Segmented regression analysis of interrupted time series studies in medication use research
2002; Wiley; Volume: 27; Issue: 4 Linguagem: Inglês
10.1046/j.1365-2710.2002.00430.x
ISSN1365-2710
AutoresAnita K. Wagner, Stephen B. Soumerai, F. Zhang, Dennis Ross‐Degnan,
Tópico(s)Healthcare Policy and Management
ResumoInterrupted 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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