Application status of interrupted time series design in evidence translation research
In the current evidence translation research,the commonly used study designs for evaluating effects have certain limitations.Interrupted time series design,which measures changes before and after interventions at multiple time points,offers more precise effect evaluation and has gradually gained attention.This paper aims to introduce the principles of interrupted time series design and review its application in both domestic and international contexts,with the goal of promoting its wider use in evidence translation research.
interrupted time series designevidence translationeffect evaluationevidence-based nursing
NETL
NSTL
万方数据
