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 Previously identified challenges of CDSAs include their limited scope, usability, and outdated clinica...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-01-01
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| Series: | PLOS Digital Health |
| Online Access: | https://doi.org/10.1371/journal.pdig.0000170 |
| _version_ | 1827828468674461696 |
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| author | Rainer Tan Ludovico Cobuccio Fenella Beynon Gillian A Levine Nina Vaezipour Lameck Bonaventure Luwanda Chacha Mangu Alan Vonlanthen Olga De Santis Nahya Salim Karim Manji Helga Naburi Lulu Chirande Lena Matata Method Bulongeleje Robert Moshiro Andolo Miheso Peter Arimi Ousmane Ndiaye Moctar Faye Aliou Thiongane Shally Awasthi Kovid Sharma Gaurav Kumar Josephine Van De Maat Alexandra Kulinkina Victor Rwandarwacu Théophile Dusengumuremyi John Baptist Nkuranga Emmanuel Rusingiza Lisine Tuyisenge Mary-Anne Hartley Vincent Faivre Julien Thabard Kristina Keitel Valérie D'Acremont |
| author_facet | Rainer Tan Ludovico Cobuccio Fenella Beynon Gillian A Levine Nina Vaezipour Lameck Bonaventure Luwanda Chacha Mangu Alan Vonlanthen Olga De Santis Nahya Salim Karim Manji Helga Naburi Lulu Chirande Lena Matata Method Bulongeleje Robert Moshiro Andolo Miheso Peter Arimi Ousmane Ndiaye Moctar Faye Aliou Thiongane Shally Awasthi Kovid Sharma Gaurav Kumar Josephine Van De Maat Alexandra Kulinkina Victor Rwandarwacu Théophile Dusengumuremyi John Baptist Nkuranga Emmanuel Rusingiza Lisine Tuyisenge Mary-Anne Hartley Vincent Faivre Julien Thabard Kristina Keitel Valérie D'Acremont |
| author_sort | Rainer Tan |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-12T03:51:36Z |
| format | Article |
| id | doaj.art-73ae03640bf542978c4ce65b44013526 |
| institution | Directory Open Access Journal |
| issn | 2767-3170 |
| language | English |
| last_indexed | 2024-03-12T03:51:36Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLOS Digital Health |
| spelling | doaj.art-73ae03640bf542978c4ce65b440135262023-09-03T12:19:26ZengPublic Library of Science (PLoS)PLOS Digital Health2767-31702023-01-0121e000017010.1371/journal.pdig.0000170ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries.Rainer TanLudovico CobuccioFenella BeynonGillian A LevineNina VaezipourLameck Bonaventure LuwandaChacha ManguAlan VonlanthenOlga De SantisNahya SalimKarim ManjiHelga NaburiLulu ChirandeLena MatataMethod BulongelejeRobert MoshiroAndolo MihesoPeter ArimiOusmane NdiayeMoctar FayeAliou ThionganeShally AwasthiKovid SharmaGaurav KumarJosephine Van De MaatAlexandra KulinkinaVictor RwandarwacuThéophile DusengumuremyiJohn Baptist NkurangaEmmanuel RusingizaLisine TuyisengeMary-Anne HartleyVincent FaivreJulien ThabardKristina KeitelValérie D'AcremontElectronic 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.https://doi.org/10.1371/journal.pdig.0000170 |
| spellingShingle | Rainer Tan Ludovico Cobuccio Fenella Beynon Gillian A Levine Nina Vaezipour Lameck Bonaventure Luwanda Chacha Mangu Alan Vonlanthen Olga De Santis Nahya Salim Karim Manji Helga Naburi Lulu Chirande Lena Matata Method Bulongeleje Robert Moshiro Andolo Miheso Peter Arimi Ousmane Ndiaye Moctar Faye Aliou Thiongane Shally Awasthi Kovid Sharma Gaurav Kumar Josephine Van De Maat Alexandra Kulinkina Victor Rwandarwacu Théophile Dusengumuremyi John Baptist Nkuranga Emmanuel Rusingiza Lisine Tuyisenge Mary-Anne Hartley Vincent Faivre Julien Thabard Kristina Keitel Valérie D'Acremont 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. PLOS Digital Health |
| 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 |
| url | https://doi.org/10.1371/journal.pdig.0000170 |
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