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Achieving Large-Scale Quality Improvement in Primary Care Annual Wellness Visits and Hierarchical Condition Coding
ABSTRACT: BACKGROUND: Completion of Medicare Annual Wellness Visits (AWV) and documentation of Hierarchical Condition Categories (HCC) are important metrics in accountable care organizations (ACO) with quality and financial implications. To improve performance in large healthcare organizations, qual...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8768436/ https://www.ncbi.nlm.nih.gov/pubmed/35048289 http://dx.doi.org/10.1007/s11606-021-07323-1 |
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author | Zeiger, Todd M. Thatcher, Esther J. Kirpekar, Sona Coran, Justin J. Topalsky, George Zarach, Mary Jane D. Cox, Deanna A. Schario, Mark E. Fuller, Kelsey A. Upton, Patricia M. Green, Tomasina M. Pronovost, Peter J. |
author_facet | Zeiger, Todd M. Thatcher, Esther J. Kirpekar, Sona Coran, Justin J. Topalsky, George Zarach, Mary Jane D. Cox, Deanna A. Schario, Mark E. Fuller, Kelsey A. Upton, Patricia M. Green, Tomasina M. Pronovost, Peter J. |
author_sort | Zeiger, Todd M. |
collection | PubMed |
description | ABSTRACT: BACKGROUND: Completion of Medicare Annual Wellness Visits (AWV) and documentation of Hierarchical Condition Categories (HCC) are important metrics in accountable care organizations (ACO) with quality and financial implications. To improve performance in large healthcare organizations, quality improvement (QI) efforts need to be scaled up in a way that is feasible within available system-wide resources. OBJECTIVE: We describe a 3-year effort using a multifaceted QI framework called the fractal management system for AWV and HCC performance. DESIGN: Pre-post evaluation of a multi-level, health system–wide QI management system intervention between 2018 and 2020. The system provided project management, coaching, communications, feedback of performance, and health informatics. PARTICIPANTS: The intervention was delivered to all 97 primary care practices within an Ohio-based accountable care organization, comprising 72,603 attributed Medicare and Medicare Advantage patients as of 2018. Eighty-nine of these practices were included in the analysis. APPROACH: AWV completion was defined as percent of eligible patients with a documented AWV during the calendar year. HCC completion was defined as documented reassessment of all prior-year HCC conditions. KEY RESULTS: AWV completion at the practice level increased from 23.7% (SD .14) in 2018 to 34.9% (SD .18) in 2019, and 59.8% (SD .17) in 2020. This was a statistically significant effect of time on AWV completion rates overall (F[2, 87] = 164.43, p < .000). More than half (56.2%) of practices met or exceeded the 60% goal in 2020. Practice-level HCC completion tracking started in 2019 (M = 75.9%, SD 7.4%) and increased in 2020 (M = 79.7%, SD 7.1%); t(172) = 2.0, p < .001. CONCLUSIONS: AWV and HCC performance goals were met in 2020, despite service disruptions due to COVID-19. The QI approach we used is applicable to other problems and other large healthcare systems. |
format | Online Article Text |
id | pubmed-8768436 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-87684362022-01-20 Achieving Large-Scale Quality Improvement in Primary Care Annual Wellness Visits and Hierarchical Condition Coding Zeiger, Todd M. Thatcher, Esther J. Kirpekar, Sona Coran, Justin J. Topalsky, George Zarach, Mary Jane D. Cox, Deanna A. Schario, Mark E. Fuller, Kelsey A. Upton, Patricia M. Green, Tomasina M. Pronovost, Peter J. J Gen Intern Med Original Research ABSTRACT: BACKGROUND: Completion of Medicare Annual Wellness Visits (AWV) and documentation of Hierarchical Condition Categories (HCC) are important metrics in accountable care organizations (ACO) with quality and financial implications. To improve performance in large healthcare organizations, quality improvement (QI) efforts need to be scaled up in a way that is feasible within available system-wide resources. OBJECTIVE: We describe a 3-year effort using a multifaceted QI framework called the fractal management system for AWV and HCC performance. DESIGN: Pre-post evaluation of a multi-level, health system–wide QI management system intervention between 2018 and 2020. The system provided project management, coaching, communications, feedback of performance, and health informatics. PARTICIPANTS: The intervention was delivered to all 97 primary care practices within an Ohio-based accountable care organization, comprising 72,603 attributed Medicare and Medicare Advantage patients as of 2018. Eighty-nine of these practices were included in the analysis. APPROACH: AWV completion was defined as percent of eligible patients with a documented AWV during the calendar year. HCC completion was defined as documented reassessment of all prior-year HCC conditions. KEY RESULTS: AWV completion at the practice level increased from 23.7% (SD .14) in 2018 to 34.9% (SD .18) in 2019, and 59.8% (SD .17) in 2020. This was a statistically significant effect of time on AWV completion rates overall (F[2, 87] = 164.43, p < .000). More than half (56.2%) of practices met or exceeded the 60% goal in 2020. Practice-level HCC completion tracking started in 2019 (M = 75.9%, SD 7.4%) and increased in 2020 (M = 79.7%, SD 7.1%); t(172) = 2.0, p < .001. CONCLUSIONS: AWV and HCC performance goals were met in 2020, despite service disruptions due to COVID-19. The QI approach we used is applicable to other problems and other large healthcare systems. Springer International Publishing 2022-01-19 2022-05 /pmc/articles/PMC8768436/ /pubmed/35048289 http://dx.doi.org/10.1007/s11606-021-07323-1 Text en © The Author(s) under exclusive licence to Society of General Internal Medicine 2022 |
spellingShingle | Original Research Zeiger, Todd M. Thatcher, Esther J. Kirpekar, Sona Coran, Justin J. Topalsky, George Zarach, Mary Jane D. Cox, Deanna A. Schario, Mark E. Fuller, Kelsey A. Upton, Patricia M. Green, Tomasina M. Pronovost, Peter J. Achieving Large-Scale Quality Improvement in Primary Care Annual Wellness Visits and Hierarchical Condition Coding |
title | Achieving Large-Scale Quality Improvement in Primary Care Annual Wellness Visits and Hierarchical Condition Coding |
title_full | Achieving Large-Scale Quality Improvement in Primary Care Annual Wellness Visits and Hierarchical Condition Coding |
title_fullStr | Achieving Large-Scale Quality Improvement in Primary Care Annual Wellness Visits and Hierarchical Condition Coding |
title_full_unstemmed | Achieving Large-Scale Quality Improvement in Primary Care Annual Wellness Visits and Hierarchical Condition Coding |
title_short | Achieving Large-Scale Quality Improvement in Primary Care Annual Wellness Visits and Hierarchical Condition Coding |
title_sort | achieving large-scale quality improvement in primary care annual wellness visits and hierarchical condition coding |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8768436/ https://www.ncbi.nlm.nih.gov/pubmed/35048289 http://dx.doi.org/10.1007/s11606-021-07323-1 |
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