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A Smart Chatbot for Interactive Management in Beta Thalassemia Patients
BACKGROUND: β-thalassemia is an inherited blood disorder that affects the production of hemoglobin molecules owing to the reduction or absence of beta chains. Transfusion therapy has had a key role in extending the lifespan of β-thalassemia patients. This life-saving therapy is linked to numerous as...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117039/ https://www.ncbi.nlm.nih.gov/pubmed/35601050 http://dx.doi.org/10.1155/2022/9734518 |
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author | Alturaiki, Alma Mohammed Banjar, Haneen Reda Barefah, Ahmed Salleh Alnajjar, Salwa Abdulrahman Hindawi, Salwa |
author_facet | Alturaiki, Alma Mohammed Banjar, Haneen Reda Barefah, Ahmed Salleh Alnajjar, Salwa Abdulrahman Hindawi, Salwa |
author_sort | Alturaiki, Alma Mohammed |
collection | PubMed |
description | BACKGROUND: β-thalassemia is an inherited blood disorder that affects the production of hemoglobin molecules owing to the reduction or absence of beta chains. Transfusion therapy has had a key role in extending the lifespan of β-thalassemia patients. This life-saving therapy is linked to numerous assessments and complications that now comprise most thalassemia management considerations. Consequently, many patients do not receive adequate information about the required assessments, as indicated by evidence-based medical guidelines. Patients with β-thalassemia may benefit from chatbots that follow up on their condition and that provide the required assessment information. Self-management will hopefully have a positive impact on health outcomes. OBJECTIVES: This study aims to develop a chatbot that can assist in the management of β-thalassemia by providing the assessment information required to monitor patients' statuses. METHODS: The chatbot operated as a messaging system. A question/answer system was created based on knowledge pertaining to β-thalassemia assembled from experts, medical guidelines, and articles. Recommendations regarding the patient's follow-up assessment are made based on the answers. RESULTS: A prototype was implemented to demonstrate how the chatbots could dynamically and flexibly provide the assessment information required to follow up on and monitor patients. A small sample of adults with β-thalassemia used the chatbot to examine the system's usability and perceived utility. A system usability scale and utility scale were implemented to complete a post-test survey. The chatbots were considered by 34 patients, of whom the majority (72%) found them easy to use, while more than 90% of patients considered their use beneficial. Most of the participants agreed that the chatbots could improve their knowledge about their β-thalassemia assessments. CONCLUSION: Our findings suggest that chatbots can be beneficial to the development of recommended tests and management related to the assessment of β-thalassemia. |
format | Online Article Text |
id | pubmed-9117039 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-91170392022-05-19 A Smart Chatbot for Interactive Management in Beta Thalassemia Patients Alturaiki, Alma Mohammed Banjar, Haneen Reda Barefah, Ahmed Salleh Alnajjar, Salwa Abdulrahman Hindawi, Salwa Int J Telemed Appl Research Article BACKGROUND: β-thalassemia is an inherited blood disorder that affects the production of hemoglobin molecules owing to the reduction or absence of beta chains. Transfusion therapy has had a key role in extending the lifespan of β-thalassemia patients. This life-saving therapy is linked to numerous assessments and complications that now comprise most thalassemia management considerations. Consequently, many patients do not receive adequate information about the required assessments, as indicated by evidence-based medical guidelines. Patients with β-thalassemia may benefit from chatbots that follow up on their condition and that provide the required assessment information. Self-management will hopefully have a positive impact on health outcomes. OBJECTIVES: This study aims to develop a chatbot that can assist in the management of β-thalassemia by providing the assessment information required to monitor patients' statuses. METHODS: The chatbot operated as a messaging system. A question/answer system was created based on knowledge pertaining to β-thalassemia assembled from experts, medical guidelines, and articles. Recommendations regarding the patient's follow-up assessment are made based on the answers. RESULTS: A prototype was implemented to demonstrate how the chatbots could dynamically and flexibly provide the assessment information required to follow up on and monitor patients. A small sample of adults with β-thalassemia used the chatbot to examine the system's usability and perceived utility. A system usability scale and utility scale were implemented to complete a post-test survey. The chatbots were considered by 34 patients, of whom the majority (72%) found them easy to use, while more than 90% of patients considered their use beneficial. Most of the participants agreed that the chatbots could improve their knowledge about their β-thalassemia assessments. CONCLUSION: Our findings suggest that chatbots can be beneficial to the development of recommended tests and management related to the assessment of β-thalassemia. Hindawi 2022-05-11 /pmc/articles/PMC9117039/ /pubmed/35601050 http://dx.doi.org/10.1155/2022/9734518 Text en Copyright © 2022 Alma Mohammed Alturaiki et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Alturaiki, Alma Mohammed Banjar, Haneen Reda Barefah, Ahmed Salleh Alnajjar, Salwa Abdulrahman Hindawi, Salwa A Smart Chatbot for Interactive Management in Beta Thalassemia Patients |
title | A Smart Chatbot for Interactive Management in Beta Thalassemia Patients |
title_full | A Smart Chatbot for Interactive Management in Beta Thalassemia Patients |
title_fullStr | A Smart Chatbot for Interactive Management in Beta Thalassemia Patients |
title_full_unstemmed | A Smart Chatbot for Interactive Management in Beta Thalassemia Patients |
title_short | A Smart Chatbot for Interactive Management in Beta Thalassemia Patients |
title_sort | smart chatbot for interactive management in beta thalassemia patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117039/ https://www.ncbi.nlm.nih.gov/pubmed/35601050 http://dx.doi.org/10.1155/2022/9734518 |
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