Evidence map›Paper›PMID 37907915›Full record

ArticleBMC health services research2023

Physician perspective on the implementation of risk mitigation strategies when prescribing opioid medications: a qualitative analysis.

Vaishnavi Tata, Randa Al Saadi, Sang Kyu Cho, Tyler J Varisco, Matthew Wanat, J Douglas Thornton

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Vaishnavi TataDepartment of Pharmaceutical Health Outcomes and Policy, University of Houston College of Pharmacy, 4349 Martin Luther King Jr. Blvd, Houston, TX, 77204, USA. vtata@central.uh.edu.ORCID http://orcid.org/0000-0001-8024-9743
Randa Al SaadiDepartment of Pharmaceutical Health Outcomes and Policy, University of Houston College of Pharmacy, 4349 Martin Luther King Jr. Blvd, Houston, TX, 77204, USA. rhalsaad@central.uh.edu.
Sang Kyu ChoDepartment of Pharmaceutical Health Outcomes and Policy, University of Houston College of Pharmacy, 4349 Martin Luther King Jr. Blvd, Houston, TX, 77204, USA.
Tyler J VariscoDepartment of Pharmaceutical Health Outcomes and Policy, University of Houston College of Pharmacy, 4349 Martin Luther King Jr. Blvd, Houston, TX, 77204, USA.
Matthew WanatPrescription Drug Misuse and Education Research (PREMIER) Center, University of Houston College of Pharmacy, Houston, TX, 77204, USA.ORCID http://orcid.org/0000-0003-4832-8200
J Douglas ThorntonDepartment of Pharmaceutical Health Outcomes and Policy, University of Houston College of Pharmacy, 4349 Martin Luther King Jr. Blvd, Houston, TX, 77204, USA.ORCID http://orcid.org/0000-0001-6017-7500

Funding

Texas Health and Human Services Commission 1H79TI083288
6 · The paper itself

Abstract

objectiveTo understand the physician perspective on the barriers and facilitators of implementing nine different opioid risk mitigation strategies (RMS) when prescribing opioid medications.

methodsWe created and dispersed a cross-sectional online survey through the Qualtrics© data collection platform among a nationwide sample of physicians licensed to practice medicine in the United States who have prescribed an opioid medication within the past year. The responses were analyzed using a deductive thematic analysis approach based on the Consolidated Framework for Implementation Research (CFIR) to ensure a holistic approach to identifying the barriers and facilitators for each RMS assessed. In concordance with this method, the themes and codes for the thematic analysis were defined prior to the analysis. The five domains within the CFIR were used as themes and the 39 nested constructs were treated as the codes. Two members of the research team independently coded the transcripts and discussed points of disagreement until consensus was reached. All analyses were conducted in ATLAS.ti© V7.

resultsThe completion rate for this survey was 85.1% with 273 participant responses eligible for analysis. Intercoder reliability was calculated to be 82%. Deductive thematic analysis yielded 2,077 descriptions of factors affecting implementation of the nine RMS. The most salient code across all RMS was Knowledge and Beliefs about the Intervention, which refers to individuals' attitudes towards and value placed on the intervention. Patient Needs and Resources, a code referring to the extent to which patient needs are known and prioritized by the organization, also emerged as a salient code. The physicians agreed that the patient perspective on the issue is vital to the uptake of each of the RMS.

conclusionsThis deductive thematic analysis identified key points for actionable intervention across the nine RMS assessed and established the importance of patient concordance with physicians when deciding on a course of treatment.

Indexed as

Analgesics, OpioidPhysiciansCross-Sectional StudiesHumansQualitative ResearchReproducibility of ResultsUnited StatesAnalgesics, OpioidImplementation scienceOpioid risk mitigationQualitative analysisRisk Mitigation StrategyThematic analysis

Identifiers

PMID37907915
PMCPMC10617230

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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.