Ethics code: IR.MODARES.REC.1400.095
1- Master of Sciences Student in Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
2- Associate Professor, Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran ,e.maserat@modares.ac.ir
2- Associate Professor, Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran ,
Abstract: (23 Views)
Background and Aim: The rise in chronic diseases is one of the major challenges facing healthcare systems in the 21st century. Developed countries have turned to health-related quality of life recommender systems to address this issue. This study aims to review and evaluate these systems in the context of chronic diseases.
Materials and Methods: A rapid review method was used in this study. The search was performed using a combination of keywords chronic disease, recommender system, health-related quality of life, and evaluation. The most frequently reviewed systems were related to the endocrine and metabolic diseases group with 15 cases (27.3%), which included diabetes (13 cases) and obesity (2 cases). This was followed by cardiovascular diseases with 9 cases (16.4%), including heart failure (7 cases), coronary artery disease (1 case), and hypertension (1 case), as well as respiratory diseases with 7 cases (12.7%), including chronic lung disease (4 cases), asthma (2 cases), and lung transplantation (1 case). Based on the inclusion criteria, some other chronic diseases including blood diseases and immune mechanism-related disorders with 2 cases (3.6%) including AIDS and hemophilia, cancers with 2 cases (3.6%), digestive diseases with 1 case (1.8%) including hepatitis and urinary tract diseases with 1 (1.8%) were investigated in this study, but they did not have a significant contribution. In order to assess the information needs, a search was conducted in library resources in three databases "Google Scholar", "PubMed" and "Scopus", with the aim of extracting articles of recommender systems in the field of health-related quality of life in chronic diseases, assessment tools and frameworks. The studies included 55 articles published in the period from 2003 to 2022.
Results: The extracted systems in the present studies included 15 general mobile-based applications (27.3%), 16 mobile-based self-management and self-care applications (29.1%), 15 general internet platforms, sites and portals (27.3%), and 9 internet self-management and self-care platforms, sites and portals (16.4%). The studies used 4 methods of usability, effectiveness, satisfaction and technical evaluation. In most studies, usability evaluation was used with the aim of usability in 32 cases (58.2%) and effectiveness with the aim of health-related quality of life (behavior, knowledge and attitude) in 25 cases (45.45%). Ease of use features were used in 18 cases (32.7%), user-friendliness in 14 cases (25.45%), and usefulness in 10 cases (18.18%). In the second phase of the study, 98 assessment tools in the form of interviews and questionnaires from 55 studies were extracted and categorized. Ultimately, 50 usability tools, 26 effectiveness tools, 18 satisfaction tools, and 3 technical tools resulted from this study.
Conclusion: With the growing number of mobile health applications and health-related quality of life systems, choosing the most suitable and effective option for users has become a challenging task. Paying attention to standard and evidence-based components of evaluation of these recommended systems can be effective in improving the quality of life related to patients’ health.
Materials and Methods: A rapid review method was used in this study. The search was performed using a combination of keywords chronic disease, recommender system, health-related quality of life, and evaluation. The most frequently reviewed systems were related to the endocrine and metabolic diseases group with 15 cases (27.3%), which included diabetes (13 cases) and obesity (2 cases). This was followed by cardiovascular diseases with 9 cases (16.4%), including heart failure (7 cases), coronary artery disease (1 case), and hypertension (1 case), as well as respiratory diseases with 7 cases (12.7%), including chronic lung disease (4 cases), asthma (2 cases), and lung transplantation (1 case). Based on the inclusion criteria, some other chronic diseases including blood diseases and immune mechanism-related disorders with 2 cases (3.6%) including AIDS and hemophilia, cancers with 2 cases (3.6%), digestive diseases with 1 case (1.8%) including hepatitis and urinary tract diseases with 1 (1.8%) were investigated in this study, but they did not have a significant contribution. In order to assess the information needs, a search was conducted in library resources in three databases "Google Scholar", "PubMed" and "Scopus", with the aim of extracting articles of recommender systems in the field of health-related quality of life in chronic diseases, assessment tools and frameworks. The studies included 55 articles published in the period from 2003 to 2022.
Results: The extracted systems in the present studies included 15 general mobile-based applications (27.3%), 16 mobile-based self-management and self-care applications (29.1%), 15 general internet platforms, sites and portals (27.3%), and 9 internet self-management and self-care platforms, sites and portals (16.4%). The studies used 4 methods of usability, effectiveness, satisfaction and technical evaluation. In most studies, usability evaluation was used with the aim of usability in 32 cases (58.2%) and effectiveness with the aim of health-related quality of life (behavior, knowledge and attitude) in 25 cases (45.45%). Ease of use features were used in 18 cases (32.7%), user-friendliness in 14 cases (25.45%), and usefulness in 10 cases (18.18%). In the second phase of the study, 98 assessment tools in the form of interviews and questionnaires from 55 studies were extracted and categorized. Ultimately, 50 usability tools, 26 effectiveness tools, 18 satisfaction tools, and 3 technical tools resulted from this study.
Conclusion: With the growing number of mobile health applications and health-related quality of life systems, choosing the most suitable and effective option for users has become a challenging task. Paying attention to standard and evidence-based components of evaluation of these recommended systems can be effective in improving the quality of life related to patients’ health.
Type of Study: Review |
Subject:
Health Information Technology
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