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Quality indicators for osteoarthritis pain management in the primary care setting
BACKGROUND: Development of valid and feasible quality indicators (QIs) is needed to track quality initiatives for osteoarthritis pain management in primary care settings. METHODS: Literature search identified published guidelines that were reviewed for QI extraction. A panel of 14 experts was assemb...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311862/ https://www.ncbi.nlm.nih.gov/pubmed/37391737 http://dx.doi.org/10.1186/s12891-023-06637-x |
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author | Rizk, Elsie Tajchman, Sharla Fink, Ezekiel Aryal, Dipendra K. Iso, Tomona Flores, Eleazar Brown, Anthony E. Chokshi, Sagar P. Desai, Shetal-Nicholas Dewan, Ashvin K. Kazzaz, Sarah A. Guevara, Myriam Nagaraj, Sudha Robben, Christopher P. Vittone, Veronica Swan, Joshua T. |
author_facet | Rizk, Elsie Tajchman, Sharla Fink, Ezekiel Aryal, Dipendra K. Iso, Tomona Flores, Eleazar Brown, Anthony E. Chokshi, Sagar P. Desai, Shetal-Nicholas Dewan, Ashvin K. Kazzaz, Sarah A. Guevara, Myriam Nagaraj, Sudha Robben, Christopher P. Vittone, Veronica Swan, Joshua T. |
author_sort | Rizk, Elsie |
collection | PubMed |
description | BACKGROUND: Development of valid and feasible quality indicators (QIs) is needed to track quality initiatives for osteoarthritis pain management in primary care settings. METHODS: Literature search identified published guidelines that were reviewed for QI extraction. A panel of 14 experts was assembled, including primary care physicians, rheumatologists, orthopedic surgeons, pain specialists, and outcomes research pharmacists. A screening survey excluded QIs that cannot be reliably extracted from the electronic health record or that are irrelevant for osteoarthritis in primary care settings. A validity screening survey used a 9-point Likert scale to rate the validity of each QI based on predefined criteria. During expert panel discussions, stakeholders revised QI wording, added new QIs, and voted to include or exclude each QI. A priority survey used a 9-point Likert scale to prioritize the included QIs. RESULTS: Literature search identified 520 references published from January 2015 to March 2021 and 4 additional guidelines from professional/governmental websites. The study included 41 guidelines. Extraction of 741 recommendations yielded 115 candidate QIs. Feasibility screening excluded 28 QIs. Validity screening and expert panel discussion excluded 73 QIs and added 1 QI. The final set of 15 prioritized QIs focused on pain management safety, education, weight-management, psychological wellbeing, optimizing first-line medications, referral, and imaging. CONCLUSION: This multi-disciplinary expert panel established consensus on QIs for osteoarthritis pain management in primary care settings by combining scientific evidence with expert opinion. The resulting list of 15 prioritized, valid, and feasible QIs can be used to track quality initiatives for osteoarthritis pain management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-023-06637-x. |
format | Online Article Text |
id | pubmed-10311862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103118622023-07-01 Quality indicators for osteoarthritis pain management in the primary care setting Rizk, Elsie Tajchman, Sharla Fink, Ezekiel Aryal, Dipendra K. Iso, Tomona Flores, Eleazar Brown, Anthony E. Chokshi, Sagar P. Desai, Shetal-Nicholas Dewan, Ashvin K. Kazzaz, Sarah A. Guevara, Myriam Nagaraj, Sudha Robben, Christopher P. Vittone, Veronica Swan, Joshua T. BMC Musculoskelet Disord Research BACKGROUND: Development of valid and feasible quality indicators (QIs) is needed to track quality initiatives for osteoarthritis pain management in primary care settings. METHODS: Literature search identified published guidelines that were reviewed for QI extraction. A panel of 14 experts was assembled, including primary care physicians, rheumatologists, orthopedic surgeons, pain specialists, and outcomes research pharmacists. A screening survey excluded QIs that cannot be reliably extracted from the electronic health record or that are irrelevant for osteoarthritis in primary care settings. A validity screening survey used a 9-point Likert scale to rate the validity of each QI based on predefined criteria. During expert panel discussions, stakeholders revised QI wording, added new QIs, and voted to include or exclude each QI. A priority survey used a 9-point Likert scale to prioritize the included QIs. RESULTS: Literature search identified 520 references published from January 2015 to March 2021 and 4 additional guidelines from professional/governmental websites. The study included 41 guidelines. Extraction of 741 recommendations yielded 115 candidate QIs. Feasibility screening excluded 28 QIs. Validity screening and expert panel discussion excluded 73 QIs and added 1 QI. The final set of 15 prioritized QIs focused on pain management safety, education, weight-management, psychological wellbeing, optimizing first-line medications, referral, and imaging. CONCLUSION: This multi-disciplinary expert panel established consensus on QIs for osteoarthritis pain management in primary care settings by combining scientific evidence with expert opinion. The resulting list of 15 prioritized, valid, and feasible QIs can be used to track quality initiatives for osteoarthritis pain management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-023-06637-x. BioMed Central 2023-06-30 /pmc/articles/PMC10311862/ /pubmed/37391737 http://dx.doi.org/10.1186/s12891-023-06637-x 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 Rizk, Elsie Tajchman, Sharla Fink, Ezekiel Aryal, Dipendra K. Iso, Tomona Flores, Eleazar Brown, Anthony E. Chokshi, Sagar P. Desai, Shetal-Nicholas Dewan, Ashvin K. Kazzaz, Sarah A. Guevara, Myriam Nagaraj, Sudha Robben, Christopher P. Vittone, Veronica Swan, Joshua T. Quality indicators for osteoarthritis pain management in the primary care setting |
title | Quality indicators for osteoarthritis pain management in the primary care setting |
title_full | Quality indicators for osteoarthritis pain management in the primary care setting |
title_fullStr | Quality indicators for osteoarthritis pain management in the primary care setting |
title_full_unstemmed | Quality indicators for osteoarthritis pain management in the primary care setting |
title_short | Quality indicators for osteoarthritis pain management in the primary care setting |
title_sort | quality indicators for osteoarthritis pain management in the primary care setting |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311862/ https://www.ncbi.nlm.nih.gov/pubmed/37391737 http://dx.doi.org/10.1186/s12891-023-06637-x |
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