ObjectivesTo systematically review the health utility scores and disability weights of liver cancer and related diseases in China.MethodsPubMed, EMbase, The Cochrane Library, Web of Science, CNKI, WanFang Data, CBM and VIP databases were electronically searched to collect the studies of health utility scores and disability weights of liver cancer and related diseases in China from inception to November, 2017. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies, then, meta-analysis was performed by using Stata 12.0 software.ResultsA total of 9 studies were included which covered 10 related diseases, among which chronic hepatitis B, compensated cirrhosis, decompensated cirrhosis and liver cancer were the mostly reported. The overall quality was adequate, and EQ-5D was the most common tool in these studies. Results of meta-analysis showed that healthy utility scores of the four common diseases were 0.789 (0.735, 0.843), 0.734 (0.693, 0.776), 0.647 (0.627, 0.666) and 0.636 (0.508, 0.765), respectively. Measures from EQ-5D were 0.825 (0.762, 0.868), 0.761 (0.731, 0.791), 0.643 (0.620, 0.666) and 0.620 (0.473, 0.766), respectively. In addition, the corresponding median (range) utility scores of the four diseases were found to be 0.758 (0.520–0.950), 0.716 (0.570–0.900), 0.538 (0.260–0.662) and 0.541(0.310–0.720). Only one disability weight study was concluded (0.360–0.900 reported for liver cancer).ConclusionIn Chinese population, current evidences on health utility of liver cancer and related diseases are limited, particularly data on disability weights. Utility values from meta-analysis seems more optimistic and centralized than those from descriptive analysis. Different survey tools yield varying outcomes, and attentions should be addressed to their application. The decrease of heath utility scores with the severity of liver disease suggests that early prevention, early diagnosis and treatment can save more years of life with enhanced quality.
ObjectivesTo systematically review approaches to derive disability weights (DWs) based on EQ-5D instrument.MethodsPubMed, EMbase, Web of Science, CNKI and WanFang Data databases were electronically searched to collect studies on the approaches to derive disability weights based on EQ-5D from inception to June 1st, 2019. Two reviewers independently screened literature, extracted the basic information and evaluated risk of bias of included studies. Then, systematic review on approaches to derive DWs based on EQ-5D instrument was performed.ResultsA total of 18 studies were included, which were published between 2003 and 2018. The included studies involved a variety of diseases, mostly focusing on quality of life and the burden of disease. The approaches to derive DWs based on EQ-5D health instrument were as follows: DWs=health utility scoreNormal or Control−health utility scoreDisease (7 studies), DWs=1−VAS score/100 (6 studies), DWs=1−health utility scoreDisease (3 studies), linear regression model (1 study), and mapping (1 study).ConclusionsAmong all the included studies using EQ-5D-based disability weight measurement methods involves a variety of diseases, with relatively low comparability. More methodological studies are from abroad. Among all the applied approaches, DWs equally to health utility scoreNormal or Control minus health utility scoreDisease is the most commonly used.