title: Construct Validity of Four Frailty Measures in an Older Australian Population: A Rasch Analysis.
abstract: Individuals identified as frail have been shown to be at an increased risk of adverse health outcomes. However, there is no gold standard frailty measure and frailty status can vary depending on the measure used, suggesting the measures perform differently. Construct validity can be used to assess a measure's performance. This study aimed to examine the construct validity of four frailty measures in an Australian older population using Rasch analysis. Frailty status among the 2087 participants aged 65 years and above from the Australian Longitudinal Study of Ageing (ALSA) was assessed using: frailty phenotype--FP, simplified frailty phenotype--SFP, frailty index--FI, and prognostic frailty score--PFS. Rasch analysis was used to assess the unidimensionality of the measures, which is the extent to which the underlying characteristic of frailty is assessed. The criteria for unidimensionality from principal component analysis of the residuals was when 50% or more of the raw variance was explained by the measures, and less than 5% was unexplained variance. Only FI meet the unidimensionality criteria with 74% of explained variance and 2.1% of unexplained variance. SFP did not show a unidimensional construct with 13.3% of explained variance and 47.1% of unexplained variance. FP and PFS had 39.6%, 18.1% and 46.5%, 8.7% of explained and unexplained variance, respectively. Our findings showed that FI has better construct validity than the other three measures in assessing frailty among the Australian older population.
authors.affiliation: Imaina Widagdo (PhD Candidate), Email: imaina.widagdo@mymail.unisa.edu.au, Telephone: (+61) 8 83021249.
authors.forename: I S
authors.initials: IS
authors.lastname: Widagdo
authors.forename: N
authors.initials: N
authors.lastname: Pratt
authors.forename: M
authors.initials: M
authors.lastname: Russell
authors.forename: E E
authors.initials: EE
authors.lastname: Roughead
mesh_terms: D000203:Activities of Daily Living; D000368:Aged; D000375:Aging / Q000502:physiology / Q000523:psychology; D001315:Australia / Q000453:epidemiology; D016330:Frail Elderly / Q000706:statistics & numerical data*; D015577:Geriatric Assessment / Q000379:methods / Q000706:statistics & numerical data; D006801:Humans; D008137:Longitudinal Studies; D011237:Predictive Value of Tests; D015203:Reproducibility of Results