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ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries
Electronic clinical decision support algorithms (CDSAs) have been developed to address high childhood mortality and inappropriate antibiotic prescription by helping clinicians adhere to guidelines. Previously identified challenges of CDSAs include their limited scope, usability, and outdated clinica...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931356/ https://www.ncbi.nlm.nih.gov/pubmed/36812607 http://dx.doi.org/10.1371/journal.pdig.0000170 |
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author | Tan, Rainer Cobuccio, Ludovico Beynon, Fenella Levine, Gillian A. Vaezipour, Nina Luwanda, Lameck Bonaventure Mangu, Chacha Vonlanthen, Alan De Santis, Olga Salim, Nahya Manji, Karim Naburi, Helga Chirande, Lulu Matata, Lena Bulongeleje, Method Moshiro, Robert Miheso, Andolo Arimi, Peter Ndiaye, Ousmane Faye, Moctar Thiongane, Aliou Awasthi, Shally Sharma, Kovid Kumar, Gaurav Van De Maat, Josephine Kulinkina, Alexandra Rwandarwacu, Victor Dusengumuremyi, Théophile Nkuranga, John Baptist Rusingiza, Emmanuel Tuyisenge, Lisine Hartley, Mary-Anne Faivre, Vincent Thabard, Julien Keitel, Kristina D’Acremont, Valérie |
author_facet | Tan, Rainer Cobuccio, Ludovico Beynon, Fenella Levine, Gillian A. Vaezipour, Nina Luwanda, Lameck Bonaventure Mangu, Chacha Vonlanthen, Alan De Santis, Olga Salim, Nahya Manji, Karim Naburi, Helga Chirande, Lulu Matata, Lena Bulongeleje, Method Moshiro, Robert Miheso, Andolo Arimi, Peter Ndiaye, Ousmane Faye, Moctar Thiongane, Aliou Awasthi, Shally Sharma, Kovid Kumar, Gaurav Van De Maat, Josephine Kulinkina, Alexandra Rwandarwacu, Victor Dusengumuremyi, Théophile Nkuranga, John Baptist Rusingiza, Emmanuel Tuyisenge, Lisine Hartley, Mary-Anne Faivre, Vincent Thabard, Julien Keitel, Kristina D’Acremont, Valérie |
author_sort | Tan, Rainer |
collection | PubMed |
description | Electronic clinical decision support algorithms (CDSAs) have been developed to address high childhood mortality and inappropriate antibiotic prescription by helping clinicians adhere to guidelines. Previously identified challenges of CDSAs include their limited scope, usability, and outdated clinical content. To address these challenges we developed ePOCT+, a CDSA for the care of pediatric outpatients in low- and middle-income settings, and the medical algorithm suite (medAL-suite), a software for the creation and execution of CDSAs. Following the principles of digital development, we aim to describe the process and lessons learnt from the development of ePOCT+ and the medAL-suite. In particular, this work outlines the systematic integrative development process in the design and implementation of these tools required to meet the needs of clinicians to improve uptake and quality of care. We considered the feasibility, acceptability and reliability of clinical signs and symptoms, as well as the diagnostic and prognostic performance of predictors. To assure clinical validity, and appropriateness for the country of implementation the algorithm underwent numerous reviews by clinical experts and health authorities from the implementing countries. The digitalization process involved the creation of medAL-creator, a digital platform which allows clinicians without IT programming skills to easily create the algorithms, and medAL-reader the mobile health (mHealth) application used by clinicians during the consultation. Extensive feasibility tests were done with feedback from end-users of multiple countries to improve the clinical algorithm and medAL-reader software. We hope that the development framework used for developing ePOCT+ will help support the development of other CDSAs, and that the open-source medAL-suite will enable others to easily and independently implement them. Further clinical validation studies are underway in Tanzania, Rwanda, Kenya, Senegal, and India. |
format | Online Article Text |
id | pubmed-9931356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-99313562023-02-16 ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries Tan, Rainer Cobuccio, Ludovico Beynon, Fenella Levine, Gillian A. Vaezipour, Nina Luwanda, Lameck Bonaventure Mangu, Chacha Vonlanthen, Alan De Santis, Olga Salim, Nahya Manji, Karim Naburi, Helga Chirande, Lulu Matata, Lena Bulongeleje, Method Moshiro, Robert Miheso, Andolo Arimi, Peter Ndiaye, Ousmane Faye, Moctar Thiongane, Aliou Awasthi, Shally Sharma, Kovid Kumar, Gaurav Van De Maat, Josephine Kulinkina, Alexandra Rwandarwacu, Victor Dusengumuremyi, Théophile Nkuranga, John Baptist Rusingiza, Emmanuel Tuyisenge, Lisine Hartley, Mary-Anne Faivre, Vincent Thabard, Julien Keitel, Kristina D’Acremont, Valérie PLOS Digit Health Research Article Electronic clinical decision support algorithms (CDSAs) have been developed to address high childhood mortality and inappropriate antibiotic prescription by helping clinicians adhere to guidelines. Previously identified challenges of CDSAs include their limited scope, usability, and outdated clinical content. To address these challenges we developed ePOCT+, a CDSA for the care of pediatric outpatients in low- and middle-income settings, and the medical algorithm suite (medAL-suite), a software for the creation and execution of CDSAs. Following the principles of digital development, we aim to describe the process and lessons learnt from the development of ePOCT+ and the medAL-suite. In particular, this work outlines the systematic integrative development process in the design and implementation of these tools required to meet the needs of clinicians to improve uptake and quality of care. We considered the feasibility, acceptability and reliability of clinical signs and symptoms, as well as the diagnostic and prognostic performance of predictors. To assure clinical validity, and appropriateness for the country of implementation the algorithm underwent numerous reviews by clinical experts and health authorities from the implementing countries. The digitalization process involved the creation of medAL-creator, a digital platform which allows clinicians without IT programming skills to easily create the algorithms, and medAL-reader the mobile health (mHealth) application used by clinicians during the consultation. Extensive feasibility tests were done with feedback from end-users of multiple countries to improve the clinical algorithm and medAL-reader software. We hope that the development framework used for developing ePOCT+ will help support the development of other CDSAs, and that the open-source medAL-suite will enable others to easily and independently implement them. Further clinical validation studies are underway in Tanzania, Rwanda, Kenya, Senegal, and India. Public Library of Science 2023-01-19 /pmc/articles/PMC9931356/ /pubmed/36812607 http://dx.doi.org/10.1371/journal.pdig.0000170 Text en © 2023 Tan et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Tan, Rainer Cobuccio, Ludovico Beynon, Fenella Levine, Gillian A. Vaezipour, Nina Luwanda, Lameck Bonaventure Mangu, Chacha Vonlanthen, Alan De Santis, Olga Salim, Nahya Manji, Karim Naburi, Helga Chirande, Lulu Matata, Lena Bulongeleje, Method Moshiro, Robert Miheso, Andolo Arimi, Peter Ndiaye, Ousmane Faye, Moctar Thiongane, Aliou Awasthi, Shally Sharma, Kovid Kumar, Gaurav Van De Maat, Josephine Kulinkina, Alexandra Rwandarwacu, Victor Dusengumuremyi, Théophile Nkuranga, John Baptist Rusingiza, Emmanuel Tuyisenge, Lisine Hartley, Mary-Anne Faivre, Vincent Thabard, Julien Keitel, Kristina D’Acremont, Valérie ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries |
title | ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries |
title_full | ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries |
title_fullStr | ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries |
title_full_unstemmed | ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries |
title_short | ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries |
title_sort | epoct+ and the medal-suite: development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931356/ https://www.ncbi.nlm.nih.gov/pubmed/36812607 http://dx.doi.org/10.1371/journal.pdig.0000170 |
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