ArticleThe journal of pain2018
Association of Prescription Drug Monitoring Program Use With Opioid Prescribing and Health Outcomes: A Comparison of Program Users and Nonusers.
Article in The journal of pain, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
29 citing papers in PubMed, 4 syntheses or guidelines pooled it, 64 citations in OpenAlex.
- Health Care Provider Utilization of Prescription Monitoring Programs: A Systematic Review and Meta-Analysis.Pain medicine (Malden, Mass.) · 2021Pooled it
- Prescription Drug Monitoring Programs and Prescription Opioid-Related Outcomes in the United States.Epidemiologic reviews · 2020Pooled it
- Systematic Literature Review of Prescription Drug Monitoring Programs.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Pooled it
- A Rapid Review of the Impact of Systems-Level Policies and Interventions on Population-Level Outcomes Related to the Opioid Epidemic, United States and Canada, 2014-2018.Public health reports (Washington, D.C. : 1974)Pooled it
- Trial
- Awareness about opioids crisis, policies and regulation of opioid stewardship at hospitals settings: a nationwide cross-sectional study among healthcare professionals from Pakistan.Substance abuse treatment, prevention, and policy · 2026Article
- Review
- Prescription opioid supply-restricting policies and hospital use by people prescribed opioid medications, Victoria, 2018-22: a controlled interrupted time series analysis.The Medical journal of Australia · 2025Article
- Nationally Representative Rates of Incident Prescription Opioid Use Among United States Adults and Selected Subpopulations: Longitudinal Cohort Study From the National Health Interview Survey, 2019 to 2020.The journal of pain · 2024Article
- Opioid Prescription Clusters Associated With Early or Unplanned Military Separation.Military medicine · 2024Article
- A novel opioid/pramipexole combination treatment for the management of acute pain: a pilot study.Frontiers in pain research (Lausanne, Switzerland) · 2024Article
- Determining the Impact of Opioid Policy on Substance Use and Mental Health-Related Harms: Protocol for a Data Linkage Study.JMIR research protocols · 2023Article
- Review
- Article
- Analysis of Access to Prescription Data Management Programs Data for Research.JAMA network open · 2022Article
- "Doctor and pharmacy shopping": A fading signal for prescription opioid use monitoring?Drug and alcohol dependence · 2021Article
- Changes in early high-risk opioid prescribing practices after policy interventions in Washington State.Health services research · 2021Article
- Prescription Opioid Dispensing Patterns Prior to Heroin Overdose in a State Medicaid Program: a Case-Control Study.Journal of general internal medicine · 2020Article
- A comparison of trends in opioid dispensing patterns between Medicaid pharmacy claims and prescription drug monitoring program data.Pharmacoepidemiology and drug safety · 2020Article
- Record Linkage Approaches Using Prescription Drug Monitoring Program and Mortality Data for Public Health Analyses and Epidemiologic Studies.Epidemiology (Cambridge, Mass.) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 3 institutions in 1 country.
Funding
Abstract
Prescription drug monitoring programs (PDMPs) are a response to the prescription opioid epidemic, but their effects on prescribing and health outcomes remain unclear, with conflicting reports. We sought to determine if prescriber use of Oregon's PDMP led to fewer high-risk opioid prescriptions or overdose events. We conducted a retrospective cohort study from October 2011 through October 2014, using statewide PDMP data, hospitalization registry, and vital records. Early PDMP registrants (n = 927) were matched with clinicians who never registered during the study period, using baseline prescribing metrics in a propensity score. Generalized estimating equations were used to examine prescribing trends after PDMP registration, using 2-month intervals. We found a statewide decline in measures of per capita opioid prescribing. However, compared with nonregistrants, PDMP registrants did not subsequently have significantly fewer patients receiving high-dose prescriptions, overlapping opioid and benzodiazepine prescriptions, inappropriate prescriptions, prescriptions from multiple prescribers, or overdose events. At baseline, frequent PDMP users wrote fewer high-risk opioid prescriptions than infrequent users; this persisted during follow-up with few significant group differences in trend. Thus, although opioid prescribing declined statewide after implementing the PDMP, registrants did not show greater declines than nonregistrants. PERSPECTIVE: Factors other than PDMP use may have had greater influence on prescribing trends. Refinements in the PDMP program and related policies may be necessary to increase PDMP effects.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.