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Applying the Value Transformation Framework in Federally Qualified Health Centers to Increase Clinical Measures Performance
INTRODUCTION: The transition in health care from a volume-based to value-based model of care, combined with pressures brought about by the COVID-19 pandemic, makes the need for efficiency and coordination of the health center system imperative. The Value Transformation Framework (VTF), developed wit...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236304/ https://www.ncbi.nlm.nih.gov/pubmed/35289770 http://dx.doi.org/10.1097/JHQ.0000000000000340 |
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author | Modica, Cheryl Bay, Curt Lewis, Joy H. Silva, Camila |
author_facet | Modica, Cheryl Bay, Curt Lewis, Joy H. Silva, Camila |
author_sort | Modica, Cheryl |
collection | PubMed |
description | INTRODUCTION: The transition in health care from a volume-based to value-based model of care, combined with pressures brought about by the COVID-19 pandemic, makes the need for efficiency and coordination of the health center system imperative. The Value Transformation Framework (VTF), developed with health centers in mind, provides an organizing framework to support transformation of infrastructure, care delivery, and people systems. METHODS: NACHC applied the VTF within a cohort of health centers across the country to drive systems change and improve performance on measures of clinical care. RESULTS: A comparison of health centers “participating” in application of the VTF relative to “nonparticipating” health centers nationally showed improvement during 3 years of program implementation. Significant differences (p < .05) favoring health centers who participated were noted for screening of colorectal cancer (p < .001), depression (p < .001), hypertension (p < .001), obesity (p = .001), and cervical cancer (p = .011). Performance for diabetes control also favored participating programs, although the difference did not quite reach significance (p = .45). CONCLUSIONS: Applying a systems approach, organized by the VTF, with evidence-based interventions and deployed in a learning community, can result in improved performance across multiple measures of clinical care. |
format | Online Article Text |
id | pubmed-9236304 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-92363042022-07-01 Applying the Value Transformation Framework in Federally Qualified Health Centers to Increase Clinical Measures Performance Modica, Cheryl Bay, Curt Lewis, Joy H. Silva, Camila J Healthc Qual Original Article INTRODUCTION: The transition in health care from a volume-based to value-based model of care, combined with pressures brought about by the COVID-19 pandemic, makes the need for efficiency and coordination of the health center system imperative. The Value Transformation Framework (VTF), developed with health centers in mind, provides an organizing framework to support transformation of infrastructure, care delivery, and people systems. METHODS: NACHC applied the VTF within a cohort of health centers across the country to drive systems change and improve performance on measures of clinical care. RESULTS: A comparison of health centers “participating” in application of the VTF relative to “nonparticipating” health centers nationally showed improvement during 3 years of program implementation. Significant differences (p < .05) favoring health centers who participated were noted for screening of colorectal cancer (p < .001), depression (p < .001), hypertension (p < .001), obesity (p = .001), and cervical cancer (p = .011). Performance for diabetes control also favored participating programs, although the difference did not quite reach significance (p = .45). CONCLUSIONS: Applying a systems approach, organized by the VTF, with evidence-based interventions and deployed in a learning community, can result in improved performance across multiple measures of clinical care. Lippincott Williams & Wilkins 2022 2022-03-08 /pmc/articles/PMC9236304/ /pubmed/35289770 http://dx.doi.org/10.1097/JHQ.0000000000000340 Text en © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the National Association for Healthcare Quality. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Original Article Modica, Cheryl Bay, Curt Lewis, Joy H. Silva, Camila Applying the Value Transformation Framework in Federally Qualified Health Centers to Increase Clinical Measures Performance |
title | Applying the Value Transformation Framework in Federally Qualified Health Centers to Increase Clinical Measures Performance |
title_full | Applying the Value Transformation Framework in Federally Qualified Health Centers to Increase Clinical Measures Performance |
title_fullStr | Applying the Value Transformation Framework in Federally Qualified Health Centers to Increase Clinical Measures Performance |
title_full_unstemmed | Applying the Value Transformation Framework in Federally Qualified Health Centers to Increase Clinical Measures Performance |
title_short | Applying the Value Transformation Framework in Federally Qualified Health Centers to Increase Clinical Measures Performance |
title_sort | applying the value transformation framework in federally qualified health centers to increase clinical measures performance |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236304/ https://www.ncbi.nlm.nih.gov/pubmed/35289770 http://dx.doi.org/10.1097/JHQ.0000000000000340 |
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