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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2019
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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. |
format | Online Article Text |
id | pubmed-6830187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
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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