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Home-based telerehabilitation software systems for remote supervising: a systematic review

Published online by Cambridge University Press:  10 March 2020

Mohammad Hosseiniravandi Open the ORCID record for Mohammad Hosseiniravandi [Opens in a new window] ,
Amir H Kahlaee ,
Hesam Karim ,
Leila Ghamkhar  and
Reza Safdari
Mohammad Hosseiniravandi
Affiliation:
Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences (TUMS), Tehran, Iran
Amir H Kahlaee
Affiliation:
Department of Physical Therapy, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
Hesam Karim
Affiliation:
Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences (TUMS), Tehran, Iran
Leila Ghamkhar
Affiliation:
University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
Reza Safdari*
Affiliation:
Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences (TUMS), Tehran, Iran
*
Author for correspondence: Reza Safdari, E-mail: rsafdari@tums.ac.ir
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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.

Keywords

TelerehabilitationTelemedicinePatient MonitoringHome Care ServicesmHealth
Type
Assessment
Information
International Journal of Technology Assessment in Health Care , Volume 36 , Issue 2 , April 2020 , pp. 113 - 125
Copyright
Copyright © Cambridge University Press 2020

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