Evidence map›Paper›PMID 26143508›Full record

ArticleThe journal of primary prevention2015

The use of a prescription drug monitoring program to develop algorithms to identify providers with unusual prescribing practices for controlled substances.

Christopher Ringwalt, Sharon Schiro, Meghan Shanahan, Scott Proescholdbell, Harold Meder, Anna Austin, Nidhi Sachdeva

Abstract read
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Article in The journal of primary prevention, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Automatable algorithms to identify nonmedical opioid use using electronic data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2017
    Pooled it
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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

7 authors.

Christopher RingwaltInjury Prevention Research Center, University of North Carolina, Chapel Hill, NC, USA. ringwalt@PIRE.org.
Sharon SchiroDepartment of Surgery, University of North Carolina, Chapel Hill, NC, USA.
Meghan ShanahanInjury Prevention Research Center, University of North Carolina, Chapel Hill, NC, USA.
Scott ProescholdbellNorth Carolina Division of Public Health, Raleigh, NC, USA.
Harold MederInjury Prevention Research Center, University of North Carolina, Chapel Hill, NC, USA.
Anna AustinNorth Carolina Division of Public Health, Raleigh, NC, USA.
Nidhi SachdevaNorth Carolina Division of Public Health, Raleigh, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The misuse, abuse and diversion of controlled substances have reached epidemic proportion in the United States. Contributing to this problem are providers who over-prescribe these substances. Using one state's prescription drug monitoring program, we describe a series of metrics we developed to identify providers manifesting unusual and uncustomary prescribing practices. We then present the results of a preliminary effort to assess the concurrent validity of these algorithms, using death records from the state's vital records database pertaining to providers who wrote prescriptions to patients who then died of a medication or drug overdose within 30 days. Metrics manifesting the strongest concurrent validity with providers identified from these records related to those who co-prescribed benzodiazepines (e.g., valium) and high levels of opioid analgesics (e.g., oxycodone), as well as those who wrote temporally overlapping prescriptions. We conclude with a discussion of a variety of uses to which these metrics may be put, as well as problems and opportunities related to their use.

Indexed as

Controlled SubstancesAlgorithmsAnalgesics, OpioidDrug PrescriptionsDrug Utilization ReviewHumansInappropriate PrescribingNorth CarolinaPractice Patterns, Physicians'Analgesics, OpioidControlled SubstancesAberrant prescribingControlled substancesOpioidsUnusual prescribing

Identifiers

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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.