ArticlePharmacoepidemiology and drug safety2019
Doctor hopping and doctor shopping for prescription opioids associated with increased odds of high-risk use.
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.
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.
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.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Advances in prescription drug monitoring program research: a literature synthesis (June 2018 to December 2019).Current opinion in psychiatry · 2020Pooled it
- Do Communities Implementing the Communities That HEAL Intervention Have Significantly Lower Rates of High-Risk Opioid Prescribing and Dispensing?AJPM focus · 2025Article
- Assessing the Impact of Indiana Public Law 194 on Curbing the Concurrent Opioid Prescribing for Indiana Medicaid Enrollees.Substance abuse : research and treatment · 2023Article
- Preoperative Opioid Use Results in Greater Postoperative Opioid Consumption After Thumb Basal Joint Arthroplasty.Journal of hand surgery global online · 2022Article
- New means, new measures: assessing prescription drug-seeking indicators over 10 years of the opioid epidemic.Addiction (Abingdon, England) · 2022Article
- Article
- Early Detection of Prescription Drug Abuse Using Doctor Shopping Monitoring From Claims Databases: Illustration From the Experience of the French Addictovigilance Network.Frontiers in psychiatry · 2021Review
- Trends in risky prescriptions of opioid analgesics from 2011 to 2015 in Northern Germany.Journal of psychopharmacology (Oxford, England) · 2020Article
- A Typology of New Long-term Opioid Prescribing in the Veterans Health Administration.Journal of general internal medicine · 2020Article
- Doctor hopping and doctor shopping for prescription opioids associated with increased odds of high-risk use.Pharmacoepidemiology and drug safety · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.