Home-based telerehabilitation software systems for remote supervising: a systematic review. (10th April 2020)

• Record Type: Journal Article
• Authors: Hosseiniravandi, Mohammad; Kahlaee, Amir H; Karim, Hesam; Ghamkhar, Leila; Safdari, Reza
• Is Part Of: International journal of technology assessment in health care. Volume 36:Number 2(2020)
• Page Start: 113
• Page End: 125
• Publication Date: 2020-04-10
• Subjects: Telerehabilitation, -- Telemedicine, -- Patient Monitoring, -- Home Care Services, -- mHealth; Medical technology -- Periodicals; Technology assessment -- Periodicals; 610.28
• DOI: 10.1017/S0266462320000021
• Languages: English
• ISSNs: 0266-4623

Abstract

Abstract : Objectives: In the past decade, with the ever-increasing growth of information and communication technologies, telerehabilitation, especially home-based rehabilitation (HBR), has been widely considered by researchers. Many software systems are developed to address HBR programs, which includes various functionalities. The aim of this study is to review the functional features of these systems designed for remote supervising of HBR programs. Methods: Scopus, PubMed, EMBASE, ISI Web of Science, Cochrane Library, IEEE Xplore Digital Library, and ProQuest databases were searched for English-language articles published between January 2008 and February 2018 to retrieve studies reported an home-based telerehabilitation software system aiming to remotely supervise HBR program. Results: A total of fifty studies that reported twenty-two unique systems met the inclusion criteria. Various functional features were identified including but not limited to exercise plan management, report/statistics generating, patient education, and task scheduling. Disorders or diseases addressed by these systems could mainly be grouped into five categories: musculoskeletal, neurological, respiratory, cardiovascular, and other health-related problems. Usability and acceptability, and clinical/patient outcomes were the most reported outcomes and data analysis was used by the majority of included studies to measure the outcomes. Conclusions: Systems developed for supervising of HBR program are diverse. However, preliminary results of this review revealed that these systems share more or less common functionalities. However, further research is needed to determine the requirements, structure, and effectiveness of these systems in real-life settings.