Research on merging methods and influencing factors of health state disutility values estimation ：taking diarrhea caused by antitumor drugs as an example / 中国药房

ABSTRACT

OBJECTIVE To explore the merging methods and influencing factors of health state disutility values estimation. METHODS Retrieved from 6 Chinese and English databases such as CNKI and PubMed ，the literatures about disutility values of diarrhea caused by antitumor drugs were collected from the inception to July 2021. After 2 researchers independently screened the literature，extracted the data ，assessed the quality ，the Meta-analysis and regression analysis were conducted using Stata 16.0 software. RESULTS Fifteen literatures were included. The results of Meta-analysis showed that diarrhea caused by antitumor drugs had a significant impact on health utility [ MD＝－0.26，95％CI（－0.30，－0.22），P＜0.05]. The results of subgroup analysis showed that the disutility values of the 3 types of negative value ，non-negative value changed into negative value ，and non-negative value combined with basic state changed into to negative value were MD ＝－0.14，95％CI（－0.19，－0.09）；MD＝－0.46，95％CI （－0.56，－0.36）；MD＝－0.12，95％CI（－0.20，－0.05），respectively. Meta regression results showed that the year of publication ， survey country/region ，severity of adverse events ，basic state settings ，utility estimation tools ，utility report types ，and utility statistical methods significantly affected the value of diarrhea disutility （P＜0.05）. CONCLUSIONS Disutility values for treatment-related symptoms or complications should be fully considered when inputting the parameters to the economic evaluation model. In the study or application of disutility values ，the types of utility reports should be distiguished ，and the core influencing factors such as the investigation country or region ，the severity of symptoms or complications ，and whether the basic state is set should be focus on.