Use of Artificial Intelligence in the Identification and Management of Frailty: A Scoping Review Protocol
Introduction Rapid population ageing and associated health issues such as frailty are a growing public health concern. While early identification and management of frailty may limit adverse health outcomes, the complex presentations of frailty pose challenges for clinicians. Artificial intelligence...
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2023-12-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/13/12/e076918.full |
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| author | Clare Liddy Daniel I McIsaac Sathya Karunananthan Sabrina T Wong Bishwajit Ghose Nadia Sourial Howard Bergman Hui Yan Ramtin Hakimjavadi Samira Abbasgholizadeh Rahimi Arya Rahgozar Kunal A Dalsania Jim LaPlante Tess McCutcheon Manpreet Thandi |
| author_facet | Clare Liddy Daniel I McIsaac Sathya Karunananthan Sabrina T Wong Bishwajit Ghose Nadia Sourial Howard Bergman Hui Yan Ramtin Hakimjavadi Samira Abbasgholizadeh Rahimi Arya Rahgozar Kunal A Dalsania Jim LaPlante Tess McCutcheon Manpreet Thandi |
| author_sort | Clare Liddy |
| collection | DOAJ |
| description | Introduction Rapid population ageing and associated health issues such as frailty are a growing public health concern. While early identification and management of frailty may limit adverse health outcomes, the complex presentations of frailty pose challenges for clinicians. Artificial intelligence (AI) has emerged as a potential solution to support the early identification and management of frailty. In order to provide a comprehensive overview of current evidence regarding the development and use of AI technologies including machine learning and deep learning for the identification and management of frailty, this protocol outlines a scoping review aiming to identify and present available information in this area. Specifically, this protocol describes a review that will focus on the clinical tools and frameworks used to assess frailty, the outcomes that have been evaluated and the involvement of knowledge users in the development, implementation and evaluation of AI methods and tools for frailty care in clinical settings.Methods and analysis This scoping review protocol details a systematic search of eight major academic databases, including Medline, Embase, PsycInfo, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Ageline, Web of Science, Scopus and Institute of Electrical and Electronics Engineers (IEEE) Xplore using the framework developed by Arksey and O’Malley and enhanced by Levac et al and the Joanna Briggs Institute. The search strategy has been designed in consultation with a librarian. Two independent reviewers will screen titles and abstracts, followed by full texts, for eligibility and then chart the data using a piloted data charting form. Results will be collated and presented through a narrative summary, tables and figures.Ethics and dissemination Since this study is based on publicly available information, ethics approval is not required. Findings will be communicated with healthcare providers, caregivers, patients and research and health programme funders through peer-reviewed publications, presentations and an infographic.Registration details OSF Registries (https://doi.org/10.17605/OSF.IO/T54G8). |
| format | Article |
| id | doaj-art-79ee968f6e514b9b80a24ca468b85476 |
| institution | DOAJ |
| issn | 2044-6055 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-79ee968f6e514b9b80a24ca468b854762025-08-20T03:11:03ZengBMJ Publishing GroupBMJ Open2044-60552023-12-01131210.1136/bmjopen-2023-076918Use of Artificial Intelligence in the Identification and Management of Frailty: A Scoping Review ProtocolClare Liddy0Daniel I McIsaac1Sathya Karunananthan2Sabrina T Wong3Bishwajit Ghose4Nadia Sourial5Howard Bergman6Hui Yan7Ramtin Hakimjavadi8Samira Abbasgholizadeh Rahimi9Arya Rahgozar10Kunal A Dalsania11Jim LaPlante12Tess McCutcheon13Manpreet Thandi14Department of Family Medicine, University of Ottawa, Ottawa, Ontario, CanadaSchool of Epidemiology & Public Health, University of Ottawa, Ottawa, Ontario, CanadaBruyere Research Institute, Ottawa, Ontario, Canada17 School of Nursing, University of British Columbia, Vancouver, British Columbia, CanadaInstitute of Nutrition and Food Science, University of Dhaka, Dhaka, BangladeshResearch Center of the Centre Hospitalier de l`Université de Montréal, Montreal, Quebec, CanadaDepartment of Family Medicine, McGill University, Montreal, Quebec, Canada5 Department of Psychiatry, Taizhou Second People`s Hospital, Taizhou, Zhejiang, ChinaC.T. Lamont Primary Health Care Research Centre, Bruyère Research Institute, Ottawa, Ontario, CanadaDepartment of Family Medicine, McGill University, Montreal, Quebec, CanadaThe Ottawa Hospital Research Institute, Ottawa, Ontario, CanadaInterdisciplinary School of Health Sciences, University of Ottawa, Ottawa, Ontario, CanadaCare Partner, Ottawa, Ontario, CanadaC.T. Lamont Primary Health Care Research Centre, Bruyère Research Institute, Ottawa, Ontario, CanadaCentre for Health Services and Policy Research, University of British Columbia, Vancouver, British Columbia, CanadaIntroduction Rapid population ageing and associated health issues such as frailty are a growing public health concern. While early identification and management of frailty may limit adverse health outcomes, the complex presentations of frailty pose challenges for clinicians. Artificial intelligence (AI) has emerged as a potential solution to support the early identification and management of frailty. In order to provide a comprehensive overview of current evidence regarding the development and use of AI technologies including machine learning and deep learning for the identification and management of frailty, this protocol outlines a scoping review aiming to identify and present available information in this area. Specifically, this protocol describes a review that will focus on the clinical tools and frameworks used to assess frailty, the outcomes that have been evaluated and the involvement of knowledge users in the development, implementation and evaluation of AI methods and tools for frailty care in clinical settings.Methods and analysis This scoping review protocol details a systematic search of eight major academic databases, including Medline, Embase, PsycInfo, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Ageline, Web of Science, Scopus and Institute of Electrical and Electronics Engineers (IEEE) Xplore using the framework developed by Arksey and O’Malley and enhanced by Levac et al and the Joanna Briggs Institute. The search strategy has been designed in consultation with a librarian. Two independent reviewers will screen titles and abstracts, followed by full texts, for eligibility and then chart the data using a piloted data charting form. Results will be collated and presented through a narrative summary, tables and figures.Ethics and dissemination Since this study is based on publicly available information, ethics approval is not required. Findings will be communicated with healthcare providers, caregivers, patients and research and health programme funders through peer-reviewed publications, presentations and an infographic.Registration details OSF Registries (https://doi.org/10.17605/OSF.IO/T54G8).https://bmjopen.bmj.com/content/13/12/e076918.full |
| spellingShingle | Clare Liddy Daniel I McIsaac Sathya Karunananthan Sabrina T Wong Bishwajit Ghose Nadia Sourial Howard Bergman Hui Yan Ramtin Hakimjavadi Samira Abbasgholizadeh Rahimi Arya Rahgozar Kunal A Dalsania Jim LaPlante Tess McCutcheon Manpreet Thandi Use of Artificial Intelligence in the Identification and Management of Frailty: A Scoping Review Protocol BMJ Open |
| title | Use of Artificial Intelligence in the Identification and Management of Frailty: A Scoping Review Protocol |
| title_full | Use of Artificial Intelligence in the Identification and Management of Frailty: A Scoping Review Protocol |
| title_fullStr | Use of Artificial Intelligence in the Identification and Management of Frailty: A Scoping Review Protocol |
| title_full_unstemmed | Use of Artificial Intelligence in the Identification and Management of Frailty: A Scoping Review Protocol |
| title_short | Use of Artificial Intelligence in the Identification and Management of Frailty: A Scoping Review Protocol |
| title_sort | use of artificial intelligence in the identification and management of frailty a scoping review protocol |
| url | https://bmjopen.bmj.com/content/13/12/e076918.full |
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