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

OBJECTIVE: To understand the physician perspective on the barriers and facilitators of implementing nine different opioid risk mitigation strategies (RMS) when prescribing opioid medications. METHODS: We created and dispersed a cross-sectional online survey through the Qualtrics© data collection pla...

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Autores principales: Tata, Vaishnavi, Al Saadi, Randa, Cho, Sang Kyu, Varisco, Tyler J., Wanat, Matthew, Thornton, J. Douglas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617230/
https://www.ncbi.nlm.nih.gov/pubmed/37907915
http://dx.doi.org/10.1186/s12913-023-10136-z
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author Tata, Vaishnavi
Al Saadi, Randa
Cho, Sang Kyu
Varisco, Tyler J.
Wanat, Matthew
Thornton, J. Douglas
author_facet Tata, Vaishnavi
Al Saadi, Randa
Cho, Sang Kyu
Varisco, Tyler J.
Wanat, Matthew
Thornton, J. Douglas
author_sort Tata, Vaishnavi
collection PubMed
description OBJECTIVE: To understand the physician perspective on the barriers and facilitators of implementing nine different opioid risk mitigation strategies (RMS) when prescribing opioid medications. METHODS: We 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. RESULTS: The 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. CONCLUSIONS: This 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10136-z.
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spelling pubmed-106172302023-11-01 Physician perspective on the implementation of risk mitigation strategies when prescribing opioid medications: a qualitative analysis Tata, Vaishnavi Al Saadi, Randa Cho, Sang Kyu Varisco, Tyler J. Wanat, Matthew Thornton, J. Douglas BMC Health Serv Res Research OBJECTIVE: To understand the physician perspective on the barriers and facilitators of implementing nine different opioid risk mitigation strategies (RMS) when prescribing opioid medications. METHODS: We 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. RESULTS: The 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. CONCLUSIONS: This 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10136-z. BioMed Central 2023-10-31 /pmc/articles/PMC10617230/ /pubmed/37907915 http://dx.doi.org/10.1186/s12913-023-10136-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Tata, Vaishnavi
Al Saadi, Randa
Cho, Sang Kyu
Varisco, Tyler J.
Wanat, Matthew
Thornton, J. Douglas
Physician perspective on the implementation of risk mitigation strategies when prescribing opioid medications: a qualitative analysis
title Physician perspective on the implementation of risk mitigation strategies when prescribing opioid medications: a qualitative analysis
title_full Physician perspective on the implementation of risk mitigation strategies when prescribing opioid medications: a qualitative analysis
title_fullStr Physician perspective on the implementation of risk mitigation strategies when prescribing opioid medications: a qualitative analysis
title_full_unstemmed Physician perspective on the implementation of risk mitigation strategies when prescribing opioid medications: a qualitative analysis
title_short Physician perspective on the implementation of risk mitigation strategies when prescribing opioid medications: a qualitative analysis
title_sort physician perspective on the implementation of risk mitigation strategies when prescribing opioid medications: a qualitative analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617230/
https://www.ncbi.nlm.nih.gov/pubmed/37907915
http://dx.doi.org/10.1186/s12913-023-10136-z
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