- 著者
- Xiuting Mo Ruoyan Gai Tobe Yoshimitsu Takahashi Naoko Arata Tippawan Liabsuetrakul Takeo Nakayama Rintaro Mori
- 出版者
- Japan Epidemiological Association
- 雑誌
- Journal of Epidemiology (ISSN:09175040)
- 巻号頁・発行日
- pp.JE20190338, (Released:2020-05-23)
- 参考文献数
- 55
- 被引用文献数
- 14
Background: This study aims to find evidence of the cost-effectiveness of gestational diabetes mellitus (GDM) screening and assess the quality of current economic evaluations which have shown different conclusions with a variation in screening methods, data sources, outcome indicators, and implementation in diverse organizational contexts.Search Strategy: Embase, Medline, Web of Science, HTA, and NHSEED databases were searched till June 2019.Selection Criteria: Studies on economic evaluation reporting both cost and health outcomes of GDM screening programs in English language.Data Collection and Analysis: The quality of the studies was assessed using Drummond’s checklist. The general characteristics, main assumptions, and results of the economic evaluations were summarized.Main Results: Our search yielded ten eligible economic evaluations with different screening strategies comparison in different settings and perspectives. The selected papers scored 81% (68%–97%) on the items in Drummond’s checklist on average. In general, a screening program is cost-effective (C-E) or even dominant over no screening. The 1-step screening, with more cases detected, is more likely to be C-E than the 2-step screening. Universal screening is more likely to be C-E than screening targeting the high-risk population. Parameters affecting cost-effectiveness include: diagnosis criteria, epidemiological characteristics of the population, efficacy of screening and treatment, and costs.Conclusions: Most studies found GDM screening to be cost-effective, though uncertainties remain due to many factors. The quality assessment identified weaknesses in the economic evaluations in terms of integrating existing data, measuring costs and consequences, analyzing perspectives, and adjusting for uncertainties.