Evidence map›Paper›PMID 34598101›Full record

ReviewDrug and alcohol dependence2021

Claims-based measures of prescription opioid utilization: A practical guide for researchers.

Sara E Heins, Christine Buttorff, Courtney Armstrong, Rosalie Liccardo Pacula

Abstract readReview
In one paragraph

Review in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Observational
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

4 authors.

Sara E HeinsRAND Corporation, Pittsburgh, PA, USA. Electronic address: sheins@rand.org.
Christine ButtorffRAND Corporation, Arlington, VA, USA.
Courtney ArmstrongRAND Corporation, Santa Monica, CA, USA.
Rosalie Liccardo PaculaRAND Corporation, Santa Monica, CA, USA; Schaeffer Center for Health Policy & Economics, University of Southern California, USA.

Funding

Optimal Methods for Estimating Policy Effect Heterogeneity in Opioid Policy ResearchP50DA046351 · NIDA · RAND CORPORATION · PI BRADLEY D STEIN · 2018 to 2026
$20.8M
Impact of Marijuana Legalization on Opioid Prescribing and Poisonings in ColoradoR01DA045051 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PACULA, ROSALIE LICCARDO · 2018 to 2020
$1.7M
NIDA NIH HHS P50 DA046351NIDA NIH HHS R01 DA045051
6 · The paper itself

Abstract

backgroundGiven the increased attention to the opioid epidemic and the role of inappropriate prescribing, there has been a marked increase in the number of studies using claims data to study opioid use and policies designed to curb misuse. Our objective is to review the medical literature for recent studies that use claims data to construct opioid use measures and to develop a guide for researchers using these measures.

methodsWe searched for articles relating to opioid use measured in health insurance claims data using a defined set of search terms for the years 2014-2020. Original research articles based in the United States that used claims-based measures of opioid utilization were included and information on the study population and measures of any opioid use, quantity of opioid use, new opioid use, chronic opioid use, multiple providers, and overlapping prescriptions was abstracted.

resultsA total of 164 articles met inclusion criteria. Any opioid use was the most commonly included measure, defined by 85 studies. This was followed by quantity of opioids (68 studies), chronic opioid use (53 studies), overlapping prescriptions (28 studies), and multiple providers (8 studies). Each measure contained multiple, distinct definitions with considerable variation in how each was operationalized.

conclusionsClaims-based opioid utilization measures are commonly used in research, but definitions vary significantly from study to study. Researchers should carefully consider which opioid utilization measures and definitions are most appropriate for their study and recognize how different definitions may influence study results.

Indexed as

Analgesics, OpioidOpioid-Related DisordersDrug PrescriptionsHumansInappropriate PrescribingPractice Patterns, Physicians'PrescriptionsUnited StatesAnalgesics, OpioidClaims dataOpioidsPrescription data

Identifiers

PMID34598101
PMCPMC8595838

What OpenQuestion holds

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Registered trials

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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.