outcome domains were identified containing more than sixty monetizable measures of medical and behavioral health services, laboratory services, SUD treatment, social services, productivity outcomes, disability outcomes, criminal activity and criminal justice services, and infectious diseases consequences. Unit-specific monetary conversion factors are reported, along with upper and lower bound estimates, whenever possible.

conclusionsHaving an updated and standardized source of monetary conversion factors will facilitate and improve future economic evaluations of interventions targeting SUDs and other risky behaviors. This exercise should be repeated periodically as new sources of data become available to maintain the timeliness, comprehensiveness, and quality of these estimates.

Indexed as

AdultCommunicable DiseasesCost-Benefit AnalysisCosts and Cost AnalysisFemaleHealth ServicesHumansMaleSubstance-Related DisordersCost-benefit analysisCost-effectiveness analysisEconomic consequencesEconomic evaluationMonetary conversion factorsSubstance use disorders

Identifiers

PMID28847452
PMCPMC5654317
OpenAlexW2735354337

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.