Microcosting Quantity Data Collection Methods
Microcosting Quantity Data Collection Methods
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DOI：
10.1097/mlr.0b013e31819bc064
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发表时间：
2009-07-01
期刊：
影响因子：
3
通讯作者：
Frick, Kevin D.
中科院分区：
文献类型：
--
作者：
Frick, Kevin D.
背景：微成本计算研究收集关于所用资源及其价值的详细数据。这样的研究是有用的，以估计新技术或新的社区为基础的干预措施的成本，在包括非市场商品的研究中产生估计，并为研究在程序内的成本variation.Objectives：本文的目的是（1）描述基本的微观成本计算方法，侧重于数量数据收集;以及（2）提出一个研究议程，以改进微成本计算方法和解释。研究设计：已发表的文献中的例子被用来说明收集数据的方法步骤（主要是数量数据）进行微成本研究。在文献中举例说明的数量数据收集方法包括使用（1）单个设施的管理数据库，（2）保险公司管理数据，（3）在多个设置中应用的表格，（4）专家小组，（5）对一种或多种类型的提供者的调查或访谈，（6）查看患者图表，（7）直接观察，（8）个人数字助理，（9）程序操作日志，以及（10）日记数据。如果开展研究，比较不同数据收集方法的有效性和成本，如果对迄今为止所做的研究进行严格审查，未来的微额成本计算研究可能会有所改进;以及是否将所述前两个步骤的结果结合起来用于制定指南，以解决常见的局限性、关键判断点和决策，从而减少局限性并提高研究质量。
Background: Microcosting studies collect detailed data on resources used and the value of those resources. Such studies are useful for estimating the cost of new technologies or new community-based interventions, for producing estimates in studies that include nonmarket goods, and for studying within-procedure cost variation.Objectives: The objectives of this article were to (1) describe basic microcosting methods focusing on quantity data collection; and (2) suggest a research agenda to improve methods in and the interpretation of microcosting.Research Design: Examples in the published literature were used to illustrate steps in the methods of gathering data (primarily quantity data) for a microcosting study.Results: Quantity data collection methods that were illustrated in the literature include the use of (1) administrative databases at single facilities, (2) insurer administrative data, (3) forms applied across multiple settings, (4) an expert panel, (5) surveys or interviews of one or more types of providers; (6) review of patient charts, (7) direct observation, (8) personal digital assistants, (9) program operation logs, and (10) diary data.Conclusions: Future microcosting studies are likely to improve if research is done to compare the validity and cost of different data collection methods; if a critical review is conducted of studies done to date; and if the combination of the results of the first 2 steps described are used to develop guidelines that address common limitations, critical judgment points, and decisions that can reduce limitations and improve the quality of studies.