mHealth technologies for osteoarthritis self-management and treatment: A systematic review
| dc.contributor.author | Choi, Wonchan | |
| dc.contributor.author | Zheng, Hua | |
| dc.contributor.author | Franklin, Patricia D | |
| dc.contributor.author | Tulu, Bengisu | |
| dc.date | 2022-08-11T08:09:54.000 | |
| dc.date.accessioned | 2022-08-23T16:48:01Z | |
| dc.date.available | 2022-08-23T16:48:01Z | |
| dc.date.issued | 2019-09-01 | |
| dc.date.submitted | 2019-10-17 | |
| dc.identifier.citation | <p>Health Informatics J. 2019 Sep;25(3):984-1003. doi: 10.1177/1460458217735676. Epub 2017 Nov 1. <a href="https://doi.org/10.1177/1460458217735676">Link to article on publisher's site</a></p> | |
| dc.identifier.issn | 1460-4582 (Linking) | |
| dc.identifier.doi | 10.1177/1460458217735676 | |
| dc.identifier.pmid | 29090628 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.14038/41193 | |
| dc.description.abstract | Osteoarthritis is a common chronic disease that can be better treated with the help of self-management interventions. Mobile health (mHealth) technologies are becoming a popular means to deliver such interventions. We reviewed the current state of research and development of mHealth technologies for osteoarthritis self-management to determine gaps future research could address. We conducted a systematic review of English articles and a survey of apps available in the marketplace as of 2016. Among 117 unique articles identified, 25 articles that met our inclusion criteria were reviewed in-depth. The app search identified 23 relevant apps for osteoarthritis self-management. Through the synthesis of three research themes (osteoarthritis assessment tools, osteoarthritis measurement tools, and osteoarthritis motion monitoring tools) that emerged from the current knowledge base, we provide a design framework to guide the development of more comprehensive osteoarthritis mHealth apps that facilitate self-management, decision support, and shared decision-making. | |
| dc.language.iso | en_US | |
| dc.relation | <p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=29090628&dopt=Abstract">Link to Article in PubMed</a></p> | |
| dc.rights | Copyright © The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | arthritis | |
| dc.subject | mHealth | |
| dc.subject | mobile health | |
| dc.subject | osteoarthritis of knee | |
| dc.subject | self-management | |
| dc.subject | smartphone app | |
| dc.subject | Analytical, Diagnostic and Therapeutic Techniques and Equipment | |
| dc.subject | Health Communication | |
| dc.subject | Health Services Administration | |
| dc.subject | Musculoskeletal Diseases | |
| dc.subject | Orthopedics | |
| dc.subject | Telemedicine | |
| dc.title | mHealth technologies for osteoarthritis self-management and treatment: A systematic review | |
| dc.type | Journal Article | |
| dc.source.journaltitle | Health informatics journal | |
| dc.source.volume | 25 | |
| dc.source.issue | 3 | |
| dc.identifier.legacyfulltext | https://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=4997&context=oapubs&unstamped=1 | |
| dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/oapubs/3980 | |
| dc.identifier.contextkey | 15570726 | |
| refterms.dateFOA | 2022-08-23T16:48:02Z | |
| html.description.abstract | <p>Osteoarthritis is a common chronic disease that can be better treated with the help of self-management interventions. Mobile health (mHealth) technologies are becoming a popular means to deliver such interventions. We reviewed the current state of research and development of mHealth technologies for osteoarthritis self-management to determine gaps future research could address. We conducted a systematic review of English articles and a survey of apps available in the marketplace as of 2016. Among 117 unique articles identified, 25 articles that met our inclusion criteria were reviewed in-depth. The app search identified 23 relevant apps for osteoarthritis self-management. Through the synthesis of three research themes (osteoarthritis assessment tools, osteoarthritis measurement tools, and osteoarthritis motion monitoring tools) that emerged from the current knowledge base, we provide a design framework to guide the development of more comprehensive osteoarthritis mHealth apps that facilitate self-management, decision support, and shared decision-making.</p> | |
| dc.identifier.submissionpath | oapubs/3980 | |
| dc.contributor.department | Department of Orthopedics and Physical Rehabilitation | |
| dc.source.pages | 984-1003 |
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Except where otherwise noted, this item's license is described as Copyright © The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
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