Perspectives on the representation of frailty in the electronic frailty index

Author:

Thandi Manpreet,Wong Sabrina T.,Price Morgan,Baumbusch Jennifer

Abstract

Abstract Background Frailty is a state of increased vulnerability from physical, social, and cognitive factors resulting in greater risk of negative health-related outcomes and increased healthcare expenditure. A 36-factor electronic frailty index (eFI) developed in the United Kingdom calculates frailty scores using electronic medical record data. There is currently no standardization of frailty screening in Canadian primary care. In order to implement the eFI in a Canadian context, adaptation of the tool is necessary because frailty is represented by different clinical terminologies in the UK and Canada. In considering the promise of implementing an eFI in British Columbia, Canada, we first looked at the content validation of the 36-factor eFI. Our research question was: Does the eFI represent frailty from the perspectives of primary care clinicians and older adults in British Columbia? Methods A modified Delphi using three rounds of questionnaires with a panel of 23 experts (five family physicians, five nurse practitioners, five nurses, four allied health professionals, four older adults) reviewed and provided feedback on the 36-factor eFI. These professional groups were chosen because they closely work as interprofessional teams within primary care settings with older adults. Older adults provide real life context and experiences. Questionnaires involved rating the importance of each frailty factor on a 0–10 scale and providing rationale for ratings. Panelists were also given the opportunity to suggest additional factors that ought to be included in the screening tool. Suggested factors were similarly rated in two Delphi rounds. Results Thirty-three of the 36 eFI factors achieved consensus (> 80% of panelists provided a rating of ≥ 8). Factors that did not achieve consensus were hypertension, thyroid disorder and peptic ulcer. These factors were perceived as easily treatable or manageable and/or not considered reflective of frailty on their own. Additional factors suggested by panelists that achieved consensus included: cancer, challenges to healthcare access, chronic pain, communication challenges, fecal incontinence, food insecurity, liver failure/cirrhosis, mental health challenges, medication noncompliance, poverty/financial difficulties, race/ethnic disparity, sedentary/low activity levels, and substance use/misuse. There was a 100% retention rate in each of the three Delphi rounds. Conclusions and next steps Three key findings emerged from this study: the conceptualization of frailty varied across participants, identification of frailty in community/primary care remains challenging, and social determinants of health affect clinicians’ assessments and perceptions of frailty status. This study will inform the next phase of a broader mixed-method sequential study to build a frailty screening tool that could ultimately become a standard of practice for frailty screening in Canadian primary care. Early detection of frailty can help tailor decision making, frame discussions about goals of care, prevent advancement on the frailty trajectory, and ultimately decrease health expenditures, leading to improved patient and system level outcomes.

Funder

Canadian Institutes of Health Research

Canadian Nurses Foundation

Publisher

Springer Science and Business Media LLC

Reference83 articles.

1. The Canadian Frailty Network. Frailty matters: A growing health system challenge. 2020. https://www.cfn-nce.ca/frailty-matters/. Accessed 22 Aug 2023.

2. Statistics Canada. Seniors. 2018. https://www150.statcan.gc.ca/n1/pub/11-402- x/2011000/chap/seniors-aines/seniors-aines-eng.htm. Accessed 22 Aug 2023.

3. World Health Organization. Ageing and Health. 2018. https://www.who.int/news-room/fact-sheets/detail/ageing-and-health. Accessed 22 Aug 2023.

4. Fedarko NS. The Biology of Ageing and Frailty. Clin Geriatr Med. 2011;27(1):27–37. https://doi.org/10.1016/j.cger.2020.08.006.

5. Langton JM, Wong ST, Burge F. et al. Population segments as a tool for health care performance reporting: an exploratory study in the Canadian province of British Columbia. BMC Family Practice. 2020;21(98). https://doi.org/10.1186/s12875-020-01141-w

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