OBJECTIVES: Good quality health economic (HE) analysis could be an important tool in guiding (cost) efficiency in health care development in China. To review HE analyses from China and assessing their quality using a standardised questionnaire. METHODS:  Search of MEDLINE and EMBASE (1964-2008) using key words: China, cost-utility analysis (CUA), cost-effectiveness analysis (CEA), cost-minimisation analysis (CMA), cost-benefit analysis (CBA), and cost analysis (CA). Included were original HE evaluations examining a (medical) treatment/programme in a Chinese setting (including Hong Kong and Taiwan) describing costs and/or consequences in English or Chinese language. Quality was independently assessed by 4 raters using a 13 items checklist derived from previously published HE assessments. Obtainable scores were 0 (“Incorrect”), 1 (“Not Reported”), 2 (“Doubtful”), 3 (“Acceptable”), 4 (“Correct”) or N/A if not applicable. Post-hoc analyses were carried out to determine a time trend in quality or whether the observed differences in quality scores between languages existed. RESULTS: 36 articles were included for assessment: 17 CEAs, 7 CBAs, 7 CUAs, and 5 CAs. No article used CMA. Majority of the evaluations was conducted in mainland China (64%), 31% in Hong Kong, and 5% in Taiwan. Mean quality score of all articles was ‘Acceptable’ (mean=3.1; SD=0.58) ranging from 2.0-4.0.  Post hoc analyses demonstrated that English publications had a significant higher (; p<0.0005, Mann-Whitney U test) quality (mean=3.5; SD=0.45) compared to Chinese (mean=2.8; SD=0.46). No significant time trend existed. CONCLUSIONS: HE analyses from China were considered ‘Acceptable’ and their quality was similar to previous assessments. Post-hoc analysis suggested a significant difference between analyses published in English compared to Chinese. This study’s major limitation is that low quality scores may be caused by poor reporting rather than poor research. Further research is needed to determine the underlying reasons of the quality and examine the impact of analyses on decision-making.