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A resident-led project to improve documentation of overweight and obesity in a primary care clinic

Background: Although the prevalence of overweight and obesity (OW/OB) has increased in the last three decades, studies show that these conditions are sub-optimally documented by physicians. Health information technology tools have varying effects on improving documentation of OW/OB but often have to...

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Autores principales: Wang’ondu, Ruth, Vitale, Rebecca, Rosenblum, Hannah, Pinto-Taylor, Emily, Grossman, Matthew, Sharifi, Mona, Gielissen, Katherine, Doolittle, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6830187/
https://www.ncbi.nlm.nih.gov/pubmed/31723380
http://dx.doi.org/10.1080/20009666.2019.1681056
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author Wang’ondu, Ruth
Vitale, Rebecca
Rosenblum, Hannah
Pinto-Taylor, Emily
Grossman, Matthew
Sharifi, Mona
Gielissen, Katherine
Doolittle, Benjamin
author_facet Wang’ondu, Ruth
Vitale, Rebecca
Rosenblum, Hannah
Pinto-Taylor, Emily
Grossman, Matthew
Sharifi, Mona
Gielissen, Katherine
Doolittle, Benjamin
author_sort Wang’ondu, Ruth
collection PubMed
description Background: Although the prevalence of overweight and obesity (OW/OB) has increased in the last three decades, studies show that these conditions are sub-optimally documented by physicians. Health information technology tools have varying effects on improving documentation of OW/OB but often have to be complemented with other interventions to be effective. Objective: Upon identifying low rates of documentation of diagnoses of overweight and obesity by resident and attending physicians, despite the use of an electronic health record (EHR) with automated BMI calculations, we performed a quality improvement (QI) project to improve documentation of these diagnoses for patients in our community hospital primary care clinic. Methods: The EHR was reviewed to determine documentation rates by resident and attending physicians between 1 March 2018 and 31 September 2018. We collected pre-intervention data, developed interventions, and implemented tests of change using Plan-Do-Study-Act (PDSA) cycles to improve documentation of OW/OB. Results: Documentation of overweight and obesity diagnoses increased from a baseline of 46% to 79% over a 20-week period after initiation of our project. Conclusion: We demonstrate the successful implementation of resident-led, multi-faceted interventions in a team-based QI project to optimize documentation of OW/OB in the EHR.
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spelling pubmed-68301872019-11-13 A resident-led project to improve documentation of overweight and obesity in a primary care clinic Wang’ondu, Ruth Vitale, Rebecca Rosenblum, Hannah Pinto-Taylor, Emily Grossman, Matthew Sharifi, Mona Gielissen, Katherine Doolittle, Benjamin J Community Hosp Intern Med Perspect Research Article Background: Although the prevalence of overweight and obesity (OW/OB) has increased in the last three decades, studies show that these conditions are sub-optimally documented by physicians. Health information technology tools have varying effects on improving documentation of OW/OB but often have to be complemented with other interventions to be effective. Objective: Upon identifying low rates of documentation of diagnoses of overweight and obesity by resident and attending physicians, despite the use of an electronic health record (EHR) with automated BMI calculations, we performed a quality improvement (QI) project to improve documentation of these diagnoses for patients in our community hospital primary care clinic. Methods: The EHR was reviewed to determine documentation rates by resident and attending physicians between 1 March 2018 and 31 September 2018. We collected pre-intervention data, developed interventions, and implemented tests of change using Plan-Do-Study-Act (PDSA) cycles to improve documentation of OW/OB. Results: Documentation of overweight and obesity diagnoses increased from a baseline of 46% to 79% over a 20-week period after initiation of our project. Conclusion: We demonstrate the successful implementation of resident-led, multi-faceted interventions in a team-based QI project to optimize documentation of OW/OB in the EHR. Taylor & Francis 2019-11-01 /pmc/articles/PMC6830187/ /pubmed/31723380 http://dx.doi.org/10.1080/20009666.2019.1681056 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of Greater Baltimore Medical Center. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang’ondu, Ruth
Vitale, Rebecca
Rosenblum, Hannah
Pinto-Taylor, Emily
Grossman, Matthew
Sharifi, Mona
Gielissen, Katherine
Doolittle, Benjamin
A resident-led project to improve documentation of overweight and obesity in a primary care clinic
title A resident-led project to improve documentation of overweight and obesity in a primary care clinic
title_full A resident-led project to improve documentation of overweight and obesity in a primary care clinic
title_fullStr A resident-led project to improve documentation of overweight and obesity in a primary care clinic
title_full_unstemmed A resident-led project to improve documentation of overweight and obesity in a primary care clinic
title_short A resident-led project to improve documentation of overweight and obesity in a primary care clinic
title_sort resident-led project to improve documentation of overweight and obesity in a primary care clinic
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6830187/
https://www.ncbi.nlm.nih.gov/pubmed/31723380
http://dx.doi.org/10.1080/20009666.2019.1681056
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