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Information Technology–Assisted Treatment Planning and Performance Assessment for Severe Thalassemia Care in Low- and Middle-Income Countries: Observational Study

BACKGROUND: Successful models of information and communication technology (ICT) applied to cost-effective delivery of quality care in low- and middle-income countries (LMIC) are an increasing necessity. Severe thalassemia is one of the most common life-threatening noncommunicable diseases of childre...

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Autores principales: Agarwal, Rajat Kumar, Sedai, Amit, Ankita, Kumari, Parmar, Lalith, Dhanya, Rakesh, Dhimal, Sunil, Sriniwas, Reshma, Gowda, Ashwini, Gujjal, Pooja, H, Pushpa, Jain, Suman, Ramaiah, J Dasaratha, Jali, Sujata, Tallur, Neelavva Rayappa, Ramprakash, Stalin, Faulkner, Lawrence
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364210/
https://www.ncbi.nlm.nih.gov/pubmed/30672740
http://dx.doi.org/10.2196/medinform.9291
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author Agarwal, Rajat Kumar
Sedai, Amit
Ankita, Kumari
Parmar, Lalith
Dhanya, Rakesh
Dhimal, Sunil
Sriniwas, Reshma
Gowda, Ashwini
Gujjal, Pooja
H, Pushpa
Jain, Suman
Ramaiah, J Dasaratha
Jali, Sujata
Tallur, Neelavva Rayappa
Ramprakash, Stalin
Faulkner, Lawrence
author_facet Agarwal, Rajat Kumar
Sedai, Amit
Ankita, Kumari
Parmar, Lalith
Dhanya, Rakesh
Dhimal, Sunil
Sriniwas, Reshma
Gowda, Ashwini
Gujjal, Pooja
H, Pushpa
Jain, Suman
Ramaiah, J Dasaratha
Jali, Sujata
Tallur, Neelavva Rayappa
Ramprakash, Stalin
Faulkner, Lawrence
author_sort Agarwal, Rajat Kumar
collection PubMed
description BACKGROUND: Successful models of information and communication technology (ICT) applied to cost-effective delivery of quality care in low- and middle-income countries (LMIC) are an increasing necessity. Severe thalassemia is one of the most common life-threatening noncommunicable diseases of children globally. OBJECTIVE: The aim was to study the impact of ICT on quality of care for severe thalassemia patients in LMIC. METHODS: A total of 1110 patients with severe thalassemia from five centers in India were followed over a 1-year period. The impact of consistent use of a Web-based platform designed to assist comprehensive management of severe thalassemia (ThalCare) on key indicators of quality of care such as minimum (pretransfusion) hemoglobin, serum ferritin, liver size, and spleen size were assessed. RESULTS: Overall improvements in initial hemoglobin, ferritin, and liver and spleen size were significant (P<.001 for each). For four centers, the improvement in mean pretransfusion hemoglobin level was statistically significant (P<.001). Four of five centers achieved reduction in mean ferritin levels, with two displaying a significant drop in ferritin (P=.004 and P<.001). One of the five centers did not record liver and spleen size on palpation, but of the remaining four centers, two witnessed a large drop in liver and spleen size (P<.01), one witnessed moderate drop (P=.05 for liver; P=.03 for spleen size), while the fourth witnessed a moderate increase in liver size (P=.08) and insignificant change in spleen size (P=.12). CONCLUSIONS: Implementation of computer-assisted treatment planning and performance assessment consistently and positively impacted indexes reflecting effective delivery of care to patients suffering from severe thalassemia in LMIC.
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spelling pubmed-63642102019-02-27 Information Technology–Assisted Treatment Planning and Performance Assessment for Severe Thalassemia Care in Low- and Middle-Income Countries: Observational Study Agarwal, Rajat Kumar Sedai, Amit Ankita, Kumari Parmar, Lalith Dhanya, Rakesh Dhimal, Sunil Sriniwas, Reshma Gowda, Ashwini Gujjal, Pooja H, Pushpa Jain, Suman Ramaiah, J Dasaratha Jali, Sujata Tallur, Neelavva Rayappa Ramprakash, Stalin Faulkner, Lawrence JMIR Med Inform Original Paper BACKGROUND: Successful models of information and communication technology (ICT) applied to cost-effective delivery of quality care in low- and middle-income countries (LMIC) are an increasing necessity. Severe thalassemia is one of the most common life-threatening noncommunicable diseases of children globally. OBJECTIVE: The aim was to study the impact of ICT on quality of care for severe thalassemia patients in LMIC. METHODS: A total of 1110 patients with severe thalassemia from five centers in India were followed over a 1-year period. The impact of consistent use of a Web-based platform designed to assist comprehensive management of severe thalassemia (ThalCare) on key indicators of quality of care such as minimum (pretransfusion) hemoglobin, serum ferritin, liver size, and spleen size were assessed. RESULTS: Overall improvements in initial hemoglobin, ferritin, and liver and spleen size were significant (P<.001 for each). For four centers, the improvement in mean pretransfusion hemoglobin level was statistically significant (P<.001). Four of five centers achieved reduction in mean ferritin levels, with two displaying a significant drop in ferritin (P=.004 and P<.001). One of the five centers did not record liver and spleen size on palpation, but of the remaining four centers, two witnessed a large drop in liver and spleen size (P<.01), one witnessed moderate drop (P=.05 for liver; P=.03 for spleen size), while the fourth witnessed a moderate increase in liver size (P=.08) and insignificant change in spleen size (P=.12). CONCLUSIONS: Implementation of computer-assisted treatment planning and performance assessment consistently and positively impacted indexes reflecting effective delivery of care to patients suffering from severe thalassemia in LMIC. JMIR Publications 2019-01-23 /pmc/articles/PMC6364210/ /pubmed/30672740 http://dx.doi.org/10.2196/medinform.9291 Text en ©Rajat Kumar Agarwal, Amit Sedai, Kumari Ankita, Lalith Parmar, Rakesh Dhanya, Sunil Dhimal, Reshma Sriniwas, Ashwini Gowda, Pooja Gujjal, Pushpa H, Suman Jain, J Dasaratha Ramaiah, Sujata Jali, Neelavva Rayappa Tallur, Stalin Ramprakash, Lawrence Faulkner. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 23.01.2019. 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 work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Agarwal, Rajat Kumar
Sedai, Amit
Ankita, Kumari
Parmar, Lalith
Dhanya, Rakesh
Dhimal, Sunil
Sriniwas, Reshma
Gowda, Ashwini
Gujjal, Pooja
H, Pushpa
Jain, Suman
Ramaiah, J Dasaratha
Jali, Sujata
Tallur, Neelavva Rayappa
Ramprakash, Stalin
Faulkner, Lawrence
Information Technology–Assisted Treatment Planning and Performance Assessment for Severe Thalassemia Care in Low- and Middle-Income Countries: Observational Study
title Information Technology–Assisted Treatment Planning and Performance Assessment for Severe Thalassemia Care in Low- and Middle-Income Countries: Observational Study
title_full Information Technology–Assisted Treatment Planning and Performance Assessment for Severe Thalassemia Care in Low- and Middle-Income Countries: Observational Study
title_fullStr Information Technology–Assisted Treatment Planning and Performance Assessment for Severe Thalassemia Care in Low- and Middle-Income Countries: Observational Study
title_full_unstemmed Information Technology–Assisted Treatment Planning and Performance Assessment for Severe Thalassemia Care in Low- and Middle-Income Countries: Observational Study
title_short Information Technology–Assisted Treatment Planning and Performance Assessment for Severe Thalassemia Care in Low- and Middle-Income Countries: Observational Study
title_sort information technology–assisted treatment planning and performance assessment for severe thalassemia care in low- and middle-income countries: observational study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364210/
https://www.ncbi.nlm.nih.gov/pubmed/30672740
http://dx.doi.org/10.2196/medinform.9291
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