Patterns of intra-cluster correlation from primary care research to inform study design and analysis.
OBJECTIVE
To provide information concerning the magnitude of the intraclass correlation coefficient (ICC) for cluster-based studies set in primary care.


METHODS
Reanalysis of data from 31 cluster-based studies in primary care to estimate intraclass correlation coefficients from random effects models using maximum likelihood estimation.


RESULTS
ICCs were estimated for 1,039 variables. The median ICC was 0.010 (interquartile range [IQR] 0 to 0.032, range 0 to 0.840). After adjusting for individual- and cluster-level characteristics, the median ICC was 0.005 (IQR 0 to 0.021). A given measure showed widely varying ICC estimates in different datasets. In six datasets, the ICCs for SF-36 physical functioning scale ranged from 0.001 to 0.055 and for SF-36 general health from 0 to 0.072. In four datasets, the ICC for systolic blood pressure ranged from 0 to 0.052 and for diastolic blood pressure from 0 to 0.108.


CONCLUSIONS
The precise magnitude of between-cluster variation for a given measure can rarely be estimated in advance. Studies should be designed with reference to the overall distribution of ICCs and with attention to features that increase efficiency.
Department of Public Health Sciences, King's College London, Capital House, 42 Weston Street, London SE1 3QD, UK.
Geoffrey
G
Adams
Martin C
MC
Gulliford
Obioha C
OC
Ukoumunne
Sandra
S
Eldridge
Susan
S
Chinn
Michael J
MJ
Campbell
D016000:Cluster Analysis; D003627:Data Interpretation, Statistical; D006302:Health Services Research / Q000379:methods*; D006801:Humans; D011320:Primary Health Care / Q000379:methods*; D016032:Randomized Controlled Trials as Topic / Q000379:methods; D012107:Research Design