Dynamic analysis of interhospital collaboration and competition: Empirical evidence from an Italian regional health system

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• 作者：Daniele Mascia^a ; ^{dmascia@rm.unicatt.it} ; Fausto Di Vincenzo^b ; ^{f.divincenzo@unich.it} ; Americo Cicchetti^c ; ^{acicchetti@rm.unicatt.it}
• 关键词：Competition ; Collaboration ; Hospitals ; Social network analysis ; Organizational theory ; Italy
• 刊名：Health Policy
• 出版年：2012
• 期刊代码：110_01688510
• 类别：med
• 出版时间：May, 2012
• 卷：105
• 期：2-3
• 页码：273-281
• 文件大小：637 K

摘要

Background

Policymakers stimulate competition in universalistic health-care systems while encouraging the formation of service provision networks among hospital organizations. This article addresses a gap in the extant literature by empirically analyzing simultaneous collaboration and competition between hospitals within the Italian National Health Service, where important procompetition reforms have been implemented.

Purpose

To explore how rising competition between hospitals relates to their propensity to collaborate with other local providers.

Methods

Longitudinal data on interhospital collaboration and competition collected in an Italian region from 2003 to 2007 are analyzed. Social network analysis techniques are applied to study the structure and dynamics of interhospital collaboration. Negative binomial regressions are employed to explore how interhospital competition relates to the collaborative network over time.

Results

Competition among providers does not hinder interhospital collaboration. Collaboration is primarily local, with resource complementarity and differentials in the volume of activity and hospital performance explaining the propensity to collaborate.

Conclusions

Formation of collaborative networks among hospitals is not hampered by reforms aimed at fostering market forces. Because procompetition reforms elicit peculiar forms of managed competition in universalistic health systems, studies are needed to clarify whether the positive association between interhospital competition and collaboration can be generalized to other health-care settings.