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Measuring the impact of Japanese local public hospital reform on national medical expenditure via panel data regression

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  • Xing, Zhang
  • Oyama, Tatsuo

Abstract

Local public hospitals (LPH) in Japan were established to secure equal accessibility and to improve quality for the health care system by providing policy-based medical services. Difficulties faced by the LPHs challenged the equal accessibility of the health care system and the improvement of their financial situation. We try to investigate the impact of LPH burden on the health care system and attempt to repair the problems confronting LPHs in order to attain the higher health care quality based upon the technology innovation. Panel data regression is used to analyze the effect of proportion of LPH beds and an indicator of LPH burden on hospital personnel numbers and also on estimated national medical expenditure (ENME) using the data from 2005 to 2010 for 47 prefectures in Japan. Hospital personnel, a major supply-side indicator, increased more in prefectures shouldering smaller burden of LPH beds. Prefectural ENME, an important demand-side indicator composing of medical expenditure based on the location of medical facilities, tends to decrease with increasing prefectural LPH burden. The results indicate that patients in the prefectures carrying more LPH burden tend to seek health care in the prefectures bearing less LPH burden during the research period. These imbalances substantially increase after the LPH reform.

Suggested Citation

  • Xing, Zhang & Oyama, Tatsuo, 2016. "Measuring the impact of Japanese local public hospital reform on national medical expenditure via panel data regression," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 460-467.
  • Handle: RePEc:eee:tefoso:v:113:y:2016:i:pb:p:460-467
    DOI: 10.1016/j.techfore.2016.07.026
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    1. Emi Sato & Kiyohide Fushimi, 2009. "What has influenced patient health‐care expenditures in Japan?: variables of age, death, length of stay, and medical care," Health Economics, John Wiley & Sons, Ltd., vol. 18(7), pages 843-853, July.
    2. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    3. Mark McClellan, 2011. "Reforming Payments to Healthcare Providers: The Key to Slowing Healthcare Cost Growth While Improving Quality?," Journal of Economic Perspectives, American Economic Association, vol. 25(2), pages 69-92, Spring.
    4. Hyoung-Sun Jeong & Jeremy Hurst, 2001. "An Assessment of the Performance of the Japanese Health Care System," OECD Labour Market and Social Policy Occasional Papers 56, OECD Publishing.
    5. Joan Costa‐Font & Jordi Pons‐Novell, 2007. "Public health expenditure and spatial interactions in a decentralized national health system," Health Economics, John Wiley & Sons, Ltd., vol. 16(3), pages 291-306, March.
    6. Getzen, Thomas E., 2000. "Health care is an individual necessity and a national luxury: applying multilevel decision models to the analysis of health care expenditures," Journal of Health Economics, Elsevier, vol. 19(2), pages 259-270, March.
    7. Gian Paolo Barbetta & Gilberto Turati & Angelo M. Zago, 2007. "Behavioral differences between public and private not‐for‐profit hospitals in the Italian national health service," Health Economics, John Wiley & Sons, Ltd., vol. 16(1), pages 75-96, January.
    8. Randall S. Jones, 2009. "Health-Care Reform in Japan: Controlling Costs, Improving Quality and Ensuring Equity," OECD Economics Department Working Papers 739, OECD Publishing.
    9. Hiyoshi, Ayako & Fukuda, Yoshiharu & Shipley, Martin J. & Brunner, Eric J., 2014. "Health inequalities in Japan: The role of material, psychosocial, social relational and behavioural factors," Social Science & Medicine, Elsevier, vol. 104(C), pages 201-209.
    10. Galina Besstremyannaya, 2011. "Managerial performance and cost efficiency of Japanese local public hospitals: A latent class stochastic frontier model," Health Economics, John Wiley & Sons, Ltd., vol. 20(S1), pages 19-34, September.
    11. Hiroyuki Kawaguchi & Kaoru Tone & Miki Tsutsui, 2014. "Estimation of the efficiency of Japanese hospitals using a dynamic and network data envelopment analysis model," Health Care Management Science, Springer, vol. 17(2), pages 101-112, June.
    12. Luigi Siciliani & Peter Sivey & Andrew Street, 2013. "Differences In Length Of Stay For Hip Replacement Between Public Hospitals, Specialised Treatment Centres And Private Providers: Selection Or Efficiency?," Health Economics, John Wiley & Sons, Ltd., vol. 22(2), pages 234-242, February.
    13. Okamura, Shinichi & Kobayashi, Ryota & Sakamaki, Tetsuo, 2005. "Case-mix payment in Japanese medical care," Health Policy, Elsevier, vol. 74(3), pages 282-286, November.
    14. Koike, Soichi & Yasunaga, Hideo & Matsumoto, Shinya & Ide, Hiroo & Kodama, Tomoko & Imamura, Tomoaki, 2009. "A future estimate of physician distribution in hospitals and clinics in Japan," Health Policy, Elsevier, vol. 92(2-3), pages 244-249, October.
    15. Bruce Hollingsworth, 2008. "The measurement of efficiency and productivity of health care delivery," Health Economics, John Wiley & Sons, Ltd., vol. 17(10), pages 1107-1128, October.
    16. David Prieto & Santiago Lago-Peñas, 2012. "Decomposing the determinants of health care expenditure: the case of Spain," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(1), pages 19-27, February.
    17. Matsumoto, Masatoshi & Inoue, Kazuo & Bowman, Robert & Kajii, Eiji, 2010. "Self-employment, specialty choice, and geographical distribution of physicians in Japan: A comparison with the United States," Health Policy, Elsevier, vol. 96(3), pages 239-244, August.
    18. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    19. Jay Pan & Gordon G. Liu, 2012. "The Determinants Of Chinese Provincial Government Health Expenditures: Evidence From 2002–2006 Data," Health Economics, John Wiley & Sons, Ltd., vol. 21(7), pages 757-777, July.
    20. Shinjo, Daisuke & Aramaki, Toshiharu, 2012. "Geographic distribution of healthcare resources, healthcare service provision, and patient flow in Japan: A cross sectional study," Social Science & Medicine, Elsevier, vol. 75(11), pages 1954-1963.
    21. Di Matteo, Livio & Di Matteo, Rosanna, 1998. "Evidence on the determinants of Canadian provincial government health expenditures: 1965-1991," Journal of Health Economics, Elsevier, vol. 17(2), pages 211-228, April.
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    2. Kim, Rachel H. & Gaukler, Gary M. & Lee, Chang Won, 2016. "Improving healthcare quality: A technological and managerial innovation perspective," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 373-378.

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