Evidence map›Paper›PMID 32242239›Full record

SynthesisEpidemiologic reviews2020

Prescription Drug Monitoring Programs and Prescription Opioid-Related Outcomes in the United States.

Victor Puac-Polanco, Stanford Chihuri, David S Fink, Magdalena Cerdá, Katherine M Keyes, Guohua Li

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Epidemiologic reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
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  7. Article
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  10. Observational
  11. Article
  12. Article
  13. Improving Policy Evaluations Of The Opioid Crisis.Health affairs (Project Hope) · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Effects of state opioid prescribing laws on rates of fatal crashes in the USA.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2025
    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.

Victor Puac-PolancoDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.
Stanford ChihuriDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.
David S FinkDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.
Magdalena CerdáDepartment of Population Health, New York University Grossman School of Medicine, New York, New York.
Katherine M KeyesDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.
Guohua LiDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.

Funding

IMSD at Columbia's Mailman School of Public HealthR25GM062454 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GOLDSMITH, JEFF, MARTINS, SILVIA SABOIA · 2002 to 2019
$7.3M
Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
Columbia Injury Control Research CenterR49CE002096 · CE · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LI, GUOHUA · 2012 to 2018
$5.5M
Prescription Drug Monitoring Programs and Opioid-Related HarmR01DA039962 · NIDA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CERDA, MAGDALENA · 2016 to 2018
$1.3M
ACL HHS R49CE002096NCIPC CDC HHS R49 CE002096NIDA NIH HHS R01 DA039962NIDA NIH HHS T32 DA031099NIGMS NIH HHS R25 GM062454
6 · The paper itself

Abstract

Prescription drug monitoring programs (PDMPs) are a crucial component of federal and state governments' response to the opioid epidemic. Evidence about the effectiveness of PDMPs in reducing prescription opioid-related adverse outcomes is mixed. We conducted a systematic review to examine whether PDMP implementation within the United States is associated with changes in 4 prescription opioid-related outcome domains: opioid prescribing behaviors, opioid diversion and supply, opioid-related morbidity and substance-use disorders, and opioid-related deaths. We searched for eligible publications in Embase, Google Scholar, MEDLINE, and Web of Science. A total of 29 studies, published between 2009 and 2019, met the inclusion criteria. Of the 16 studies examining PDMPs and prescribing behaviors, 11 found that implementing PDMPs reduced prescribing behaviors. All 3 studies on opioid diversion and supply reported reductions in the examined outcomes. In the opioid-related morbidity and substance-use disorders domain, 7 of 8 studies found associations with prescription opioid-related outcomes. Four of 8 studies in the opioid-related deaths domain reported reduced mortality rates. Despite the mixed findings, emerging evidence supports that the implementation of state PDMPs reduces opioid prescriptions, opioid diversion and supply, and opioid-related morbidity and substance-use disorder outcomes. When PDMP characteristics were examined, mandatory access provisions were associated with reductions in prescribing behaviors, diversion outcomes, hospital admissions, substance-use disorders, and mortality rates. Inconsistencies in the evidence base across outcome domains are due to analytical approaches across studies and, to some extent, heterogeneities in PDMP policies implemented across states and over time.

Indexed as

Prescription Drug Monitoring ProgramsAnalgesics, OpioidHumansTreatment OutcomeUnited StatesAnalgesics, Opioiddrug prescriptionsopioid-related disordersprescription drug diversionprescription drug monitoring programssubstance-related disorders

Identifiers

PMID32242239
PMCPMC7947593

What OpenQuestion holds

Textmetadata
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.