Abstract
This article produces a system-level composite indicator on population health in publicly provided primary health care. We first summarize information from various indicators of care by principal component analysis (PCA). We then regress the costs of care against these indicators to evaluate whether they are related. The existing health status indicator provides a point of comparison. Our results suggest that PCA can be used to extract information efficiently and thus to reduce the dimensionality of data. Furthermore, the use of the existing health status indicator to estimate cost-efficiency leads to invalid inference on overall efficiency, while the use of composite indicator significantly reduces the bias.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
