AI Article Synopsis

  • Frailty is an important marker used to assess risk and predict negative health outcomes in older adults, helping tailor medical care for vulnerable populations, like those with diabetes.
  • Implementing frailty screening in clinical settings faces challenges, but electronic frailty indices (eFIs) derived from electronic health records provide a promising solution for efficient and large-scale screening.
  • This paper reviews initial experiences from three organizations (UK's NHS, US Department of Veterans Affairs, and Atrium Health-Wake Forest Baptist) using eFIs, highlighting their implementation strategies and suggesting future research directions.

Article Abstract

Frailty represents an integrative prognostic marker of risk that associates with a myriad of age-related adverse outcomes in older adults. As a concept, frailty can help to target scarce resources and identify subgroups of vulnerable older adults that may benefit from interventions or changes in medical management, such as pursing less aggressive glycaemic targets for frail older adults with diabetes. In practice, however, there are several operational challenges to implementing frailty screening outside the confines of geriatric medicine. Electronic frailty indices (eFIs) based on the theory of deficit accumulation, derived from routine data housed in the electronic health record, have emerged as a rapid, feasible and valid approach to screen for frailty at scale. The goal of this paper is to describe the early experience of three diverse groups in developing, implementing and adopting eFIs (The English National Health Service, US Department of Veterans Affairs and Atrium Health-Wake Forest Baptist). These groups span different countries and organisational complexity, using eFIs for both research and clinical care, and represent different levels of progress with clinical implementation. Using an implementation science framework, we describe common elements of successful implementation in these settings and set an agenda for future research and expansion of eFI-informed initiatives.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10903644PMC
http://dx.doi.org/10.1093/ageing/afae025DOI Listing

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