Evidence map›Paper›PMID 32359670›Full record

ArticleJournal of substance abuse treatment2020

Primary care experiences of veterans with opioid use disorder in the Veterans Health Administration.

Audrey L Jones, Stefan G Kertesz, Leslie R M Hausmann, Maria K Mor, Ying Suo, Warren B P Pettey, James H Schaefer, Adi V Gundlapalli, Adam J Gordon

Abstract read
In one paragraph

Article in Journal of substance abuse treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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

9 authors.

Audrey L JonesInformatics, Decision Enhancement and Analytic Sciences Center (IDEAS), VA Salt Lake City Health Care System, Salt Lake City, UT, USA; Division of Epidemiology, Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA. Electronic address: Audrey.Jones3@va.gov.
Stefan G KerteszBirmingham VA Medical Center, Birmingham, AL, USA; University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA. Electronic address: skertesz@uabmc.edu.
Leslie R M HausmannCenter for Health Equity and Promotion (CHERP), VA Pittsburgh Healthcare System, Pittsburgh, PA, USA; Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. Electronic address: Leslie.Hausmann@va.gov.
Maria K MorCenter for Health Equity and Promotion (CHERP), VA Pittsburgh Healthcare System, Pittsburgh, PA, USA; Department of Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA. Electronic address: Maria.Mor@va.gov.
Ying SuoInformatics, Decision Enhancement and Analytic Sciences Center (IDEAS), VA Salt Lake City Health Care System, Salt Lake City, UT, USA; Division of Epidemiology, Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA. Electronic address: Ying.Suo@hsc.utah.edu.
Warren B P PetteyInformatics, Decision Enhancement and Analytic Sciences Center (IDEAS), VA Salt Lake City Health Care System, Salt Lake City, UT, USA; Division of Epidemiology, Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA. Electronic address: Warren.Pettey@hsc.utah.edu.
James H SchaeferDepartment of Veterans Affairs Office of Reporting, Analytics, Performance, Improvement and Deployment, Durham, NC, USA. Electronic address: James.Schaefer@va.gov.
Adi V GundlapalliInformatics, Decision Enhancement and Analytic Sciences Center (IDEAS), VA Salt Lake City Health Care System, Salt Lake City, UT, USA; Division of Epidemiology, Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA. Electronic address: Adi.Gundlapalli@hsc.utah.edu.
Adam J GordonInformatics, Decision Enhancement and Analytic Sciences Center (IDEAS), VA Salt Lake City Health Care System, Salt Lake City, UT, USA; Division of Epidemiology, Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA; Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA. Electronic address: Adam.Gordon@va.gov.

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Greater Intermountain Node (CTN-0151)UG1DA049444 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Gerald T. Cochran, Gerald T. Cochran · 2019 to 2026
$16.8M
Vascular Health and Risk Factors in Children with Down SyndromeKL2TR002539 · NCATS · UNIVERSITY OF UTAH · PI MURTAUGH, MAUREEN A, NYGAARD, INGRID E · 2018 to 2022
$4.3M
NCATS NIH HHS KL2 TR002539NCATS NIH HHS UL1 TR002538NIDA NIH HHS UG1 DA049444
6 · The paper itself

Abstract

backgroundWhile patients with substance use disorders (SUDs) are thought to encounter poor primary care experiences, the perspectives of patients with opioid use disorder (OUD), specifically, are unknown. This study compares the primary care experiences of patients with OUD, other SUDs and no SUD in the Veterans Health Administration.

methodsThe sample included Veterans who responded to the national Patient-Centered Medical Home Survey of Healthcare Experiences of Patients, 2013-2015. Respondents included 3554 patients with OUD, 36,175 with other SUDs, and 756,386 with no SUD; 742 OUD-diagnosed patients received buprenorphine. Multivariable multinomial logistic regressions estimated differences in the probability of reporting positive and negative experiences (0-100 scale) for patients with OUD, compared to patients with other SUDs and no SUD, and for OUD-diagnosed patients treated versus not treated with buprenorphine.

resultsOf all domains, patients with OUD reported the least positive experiences with access (31%) and medication decision-making (35%), and the most negative experiences with self-management support (35%) and provider communication (23%). Compared to the other groups, patients diagnosed with OUD reported fewer positive and/or more negative experiences with access, communication, office staff, provider ratings, comprehensiveness, care coordination, and self-management support (adjusted risk differences[aRDs] range from |2.9| to |7.0|). Among OUD-diagnosed patients, buprenorphine was associated with more positive experiences with comprehensiveness (aRD = 8.3) and self-management support (aRD = 7.1), and less negative experiences with care coordination (aRD = -4.9) and medication shared decision-making (aRD = -5.4).

conclusionsIn a national sample, patients diagnosed with OUD encounter less positive and more negative experiences than other primary care patients, including those with other SUDs. Buprenorphine treatment relates positively to experiences with care comprehensiveness, medication decisions, and care coordination. As stakeholders encourage more primary care providers to manage OUD, it will be important for healthcare systems to attend to patient access and experiences with care in these settings.

Indexed as

BuprenorphineOpioid-Related DisordersVeteransHumansOpiate Substitution TreatmentPrimary Health CareVeterans HealthBuprenorphine

Identifiers

PMID32359670
PMCPMC7773034

What OpenQuestion holds

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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.