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...

Full description

Saved in:
Bibliographic Details
Main Authors: Alma Mohammed Alturaiki, Haneen Reda Banjar, Ahmed Salleh Barefah, Salwa Abdulrahman Alnajjar, Salwa Hindawi
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:International Journal of Telemedicine and Applications
Online Access:http://dx.doi.org/10.1155/2022/9734518
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832565280632471552
author Alma Mohammed Alturaiki
Haneen Reda Banjar
Ahmed Salleh Barefah
Salwa Abdulrahman Alnajjar
Salwa Hindawi
author_facet Alma Mohammed Alturaiki
Haneen Reda Banjar
Ahmed Salleh Barefah
Salwa Abdulrahman Alnajjar
Salwa Hindawi
author_sort Alma Mohammed Alturaiki
collection DOAJ
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 Article
id doaj-art-08a7f8ed082a4580a668a010b8dd4e95
institution Kabale University
issn 1687-6423
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series International Journal of Telemedicine and Applications
spelling doaj-art-08a7f8ed082a4580a668a010b8dd4e952025-02-03T01:08:45ZengWileyInternational Journal of Telemedicine and Applications1687-64232022-01-01202210.1155/2022/9734518A Smart Chatbot for Interactive Management in Beta Thalassemia PatientsAlma Mohammed Alturaiki0Haneen Reda Banjar1Ahmed Salleh Barefah2Salwa Abdulrahman Alnajjar3Salwa Hindawi4King Abdulaziz and His Companions Foundation for Giftedness and Creativity (Mawhiba)Computer Science DepartmentHematology DepartmentHematology DepartmentHematology DepartmentBackground. 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.http://dx.doi.org/10.1155/2022/9734518
spellingShingle Alma Mohammed Alturaiki
Haneen Reda Banjar
Ahmed Salleh Barefah
Salwa Abdulrahman Alnajjar
Salwa Hindawi
A Smart Chatbot for Interactive Management in Beta Thalassemia Patients
International Journal of Telemedicine and Applications
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
url http://dx.doi.org/10.1155/2022/9734518
work_keys_str_mv AT almamohammedalturaiki asmartchatbotforinteractivemanagementinbetathalassemiapatients
AT haneenredabanjar asmartchatbotforinteractivemanagementinbetathalassemiapatients
AT ahmedsallehbarefah asmartchatbotforinteractivemanagementinbetathalassemiapatients
AT salwaabdulrahmanalnajjar asmartchatbotforinteractivemanagementinbetathalassemiapatients
AT salwahindawi asmartchatbotforinteractivemanagementinbetathalassemiapatients
AT almamohammedalturaiki smartchatbotforinteractivemanagementinbetathalassemiapatients
AT haneenredabanjar smartchatbotforinteractivemanagementinbetathalassemiapatients
AT ahmedsallehbarefah smartchatbotforinteractivemanagementinbetathalassemiapatients
AT salwaabdulrahmanalnajjar smartchatbotforinteractivemanagementinbetathalassemiapatients
AT salwahindawi smartchatbotforinteractivemanagementinbetathalassemiapatients