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Medical Documentation in Low- and Middle-income Countries: Lessons Learned from Implementing Specialized Charting Software

BACKGROUND: The implementation of electronic health record (EHR) software at healthcare facilities in low- and middle-income countries (LMICs) is limited by financial and technological constraints. Smile Train, the world’s largest cleft charity, developed a cleft treatment EHR system, Smile Train Ex...

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Autores principales: Ferry, Andrew M., Davis, Matthew J., Rumprecht, Ewa, Nigro, Alexander L., Desai, Priya, Hollier, Larry H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219254/
https://www.ncbi.nlm.nih.gov/pubmed/34168942
http://dx.doi.org/10.1097/GOX.0000000000003651
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author Ferry, Andrew M.
Davis, Matthew J.
Rumprecht, Ewa
Nigro, Alexander L.
Desai, Priya
Hollier, Larry H.
author_facet Ferry, Andrew M.
Davis, Matthew J.
Rumprecht, Ewa
Nigro, Alexander L.
Desai, Priya
Hollier, Larry H.
author_sort Ferry, Andrew M.
collection PubMed
description BACKGROUND: The implementation of electronic health record (EHR) software at healthcare facilities in low- and middle-income countries (LMICs) is limited by financial and technological constraints. Smile Train, the world’s largest cleft charity, developed a cleft treatment EHR system, Smile Train Express (STX), and distributed it to their partnered institutions. The purpose of this study was to investigate trends in medical documentation practices amongst Smile Train-partner institutions to characterize the impact that specialized EHR software has on medical documentation practices at healthcare facilities in LMICs. METHODS: Surveys were administered electronically to 843 Smile Train-partnered institutions across 68 LMICs. The survey inquired about institutions’ internet connection, documentation methods used during patient encounters, rationale for using said methods, and documentation methods for cloud-based storage of healthcare data. Institutions were grouped by economic and geographic subgroups for analysis. RESULTS: A total of 162 institutions (19.2%) responded to the survey. Most institutions employed paper charting (64.2%) or institutional EHR software (25.9%) for data entry during a patient encounter with the latter’s use varying significantly across geographical subgroups (P = 0.01). STX was used by 18 institutions (11.1%) during a patient encounter. Workflow was the most frequently cited reason for institutions to employ their entry method during a patient encounter (51.4%). CONCLUSIONS: The provision of STX to partnered institutions influenced medical documentation practices at several institutions; however, regulations and guidelines have likely limited its complete integration into clinical workflows. Further studies are needed to characterize trends in medical documentation in LMICs at a more granular level.
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spelling pubmed-82192542021-06-23 Medical Documentation in Low- and Middle-income Countries: Lessons Learned from Implementing Specialized Charting Software Ferry, Andrew M. Davis, Matthew J. Rumprecht, Ewa Nigro, Alexander L. Desai, Priya Hollier, Larry H. Plast Reconstr Surg Glob Open Global Health BACKGROUND: The implementation of electronic health record (EHR) software at healthcare facilities in low- and middle-income countries (LMICs) is limited by financial and technological constraints. Smile Train, the world’s largest cleft charity, developed a cleft treatment EHR system, Smile Train Express (STX), and distributed it to their partnered institutions. The purpose of this study was to investigate trends in medical documentation practices amongst Smile Train-partner institutions to characterize the impact that specialized EHR software has on medical documentation practices at healthcare facilities in LMICs. METHODS: Surveys were administered electronically to 843 Smile Train-partnered institutions across 68 LMICs. The survey inquired about institutions’ internet connection, documentation methods used during patient encounters, rationale for using said methods, and documentation methods for cloud-based storage of healthcare data. Institutions were grouped by economic and geographic subgroups for analysis. RESULTS: A total of 162 institutions (19.2%) responded to the survey. Most institutions employed paper charting (64.2%) or institutional EHR software (25.9%) for data entry during a patient encounter with the latter’s use varying significantly across geographical subgroups (P = 0.01). STX was used by 18 institutions (11.1%) during a patient encounter. Workflow was the most frequently cited reason for institutions to employ their entry method during a patient encounter (51.4%). CONCLUSIONS: The provision of STX to partnered institutions influenced medical documentation practices at several institutions; however, regulations and guidelines have likely limited its complete integration into clinical workflows. Further studies are needed to characterize trends in medical documentation in LMICs at a more granular level. Lippincott Williams & Wilkins 2021-06-22 /pmc/articles/PMC8219254/ /pubmed/34168942 http://dx.doi.org/10.1097/GOX.0000000000003651 Text en Copyright © 2021 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons. 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 Global Health
Ferry, Andrew M.
Davis, Matthew J.
Rumprecht, Ewa
Nigro, Alexander L.
Desai, Priya
Hollier, Larry H.
Medical Documentation in Low- and Middle-income Countries: Lessons Learned from Implementing Specialized Charting Software
title Medical Documentation in Low- and Middle-income Countries: Lessons Learned from Implementing Specialized Charting Software
title_full Medical Documentation in Low- and Middle-income Countries: Lessons Learned from Implementing Specialized Charting Software
title_fullStr Medical Documentation in Low- and Middle-income Countries: Lessons Learned from Implementing Specialized Charting Software
title_full_unstemmed Medical Documentation in Low- and Middle-income Countries: Lessons Learned from Implementing Specialized Charting Software
title_short Medical Documentation in Low- and Middle-income Countries: Lessons Learned from Implementing Specialized Charting Software
title_sort medical documentation in low- and middle-income countries: lessons learned from implementing specialized charting software
topic Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219254/
https://www.ncbi.nlm.nih.gov/pubmed/34168942
http://dx.doi.org/10.1097/GOX.0000000000003651
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