Evidence map›Paper›PMID 26345658›Full record

ArticleThe International journal on drug policy2016

Prescription monitoring programs and emergency department visits involving benzodiazepine misuse: Early evidence from 11 United States metropolitan areas.

Marcus A Bachhuber, Brandon C Maughan, Nandita Mitra, Jordyn Feingold, Joanna L Starrels

Abstract read
In one paragraph

Article in The International journal on drug policy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 8% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Marcus A BachhuberCenter for Health Equity Research and Promotion, Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA; Robert Wood Johnson Foundation Clinical Scholars Program, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: marcus.bachhuber@gmail.com.
Brandon C MaughanCenter for Health Equity Research and Promotion, Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA; Robert Wood Johnson Foundation Clinical Scholars Program, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: bmaughan@gmail.com.
Nandita MitraDepartment of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: nanditam@mail.med.upenn.edu.
Jordyn FeingoldUniversity of Pennsylvania, Philadelphia, PA, USA. Electronic address: jordyn.feingold@gmail.com.
Joanna L StarrelsDivision of General Internal Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA. Electronic address: jostarre@montefiore.org.
University of Pennsylvania · USAlbert Einstein College of Medicine · USRobert Wood Johnson Foundation · USVeterans Health Administration · US

Funding

Prescription opioid use, misuse, disorders and HIV outcomesR01DA039046 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI STARRELS, JOANNA L. · 2015 to 2018
$2.4M
Intervention to Promote Opioid Treatment Agreements in Primary CareK23DA027719 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI STARRELS, JOANNA L. · 2010 to 2014
$909k
NIDA NIH HHS K23 DA027719NIDA NIH HHS K23DA027719NIDA NIH HHS R01 DA039046
6 · The paper itself

Abstract

backgroundEmergency department (ED) visits involving benzodiazepines have increased in the United States. Most states have created prescription monitoring programs (PMPs) to improve drug prescribing safety. To determine the association between PMP implementation and ED visits involving benzodiazepine misuse, we conducted a retrospective analysis of data from 11 metropolitan areas in the United States from 2004 to 2011.

methodsWe estimated rates of ED visits per 100,000 residents involving benzodiazepine misuse from the Drug Abuse Warning Network dataset. Dates of PMP implementation were obtained from program administrators. We used linear regression models to assess whether PMP implementation was associated with a change in ED visits involving benzodiazepines. Models were adjusted for calendar quarter, metropolitan area, and metropolitan area-specific linear time trends.

resultsRates of ED visits involving benzodiazepine misuse increased in all metropolitan areas during the study period. PMP implementation was not associated with a change in ED visits (mean difference: 0.9 [95% CI: -0.09 to 1.9] visits per 100,000 population per quarter; p=0.08). When analyzed by number of years after implementation, PMPs were associated with a higher visit rate in year one (0.8 [95% CI: 0.2-1.5]; p=0.01]), but not in year two (0.3 [95% CI: -2.1-2.8]; p=0.78) or year three or later (2.1 [95% CI: -0.4-4.7]; p=0.10).

conclusionWe did not find evidence that PMP implementation was associated with reductions in ED visits involving benzodiazepine misuse. Future work should identify PMP features and capabilities that improve benzodiazepine safety.

Indexed as

Drug MonitoringBenzodiazepinesEmergency Service, HospitalHumansPrescription Drug MisuseRetrospective StudiesUnited StatesUrban PopulationBenzodiazepinesBenzodiazepinesHealth policyPrescription drug misusePublic healthPublic policy

Identifiers

PMID26345658
PMCPMC4752854
OpenAlexW2196823582

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.