Diagnostic test accuracy of self‐reported screening instruments in identifying frailty in community‐dwelling older people: A systematic review
Bibliographic record
Abstract
Against a backdrop of aging populations worldwide, it has become increasingly important to identify frailty screening instruments suitable for community settings. Self-reported and/or administered instruments might offer significant simplicity and efficiency advantages over clinician-administered instruments, but their comparative diagnostic test accuracy has yet to be systematically examined. The aim of this systematic review was to determine the diagnostic test accuracy of self-reported and/or self-administered frailty screening instruments against two widely accepted frailty reference standards (the frailty phenotype and the Frailty Index) within community-dwelling older adult populations. We carried out a systematic search of the Embase, CINAHL, MEDLINE, PubMed, Web of Science, PEDro, PsycINFO, ProQuest Dissertations, Open Grey and GreyLit databases up to April 2017 (with an updated search carried out over May-July 2018) to identify studies reporting comparison of self-reported and/or self-administered frailty screening instruments against an appropriate reference standard, with a minimum sensitivity threshold of 80% and specificity threshold of 60%. We identified 24 studies that met our selection criteria. Four self-reported screening instruments across three studies met minimum sensitivity and specificity thresholds. However, in most cases, study design considerations limited the reliability and generalizability of the results. Additionally, meta-analysis was not carried out, because no more than three studies were available for any of the unique combinations of index tests and reference standards. Although the present study has shown that a number of self-reported frailty screening instruments reported sensitivity and specificity within a desirable range for community application, additional diagnostic test accuracy studies are required. Geriatr Gerontol Int 2020; 20: 14-24.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.021 | 0.124 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.012 |
| Bibliometrics | 0.012 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".