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Evaluating the impact of prescription drug monitoring program implementation: a scoping review

Overview of attention for article published in BMC Health Services Research, June 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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3 news outlets
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14 X users
wikipedia
1 Wikipedia page

Citations

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129 Dimensions

Readers on

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151 Mendeley
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Title
Evaluating the impact of prescription drug monitoring program implementation: a scoping review
Published in
BMC Health Services Research, June 2017
DOI 10.1186/s12913-017-2354-5
Pubmed ID
Authors

Erin P. Finley, Ashley Garcia, Kristen Rosen, Don McGeary, Mary Jo Pugh, Jennifer Sharpe Potter

Abstract

Prescription drug monitoring programs (PDMPs) have been implemented in 49 out of 50 states in an effort to reduce opioid-related misuse, abuse, and mortality, yet the literature evaluating the impact of PDMP implementation remains limited. We conducted a scoping review to: (1) describe available evidence regarding impact of PDMPs in the U.S.; and (2) propose a conceptual model to inform future PDMP implementation and evaluation efforts. Scoping systematic review following Arksey and O'Malley's (2005) methodology. We identified 11 relevant studies based on inclusion criteria using a PubMed database search of English-language studies published 1/1/2000-5/31/16. Data were extracted and thematic analysis conducted to synthesize results. Extant evidence for the impact of PDMPs as an opioid risk mitigation tool remains mixed. Thematic analysis revealed four domains of opioid-related outcomes frequently examined in original studies evaluating PDMP implementation: (1) opioid prescribing; (2) opioid diversion and supply; (3) opioid misuse; and (4) opioid-related morbidity and mortality. An evaluation framework incorporating these domains is presented that highlights significant gaps in empirical research across each of these domains. Evidence for the impact of state-level PDMPs remains mixed. We propose a conceptual model for evaluating PDMP implementation toward the goals of clarifying PDMP mechanisms of impact, identifying characteristics of PDMPs associated with best outcomes, and maximizing the utility of PDMP policy and implementation to reduce opioid-related public health burden.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 151 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 17%
Researcher 22 15%
Student > Master 22 15%
Student > Bachelor 13 9%
Student > Doctoral Student 12 8%
Other 24 16%
Unknown 32 21%
Readers by discipline Count As %
Medicine and Dentistry 37 25%
Nursing and Health Professions 17 11%
Social Sciences 17 11%
Pharmacology, Toxicology and Pharmaceutical Science 7 5%
Psychology 5 3%
Other 27 18%
Unknown 41 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 November 2023.
All research outputs
#1,162,794
of 25,584,565 outputs
Outputs from BMC Health Services Research
#311
of 8,705 outputs
Outputs of similar age
#23,337
of 330,515 outputs
Outputs of similar age from BMC Health Services Research
#9
of 138 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,705 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,515 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.