Evidence map›Paper›PMID 31168860›Full record

ArticlePharmacoepidemiology and drug safety2019

Doctor hopping and doctor shopping for prescription opioids associated with increased odds of high-risk use.

Sean G Young, Corey J Hayes, Jonathan Aram, Mark A Tait

Open access · hybridAbstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2019. 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
3.3field-weighted citation impact, top 8% of its field
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, 18 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 1 country.

Sean G YoungDepartment of Environmental and Occupational Health, University of Arkansas for Medical Sciences College of Public Health, Little Rock, AR, USA.ORCID 0000-0002-0054-0627
Corey J HayesHealth Services Research and Development Center for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, Little Rock, AR, USA.
Jonathan AramPrescription Monitoring Program, Epidemiology Branch, Arkansas Department of Health, Little Rock, AR, USA.
Mark A TaitDepartment of Orthopaedic Surgery, University of Arkansas for Medical Sciences College of Medicine, Little Rock, AR, USA.
Arkansas Department of Health · USHealth Services Research & Development · USUniversity of Arkansas for Medical Sciences · US

Funding

Translational Training in AddictionT32DA022981 · NIDA · UNIV OF ARKANSAS FOR MED SCIS · PI Melissa Jean Zielinski · 2009 to 2026
$6.1M
Impact of Opioid Dosing Strategies on Pain Scores and Adverse or Unintended Clinical OutcomesR36DA046717 · NIDA · UNIV OF ARKANSAS FOR MED SCIS · PI HAYES, COREY J · 2018 to 2018
$54k
NIDA NIH HHS 1T32 DA 022981NIDA NIH HHS R36 DA046717NIDA NIH HHS T32 DA022981
6 · The paper itself

Abstract

purposeEarly detection of risky behaviors involving prescription opioids can assist prescribers in implementing safer prescribing. Patient-to-prescriber travel patterns may indicate potential opioid misuse. We introduce doctor hopping, patients bypassing nearby prescribers in favor of more distant ones, as a new spatial estimation of potentially risky behavior, and compare with traditional doctor shopping metrics.

methodsWe examined all filled opioid prescriptions between 2015 and 2016 from the Arkansas Prescription Drug Monitoring Program. We calculated patient-to-prescriber travel times and number of prescribers bypassed for each prescription, adjusted for payment method. Opioid recipients traveling further than the nearest urban area and bypassing more prescribers than 99% of other recipients from the same zip code were identified as doctor hoppers. We calculated odds ratios to evaluate how doctor hopping and doctor shopping correspond to high-risk opioid uses.

resultsApproximately 0.72% of all opioid recipients in Arkansas engaged in doctor hopping two or more times during the study period. Rates of doctor hopping varied spatially but were more common in rural areas. Doctor shopping was more common in urban areas. Both hopping and shopping were significantly associated with higher odds of engaging in high-risk opioid use. The combination of doctor hopping and doctor shopping metrics can predict high-risk use better than either metric alone and may allow for earlier detection than doctor shopping alone.

conclusionsDoctor hopping is positively associated with high-risk opioid use and is distinct from and complementary to doctor shopping. We recommend Prescription Drug Monitoring Program (PDMP) vendors incorporate similar spatial analyses into their systems.

Indexed as

AdultAgedAnalgesics, OpioidArkansasFemaleHumansMaleMiddle AgedOpioid-Related DisordersPhysiciansPrescription Drug MisusePrescription Drug Monitoring ProgramsRisk-TakingRural PopulationTravelUrban PopulationAnalgesics, Opioidgeographyhealth risk behaviorsopioidspharmacoepidemiologyprescription drug monitoring programspatial analysis

Identifiers

PMID31168860
PMCPMC6679752
OpenAlexW2969517686

What OpenQuestion holds

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LicenceCC BY-NC
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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.