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Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review
BACKGROUND: Person- or patient-generated health data (PGHD) are health, wellness, and clinical data that people generate, record, and analyze for themselves. There is potential for PGHD to improve the efficiency and effectiveness of simulated rehabilitation technologies for stroke. Simulated rehabil...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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JMIR Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5964303/ https://www.ncbi.nlm.nih.gov/pubmed/29739739 http://dx.doi.org/10.2196/rehab.9123 |
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author | Dimaguila, Gerardo Luis Gray, Kathleen Merolli, Mark |
author_facet | Dimaguila, Gerardo Luis Gray, Kathleen Merolli, Mark |
author_sort | Dimaguila, Gerardo Luis |
collection | PubMed |
description | BACKGROUND: Person- or patient-generated health data (PGHD) are health, wellness, and clinical data that people generate, record, and analyze for themselves. There is potential for PGHD to improve the efficiency and effectiveness of simulated rehabilitation technologies for stroke. Simulated rehabilitation is a type of telerehabilitation that uses computer technologies and interfaces to allow the real-time simulation of rehabilitation activities or a rehabilitation environment. A leading technology for simulated rehabilitation is Microsoft’s Kinect, a video-based technology that uses infrared to track a user’s body movements. OBJECTIVE: This review attempts to understand to what extent Kinect-based stroke rehabilitation systems (K-SRS) have used PGHD and to what benefit. METHODS: The review is conducted in two parts. In part 1, aspects of relevance for PGHD were searched for in existing systematic reviews on K-SRS. The following databases were searched: IEEE Xplore, Association of Computing Machinery Digital Library, PubMed, Biomed Central, Cochrane Library, and Campbell Collaboration. In part 2, original research papers that presented or used K-SRS were reviewed in terms of (1) types of PGHD, (2) patient access to PGHD, (3) PGHD use, and (4) effects of PGHD use. The search was conducted in the same databases as part 1 except Cochrane and Campbell Collaboration. Reference lists on K-SRS of the reviews found in part 1 were also included in the search for part 2. There was no date restriction. The search was closed in June 2017. The quality of the papers was not assessed, as it was not deemed critical to understanding PGHD access and use in studies that used K-SRS. RESULTS: In part 1, 192 papers were identified, and after assessment only 3 papers were included. Part 1 showed that previous reviews focused on technical effectiveness of K-SRS with some attention on clinical effectiveness. None of those reviews reported on home-based implementation or PGHD use. In part 2, 163 papers were identified and after assessment, 41 papers were included. Part 2 showed that there is a gap in understanding how PGHD use may affect patients using K-SRS and a lack of patient participation in the design of such systems. CONCLUSIONS: This paper calls specifically for further studies of K-SRS—and for studies of technologies that allow patients to generate their own health data in general—to pay more attention to how patients’ own use of their data may influence their care processes and outcomes. Future studies that trial the effectiveness of K-SRS outside the clinic should also explore how patients and carers use PGHD in home rehabilitation programs. |
format | Online Article Text |
id | pubmed-5964303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-59643032018-05-30 Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review Dimaguila, Gerardo Luis Gray, Kathleen Merolli, Mark JMIR Rehabil Assist Technol Review BACKGROUND: Person- or patient-generated health data (PGHD) are health, wellness, and clinical data that people generate, record, and analyze for themselves. There is potential for PGHD to improve the efficiency and effectiveness of simulated rehabilitation technologies for stroke. Simulated rehabilitation is a type of telerehabilitation that uses computer technologies and interfaces to allow the real-time simulation of rehabilitation activities or a rehabilitation environment. A leading technology for simulated rehabilitation is Microsoft’s Kinect, a video-based technology that uses infrared to track a user’s body movements. OBJECTIVE: This review attempts to understand to what extent Kinect-based stroke rehabilitation systems (K-SRS) have used PGHD and to what benefit. METHODS: The review is conducted in two parts. In part 1, aspects of relevance for PGHD were searched for in existing systematic reviews on K-SRS. The following databases were searched: IEEE Xplore, Association of Computing Machinery Digital Library, PubMed, Biomed Central, Cochrane Library, and Campbell Collaboration. In part 2, original research papers that presented or used K-SRS were reviewed in terms of (1) types of PGHD, (2) patient access to PGHD, (3) PGHD use, and (4) effects of PGHD use. The search was conducted in the same databases as part 1 except Cochrane and Campbell Collaboration. Reference lists on K-SRS of the reviews found in part 1 were also included in the search for part 2. There was no date restriction. The search was closed in June 2017. The quality of the papers was not assessed, as it was not deemed critical to understanding PGHD access and use in studies that used K-SRS. RESULTS: In part 1, 192 papers were identified, and after assessment only 3 papers were included. Part 1 showed that previous reviews focused on technical effectiveness of K-SRS with some attention on clinical effectiveness. None of those reviews reported on home-based implementation or PGHD use. In part 2, 163 papers were identified and after assessment, 41 papers were included. Part 2 showed that there is a gap in understanding how PGHD use may affect patients using K-SRS and a lack of patient participation in the design of such systems. CONCLUSIONS: This paper calls specifically for further studies of K-SRS—and for studies of technologies that allow patients to generate their own health data in general—to pay more attention to how patients’ own use of their data may influence their care processes and outcomes. Future studies that trial the effectiveness of K-SRS outside the clinic should also explore how patients and carers use PGHD in home rehabilitation programs. JMIR Publications 2018-05-08 /pmc/articles/PMC5964303/ /pubmed/29739739 http://dx.doi.org/10.2196/rehab.9123 Text en ©Gerardo Luis Dimaguila, Kathleen Gray, Mark Merolli. Originally published in JMIR Rehabilitation and Assistive Technology (http://rehab.jmir.org), 08.05.2018. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Rehabilitation and Assistive Technology, is properly cited. The complete bibliographic information, a link to the original publication on http://rehab.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Review Dimaguila, Gerardo Luis Gray, Kathleen Merolli, Mark Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review |
title | Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review |
title_full | Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review |
title_fullStr | Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review |
title_full_unstemmed | Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review |
title_short | Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review |
title_sort | person-generated health data in simulated rehabilitation using kinect for stroke: literature review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5964303/ https://www.ncbi.nlm.nih.gov/pubmed/29739739 http://dx.doi.org/10.2196/rehab.9123 |
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