TY - JOUR
T1 - The quality of published health economic evaluations on screening programs in China : a systematic review and quantitative appraisal
AU - Xia, Yu
AU - Lian, Dai
AU - Yang, Yi
AU - Si, Lei
AU - Ming, Jian
AU - Wei, Yan
AU - Chen, Yingyao
PY - 2022
Y1 - 2022
N2 - Background: This study seeks to assess the quality of HEEs reporting on screening programs over the last 20Â years in China, to identify potential predictors of reporting quality. Methods: We performed a literature search of HEE studies published in PubMed, Embase, CNKI, and WANFANG from 2000 to 2021. The search terms included ‘screening,’ ‘China,’ ‘CEA,’ ‘CBA,’ ‘CUA,’ and all other names for health economic evaluation. Two reviewers independently extracted data and assessed the reporting quality using CHEERS checklist. A generalized linear regression analysis was used to identify the predictors of reporting quality. Results: 133 of 1,281 identified studies was included. The reporting quality scores showed an increasing trend and the mean score was 0.56. Some items were underreported, such as study perspective, discount rate, measurement of effectiveness, analytical methods, uncertainty, heterogeneity etc. Five factors (year of publication, journal type, first author’s affiliation, economic evaluation type, specialty journals or not) predicted a higher score of reporting quality in the regression analyses (P <Â 0.05). Conclusions: Overall, the quality of HEEs on screening programs in China showed an improving trend. Given the significance of reporting quality, it is advisable to report HEE results following standard evaluation guidelines to improve their transparency.
AB - Background: This study seeks to assess the quality of HEEs reporting on screening programs over the last 20Â years in China, to identify potential predictors of reporting quality. Methods: We performed a literature search of HEE studies published in PubMed, Embase, CNKI, and WANFANG from 2000 to 2021. The search terms included ‘screening,’ ‘China,’ ‘CEA,’ ‘CBA,’ ‘CUA,’ and all other names for health economic evaluation. Two reviewers independently extracted data and assessed the reporting quality using CHEERS checklist. A generalized linear regression analysis was used to identify the predictors of reporting quality. Results: 133 of 1,281 identified studies was included. The reporting quality scores showed an increasing trend and the mean score was 0.56. Some items were underreported, such as study perspective, discount rate, measurement of effectiveness, analytical methods, uncertainty, heterogeneity etc. Five factors (year of publication, journal type, first author’s affiliation, economic evaluation type, specialty journals or not) predicted a higher score of reporting quality in the regression analyses (P <Â 0.05). Conclusions: Overall, the quality of HEEs on screening programs in China showed an improving trend. Given the significance of reporting quality, it is advisable to report HEE results following standard evaluation guidelines to improve their transparency.
UR - https://hdl.handle.net/1959.7/uws:69482
U2 - 10.1080/14737167.2022.2131542
DO - 10.1080/14737167.2022.2131542
M3 - Article
SN - 1473-7167
VL - 22
SP - 1277
EP - 1283
JO - Expert Review of Pharmacoeconomics and Outcomes Research
JF - Expert Review of Pharmacoeconomics and Outcomes Research
IS - 8
ER -