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Implementation of Electronic Decision Support for Diabetic Care in a Student-Run Clinic

Background and objectives Type 2 diabetes mellitus (T2DM) is a complex disease that can lead to complications. Electronic decision support in the electronic medical record (EMR) aids management. There is no study demonstrating the effectiveness of electronic decision support in assisting medical stu...

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Autores principales: Srivastava, Ankur, Shen, Delia, Maron, Maxim I, Herman, Howard S, Cohen, Brandon S, Nosrati, Avigdor, Cortijo, Amarilys R, Nosal, Sarah, Schoenbaum, Ellie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815305/
https://www.ncbi.nlm.nih.gov/pubmed/33489625
http://dx.doi.org/10.7759/cureus.12219
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author Srivastava, Ankur
Shen, Delia
Maron, Maxim I
Herman, Howard S
Cohen, Brandon S
Nosrati, Avigdor
Cortijo, Amarilys R
Nosal, Sarah
Schoenbaum, Ellie
author_facet Srivastava, Ankur
Shen, Delia
Maron, Maxim I
Herman, Howard S
Cohen, Brandon S
Nosrati, Avigdor
Cortijo, Amarilys R
Nosal, Sarah
Schoenbaum, Ellie
author_sort Srivastava, Ankur
collection PubMed
description Background and objectives Type 2 diabetes mellitus (T2DM) is a complex disease that can lead to complications. Electronic decision support in the electronic medical record (EMR) aids management. There is no study demonstrating the effectiveness of electronic decision support in assisting medical student providers in student-run free clinics. Methods There were 71 T2DM patients seen by medical students. Twenty-three encounters used a Diabetes Progress Note (DPN) that was created from consensus, opinion-based guidelines. Each note received a total composite score based on an eight-point scale for adherence to guidelines. Statistical comparisons between mean composite scores were performed using independent t-tests. Results The mean total composite score of DPN users was significantly greater than DPN non-users (5.35 vs. 4.23, p = 0.008), with a significant difference in the physical exam component (1.70 vs. 1.31, p = 0.002). Conclusions In this exploratory study, medical student providers at an attending-supervised, student-run free clinic that used electronic decision support during T2DM patient visits improved adherence to screening for diabetic complications and standard of care.
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spelling pubmed-78153052021-01-23 Implementation of Electronic Decision Support for Diabetic Care in a Student-Run Clinic Srivastava, Ankur Shen, Delia Maron, Maxim I Herman, Howard S Cohen, Brandon S Nosrati, Avigdor Cortijo, Amarilys R Nosal, Sarah Schoenbaum, Ellie Cureus Family/General Practice Background and objectives Type 2 diabetes mellitus (T2DM) is a complex disease that can lead to complications. Electronic decision support in the electronic medical record (EMR) aids management. There is no study demonstrating the effectiveness of electronic decision support in assisting medical student providers in student-run free clinics. Methods There were 71 T2DM patients seen by medical students. Twenty-three encounters used a Diabetes Progress Note (DPN) that was created from consensus, opinion-based guidelines. Each note received a total composite score based on an eight-point scale for adherence to guidelines. Statistical comparisons between mean composite scores were performed using independent t-tests. Results The mean total composite score of DPN users was significantly greater than DPN non-users (5.35 vs. 4.23, p = 0.008), with a significant difference in the physical exam component (1.70 vs. 1.31, p = 0.002). Conclusions In this exploratory study, medical student providers at an attending-supervised, student-run free clinic that used electronic decision support during T2DM patient visits improved adherence to screening for diabetic complications and standard of care. Cureus 2020-12-22 /pmc/articles/PMC7815305/ /pubmed/33489625 http://dx.doi.org/10.7759/cureus.12219 Text en Copyright © 2020, Srivastava et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Family/General Practice
Srivastava, Ankur
Shen, Delia
Maron, Maxim I
Herman, Howard S
Cohen, Brandon S
Nosrati, Avigdor
Cortijo, Amarilys R
Nosal, Sarah
Schoenbaum, Ellie
Implementation of Electronic Decision Support for Diabetic Care in a Student-Run Clinic
title Implementation of Electronic Decision Support for Diabetic Care in a Student-Run Clinic
title_full Implementation of Electronic Decision Support for Diabetic Care in a Student-Run Clinic
title_fullStr Implementation of Electronic Decision Support for Diabetic Care in a Student-Run Clinic
title_full_unstemmed Implementation of Electronic Decision Support for Diabetic Care in a Student-Run Clinic
title_short Implementation of Electronic Decision Support for Diabetic Care in a Student-Run Clinic
title_sort implementation of electronic decision support for diabetic care in a student-run clinic
topic Family/General Practice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815305/
https://www.ncbi.nlm.nih.gov/pubmed/33489625
http://dx.doi.org/10.7759/cureus.12219
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