Empirical methods in studying the effect of pharmaceutical policies

doi:10.5246/jcps.2018.07.052

Abstract

Abstract:

Healthcare policies are often evaluated using empirical analysis methods. In this study, we summarized the hypothesis test, segmented regression analysis of interrupted time series, autoregressive integrated moving average model, difference in difference model, pooled regression model, fixed effect model, random effect model, propensity score matching method, cost-benefit analysis, and cost-effectiveness analysis. We also established a flow chart to demonstrate the process of selection of empirical analysis methods based on the purpose of policy evaluation, whether there is a control group, the type of data, and whether the data is linear.

Key words: Pharmaceutical policy, Policy evaluation, Empirical methods

CLC Number:

Supporting:

Jing Chen, Ting Yin, Bin Jiang. Empirical methods in studying the effect of pharmaceutical policies[J]. Journal of Chinese Pharmaceutical Sciences, 2018, 27(7): 510-516.

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