Evidence map›Paper›PMID 30156454›Full record

ArticleJournal of managed care & specialty pharmacy2018

Prescription Opioid Quality Measures Applied Among Pennsylvania Medicaid Enrollees.

Gerald Cochran, Wei-Hsuan Lo-Ciganic, Walid F Gellad, Adam J Gordon, Evan Cole, Carroline Lobo, Winfred Frazier, Ping Zheng, Chung-Chou H Chang, David Kelley and 1 more

Abstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

11 authors.

Gerald Cochran1 University of Pittsburgh School of Social Work; University of Pittsburgh School of Medicine, Department of Psychiatry; and University of Pittsburgh Center for Pharmaceutical Policy and Prescribing, Pittsburgh, Pennsylvania.
Wei-Hsuan Lo-Ciganic6 University of Arizona College of Pharmacy, Tucson.
Walid F Gellad2 VA Pittsburgh Healthcare System; University of Pittsburgh School of Medicine, Division of General Internal Medicine; and University of Pittsburgh Center for Pharmaceutical Policy and Prescribing, Pittsburgh, Pennsylvania.
Adam J Gordon7 University of Utah School of Medicine, Division of General Internal Medicine, and VA Salt Lake City Healthcare System, Salt Lake City, Utah.
Evan Cole3 University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.
Carroline Lobo3 University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.
Winfred Frazier4 University of Pittsburgh School of Medicine, Division of General Internal Medicine, Pittsburgh, Pennsylvania.
Ping Zheng3 University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.
Chung-Chou H Chang5 University of Pittsburgh Graduate School of Public Health, and University of Pittsburgh Center for Pharmaceutical Policy and Prescribing, Pittsburgh, Pennsylvania.
David Kelley8 Medical Assistance Programs, Pennsylvania Department of Human Services, Harrisburg, Pennsylvania.
Julie M Donohue5 University of Pittsburgh Graduate School of Public Health, and University of Pittsburgh Center for Pharmaceutical Policy and Prescribing, Pittsburgh, Pennsylvania.

Funding

The Influence of Formulary Management Strategies on Opioid Medication Use.U01CE002496 · CE · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COCHRAN, GERALD T., DONOHUE, JULIE MARIE · 2014 to 2015
$400k
NCIPC CDC HHS U01 CE002496
6 · The paper itself

Abstract

backgroundThe Pharmacy Quality Alliance (PQA) recently developed 3 quality measures for prescribing opioids: high dosages, multiple providers and pharmacies, and concurrent use of opioids and benzodiazepines.

objectiveTo examine the prevalence of the PQA measures and identify the patient demographic and health characteristics associated with the measures.

methodsWe conducted a cross-sectional analysis using Pennsylvania Medicaid data (2013-2015). We limited our analyses to noncancer patients who were aged 18-64 years and not dual-eligible for Medicare/Medicaid. Per PQA specifications, patients were required to possess ≥ 2 opioid prescriptions for ≥ 15 days annual supply each year. Outcome measures included (a) high dosages, defined as > 120 morphine milligram equivalents for ≥ 90 consecutive days; (b) multiple providers/pharmacies, defined as receiving opioid prescriptions from ≥ 4 providers and ≥ 4 pharmacies; and (c) concurrent use of opioids and benzodiazepines, defined as ≥ 30 cumulative days of overlapping opioids and benzodiazepines among individuals having ≥ 2 opioid and ≥ 2 benzodiazepine fills. Patient characteristics assessed included demographics; other medication use; and physical, mental, and behavioral health comorbidities. We present descriptive and multivariable statistical analyses of the data to describe trends in quality measure prevalence and associations with enrollee health characteristics.

resultsNumbers of enrollees meeting inclusion criteria ranged from 73,082 in 2013 to 85,710 in 2015. From 2013 to 2015, high dosage prevalence increased from 5.1% to 5.5%; the use of multiple providers/pharmacies decreased from 7.1% to 5.0%; and concurrent use of opioids and benzodiazepines decreased from 29.1% to 28.4% (all P < 0.05). A substantial portion of patients with > 1 PQA measure from 2013 to 2015 was eligible for Medicaid because of disability (41.8%-81.9%). Enrollees with opioid use disorder were more likely to have high dosages (adjusted odds ratio [AOR] = 2.01, 95% CI = 1.83-2.21). Enrollees with anxiety and mood disorders were more likely to have multiple providers/pharmacies (anxiety: AOR = 1.54, 95% CI = 1.43-1.65; mood: AOR = 1.15, 95% CI = 1.06-1.25) and concurrent use of opioids and benzodiazepines (anxiety: AOR = 3.50, 95% CI = 3.38-3.63; mood: AOR = 1.42, 95% CI = 1.36-1.48).

conclusionsGiven high levels of eligibility based on disability and the prevalence of mood, anxiety, and opioid use disorders among those identified by the quality measures, providers may require additional support to care for this patient population. DISCLOSURES: This project was supported by a grant from the Centers for Disease Control and Prevention and was also supported by an intergovernmental agreement between the Pennsylvania Department of Human Services and the University of Pittsburgh. Lo-Ciganic was supported by the University of Arizona Health Sciences Career Development Award. The other authors have nothing to disclose. The conclusions, findings, and opinions expressed by authors contributing to this article do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the Commonwealth of Pennsylvania. A portion of these results was presented at the Association for Medical Education and Research in Substance Abuse 41st National Conference; November 2-4, 2017; Washington, DC.

Indexed as

AdolescentAdultAnalgesics, OpioidCohort StudiesCross-Sectional StudiesFemaleHumansMaleMedicaidMiddle AgedOpioid-Related DisordersPennsylvaniaQuality of Health CareUnited StatesYoung AdultAnalgesics, Opioid

Identifiers

PMID30156454
PMCPMC6418411

What OpenQuestion holds

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Registered trials

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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.