Keywords
Apps
Computational Intelligence
Treatment Adherence and Compliance
Chronic diseases
How to Cite
Abstract
Objective: To evaluate scientific publications on the use of software in aiding the treatment of non-communicable chronic diseases. Methods: This is a bibliometric study in which electronic searches were conducted in the following databases: National Library of Medicine (PubMed), Virtual Health Library (BVS), ScienceDirect, Scientific Electronic Library Online (Scielo), and BioMed Research International. Data collection utilized Health Sciences Descriptors (DeCS/MeSH) in Portuguese and English: Treatment Adherence and Compliance, Software, and Chronic Disease. Out of 112 identified studies, 40 were selected. Results: A predominance of publications in PubMed (n=37) was observed. The analysis of the articles indicated a higher number of studies with the methodology of Systematic Literature Review (n=5), predominantly in English (n=39), with the highest frequency of publications in the journals Journal of Medical Internet Research (n=6) and Public Library of Science One (n=4). The United States was the most prominent country (n=11), with notable contributions from the universities of Michigan and Utah (n=6). Conclusion: It was found that the most addressed field of learning was therapeutic adherence, and there is an exponential increase in studies focused on the theme. It was demonstrated that mobile applications promote healthy habits, facilitate medication adherence, simplify the doctor-patient relationship, and contribute significantly to the treatment of non-communicable chronic diseases.
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Copyright (c) 2024 Raoni Pegado, Rafaely Sabrina Sousa, Myrella Samylle Laurinda de Araújo , Maria Clara Alves de França Dantas , Denise Candeia de Lima, Milena Nunes Alves de Sousa