期刊
JOURNAL OF CLINICAL PHARMACY AND THERAPEUTICS
卷 27, 期 4, 页码 299-309出版社
BLACKWELL PUBLISHING LTD
DOI: 10.1046/j.1365-2710.2002.00430.x
关键词
health policy evaluation; interrupted time series design; longitudinal analysis; medication use research; quasi-experimental design; segmented regression analysis
Interrupted time series design is the strongest, quasi-experimental approach for evaluating longitudinal effects of interventions. Segmented regression analysis is a powerful statistical method for estimating intervention effects in interrupted time series studies. In this paper, we show how segmented regression analysis can be used to evaluate policy and educational interventions intended to improve the quality of medication use and/or contain costs.
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