Evidence map›Paper›PMID 33812783›Full record

ArticleJournal of the American Pharmacists Association : JAPhA

Academic detailing increases prescription drug monitoring program use among primary care practices.

Sarah J Ball, Jenna A McCauley, Megan Pruitt, Jingwen Zhang, Justin Marsden, Kelly S Barth, Patrick D Mauldin, Mulugeta Gebregziabher, William P Moran

Abstract read
In one paragraph

Article in Journal of the American Pharmacists Association : JAPhA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

9 authors.

Sarah J Ball
Jenna A McCauley
Megan Pruitt
Jingwen Zhang
Justin Marsden
Kelly S Barth
Patrick D Mauldin
Mulugeta Gebregziabher
William P Moran

Funding

Proteomics CoreP30DK123704 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Garth R Swanson · 2020 to 2026
$8.8M
SC PRESCRIPTION DRUG OVERDOSE PREVENTION FOR STATESU17CE002730 · CE · SOUTH CAROLINA DEPARTMENT OF PUBLIC HEALTH · PI EDENS, J. DANIEL, FRICK, · 2016 to 2016
$1.4M
Reducing Prescription Opioid Misuse: Dental Provider Intervention DevelopmentK23DA036566 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MCCAULEY, JENNA L. · 2015 to 2019
$980k
NCIPC CDC HHS U17 CE002730NIDA NIH HHS K23 DA036566NIDDK NIH HHS P30 DK123704
6 · The paper itself

Abstract

objectiveClinical review of a prescription drug monitoring program (PDMP) is considered a valuable tool for opioid prescribing risk mitigation; however, PDMP use is often low, even in states with mandatory registration and use policies. The objective was to evaluate the impact of an academic detailing (AD) outreach intervention on PDMP use among primary care prescribers.

methodsAD intervention was delivered to primary care based controlled substance prescribers (N = 87) and their associated PDMP delegates (n = 42) by a clinical pharmacist as 1 component of a large-scale, statewide initiative to improve opioid prescribing safety. Prescriber PDMP use behavior was assessed by prescriber self-report and analysis of objective 2016-2018 PDMP data regarding the number of monthly report requests. We compared means between pre- and postintervention using a paired t test and plotted the monthly average reports over time to assess the trend of mean reports over time. Generalized linear mixed model with a negative binomial distribution was used to assess the difference in the trend and magnitude of the combined count of reports for the entire sample and prescriber subsets that were segmented on the basis of the adoption status of PDMP.

resultsThe monthly mean of reports by combined prescribers and delegates significantly increased after the AD intervention (mean 28.1 pre vs. 53.0 post; P < 0.001), with the increase in delegate reports (mean 17.1 pre vs. 60.0 post; P < 0.001) driving the overall increase. Reports were requested 40.4 times more often than in the preintervention period (P < 0.001). Patterns of pre- to postchanges in mean monthly report requests differed by baseline PDMP adoption status.

conclusionThe AD intervention was transformative in facilitating practice change to use delegates to run reports. Visits with both prescribers and delegates, including hands-on PDMP training and registration assistance, can be viewed as beneficial for practice facilitation.

Indexed as

Prescription Drug Monitoring ProgramsAnalgesics, OpioidControlled SubstancesHumansPractice Patterns, Physicians'Primary Health CareAnalgesics, OpioidControlled Substances

Identifiers

PMID33812783
PMCPMC8273068

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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.