Evidence map›Paper›PMID 30920062›Full record

ArticlePharmacoepidemiology and drug safety2019

Impact of a prescription drug monitoring program use mandate on potentially problematic patterns of opioid analgesic prescriptions in New York City.

Marcus A Bachhuber, Ellenie Tuazon, Michelle L Nolan, Hillary V Kunins, Denise Paone

Abstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Longitudinal impact of a pre-populated default quantity on emergency department opioid prescriptions.Journal of the American College of Emergency Physicians open · 2021
    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

5 authors.

Marcus A BachhuberSection of Community and Population Medicine, Department of Medicine, Louisiana State University School of Medicine, New Orleans, LA, USA.ORCID 0000-0002-5610-8382
Ellenie TuazonBureau of Alcohol and Drug Use Prevention, Care, and Treatment, New York City Department of Health and Mental Hygiene, Queens, NY, USA.
Michelle L NolanBureau of Alcohol and Drug Use Prevention, Care, and Treatment, New York City Department of Health and Mental Hygiene, Queens, NY, USA.
Hillary V KuninsBureau of Alcohol and Drug Use Prevention, Care, and Treatment, New York City Department of Health and Mental Hygiene, Queens, NY, USA.
Denise PaoneBureau of Alcohol and Drug Use Prevention, Care, and Treatment, New York City Department of Health and Mental Hygiene, Queens, NY, USA.

Funding

Leveraging the electronic health record to reduce opioid analgesic prescriptionsK08DA043050 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI BACHHUBER, MARCUS A · 2017 to 2018
$223k
NIDA NIH HHS K08 DA043050NIDA NIH HHS K08DA043050
6 · The paper itself

Abstract

purposeTo evaluate New York State's mandate that prescribers query the prescription drug monitoring program (PDMP) prior to prescribing Schedule II-IV medications.

methodsWe conducted an interrupted time series analysis of opioid analgesic prescriptions dispensed to adult New York City (NYC) residents using data from New York State's PDMP. Our main outcomes were the rate of (a) greater than or equal to five prescriber episodes, (b) greater than or equal to five prescriber and greater than or equal to five pharmacy episodes, and (c) paying for prescriptions with both cash and insurance, per quarter, per 100 000 NYC residents. We defined three periods: (a) the baseline period (January 2011 to July 2012), (b) the anticipatory period (September 2012 to July 2013) after mandate law enactment but before mandate implementation, and (c) the postmandate period (September 2013 to December 2015). For each outcome, we used autoregressive linear regression models to account for correlation in outcomes over time.

resultsAt the end of the postmandate period, the rate of greater than or equal to five prescriber episodes was 58% lower than expected (absolute difference: -17.2 per 100 000 NYC residents; 95% CI, -31.2 to -3.1), the rate of greater than or equal to five prescriber and greater than or equal to five pharmacy episodes was 88% lower than expected (absolute difference: -8.6; 95% CI, -11.0 to -6.3), and the rate of cash and insurance payment episodes was 50% lower than expected (absolute difference: -145.4; 95% CI, -279.4 to -11.6).

conclusionsWhile outcomes were relatively rare, New York State's PDMP mandate was associated with significant decreases in rates of potentially problematic patterns of opioid analgesic prescriptions.

Indexed as

Analgesics, OpioidCohort StudiesHumansInappropriate PrescribingNew York CityPractice Patterns, Physicians'Prescription Drug Monitoring ProgramsAnalgesics, Opioidanalgesicshealth policyopioidpharmacoepidemiologyprescription drug diversionprescription drug misuseprescription drug monitoring programs

Identifiers

PMID30920062
PMCPMC6689227

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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.