Evidence map›Paper›PMID 31456497›Full record

ArticleJournal of managed care & specialty pharmacy2019

Characteristics of New Opioid Use Among Medicare Beneficiaries: Identifying High-Risk Patterns.

Sudha R Raman, Christopher Bush, Ruchir N Karmali, Lawrence H Greenblatt, Andrew W Roberts, Asheley C Skinner

Open access · bronzeAbstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 11% 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, 16 citations in OpenAlex.

  1. Advancing the conversation: 30 years of scholarship in managed care pharmacy.Journal of managed care & specialty pharmacy · 2025
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  7. ABCs of Pain: A Functional Scale Measuring Perioperative Pain in Total Hip Arthroplasty Patients.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2021
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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

6 authors at 2 institutions in 1 country.

Sudha R RamanDepartment of Population Health Sciences, Duke University School of Medicine, and Duke Clinical Research Institute, Duke University, Durham, North Carolina.
Christopher BushDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.
Ruchir N KarmaliDepartment of Population Health Sciences, Duke University School of Medicine and Duke Clinical Research Institute, Duke University, Durham, North Carolina, and Division of Research, Kaiser Permanente Northern California, Oakland.
Lawrence H GreenblattDepartment of Medicine and Department of Community and Family Medicine, Duke University School of Medicine, Durham, North Carolina.
Andrew W RobertsDepartment of Population Health and Department of Anesthesiology, University of Kansas Medical Center, Kansas City.
Asheley C SkinnerDepartment of Population Health Sciences, Duke University School of Medicine, and Duke Clinical Research Institute, Duke University, Durham, North Carolina.
Clinical Research Institute · USDuke University · US

Funding

Institutional Career Development CoreKL2TR002367 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI MATTHEW W MOSCONI, NICOLE L NOLLEN · 2017 to 2026
$7.3M
Heartland Institute for Clinical and Translational ResearchKL2TR000119 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BAROHN, RICHARD J. · 2012 to 2015
$2.5M
NCATS NIH HHS KL2 TR002367
6 · The paper itself

Abstract

backgroundOpioid prescription patterns, including long-term use, multiple prescribers, and high opioid doses, increase the risk for adverse outcomes; however, previous research in older adult populations has primarily described opioid dose patterns using average daily dose measures or using very high thresholds (i.e., > 100 morphine milligram equivalents [MME] per day).

objectiveTo describe prescription patterns by peak dose among older adults who have newly initiated opioid use in 2014 and describe long-term opioid use and the use of multiple pharmacies and prescribers among those with peak opioid doses over 50 and over 90 MME per day.

methodsThis was a retrospective cohort study of Medicare Part D prescription claims data (5% sample) for beneficiaries aged 65 years and older who were prescribed ≥ 1 opioid prescription in 2014 and did not have an opioid prescription in the preceding 180 days. Within a 1-year period of follow-up, we used prescription claims to characterize individuals' opioid exposure, measuring long-term opioid use (≥ 90 days of continuous opioid supply), unique opioid prescribers, and unique opioid-dispensing pharmacies. Peak MME was defined as the maximum daily MME received across all overlapping opioid prescriptions in the observation period.

results144,127 beneficiaries without an opioid prescription in the previous 6 months filled ≥ 1 opioid prescription in 2014. During the 1-year follow-up period, 6.5% of beneficiaries transitioned to long-term opioid use; 39.5% received opioid prescriptions from > 1 prescriber; 18.1% filled opioid prescriptions from > 1 pharmacy; and 21.8% had a peak MME of 50-89. Among the 28.1% of beneficiaries exposed to a peak MME > 50, 8.6% developed long-term opioid use; 7.0% had 3 or more opioid dispensing pharmacies; and 28.0% had 3 or more opioid prescribers. Among the 6.2% of beneficiaries exposed to a peak MME ≥ 90, 18.5% developed long-term opioid use; 13.0% had 3 or more opioid dispensing pharmacies; and 39.6% had 3 or more opioid prescribers.

conclusionsHigh doses of opioids were prescribed for about one quarter (28%) of Medicare beneficiaries with new opioid use in 2014. Having multiple opioid prescribers or multiple opioid dispensing pharmacies was common, especially among those prescribed higher doses. These prescription patterns can be particularly helpful to identify older adults with increased opioid-related risk. DISCLOSURES: No funding supported this study. Raman reports research grants from GlaxoSmithKline not related to this study. Roberts was supported by a CTSA grant from NCATS awarded to the University of Kansas Medical Center for Frontiers: The Heartland Institute for Clinical and Translational Research (#KL2TR000119). The other authors have no potential conflicts to report.

Indexed as

AgedAged, 80 and overAnalgesics, OpioidFemaleHumansMaleMedicareOpioid-Related DisordersPharmaceutical ServicesPharmaciesPractice Patterns, Physicians'Prescription Drug MisuseRetrospective StudiesUnited StatesAnalgesics, Opioid

Identifiers

PMID31456497
PMCPMC7121919
OpenAlexW2970947730

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.