ObjectivesTo analyze the average daily medical expenditures for primary liver cancer in China from 2002 to 2011.MethodsThis study employed retrospective survey on multiple centers from 12 provinces and cities in China from 2002 to 2011, based on the continuous data from the Cancer Screening Program in the Urban China Project. The average daily medical expenditures of primary liver cancer patients and influencing factors were analyzed.ResultsA total of 11 045 liver cancer patients from 12 provinces and cities were included, with an average age of 55 and an average duration of hospitalization of 16.76 days. The average daily medical expenditures of liver cancer patients during the 10 years was 1 251 yuan (95%CI 1 236 to 1 266). The average daily medical expenditures was significantly different in regions (1 356 yuan in the east region, 1 209 yuan in the middle region and 1 068 yuan in the west region), types of hospital (1 341 yuan in general hospitals, 1 213 yuan in specialized hospitals) and hospital levels (1 293 yuan in 3A grade hospital, 805 yuan in non-3A grade hospital) (P<0.05). The average daily medical expenditures were 1 253 yuan for stage Ⅰ, 1 169 yuan for stage Ⅱ, 1 167 yuan for stageⅢ and 1 092 yuan for stage Ⅳ (P<0.05). From 2002 to 2011, the average daily medical expenditures of hospitalization increased from 1 079 yuan (95%CI 1 021 to 1 136) to 1 549 yuan (95%CI 1 486 to 1 613), with an average growth rate of 3.69%. Since 2007, a continuous growth was observed. Subgroup analysis suggested there were obvious differences in growth patterns between different regions and hospitals, as well as differences between various treatments.ConclusionsThe average daily medical expenditures of liver cancer in China had been increasing from 2002 to 2011 and there were significant differences between various regions and hospital levels. Combined with data on the change of duration of hospitalization, it can provide reference for the economic evaluation of the nation’s prevention and treatment policies for liver cancer.
ObjectiveTo systematically review the status of economic evaluation of liver cancer screening in China, so as to provide reference for further studies.MethodsPubMed, EMbase, The Cochrane Library, Web of Science, CNKI, WanFang Data, CBM and VIP databases were searched to collect economic evaluation studies of liver cancer screening in China from inception to December, 2017. Two reviewers independently screened literature, extracted data and conducted descriptive analysis of basic characteristics, methods of economic evaluation and main results as well as quality and uniformity of reporting.ResultsA total of 5 studies were included. Among them, the starting age of screening were found to be 35 to 45 years old; α-fetoprotein (AFP) testing and ultrasound examination combined procedure and screening interval of every 6 months were mostly evaluated. The quality of the 5 studies was satisfactory, and the uniformity of reporting was relatively acceptable, with a median score of 78% (range: 60% ~ 78%). Two population-based studies reported cost per liver cancer detected (44 thousand and 575 thousand yuan). Three studies reported cost-effectiveness ratio(CER) based on life year saved (LYS) and quality adjusted life year (QALY). Among these results, only 1 study from mainland China reported CER based on LYS (1 775 yuan), and the calculated ratio of CER to local GDP per capita was estimated as 0.1, while 2 studies from Taiwan province reported 4 CERs, and the ratios of CER to local GDP per capita ranged from 1.0 to 2.2.ConclusionsInformation from liver cancer endemic areas such as Taiwan province indicates promising cost-effectiveness to conduct liver cancer screening in local general population, while data from mainland suggests that conducting liver cancer screening combining AFP and ultrasound in high-risk population will be cost-effective, however only supported by 1 regional study. This needs to be verified by further economic evaluations based on randomized controlled trials or cohort studies as well as health economic evaluations.