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First-step validation of a text message-based application for newborn clinical management among pediatricians
BACKGROUND: Neonatal mortality is high in developing countries. Lack of adequate training and insufficient management skills for sick newborn care contribute to these deaths. We developed a phone application dubbed Protecting Infants Remotely by Short Message Service (PRISMS). The PRISMS application...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450570/ https://www.ncbi.nlm.nih.gov/pubmed/32854664 http://dx.doi.org/10.1186/s12887-020-02307-2 |
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author | Data, Santorino Mukama, Martin McMillan, Douglas Singhal, Nalini Bajunirwe, Francis |
author_facet | Data, Santorino Mukama, Martin McMillan, Douglas Singhal, Nalini Bajunirwe, Francis |
author_sort | Data, Santorino |
collection | PubMed |
description | BACKGROUND: Neonatal mortality is high in developing countries. Lack of adequate training and insufficient management skills for sick newborn care contribute to these deaths. We developed a phone application dubbed Protecting Infants Remotely by Short Message Service (PRISMS). The PRISMS application uses routine clinical assessments with algorithms to provide newborn clinical management suggestions. We measured the feasibility, acceptability and efficacy of PRISMS by comparing its clinical case management suggestions with those of experienced pediatricians as the gold standard. METHODS: Twelve different newborn case scenarios developed by pediatrics residents, based on real cases they had seen, were managed by pediatricians and PRISMS®(.) Each pediatrician was randomly assigned six of twelve cases. Pediatricians developed clinical case management plans for all assigned cases and then obtained PRISMS suggested clinical case managements. We calculated percent agreement and kappa (k) statistics to test the null hypothesis that pediatrician and PRISMS management plans were independent. RESULTS: We found high level of agreement between pediatricians and PRISMS for components of newborn care including: 10% dextrose (Agreement = 73.8%), normal saline (Agreement = 73.8%), anticonvulsants (Agreement = 100%), blood transfusion (Agreement =81%), phototherapy (Agreement = 90.5%), and supplemental oxygen (agreement = 69.1%). However, we found poor agreement with potential investigations such as complete blood count, blood culture and lumbar puncture. PRISMS had a user satisfaction score of 3.8 out of 5 (range 1 = strongly disagree, 5 = strongly agree) and an average PRISMS user experience score of 4.1 out of 5 (range 1 = very bad, 5 = very good). CONCLUSION: Management plans for newborn care from PRISMS showed good agreement with management plans from experienced Pediatricians. We acknowledge that the level of agreement was low in some aspects of newborn care. |
format | Online Article Text |
id | pubmed-7450570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74505702020-08-28 First-step validation of a text message-based application for newborn clinical management among pediatricians Data, Santorino Mukama, Martin McMillan, Douglas Singhal, Nalini Bajunirwe, Francis BMC Pediatr Research Article BACKGROUND: Neonatal mortality is high in developing countries. Lack of adequate training and insufficient management skills for sick newborn care contribute to these deaths. We developed a phone application dubbed Protecting Infants Remotely by Short Message Service (PRISMS). The PRISMS application uses routine clinical assessments with algorithms to provide newborn clinical management suggestions. We measured the feasibility, acceptability and efficacy of PRISMS by comparing its clinical case management suggestions with those of experienced pediatricians as the gold standard. METHODS: Twelve different newborn case scenarios developed by pediatrics residents, based on real cases they had seen, were managed by pediatricians and PRISMS®(.) Each pediatrician was randomly assigned six of twelve cases. Pediatricians developed clinical case management plans for all assigned cases and then obtained PRISMS suggested clinical case managements. We calculated percent agreement and kappa (k) statistics to test the null hypothesis that pediatrician and PRISMS management plans were independent. RESULTS: We found high level of agreement between pediatricians and PRISMS for components of newborn care including: 10% dextrose (Agreement = 73.8%), normal saline (Agreement = 73.8%), anticonvulsants (Agreement = 100%), blood transfusion (Agreement =81%), phototherapy (Agreement = 90.5%), and supplemental oxygen (agreement = 69.1%). However, we found poor agreement with potential investigations such as complete blood count, blood culture and lumbar puncture. PRISMS had a user satisfaction score of 3.8 out of 5 (range 1 = strongly disagree, 5 = strongly agree) and an average PRISMS user experience score of 4.1 out of 5 (range 1 = very bad, 5 = very good). CONCLUSION: Management plans for newborn care from PRISMS showed good agreement with management plans from experienced Pediatricians. We acknowledge that the level of agreement was low in some aspects of newborn care. BioMed Central 2020-08-27 /pmc/articles/PMC7450570/ /pubmed/32854664 http://dx.doi.org/10.1186/s12887-020-02307-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Data, Santorino Mukama, Martin McMillan, Douglas Singhal, Nalini Bajunirwe, Francis First-step validation of a text message-based application for newborn clinical management among pediatricians |
title | First-step validation of a text message-based application for newborn clinical management among pediatricians |
title_full | First-step validation of a text message-based application for newborn clinical management among pediatricians |
title_fullStr | First-step validation of a text message-based application for newborn clinical management among pediatricians |
title_full_unstemmed | First-step validation of a text message-based application for newborn clinical management among pediatricians |
title_short | First-step validation of a text message-based application for newborn clinical management among pediatricians |
title_sort | first-step validation of a text message-based application for newborn clinical management among pediatricians |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450570/ https://www.ncbi.nlm.nih.gov/pubmed/32854664 http://dx.doi.org/10.1186/s12887-020-02307-2 |
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