Evidence map›Paper›PMID 25111716›Full record

ArticlePharmacoepidemiology and drug safety2014

The ecology of prescription opioid abuse in the USA: geographic variation in patients' use of multiple prescribers ("doctor shopping").

Douglas C McDonald, Kenneth E Carlson

Abstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

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0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

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

16 citing papers in PubMed.

  1. Article
  2. Article
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  4. Adaptive interventions for opioid prescription management and consumption monitoring.Journal of the American Medical Informatics Association : JAMIA · 2023
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  8. Network Abstractions of Prescription Patterns in a Medicaid Population.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
    Article
  9. Characteristics of doctor-shoppers: a systematic literature review.Journal of market access & health policy · 2019
    Article
  10. Visualizing nationwide variation in medicare Part D prescribing patterns.BMC medical informatics and decision making · 2018
    Article
  11. Article
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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

2 authors.

Douglas C McDonaldUS Health Division, Abt Associates Inc., Cambridge, MA, USA.
Kenneth E Carlson

Funding

Conduct a nationwide epidemiological study of Rx drug diversion for non-medical uRC2DA028920 · NIDA · ABT ASSOCIATES, INC. · PI MCDONALD, DOUGLAS CORRY · 2009 to 2010
$1.4M
NIDA NIH HHS RC2 DA028920
6 · The paper itself

Abstract

purposeThis study estimates the prevalence in US counties of opioid patients who use large numbers of prescribers, the amounts of opioids they obtain, and the extent to which their prevalence is predicted by ecological attributes of counties, including general medical exposure to opioids.

methodsFinite mixture models were used to estimate the size of an outlier subpopulation of patients with suspiciously large numbers of prescribers (probable doctor shoppers), using a sample of 146 million opioid prescriptions dispensed during 2008. Ordinary least squares regression models of county-level shopper rates included independent variables measuring ecological attributes of counties, including rates of patients prescribed opioids, socioeconomic characteristics of the resident population, supply of physicians, and measures of healthcare service utilization.

resultsThe prevalence of shoppers varied widely by county, with rates ranging between 0.6 and 2.5 per 1000 residents. Shopper prevalence was strongly correlated with opioid prescribing for the general population, accounting for 30% of observed county variation in shopper prevalence, after adjusting for physician supply, emergency department visits, in-patient hospital days, poverty rates, percent of county residents living in urban areas, and racial/ethnic composition of resident populations. Approximately 30% of shoppers obtained prescriptions in multiple states.

conclusionsThe correlation between prevalence of doctor shoppers and opioid patients in a county could indicate either that easy access to legitimate medical treatment raises the risk of abuse or that drug abusers take advantage of greater opportunities in places where access is easy. Approaches to preventing excessive use of different prescribers are discussed.

Indexed as

Age FactorsAlaskaHumansOpioid-Related DisordersPractice Patterns, Physicians'Prescription Drug MisusePrescription DrugsRhode IslandSex FactorsSmall-Area AnalysisUnited StatesPrescription Drugsabusediversiongeographic variationmultiple prescribersopioidspharmacoepidemiology

Identifiers

PMID25111716
PMCPMC4777341

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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.