2016
DOI: 10.1080/21681376.2016.1209980
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A comparison between two health care delivery systems using a spatial competition model approach

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Cited by 3 publications
(5 citation statements)
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“…We have a growing body of more technical regional science work in RSRS (e.g., Nishida & Yoshida, 2016) and we are eager to publish more.…”
Section: A Renewed Call For Papersmentioning
confidence: 99%
“…We have a growing body of more technical regional science work in RSRS (e.g., Nishida & Yoshida, 2016) and we are eager to publish more.…”
Section: A Renewed Call For Papersmentioning
confidence: 99%
“…However, different payment systems might provide different incentives for hospitals in terms of healthcare delivery, which would potentially affect the effects of market competition on quality improvement. 36 For example, under the DRGs payment system, the government sets a fee for each diagnosis-related group, regardless of the quality of treatment supplied by the hospitals. As this system is designed for cost containment, hospitals would have an incentive to adopt the most costeffective treatment and have less concern about the quality of treatment.…”
Section: Discussionmentioning
confidence: 99%
“…14 More importantly, payment systems would potentially affect the providers' incentives to compete in the healthcare market. 36 Therefore, our empirical evidence derived from rural China with the fee-for-service payment system was expected to provide implications for other countries with similar settings in healthcare delivery. Second, the Herfindahl-Hirschman Index (HHI) has been commonly used in previous studies to measure hospital competition.…”
Section: Introductionmentioning
confidence: 99%
“…However, the current literature lacks studies on the relationship between insurers and practices with regard to capitation and FFS payments. Rather, prior work focuses on the effects of capitation and FFS payment systems on patients [5] rather than a broader segment of the healthcare system.…”
Section: Introductionmentioning
confidence: 99%
“…In response, we model the practice as a party that can set the fraction of patient visits f 2 conducted under an FFS model (i.e., visits without proactive team or nonvisit care). This can be played as a Stackelberg game [5] wherein the first player, the insurer, sets the value of f 1 so that the insurer’s net cost is minimized. In response, the practice sets f 2 so that the practice’s total revenue is maximized.…”
Section: Introductionmentioning
confidence: 99%