Stenberg Karin, Lauer Jeremy A, Gkountouras Georgios, Fitzpatrick Christopher, Stanciole Anderson
1Department of Health Systems Governance and Financing, World Health Organization, Geneva, Switzerland.
2School of Pharmacy, University of Nottingham, Nottingham, UK.
Cost Eff Resour Alloc. 2018 Mar 19;16:11. doi: 10.1186/s12962-018-0095-x. eCollection 2018.
Policy makers require information on costs related to inpatient and outpatient health services to inform resource allocation decisions.
Country data sets were gathered in 2008-2010 through literature reviews, website searches and a public call for cost data. Multivariate regression analysis was used to explore the determinants of variability in unit costs using data from 30 countries. Two models were designed, with the inpatient and outpatient models drawing upon 3407 and 9028 observations respectively. Cost estimates are produced at country and regional level, with 95% confidence intervals.
Inpatient costs across 30 countries are significantly associated with the type of hospital, ownership, as well as bed occupancy rate, average length of stay, and total number of inpatient admissions. Changes in outpatient costs are significantly associated with location, facility ownership and the level of care, as well as to the number of outpatient visits and visits per provider per day.
These updated WHO-CHOICE service delivery unit costs are statistically robust and may be used by analysts as inputs for economic analysis. The models can predict country-specific unit costs at different capacity levels and in different settings.
政策制定者需要有关住院和门诊医疗服务成本的信息,以便为资源分配决策提供依据。
2008 - 2010年期间,通过文献综述、网站搜索以及公开征集成本数据收集了各国数据集。使用来自30个国家的数据,通过多元回归分析来探究单位成本变异性的决定因素。设计了两个模型,住院模型和门诊模型分别利用了3407个和9028个观测值。在国家和区域层面生成了成本估计值,并给出了95%的置信区间。
30个国家的住院成本与医院类型、所有权以及床位占用率、平均住院天数和住院总人次显著相关。门诊成本的变化与地点、机构所有权、护理水平以及门诊人次和每位提供者每天的就诊次数显著相关。
这些更新后的世界卫生组织 - 选择服务提供单位成本在统计上是可靠的,分析师可将其用作经济分析的输入。这些模型可以预测不同能力水平和不同环境下的特定国家单位成本。