Randomization at the level of primary care practice: use of pre‐intervention data and random effects models

Richard M. Nixon, Stephen W. Duffy, Guy Fender, Nicholas Day, Teresa C. Prevost
In: Statistics in Medicine · 2001 · vol. 20(12) , pp. 1727–1738 · doi:10.1002/sim.792 · PMID:11406837 · W2063603668
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This study demonstrates a random effects logistic regression model using pre-intervention data to calculate the effectiveness of a menorrhagia education package randomized at the primary care practice level.

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Abstract

The Anglia menorrhagia education study tests the effectiveness of an education package for the treatment of menorrhagia given to doctors at a primary care level. General practices were randomized to receive or not receive the package. It is hoped that this intervention will reduce the proportion of women suffering from menorrhagia that are referred to hospital. Data are available on the treatment and referral of women in the practices in the education and control groups, both pre- and post-intervention. We define and demonstrate a random effects logistic regression model that includes pre-intervention data for calculating the effectiveness of the intervention.

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