Evidence map›Paper›PMID 32945874›Full record

ArticleJAMA network open2020

Assessment of Opioid Prescribing Patterns in a Large Network of US Community Health Centers, 2009 to 2018.

John Muench, Katie Fankhauser, Robert W Voss, Nathalie Huguet, Daniel M Hartung, Jean O'Malley, Steffani R Bailey, Stuart Cowburn, Dagan Wright, Gordon Barker and 2 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.3field-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

18 citing papers in PubMed, 29 citations in OpenAlex.

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  9. Opioid Prescribing by Dentists in the Veterans Health Administration.American journal of preventive medicine · 2022
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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

12 authors at 2 institutions in 1 country.

John MuenchDepartment of Family Medicine, Oregon Health & Science University, Portland.
Katie FankhauserDepartment of Family Medicine, Oregon Health & Science University, Portland.
Robert W VossOCHIN Inc, Portland, Oregon.
Nathalie HuguetDepartment of Family Medicine, Oregon Health & Science University, Portland.
Daniel M HartungDepartment of Pharmacy Practice, Oregon State University, Portland.
Jean O'MalleyDepartment of Family Medicine, Oregon Health & Science University, Portland.
Steffani R BaileyDepartment of Family Medicine, Oregon Health & Science University, Portland.
Stuart CowburnOCHIN Inc, Portland, Oregon.
Dagan WrightOCHIN Inc, Portland, Oregon.
Gordon BarkerOCHIN Inc, Portland, Oregon.
Maria UkhanovaDepartment of Family Medicine, Oregon Health & Science University, Portland.
Irina ChamineDepartment of Family Medicine, Oregon Health & Science University, Portland.
Oregon Health & Science University · USOchin · US

Funding

Western States Node of the National Drug Abuse Treatment Clinical Trials Network (TMS for CUD) UG1DA015815 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Keith N. Humphreys, Philip Todd Korthuis · 2015 to 2026
$24.6M
EpiCenter ? EPIdemiology of opioid prescribing in community health CENTERsR01DA046468 · NIDA · OREGON STATE UNIVERSITY · PI HARTUNG, DANIEL M · 2018 to 2022
$2.5M
NIDA NIH HHS R01 DA046468NIDA NIH HHS UG1 DA015815
6 · The paper itself

Abstract

Importance: Understanding opioid prescribing patterns in community health centers (CHCs) that disproportionately serve low-income patients may help to guide strategies to reduce opioid-related harms. Objective: To assess opioid prescribing patterns between January 1, 2009, and December 31, 2018, in a network of safety-net clinics serving high-risk patients. Design, Setting, and Participants: Cross-sectional study of 3 227 459 opioid prescriptions abstracted from the electronic health records of 2 129 097 unique primary care patients treated from 2009 through 2018 at a network of CHCs that included 449 clinic sites in 17 states. All age groups were included in the analysis. Main Outcomes and Measures: The following measures were described at the population level for each study year: (1) percentage of patients with at least 1 prescription for an opioid by age and sex, (2) number of opioid prescriptions per 100 patients, (3) number of long-acting opioid prescriptions per 100 patients, (4) mean annual morphine milligram equivalents (MMEs) per patient, (5) mean MME per prescription, (6) number of chronic opioid users, and (7) mean of high-dose opioid users. Results: The study population included 2 129 097 patients (1 158 413 women [54.4%]) with a mean (SD) age of 32.2 (21.1) years and a total of 3 227 459 opioid prescriptions. The percentage of patients receiving at least 1 opioid prescription in a calendar year declined 67.4% from 15.9% in 2009 to 5.2% in 2018. Over the 10-year study period, a greater percentage of women received a prescription (13.1%) compared with men (10.9%), and a greater percentage of non-Hispanic White patients (18.1%) received an opioid prescription compared with non-Hispanic Black patients (9.5%), non-Hispanic patients who self-identified as other races (8.0%), and Hispanic patients (6.9%). The number of opioid prescriptions for every 100 patients decreased 73.7% from 110.8 in 2009 to 29.1 in 2018. The number of long-acting opioids for every 100 patients decreased 85.5% during the same period, from 22.0 to 3.2. The MMEs per patient decreased from 1682.7 in 2009 to 243.1 in 2018, a decline of 85.6%. Conclusions and Relevance: In this cross-sectional study, the opioid prescribing rate in 2009 in the CHC network was higher than national population estimates but began to decline earlier and more precipitously. This finding likely reflects harm mitigation policies and efforts at federal, state, and clinic levels and strong clinical quality improvement strategies within the CHCs.

Indexed as

Primary Health CareAdultAnalgesics, OpioidCommunity Health CentersCommunity NetworksCross-Sectional StudiesDelayed-Action PreparationsElectronic Health RecordsEthnicityFemaleHumansMaleMedication Therapy ManagementPractice Patterns, Physicians'Quality ImprovementSex FactorsAnalgesics, OpioidDelayed-Action Preparations

Identifiers

PMID32945874
PMCPMC7501536
OpenAlexW3087301383

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.