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Development and validation of the Capacity to Treat Chronic Pain and Opioid Use Disorder (CAP-POD) questionnaire
BACKGROUND: Patients with co-occurring chronic pain and opioid use disorder (OUD) have unique needs that may present challenges for clinicians and health care systems. Primary care providers’ (PCPs) capacity to deliver high quality, research-informed care for this population is unknown. The objectiv...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978608/ https://www.ncbi.nlm.nih.gov/pubmed/37089127 http://dx.doi.org/10.1177/2633489520948859 |
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author | Varley, Allyson L Goodin, Burel R Copes, Heith Kertesz, Stefan G Fontaine, Kevin Cherrington, Andrea L Hendricks, Peter S |
author_facet | Varley, Allyson L Goodin, Burel R Copes, Heith Kertesz, Stefan G Fontaine, Kevin Cherrington, Andrea L Hendricks, Peter S |
author_sort | Varley, Allyson L |
collection | PubMed |
description | BACKGROUND: Patients with co-occurring chronic pain and opioid use disorder (OUD) have unique needs that may present challenges for clinicians and health care systems. Primary care providers’ (PCPs) capacity to deliver high quality, research-informed care for this population is unknown. The objective of this study was to develop and test a questionnaire of factors influencing PCP capacity to treat co-occurring chronic pain and OUD. METHODS: Capacity to Treat Co-Occurring Chronic Pain and Opioid Use Disorder (CAP-POD) questionnaire items were developed over a 2-year process including literature review, semi-structured interviews, and expert panel review. In 2018, a national sample of 509 PCPs was recruited through email to complete a questionnaire including the initial 44-item draft CAP-POD questionnaire. CAP-POD items were analyzed for dimensionality, inter-item reliability, and construct validity. RESULTS: Principal component analysis resulted in a 22-item questionnaire. Twelve more items were removed for parsimony, resulting in a final 10-item questionnaire with the following 4 scales: (1) Motivation to Treat patients with chronic pain and OUD (α = .87), (2) Trust in Evidence (α = .87), (3) Assessing Risk (α = .82), and (4) Patient Access to therapies (α = .79). These scales were associated with evidence-based practice attitudes, knowledge of pain management, and self-reported behavioral adherence to best practice recommendations. CONCLUSION: We developed a brief, 10-item questionnaire that assesses factors influencing the capacity of PCPs to implement best practice recommendations for the treatment of co-occurring chronic pain and OUD. The questionnaire demonstrated good reliability and initial evidence of validity, and may prove useful in future research as well as clinical settings. PLAIN LANGUAGE ABSTRACT: Patients with co-occurring chronic pain and opioid use disorder (OUD) have unique needs that may present challenges for clinicians and health care systems. Primary care providers’ (PCPs) ability to deliver high quality, research-informed care for this population is unknown. There are no validated instruments to assess factors influencing PCP capacity to implement best practices for treating these patients. The objective of this study was to develop and test a questionnaire of factors influencing PCP capacity to treat co-occurring chronic pain and OUD. We recruited 509 PCPs to participate in an online questionnaire that included 44 potential items that assess PCP capacity. Analyses resulted in a 10-item questionnaire that assesses factors influencing capacity to implement best practice recommendations for the treatment of co-occurring chronic pain and OUD. PCPs reported moderately high confidence in the strength and quality of evidence for best practices, and in their ability to identify patients at risk. However, PCPs reported low motivation to treat co-occurring chronic pain and OUD, and perceived patients’ access to relevant services as suboptimal, highlighting two areas that should be targeted with tailored implementation strategies. The 10-item Capacity to Treat Chronic Pain and Opioid Use Disorder (CAP-POD) questionnaire can be used for two purposes: (1) to assess factors influencing PCP capacity before implementation and identify areas that may require improvement for implementation and (2) to evaluate implementation interventions aimed at increasing PCP capacity to treat this population. |
format | Online Article Text |
id | pubmed-9978608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-99786082023-04-20 Development and validation of the Capacity to Treat Chronic Pain and Opioid Use Disorder (CAP-POD) questionnaire Varley, Allyson L Goodin, Burel R Copes, Heith Kertesz, Stefan G Fontaine, Kevin Cherrington, Andrea L Hendricks, Peter S Implement Res Pract Original Empirical Research BACKGROUND: Patients with co-occurring chronic pain and opioid use disorder (OUD) have unique needs that may present challenges for clinicians and health care systems. Primary care providers’ (PCPs) capacity to deliver high quality, research-informed care for this population is unknown. The objective of this study was to develop and test a questionnaire of factors influencing PCP capacity to treat co-occurring chronic pain and OUD. METHODS: Capacity to Treat Co-Occurring Chronic Pain and Opioid Use Disorder (CAP-POD) questionnaire items were developed over a 2-year process including literature review, semi-structured interviews, and expert panel review. In 2018, a national sample of 509 PCPs was recruited through email to complete a questionnaire including the initial 44-item draft CAP-POD questionnaire. CAP-POD items were analyzed for dimensionality, inter-item reliability, and construct validity. RESULTS: Principal component analysis resulted in a 22-item questionnaire. Twelve more items were removed for parsimony, resulting in a final 10-item questionnaire with the following 4 scales: (1) Motivation to Treat patients with chronic pain and OUD (α = .87), (2) Trust in Evidence (α = .87), (3) Assessing Risk (α = .82), and (4) Patient Access to therapies (α = .79). These scales were associated with evidence-based practice attitudes, knowledge of pain management, and self-reported behavioral adherence to best practice recommendations. CONCLUSION: We developed a brief, 10-item questionnaire that assesses factors influencing the capacity of PCPs to implement best practice recommendations for the treatment of co-occurring chronic pain and OUD. The questionnaire demonstrated good reliability and initial evidence of validity, and may prove useful in future research as well as clinical settings. PLAIN LANGUAGE ABSTRACT: Patients with co-occurring chronic pain and opioid use disorder (OUD) have unique needs that may present challenges for clinicians and health care systems. Primary care providers’ (PCPs) ability to deliver high quality, research-informed care for this population is unknown. There are no validated instruments to assess factors influencing PCP capacity to implement best practices for treating these patients. The objective of this study was to develop and test a questionnaire of factors influencing PCP capacity to treat co-occurring chronic pain and OUD. We recruited 509 PCPs to participate in an online questionnaire that included 44 potential items that assess PCP capacity. Analyses resulted in a 10-item questionnaire that assesses factors influencing capacity to implement best practice recommendations for the treatment of co-occurring chronic pain and OUD. PCPs reported moderately high confidence in the strength and quality of evidence for best practices, and in their ability to identify patients at risk. However, PCPs reported low motivation to treat co-occurring chronic pain and OUD, and perceived patients’ access to relevant services as suboptimal, highlighting two areas that should be targeted with tailored implementation strategies. The 10-item Capacity to Treat Chronic Pain and Opioid Use Disorder (CAP-POD) questionnaire can be used for two purposes: (1) to assess factors influencing PCP capacity before implementation and identify areas that may require improvement for implementation and (2) to evaluate implementation interventions aimed at increasing PCP capacity to treat this population. SAGE Publications 2020-09-15 /pmc/articles/PMC9978608/ /pubmed/37089127 http://dx.doi.org/10.1177/2633489520948859 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Empirical Research Varley, Allyson L Goodin, Burel R Copes, Heith Kertesz, Stefan G Fontaine, Kevin Cherrington, Andrea L Hendricks, Peter S Development and validation of the Capacity to Treat Chronic Pain and Opioid Use Disorder (CAP-POD) questionnaire |
title | Development and validation of the Capacity to Treat Chronic Pain and
Opioid Use Disorder (CAP-POD) questionnaire |
title_full | Development and validation of the Capacity to Treat Chronic Pain and
Opioid Use Disorder (CAP-POD) questionnaire |
title_fullStr | Development and validation of the Capacity to Treat Chronic Pain and
Opioid Use Disorder (CAP-POD) questionnaire |
title_full_unstemmed | Development and validation of the Capacity to Treat Chronic Pain and
Opioid Use Disorder (CAP-POD) questionnaire |
title_short | Development and validation of the Capacity to Treat Chronic Pain and
Opioid Use Disorder (CAP-POD) questionnaire |
title_sort | development and validation of the capacity to treat chronic pain and
opioid use disorder (cap-pod) questionnaire |
topic | Original Empirical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978608/ https://www.ncbi.nlm.nih.gov/pubmed/37089127 http://dx.doi.org/10.1177/2633489520948859 |
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