ObjectiveTo develop a survey questionnaire on preferences and values regarding perineal injury prevention measures during pregnancy and conduct reliability and validity testing. MethodsCombining literature review, qualitative interviews, and expert consultations, we summarized key elements of perineal injury prevention during pregnancy and synthesized the best evidence. Through multiple discussions within the core working group, a survey questionnaire on preferences and values regarding perineal injury prevention measures during pregnancy was formulated. Using convenience sampling, pregnant women were recruited, and a pre-survey was conducted using the questionnaire. Pre-survey results were analyzed using item analysis and reliability and validity testing methods to validate and refine the questionnaire. ResultsThe questionnaire was compiled based on the theory of evidence-based decision-making. The initial version of the questionnaire was developed by combining systematic evaluation, network meta-analysis, and semi-structured interviews. The questionnaire was modified and improved through expert consultation, group discussion, and pre-investigation, which ensured that the questionnaire had good reliability, validity, and practicability. The Cronbach's α coefficient was 0.87, a split-half reliability was 0.71, and a content validity index was 0.97 of the survey questionnaire. ConclusionThe present version of the perineal injury preventive measures preference and values questionnaire has good reliability, validity, and practicability. It can serve as a valuable tool for investigating preferences and values related to perineal injury prevention during pregnancy.
The discrete choice experiment (DCE) is a stated preference analysis method to evaluate the impact of multiple factors on individual choice, which has been explored by scholars around the world for health utility measurement. This method is considered to reduce the cognitive burden of traditional utility measurement methods and has high development potential. Through examining empirical studies conducted domestically and internationally that employ DCE for measuring health utility, and drawing on methodological guidelines for constructing DCE models, this article provides an overview of the methodological background of DCE, the practical process used for measuring health utility, and discusses relevant challenges in its application.