Evidence map›Paper›PMID 31074819›Full record

ArticleJAMA network open2019

Assessment of Prescriber and Pharmacy Shopping Among the Family Members of Patients Prescribed Opioids.

Kao-Ping Chua, Chad M Brummett, Rena M Conti, Rebecca L Haffajee, Lisa A Prosser, Amy S B Bohnert

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
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

6 authors at 2 institutions in 1 country.

Kao-Ping ChuaDepartment of Pediatrics, Susan B. Meister Child Health Evaluation and Research Center, University of Michigan, Ann Arbor.
Chad M BrummettDivision of Pain Medicine, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor.
Rena M ContiInstitute for Health System Innovation and Policy, Department of Markets, Public Policy, and Law, Questrom School of Business, Boston University, Boston, Massachusetts.
Rebecca L HaffajeeDepartment of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor.
Lisa A ProsserDepartment of Pediatrics, Susan B. Meister Child Health Evaluation and Research Center, University of Michigan, Ann Arbor.
Amy S B BohnertVeterans Affairs Center for Clinical Management Research, Veterans Affairs Ann Arbor Health System, Ann Arbor, Michigan.
University of Michigan–Ann Arbor · USBoston University · US

Funding

Using Default Opioid Prescription Settings to Limit Excessive Opioid Prescribing to Adolescents and Young AdultsK08DA048110 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHUA, KAO-PING · 2019 to 2023
$983k
NIDA NIH HHS K08 DA048110
6 · The paper itself

Abstract

Importance: Most prescription opioid misuse involves opioids prescribed to others-a form of opioid diversion. However, few indicators of diversion risk exist. Because family members can often access patients' opioids, one such indicator may be the frequency with which opioid prescriptions are filled by patients when their family members are engaged in opioid prescriber and pharmacy shopping ("doctor and pharmacy shopping"). To date, this frequency has not been estimated. Objective: To estimate the proportion of opioid prescription fills for which family members meet prescriber and pharmacy shopping criteria. Design, Setting, and Participants: A cross-sectional analysis of 2015-2016 claims from a national commercial insurer was conducted from August to October, 2018. The sample included patients without cancer who were covered by family insurance plans and had 1 or more opioid prescription fill in 2016, as measured by prescription drug claims. Fills were the unit of analysis. Main Outcomes and Measures: For each fill in 2016 by the patient and each family member enrolled in the same plan (eg, spouse or child), the number of prescribers and number of pharmacies in the prior 12 months were counted. Prescriber and pharmacy shopping was defined as 4 or more prescribers and 4 or more pharmacies, following a National Quality Forum-endorsed measure. The proportion of fills for which 1 or more family member met criteria and the proportion for which the patient met criteria were calculated. Results: Among 554 417 patients in the sample, 301 297 (54.3%) were female and 48 047 (8.7%) were children. Mean (SD) age was 41.4 (16.4) years. Patients were enrolled in 469 913 plans and, after exclusions, filled 1 471 971 opioid prescriptions in 2016. For 8485 fills (0.6%), 1 or more family member met prescriber and pharmacy shopping criteria. For 44 547 fills (3.0%), the patient met criteria. For 6947 of the 8485 fills (81.9%) for which 1 or more family member met criteria, patients did not meet criteria. When criteria were 3 or more prescribers at 3 or more pharmacies, the proportion of fills for which 1 or more family member met criteria increased to 1.9%. Conclusions and Relevance: In this national study of US patients with private family insurance plans, 0.6% of opioid prescription fills occurred when at least 1 of the patient's family members met prescriber and pharmacy shopping criteria. For most of these fills, patients did not meet criteria. Findings suggest the potential for opioid diversion within families.

Indexed as

AdolescentAdultAgedAnalgesics, OpioidChildChild, PreschoolCross-Sectional StudiesDatabases, FactualDrug PrescriptionsFamilyFemaleHumansMaleMiddle AgedPharmaciesPractice Patterns, Physicians'Analgesics, Opioid

Identifiers

PMID31074819
PMCPMC6512276
OpenAlexW2944379024

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.