Evidence map›Paper›PMID 30856660›Full record

ArticleAnnals of internal medicine2019

Dual Receipt of Prescription Opioids From the Department of Veterans Affairs and Medicare Part D and Prescription Opioid Overdose Death Among Veterans: A Nested Case-Control Study.

Patience Moyo, Xinhua Zhao, Carolyn T Thorpe, Joshua M Thorpe, Florentina E Sileanu, John P Cashy, Jennifer A Hale, Maria K Mor, Thomas R Radomski, Julie M Donohue and 5 more

Open access · greenAbstract read
In one paragraph

Article in Annals of internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  5. Observational
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  9. Prevalence of Opioid Use in Nursing Homes Over the Last Decade: A Systematic Literature Review.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2024
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  18. Misalignment of Stakeholder Incentives in the Opioid Crisis.International journal of environmental research and public health · 2020
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 1 country.

Patience MoyoBrown University School of Public Health, Providence, Rhode Island (P.M.).
Xinhua ZhaoVA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania (X.Z., F.E.S., J.P.C., J.A.H.).
Carolyn T ThorpeVA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, and University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina (C.T.T., J.M.T.).
Joshua M ThorpeVA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, and University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina (C.T.T., J.M.T.).
Florentina E SileanuVA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania (X.Z., F.E.S., J.P.C., J.A.H.).
John P CashyVA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania (X.Z., F.E.S., J.P.C., J.A.H.).
Jennifer A HaleVA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania (X.Z., F.E.S., J.P.C., J.A.H.).
Maria K MorVA Pittsburgh Healthcare System and University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania (M.K.M., J.M.D.).
Thomas R RadomskiVA Pittsburgh Healthcare System and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania (T.R.R., L.R.H., M.J.F.).
Julie M DonohueVA Pittsburgh Healthcare System and University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania (M.K.M., J.M.D.).
Leslie R M HausmannVA Pittsburgh Healthcare System and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania (T.R.R., L.R.H., M.J.F.).
Joseph T HanlonUniversity of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania; VA Pittsburgh Healthcare System and University of Pittsburgh, Pittsburgh, Pennsylvania (J.T.H.).
Chester B GoodVA Pittsburgh Healthcare System, University of Pittsburgh School of Medicine, and UPMC Health Plan, Pittsburgh, Pennsylvania (C.B.G.).
Michael J FineVA Pittsburgh Healthcare System and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania (T.R.R., L.R.H., M.J.F.).
Walid F GelladVA Pittsburgh Healthcare System, and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania (W.F.G.).
VA Pittsburgh Healthcare System · USUniversity of Pittsburgh · USBrown University · US

Funding

Safety of Opioid use Among Veterans Receiving Care in Multiple Health SystemsI01HX001765 · VA · VETERANS HEALTH ADMINISTRATION · PI GELLAD, WALID F. · 2015 to 2021
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Improving Analysis of Endogenous Multimodal Treatments for Use in Geriatrics Health Outcomes StudiesI01HX002237 · VA · VA BOSTON HEALTH CARE SYSTEM · PI GARRIDO, MELISSA M · 2018 to 2021
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HSRD VA I01 HX001765HSRD VA SDR 02-237
6 · The paper itself

Abstract

Background: More than half of enrollees in the U.S. Department of Veterans Affairs (VA) are also covered by Medicare and can choose to receive their prescriptions from VA or from Medicare-participating providers. Such dual-system care may lead to unsafe opioid use if providers in these 2 systems do not coordinate care or if prescription use is not tracked between systems. Objective: To evaluate the association between dual-system opioid prescribing and death from prescription opioid overdose. Design: Nested case-control study. Setting: VA and Medicare Part D. Participants: Case and control patients were identified from all veterans enrolled in both VA and Part D who filled at least 1 opioid prescription from either system. The 215 case patients who died of a prescription opioid overdose in 2012 or 2013 were matched (up to 1:4) with 833 living control patients on the basis of date of death (that is, index date), using age, sex, race/ethnicity, disability, enrollment in Medicaid or low-income subsidies, managed care enrollment, region and rurality of residence, and a medication-based measure of comorbid conditions. Measurements: The exposure was the source of opioid prescriptions within 6 months of the index date, categorized as VA only, Part D only, or VA and Part D (that is, dual use). The outcome was unintentional or undetermined-intent death from prescription opioid overdose, identified from the National Death Index. The association between this outcome and source of opioid prescriptions was estimated using conditional logistic regression with adjustment for age, marital status, prescription drug monitoring programs, and use of other medications. Results: Among case patients, the mean age was 57.3 years (SD, 9.1), 194 (90%) were male, and 181 (84%) were non-Hispanic white. Overall, 60 case patients (28%) and 117 control patients (14%) received dual opioid prescriptions. Dual users had significantly higher odds of death from prescription opioid overdose than those who received opioids from VA only (odds ratio [OR], 3.53 [95% CI, 2.17 to 5.75]; P < 0.001) or Part D only (OR, 1.83 [CI, 1.20 to 2.77]; P = 0.005). Limitation: Data are from 2012 to 2013 and cannot capture prescriptions obtained outside the VA or Medicare Part D systems. Conclusion: Among veterans enrolled in VA and Part D, dual use of opioid prescriptions was independently associated with death from prescription opioid overdose. This risk factor for fatal overdose among veterans underscores the importance of care coordination across health care systems to improve opioid prescribing safety. Primary Funding Source: U.S. Department of Veterans Affairs.

Indexed as

VeteransAdolescentAdultAgedAnalgesics, OpioidCase-Control StudiesDrug OverdoseDrug PrescriptionsFemaleHumansInappropriate PrescribingMaleMedicare Part DMiddle AgedUnited StatesUnited States Department of Veterans AffairsAnalgesics, Opioid

Identifiers

PMID30856660
PMCPMC6736692
OpenAlexW2921548537

What OpenQuestion holds

Textmetadata
LicenceTDM
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.