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Development of frailty measurement tools using administrative health data: A systematic review
Son Nghiem1, Disna Sajeewani1, Katrina Henderson2
1Centre for Applied Health Economics, Griffith University, Queensland, Australia.
Objectives:
Frailty is an increasingly common health condition and is seen more often due to the ageing population. This study reviews the evidence on the development and validation of these automated frailty measurement tools.
Design:
Six databases: PubMed, EMBASE, MEDLINE, CINAHL, Scopus, and Web of Science were electronically searched. Selected studies must have developed and validated a new frailty measurement tool using administrative health data and published results in a peer-reviewed, English-language journal. Selected studies were synthesized narratively.
Setting And Participants:
The review focused on large scale studies using administrative health data in developed countries. Participants included older people aged 65 years and above.
Measures:
The main measures of review studies include discrimination power and the prediction ability of adverse health outcomes; performance against established frailty measures; and validation records.
Results:
Five studies were selected for narrative synthesis after screening the full-text. All frailty measurement tools in the selected five studies produced strong discrimination power with C-statistics ranging from 0.61-97. Two studies were independently validated in studies by other authors or conducted in other locations; one study developed an early prediction model, and no study has been applied in practice.
Conclusions And Implications:
Automated frailty measurement tools using administrative health data are still in the early development stage with five tools developed since 2016. Selected studies have strong prediction of adverse health outcomes. Future studies should include validation and refinement of these tools in other countries and assessment of their clinical utility and capacity to inform cost-effective policy and practice.
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