Profiling hospital utilization in a mixed public–private system

Megan Gu, Meliyanni Johar*

*Corresponding author for this work

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

While there is an extensive body of literature on the demand for hospital services, little is known about the interaction between public and private hospitals in a mixed system. In this article, we (1) apply latent class analysis to identify distinct subgroups of patients who use the hospital market differently, (2) characterize each patient type by their personal characteristics and (3) link the patient type to future hospital admissions. We apply our analysis to individual-level longitudinal patient data from Australia, focusing on three popular procedures that are performed in both public and private hospitals. We find 4–5 patient types. The most common types use either a public or a private hospital almost exclusively and absorb a moderate level of hospital resources. The severe types represent 13–17% of patients. The type which uses both sectors makes up 10–20% and tends to have private health insurance coverage. The patient types are predictive of prospective utilizations as we find that patients tend to be admitted to the sector they have used in the past. By revealing how patients use coexisting public and private hospitals, our results have direct implications on health resource financing and allocations.

Original languageEnglish
Pages (from-to)361-375
Number of pages15
JournalApplied Economics
Volume49
Issue number4
DOIs
Publication statusPublished - 20 Jan 2017
Externally publishedYes

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Keywords

  • Hospital utilization
  • latent class analysis
  • market segmentation
  • public and private hospital

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