Open AccessIntraclass correlation coefficients from three cluster randomised controlled trials in primary and residential health care
Author(s) -
Elley C. Raina,
Kerse Ngaire,
Chondros Patty,
Robinson Elizabeth
Publication year - 2005
Publication title -
australian and new zealand journal of public health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.946
H-Index - 76
eISSN - 1753-6405
pISSN - 1326-0200
DOI - 10.1111/j.1467-842x.2005.tb00227.x
Subject(s) - intraclass correlation , medicine , confidence interval , sample size determination , standard error , random effects model , cluster randomised controlled trial , clinical trial , multilevel model , cluster (spacecraft) , quality of life (healthcare) , meta analysis , statistics , randomized controlled trial , gerontology , physical therapy , psychometrics , clinical psychology , nursing , mathematics , surgery , pathology , computer science , programming language
Objective: This paper provides intraclass correlation coefficients (ICCs) for estimation of sample size inflation required in future cluster randomised trials in primary or residential care. Methods: Three cluster randomised trials were conducted among middle‐aged and older adults in primary care and residential care in Australia and New Zealand between 1995 and 2002. Baseline means or proportions, mean change, and ICCs with their standard errors and 95% confidence intervals are reported for outcome variables used in the three studies. The ICCs were estimated from a one‐way random effects model using the analysis of variance method. Results: ICCs for quality of life and psychological variables in the primary care studies were low (below 0.018). ICCs for clinical and physical activity variables ranged from 0 to 0.08. ICCs for health and functional status in residential care for the elderly were high, ranging from 0.025 to 0.514. Conclusions: The magnitude of the intraclass correlation varies with the venue of the trial, the outcome variables used, and the expected effect of the intervention. However, the intraclass correlations provided will be useful for more appropriate planning of residential and primary carebased trials in the future.