Observed intra-cluster correlation coefficients in a cluster survey sample of patient encounters in general practice in Australia

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dc.contributor.author Knox, Stephanie en_US
dc.contributor.author Chondros, Patty en_US
dc.contributor.editor en_US
dc.date.accessioned 2010-05-28T09:50:54Z
dc.date.available 2010-05-28T09:50:54Z
dc.date.issued 2004 en_US
dc.identifier 2007003603 en_US
dc.identifier.citation Knox Stephanie and Chondros Patty 2004, 'Observed intra-cluster correlation coefficients in a cluster survey sample of patient encounters in general practice in Australia', BioMed Central Ltd., vol. 4:30, pp. 1-8. en_US
dc.identifier.issn 1471-2288 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/9635
dc.description.abstract Background Cluster sample study designs are cost effective, however cluster samples violate the simple random sample assumption of independence of observations. Failure to account for the intra-cluster correlation of observations when sampling through clusters may lead to an under-powered study. Researchers therefore need estimates of intra-cluster correlation for a range of outcomes to calculate sample size. We report intra-cluster correlation coefficients observed within a large-scale cross-sectional study of general practice in Australia, where the general practitioner (GP) was the primary sampling unit and the patient encounter was the unit of inference. Methods Each year the Bettering the Evaluation and Care of Health (BEACH) study recruits a random sample of approximately 1,000 GPs across Australia. Each GP completes details of 100 consecutive patient encounters. Intra-cluster correlation coefficients were estimated for patient demographics, morbidity managed and treatments received. Intra-cluster correlation coefficients were estimated for descriptive outcomes and for associations between outcomes and predictors and were compared across two independent samples of GPs drawn three years apart. Results Between April 1999 and March 2000, a random sample of 1,047 Australian general practitioners recorded details of 104,700 patient encounters. Intra-cluster correlation coefficients for patient demographics ranged from 0.055 for patient sex to 0.451 for language spoken at home. Intra-cluster correlations for morbidity variables ranged from 0.005 for the management of eye problems to 0.059 for management of psychological problems. Intra-cluster correlation for the association between two variables was smaller than the descriptive intra-cluster correlation of each variable. When compared with the April 2002 to March 2003 sample (1,008 GPs) the estimated intra-cluster correlation coefficients were found to be consistent across samples. en_US
dc.language en_US
dc.publisher BioMed Central Ltd. en_US
dc.title Observed intra-cluster correlation coefficients in a cluster survey sample of patient encounters in general practice in Australia en_US
dc.parent BMC Medical Research Methodology en_US
dc.journal.volume 4:30 en_US
dc.journal.number en_US
dc.publocation United Kingdom en_US
dc.identifier.startpage 1 en_US
dc.identifier.endpage 8 en_US
dc.cauo.name BUS.Centre for Health Economics Research and Evaluation en_US
dc.conference Verified OK en_US
dc.for 111799 en_US
dc.personcode 998486 en_US
dc.personcode 0000045716 en_US
dc.percentage 100 en_US
dc.classification.name Public Health and Health Services not elsewhere classified en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords en_US


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