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Target Product Profile for a mobile app to read rapid diagnostic tests to strengthen infectious disease surveillance
The essential role of rapid diagnostic tests (RDTs) in disease control is compromised every time a test is not performed correctly or its result is not reported accurately and promptly. A mobile app that utilizes the camera and connectivity of a common smartphone can fill this role of supporting the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988927/ https://www.ncbi.nlm.nih.gov/pubmed/31995628 http://dx.doi.org/10.1371/journal.pone.0228311 |
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author | Kadam, Rigveda White, Wallace Banks, Nicholas Katz, Zachary Dittrich, Sabine Kelly-Cirino, Cassandra |
author_facet | Kadam, Rigveda White, Wallace Banks, Nicholas Katz, Zachary Dittrich, Sabine Kelly-Cirino, Cassandra |
author_sort | Kadam, Rigveda |
collection | PubMed |
description | The essential role of rapid diagnostic tests (RDTs) in disease control is compromised every time a test is not performed correctly or its result is not reported accurately and promptly. A mobile app that utilizes the camera and connectivity of a common smartphone can fill this role of supporting the test’s proper execution and the automatic transmission of results. In a consensus process with 51 expert participants representing the needs of clinical users, healthcare programs, health information systems, surveillance systems, and global public health stakeholders, we developed a Target Product Profile describing the minimal and optimal characteristics of such an app. We collected feedback over two rounds and refined the characteristics to arrive at a preferred agreement level of greater than 75%, with an average of 92% agreement (range: 79–100%). As per this feedback, such an app should be compatible with many RDTs and mobile devices without needing accessories. The app should assist the user with RDT-specific instructions, include checks to facilitate quality control of the testing process and suggest results with ≥ 95% accuracy across common lighting conditions while allowing the user to determine the final result. Data from the app must be under the control of the health program that operates it, and the app should support at least one of the common data exchange formats HL7, FHIR, ASTM or JSON. The Target Product Profile also lays out the minimum data security and privacy requirements for the app. |
format | Online Article Text |
id | pubmed-6988927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-69889272020-02-04 Target Product Profile for a mobile app to read rapid diagnostic tests to strengthen infectious disease surveillance Kadam, Rigveda White, Wallace Banks, Nicholas Katz, Zachary Dittrich, Sabine Kelly-Cirino, Cassandra PLoS One Research Article The essential role of rapid diagnostic tests (RDTs) in disease control is compromised every time a test is not performed correctly or its result is not reported accurately and promptly. A mobile app that utilizes the camera and connectivity of a common smartphone can fill this role of supporting the test’s proper execution and the automatic transmission of results. In a consensus process with 51 expert participants representing the needs of clinical users, healthcare programs, health information systems, surveillance systems, and global public health stakeholders, we developed a Target Product Profile describing the minimal and optimal characteristics of such an app. We collected feedback over two rounds and refined the characteristics to arrive at a preferred agreement level of greater than 75%, with an average of 92% agreement (range: 79–100%). As per this feedback, such an app should be compatible with many RDTs and mobile devices without needing accessories. The app should assist the user with RDT-specific instructions, include checks to facilitate quality control of the testing process and suggest results with ≥ 95% accuracy across common lighting conditions while allowing the user to determine the final result. Data from the app must be under the control of the health program that operates it, and the app should support at least one of the common data exchange formats HL7, FHIR, ASTM or JSON. The Target Product Profile also lays out the minimum data security and privacy requirements for the app. Public Library of Science 2020-01-29 /pmc/articles/PMC6988927/ /pubmed/31995628 http://dx.doi.org/10.1371/journal.pone.0228311 Text en © 2020 Kadam et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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 Kadam, Rigveda White, Wallace Banks, Nicholas Katz, Zachary Dittrich, Sabine Kelly-Cirino, Cassandra Target Product Profile for a mobile app to read rapid diagnostic tests to strengthen infectious disease surveillance |
title | Target Product Profile for a mobile app to read rapid diagnostic tests to strengthen infectious disease surveillance |
title_full | Target Product Profile for a mobile app to read rapid diagnostic tests to strengthen infectious disease surveillance |
title_fullStr | Target Product Profile for a mobile app to read rapid diagnostic tests to strengthen infectious disease surveillance |
title_full_unstemmed | Target Product Profile for a mobile app to read rapid diagnostic tests to strengthen infectious disease surveillance |
title_short | Target Product Profile for a mobile app to read rapid diagnostic tests to strengthen infectious disease surveillance |
title_sort | target product profile for a mobile app to read rapid diagnostic tests to strengthen infectious disease surveillance |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988927/ https://www.ncbi.nlm.nih.gov/pubmed/31995628 http://dx.doi.org/10.1371/journal.pone.0228311 |
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