Intended Conservative Management Versus Caesarean Hysterectomy for Known or Suspected Placenta Accreta Spectrum: A Cost-Effectiveness Analysis

针对已知或疑似胎盘植入谱系疾病,保守治疗与剖宫产子宫切除术的成本效益分析

阅读:1

Abstract

OBJECTIVE: We examined the cost-effectiveness of conservative management (CM) compared to planned caesarean hysterectomy (CH) for placenta accreta spectrum (PAS). DESIGN: A cost-effectiveness analysis in a theoretical cohort of patients. SETTING: A decision analytic model. POPULATION: A theoretical cohort of 1000 pregnant patients with PAS greater than 20 weeks gestation. METHODS: In base case analysis, we assumed that between 20% and 40% of individuals would be eligible for CM. Model inputs were derived from the literature. Analysis was conducted from a healthcare system perspective with a 1 year analytic horizon. Outcomes included hysterectomy, surgical site infection (SSI), length of hospitalisation, intensive care unit (ICU) admission and death. An incremental cost-effectiveness ratio (ICER) of $50 000 per quality-adjusted life year (QALY) defined cost-effectiveness. Sensitivity analyses were performed. MAIN OUTCOME MEASURES: The cost gained per life year and per QALY. RESULTS: For base case estimates, CM was the cost-saving strategy with an ICER of $9330.51 USD. Compared to CH, CM resulted in 905 fewer hysterectomies, 80 fewer instances of SSI and five fewer deaths. CM resulted in 149 more admissions with length of stay > 5 days and 25 more ICU admissions. In probabilistic sensitivity analysis, CM was the cost-effective strategy in 71% of runs and the dominant strategy in 42% of runs. CONCLUSIONS: CM was the cost-effective strategy for the management of PAS in greater than 70% of iterations of our model. Modelling demonstrated significant uncertainty in the comparative effectiveness of the two strategies, highlighting the need for prospective research evaluating the effectiveness of CM.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。