Evidence map›Paper›PMID 25671499›Full record

SynthesisSubstance abuse2015

Defining Nonmedical Use of Prescription Opioids Within Health Care Claims: A Systematic Review.

Gerald Cochran, Bongki Woo, Wei-Hsuan Lo-Ciganic, Adam J Gordon, Julie M Donohue, Walid F Gellad

Abstract readSystematic Review
In one paragraph

Synthesis in Substance abuse, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Automatable algorithms to identify nonmedical opioid use using electronic data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2017
    Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Algorithms to Identify Nonmedical Opioid Use.Current pain and headache reports · 2023
    Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Barriers to accurately assessing prescription opioid misuse on surveys.The American journal of drug and alcohol abuse · 2019
    Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Gerald Cochrana School of Social Work, University of Pittsburgh , Pittsburgh , Pennsylvania , USA.
Bongki Woo
Wei-Hsuan Lo-Ciganic
Adam J Gordon
Julie M Donohue
Walid F Gellad

Funding

The Influence of Formulary Management Strategies on Opioid Medication Use.U01CE002496 · CE · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COCHRAN, GERALD T., DONOHUE, JULIE MARIE · 2014 to 2015
$400k
NCIPC CDC HHS U01 CE002496NCIPC CDC HHS U01CE002496-01
6 · The paper itself

Abstract

backgroundHealth insurance claims data may play an important role for health care systems and payers in monitoring the nonmedical use of prescription opioids (NMPO) among patients. However, these systems require valid methods for identifying NMPO if they are to target individuals for intervention. Limited efforts have been made to define NMPO using administrative data available to health systems and payers. We conducted a systematic review of publications that defined and measured NMPO within health insurance claims databases in order to describe definitions of NMPO and identify areas for improvement.

methodsWe searched 8 electronic databases for articles that included terms related to NMPO and health insurance claims. A total of 2613 articles were identified in our search. Titles, abstracts, and article full texts were assessed according to predetermined inclusion/exclusion criteria. Following article selection, we extracted general information, conceptual and operational definitions of NMPO, methods used to validate operational definitions of NMPO, and rates of NMPO.

resultsA total of 7 studies met all inclusion criteria. A range of conceptual NMPO definitions emerged, from concrete concepts of abuse to qualified definitions of probable misuse. Operational definitions also varied, ranging from variables that rely on diagnostic codes to those that rely on opioid dosage and/or filling patterns. Quantitative validation of NMPO definitions was reported in 3 studies (e.g., receiver operating curves or logistic regression), with each study indicating adequate validity. Three studies reported qualitative validation, using face and content validity. One study reported no validation efforts. Rates of NMPO among the studies' populations ranged from 0.75% to 10.32%.

conclusionsDisparate definitions of NMPO emerged from the literature, with little uniformity in conceptualization and operationalization. Validation approaches were also limited, and rates of NMPO varied across studies. Future research should prospectively test and validate a construct of NMPO to disseminate to payers and health officials.

Indexed as

Analgesics, OpioidHumansInsurance BenefitsInsurance, HealthSubstance-Related DisordersTerminology as TopicAnalgesics, Opioidhealth insuranceNon-medical use of prescription opioidssystematic review

Identifiers

PMID25671499
PMCPMC4736503

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.