Objective To develop a questionnaire to measure the quality of death in the Chinese socio-cultural context and to provide a scientific tool for measuring the quality of death. Methods Guided by the localized concept of good death, the initial dimension structure and item pool of the Good Death Scale for Patients in China (GDS-PCN) were developed through literature review and qualitative interviews. A testing version of the GDS-PCN was formed after the Delphi survey and pilot survey. A conve-nience sample of 742 family members of the bereaved patients were invited to test the psychometric characteristics of the GDS-PCN. Results Seven common factors were identified by exploratory factor analysis. The cumulative variance contribution rate was 63.03%. A first-order model was constructed using confirmatory factor analysis (χ2/df=2.353，RMSEA=0.056，IFI=0.900，GFI=0.847，NFI=0.838，CFI=0.899). The Cronbach′s α coefficient of the GDS-PCN was 0.937. Except for the dimension of physical wellbeing［Cronbach′s α =0.412，composition reliability=0.443,average variance extracted (AVE) value=0.215］, the other 6 dimensions enjoyed good reliability (Cronbach′s α coefficient ranging from 0.738 to 0.919, composition reliability coefficient from 0.757 to 0.912, and AVE values from 0.445 to 0.635). Conclusion In general, the reliability and validity of the GDS-PCN was good. It could be used to evaluate the quality of death of patients in China. Yet, future effort is needed to develop the dimension of the physical wellbeing.