Publications by authors named "Chunzhou Mu"

We investigate how utilization of primary care, specialist care, and emergency department (ED) care (and the mix across the three) changes in response to a change in health need. We determine whether any changes in utilization are impacted by socio-economic status. The use of a unique Australian data set that consists of a large survey linked to multiple years of detailed administrative records enables us to better control for individual heterogeneity and allows us to exploit changes in health that are related to the onset of two health shocks: a new diagnosis of diabetes and heart disease.

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This study examines the association between primary care investment and performance, in 34 OECD countries for 2005-15. Specifically, we explore whether an increasing investment in primary care is associated with improved performance, and whether particular characteristics of organisation and delivery are associated with a better return on primary care investment. We take advantage of new data sources that provide rich information on health and health systems as well as economic and distributional characteristics.

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Background: Regional variation in the use of health care services is widespread. Identifying and understanding the sources of variation and how much variation is unexplained can inform policy interventions to improve the efficiency and equity of health care delivery.

Methods: We examined the regional variation in the use of general practitioners (GPs) using data from the Social Health Atlas of Australia by Statistical Local Area (SLAs).

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This study shows that, in an unregulated fee-setting environment, specialist physicians practise price discrimination on the basis of their patients' income status. Our results are consistent with profit maximisation behaviour by specialists. These findings are based on a large population survey that is linked to administrative medical claims records.

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The unbalanced distribution of general practitioners (GPs) across geographic areas has been acknowledged as a problem in many countries around the world. Quantitative information regarding GPs' location decision over their lifecycle is essential in developing effective initiatives to address the unbalanced distribution and retention of GPs. This paper describes the age profile of GPs' location decision and relates it to individual characteristics.

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