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Chronic Disease Management Strategies / Artificial Intelligence in Healthcare · Journal article
مجله پیاورد سلامت · August 17, 2026
Early or partial results. Treat as a signal, not a conclusion.
This rapid review catalogued 55 studies of health-related quality of life recommender systems across chronic diseases (2003–2022), identifying 55 systems distributed across mobile applications and internet platforms, and extracting 98 assessment tools. The review is descriptive and does not synthesize evidence of efficacy, comparative effectiveness, or clinical impact; it maps the landscape of evaluation approaches but does not establish which systems or tools are most effective.
Rapid systematic review. Published studies describing recommender systems and evaluation frameworks for health-related quality of life in patients with chronic diseases; 55 articles total.. Intervention: Recommender systems for health-related quality of life in chronic diseases, including mobile applications and internet platforms.. n = 55.
Endocrine and metabolic diseases were most frequently reviewed (15 cases, 27.3%), dominated by diabetes (13 cases) Cardiovascular diseases represented 9 cases (16.4%), and respiratory diseases 7 cases (12.7%) 55 extracted systems comprised 15 general mobile applications (27.3%), 16 self-management mobile applications (29.1%), 15 general internet platforms (27.3%), and 9 self-management internet platforms (16.4%)
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
This review does not establish clinical efficacy or outcomes; it provides a landscape map of available systems and evaluation methodologies. Clinicians should recognize the diversity of systems and evaluation tools, but the source does not identify which systems are most effective or which evaluation approaches best predict clinical benefit.
A rapid systematic review of 55 studies on recommender systems for chronic disease quality of life; descriptive categorization of systems and evaluation tools without meta-analysis, efficacy comparison, or outcome synthesis limits evidence strength.
As stated by the source record.
Quoted from the source exactly as published.
This review does not establish clinical efficacy or outcomes; it provides a landscape map of available systems and evaluation methodologies. Clinicians should recognize the diversity of systems and evaluation tools, but the source does not identify which systems are most effective or which evaluation approaches best predict clinical benefit.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
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.
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