Evidence map›Paper›PMID 31073282›Full record

ArticleAddictive disorders & their treatment2019

Characteristics and Red Flag Correlates of Psychiatric Outpatients in a Mandated-Use Prescription Drug Monitoring Program State: A PBRN Card Study.

Andrew W Hunt, Kathleen Clegg, Christina Delos Reyes, Maureen Riley-Behringer, Stephen Zyzanski, James Werner

Abstract read
In one paragraph

Article in Addictive disorders & their treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Andrew W HuntUniversity Hospitals Cleveland Medical Center, Cleveland, OH.
Kathleen CleggUniversity Hospitals Cleveland Medical Center, Cleveland, OH.
Christina Delos ReyesUniversity Hospitals Cleveland Medical Center, Cleveland, OH.
Maureen Riley-BehringerUniversity Hospitals Cleveland Medical Center, Cleveland, OH.
Stephen ZyzanskiUniversity Hospitals Cleveland Medical Center, Cleveland, OH.
James WernerUniversity Hospitals Cleveland Medical Center, Cleveland, OH.

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
NCATS NIH HHS UL1 TR000439NCATS NIH HHS UL1 TR002548
6 · The paper itself

Abstract

objectivesAll 50 states have implemented a Prescription Drug Monitoring Program (PDMP) in efforts to control prescription drug abuse. Many now mandate PDMP checks before clinicians prescribe controlled substances. The aim of this study was to characterize the associations between patient characteristics, red flags found on PDMP reports, and prescriber behavior at community mental health agencies.

methodsPrescribers at 9 practice sites, in five regional community mental health centers, were recruited by a practice-based research network (PBRN) to participate in a Card Study. Prescribers completed a PDMP attitudes survey, and cards were completed for patients who had PDMP reports checked. Data were analyzed using descriptive and inferential statistics.

resultsThirty nine providers completed cards for n=249 unique patient encounters. Over 1/3 of all patients reported an addiction disorder (38%) or a diagnosis of chronic pain (34%). Twenty percent of PDMP reports were found to have red flags, most commonly multiple prescribers or multiple pharmacies. Red flags were associated with race (p<.0.05), presence of chronic pain (p<0.01), presence of an addiction diagnosis (p<0.05), use of opioids (p<0.001), and non-adherence with treatment (p<0.006). Among prescribers, red flags were associated with lower prescribing rates (p<0.01), and decisions to decrease dosage (p<0.002).

conclusionsRed flags were commonly found on PDMP reports done in community mental health settings, and were associated with important patient characteristics and diagnostic factors. PBRN research methods can be leveraged to obtain real-time observational data about psychiatric prescribers' use of PDMP reports in clinical decision-making in different settings.

Indexed as

Community Mental HealthPractice-Based ResearchPrescription Drug AbusePrescription Drug Monitoring ProgramPublic Policy

Identifiers

PMID31073282
PMCPMC6502467

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