Intraclass correlation coefficients for cluster randomized trials in primary care

The cholesterol education and research trial (CEART)

Donna Parker, Evangelos Evangelou, Charles B. Eaton

Research output: Contribution to journalArticle

Abstract

Cluster randomization trials are increasingly being used in primary care research. The main feature of these trials is that patients are nested within large clusters such as physician practices or communities and the intervention is applied to the cluster. This study design necessitates calculation of intraclass correlation coefficients in order to determine the required sample size. The purpose of this study is to determine intraclass correlation coefficients for a number of outcome measures at the primary care practice level. The CEART study is a randomized trial testing the effectiveness of translating ATP III guidelines into clinical practice, with primary care physician practices as the unit of randomization and patients as the unit of data collection. The intraclass correlation coefficient (ICC) was

Original languageEnglish (US)
Pages (from-to)260-267
Number of pages8
JournalContemporary Clinical Trials
Volume26
Issue number2
DOIs
StatePublished - Apr 2005
Externally publishedYes

Fingerprint

Random Allocation
Primary Health Care
Cholesterol
Education
Primary Care Physicians
Research
Sample Size
Adenosine Triphosphate
Outcome Assessment (Health Care)
Guidelines
Physicians

Keywords

  • Cluster randomized trials
  • Intraclass correlation coefficients
  • Primary care

ASJC Scopus subject areas

  • Pharmacology

Cite this

Intraclass correlation coefficients for cluster randomized trials in primary care : The cholesterol education and research trial (CEART). / Parker, Donna; Evangelou, Evangelos; Eaton, Charles B.

In: Contemporary Clinical Trials, Vol. 26, No. 2, 04.2005, p. 260-267.

Research output: Contribution to journalArticle

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