Skip to main content

Advertisement

Log in

Insurance coverage, long-term care utilization, and health outcomes

  • Original Paper
  • Published:
The European Journal of Health Economics Aims and scope Submit manuscript

Abstract

How does the generosity of social insurance coverage affect the demand for healthcare and health outcomes of elderly people? This paper presents an examination of the effects of insurance coverage on long-term care (LTC) utilization and its health consequences using administrative data of the public long-term care insurance (LTCI) system in Japan. In LTCI, a recipient’s health score determines their insurance coverage limit, and thresholds of the score generate discontinuous changes in the level of coverage limits. I implement a regression discontinuity design and find that coverage expansion increases recipients’ LTC utilization considerably irrespective of their health status. When more generous insurance coverage is available, recipients with low care needs increase day care and rehabilitation services, whereas those with high care needs increase home care services. Moreover, using more LTC has little effect on health outcomes such as the health score and the entry into nursing homes. Together, these results suggest that generous LTCI coverage can induce excessive LTC utilization without having health benefits.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

This study uses proprietary data including claims data and care-needs certification data of the public long-term care insurance in Japan obtained from the municipal office of Chiba city. I conducted this study under the supervision of Professor Yasuki Kobayashi, Graduate School of Medicine, University of Tokyo. Researchers wishing to replicate the results will need to obtain permission to use the datasets from Chiba city and Professor Kobayashi.

Notes

  1. For simplicity, the exchange rate of 100 JPY = 1USD is used throughout this paper.

  2. Ministry of Finance. URL: https://www5.cao.go.jp/keizai-shimon/kaigi/special/reform/wg1/291108/shiryou1-8.pdf (Japanese).

  3. Designated diseases include terminal cancer, rheumatoid arthritis, ALS, ossification of posterior longitudinal ligament, osteoporosis, dementia, Parkinson’s disease, spinocerebellar degeneration, spinal canal stenosis, progeria syndrome, multiple system atrophy, diabetes, cerebrovascular disease, arteriosclerosis obliterans, chronic obstructive lung disease, and osteoarthritis.

  4. 4 In 2017, first-insured recipients account for 96.4% of all recipients. URL:https://www.mhlw.go.jp/topics/kaigo/osirase/jigyo/m17/1712.html (Japanese).

  5. A family member or guardian can also apply for the care-needs certification on behalf of the recipients.

  6. Long-term care under the Support level is designed to help recipients accomplish everyday activities independently. For example, if a recipient has a lack of hand mobility, then the caretaker’s role is to design a method for housework that the recipient can perform independently.

  7. The 20% coinsurance, introduced into 2015, applies to individuals with total annual income of more than 1.6 million JPY (16 K USD); that of first-insured family members is greater than 3.46 million JPY (34.6 K USD), or 2.8 million (28 K USD) for a single-person household.

  8. Recipients are classified into Care level 1 if both of the following requirements are satisfied: (1) it is difficult for the recipient to understand how to use care prevention services appropriately because of mental disability; (2) the physical and mental condition of the recipient is likely to worsen in a short period.

  9. According to the Long-Term Insurance Act, a care manager is defined as an expert who has specialized knowledge about LTC who helps recipients draw up the best care plan based on their needs, in coordination with LTC providers and the municipal government.

  10. Recipients are reclassified into different care-needs levels if necessary. In principle, the first care-needs certification is valid for a half year. The following certification is valid for 1 year.

  11. We omit all nursing home resident recipients including those who use institutional care such as community care in the facility.

  12. Because some recipients were allocated into different care-needs levels for several care-needs certifications, the sum of recipients for each care-needs level is not equal to the number of total recipients in the first column.

  13. An adjustment must be made to reflect service utilization accurately because the number of units of day care service might be higher at upper care-needs levels because of the higher price of these services. To address this point, day care service units are normalized using a price of Care level 1 as a baseline. Hereinafter, the measure of LTC utilization refers to these adjusted data. Effects of day care price changes on LTC utilization are assumed to be negligible because price changes across care-needs levels are fairly small (approx. 10%).

  14. Both sides of the threshold use the same parametric specification.

  15. 15 Ministry of Health, Labor and Welfare. URL: https://www.mhlw.go.jp/topics/kaigo/kentou/15kourei/sankou3.html (Japanese).

  16. 16 Ministry of Health, Labor and Welfare. URL: https://www.mhlw.go.jp/topics/kaigo/kentou/15kourei/sankou3.html (Japanese).

References

  1. Abaluck, J., Gruber, J., Swanson, A.: Prescription drug use under Medicare part D: a linear model of nonlinear budget sets. J. Public Econ. 164, 106–138 (2018). https://doi.org/10.1016/j.jpubeco.2018.05.005

    Article  PubMed  PubMed Central  Google Scholar 

  2. Angrist, J., Pischke, J.-S.: Mostly harmless econometrics: An Empiricist’s companion. Princeton University Press (2008)

    Book  Google Scholar 

  3. Bergman, H., Ferrucci, L., Guralnik, J., Hogan, D.B., Hummel, S., Karunananthan, S., Wolfson, C.: Frailty: an emerging research and clinical paradigm-issues and controversies. The J. Gerontol.: Series A 62(7), 731–737 (2007). https://doi.org/10.1093/gerona/62.7.731

    Article  Google Scholar 

  4. Calonico, S., Cattaneo, M.D., Titiunik, R.: Robust nonparametric confidence intervals for regression-discontinuity designs. Econometrica 82(6), 2295–2326 (2014). https://doi.org/10.3982/ECTA11757

    Article  Google Scholar 

  5. Campbell, J.C., Ikegami, N.: Long-Term Care Insurance Comes To Japan. Health Aff. 19(3), 26–39 (2000). https://doi.org/10.1377/hlthaff.19.3.26

    Article  CAS  Google Scholar 

  6. Cattaneo, M., Jansson, M., Ma, X.: Local regression distribution estimators. J. Economet. Forthcom. (2021). https://doi.org/10.1016/j.jeconom.2021.01.006

    Article  Google Scholar 

  7. Clegg, A., Young, J., Iliffe, S., Rikkert, M., Rockwood, K.: Frailty in elderly people. Lancet 381(9868), 752–762 (2013). https://doi.org/10.1016/S0140-6736(12)62167-9

    Article  PubMed  Google Scholar 

  8. Collard, R., Boter, H., Schoevers, R., Voshaar, R.O.: Prevalence of frailty in community-dwelling older persons: a systematic review. J. Am Geriat. Soc. 60(8), 1487–1492 (2012). https://doi.org/10.1111/j.1532-5415.2012.04054.x

    Article  PubMed  Google Scholar 

  9. Costa-Font, J., Jimenez-Martin, S., Vilaplana, C.: Does long-term care subsidization reduce hospital admissions and utilization? J. Health Econ. 58, 43–66 (2018). https://doi.org/10.1016/j.jhealeco.2018.01.002

    Article  PubMed  Google Scholar 

  10. Dalton, C.M., Gowrisankaran, G., Town, R.: Salience, My opia, and complex dynamic incentives: evidence from Medicare part D. Rev. Econ. Stud. 87(2), 822–869 (2019). https://doi.org/10.1093/restud/rdz023

    Article  Google Scholar 

  11. Einav, L., Finkelstein, A., Schrimpf, P.: The response of drug expenditure to nonlinear contract design: evidence from Medicare part D. Quart. J. Econ. 130(2), 841–899 (2015). https://doi.org/10.1093/qje/qjv005

    Article  Google Scholar 

  12. Einav, L., Finkelstein, A., Schrimpf, P.: Bunching at the Kink: Implications for spending responses to health insurance contracts. J. Public Econ. 146, 27–40 (2017). https://doi.org/10.1016/j.jpubeco.2016.11.011

    Article  PubMed  Google Scholar 

  13. Feng, J., Wang, Z., Yangyang, Yu.: Does long-term care insurance reduce hospital utilization and medical expenditures? Evidence from China. Soc. Sci. Med. 258, 113081 (2020). https://doi.org/10.1016/j.socscimed.2020.113081

    Article  PubMed  Google Scholar 

  14. Finkelstein, A., Taubman, S., Wright, B., Bernstein, M., Gruber, J., Newhouse, J.P., OregonHealth Study Group: The oregon health insurance experiment: evidence from the first year. Quart. J. Econ. 127(3), 1057–1106 (2012)

    Article  Google Scholar 

  15. Foster, A.D., Lee, Y.S.: Staffing subsidies and the quality of care in nursing homes. J. Health Econ. 41, 133–147 (2015). https://doi.org/10.1016/j.jhealeco.2015.02.002

    Article  PubMed  PubMed Central  Google Scholar 

  16. Fu, R., Noguchi, H.: Moral hazard under zero price policy: evidence from Japanese long-term care claims data. Eur. J. Health Econ. 20, 785–799 (2019). https://doi.org/10.1007/s10198-019-01041-6

    Article  PubMed  Google Scholar 

  17. Gill, T.M., Baker, D.I., Gottschalk, M., Peduzzi, P.N., Allore, and Amy Byers., H.: A program to prevent functional decline in physically frail, elderly persons who live at home. N. Engl. J. Med. 347(14), 1068–1074 (2002). https://doi.org/10.1056/NEJMoa020423

    Article  PubMed  Google Scholar 

  18. Hackmann, M.B.: Incentivizing better quality of care: the role of Medicaid and competition in the nursing home industry. Am. Econ. Rev. 109(5), 1684–1716 (2019). https://doi.org/10.1257/aer.20151057

    Article  PubMed  PubMed Central  Google Scholar 

  19. Ikegami, N.: Financing long-term care: lessons from Japan. Int. J. Health Policy Manag. 8(8), 462–466 (2019)

    Article  PubMed  PubMed Central  Google Scholar 

  20. Imbens, G., Wooldridge, J.: Recent developments in the econometrics of program evaluation. J. Econ. Literat. 47(1), 5–86 (2009)

    Article  Google Scholar 

  21. Kim, H.B., Lim, W.: Long-term care insurance, informal care, and medical expenditures. J. Public Econ. 125, 128–142 (2015). https://doi.org/10.1016/j.jpubeco.2014.12.004

    Article  Google Scholar 

  22. Kowalski, A.: Estimating the Tradeoff between risk protection and moral hazard with a nonlinear budget set model of health insurance. Int. J. Ind. Organ. 43, 122–135 (2015). https://doi.org/10.1016/j.ijindorg.2015.08.001

    Article  PubMed  PubMed Central  Google Scholar 

  23. Lee, D., Lemieux, T.: Regression Discontinuity Design in Economics. Journal of Economic Literature 48(2), 281–355 (2010). https://doi.org/10.1257/jel.48.2.281

    Article  Google Scholar 

  24. Lei, X., Bai, C., Hong, J., Liu, H.: Long-term care insurance and the well-being of older adults and their families: evidence from China. Soc. Sci. Med. 296, 114745 (2022). https://doi.org/10.1016/j.socscimed.2022.114745

    Article  PubMed  Google Scholar 

  25. Lin, H.: Revisiting the relationship between nurse staffing and quality of care in nursing homes: an instruments approach. J. Health Econ. 37, 13–24 (2014). https://doi.org/10.1016/j.jhealeco.2014.04.007

    Article  PubMed  Google Scholar 

  26. Lu, S.F., Lauren Xiaoyuan, Lu.: Do mandatory overtime laws improve quality? Staffing decisions and operational flexibility of nursing homes. Manage. Sci. 63(11), 3566–3585 (2017). https://doi.org/10.1287/mnsc.2016.2523

    Article  Google Scholar 

  27. Manning, W.G., Newhouse, J.P., Duan, N., Keeler, E.B., Leibowitz, A.: Health insurance and the demand for medical care: evidence from a randomized experiment. Am. Econ. Rev. 77(3), 251–277 (1987)

    CAS  PubMed  Google Scholar 

  28. McCrary, J.: Manipulation of the running variable in the regression discontinuity design: a density test. J. Economet. 142(2), 698–714 (2008). https://doi.org/10.1016/j.jeconom.2007.05.005

    Article  Google Scholar 

  29. Mommaerts, C.: Are coresidence and nursing homes substitute? Evidence from Medicaid spend-down provisions. J. Health Econ. 59, 125–138 (2018). https://doi.org/10.1016/j.jhealeco.2018.04.003

    Article  PubMed  PubMed Central  Google Scholar 

  30. Reich, M., Shibuya, K.: The future of Japan’s health system - sustaining good health with equity at low cost. N. Engl. J. Med. 373, 1793–1797 (2015). https://doi.org/10.1056/NEJMp1410676

    Article  PubMed  Google Scholar 

  31. Shigeoka, H.: The effect of patient cost sharing on utilization, health and risk protection. Am. Econ. Rev. 104(7), 2152–2184 (2014)

    Article  Google Scholar 

  32. Tamiya, N., Noguchi, H., Nishi, A., Reich, M.R., Ikegami, N., Hashimoto, H., Shibuya, K., Kawachi, I., Campbell, J.C.: Population ageing and wellbeing: lessons from japan’s long-term care insurance policy. Lancet 378, 1183–1192 (2011). https://doi.org/10.1016/S0140-6736(11)61176-8

    Article  PubMed  Google Scholar 

  33. Tsutsui, T., Muramatsu, N.: Care-needs certification in the long-term care insurance system of Japan. Int. Health Affairs 53(3), 522–527 (2005)

    Google Scholar 

Download references

Acknowledgement

I am grateful to Toshiaki Iizuka and Yasuki Kobayashi for their guidance and support throughout this project. I thank the municipal office of Chiba City for providing access to data. I thank Daisuke Adachi, Joseph Doyle, Jin Feng, Rong Fu, Konan Hara, Takuya Ishihara, Yoko Ibuka, Yuki Ito, Kyogo Kanazawa, Keisuke Kawata, Haruko Noguchi, Seojung Oh, Hiroki Saruya, Motohiro Sato, Hitoshi Shigeoka, Reo Takaku, Yuta Toyama, and Kohei Yata for thoughtful discussions and comments. I also thank the participants of numerous seminars and workshops for helpful comments. All errors are my own.

Funding

The author Masaki Takahashi has received funding from the Japan Society of Promotion of Science and Institute of Health Economics and Policy.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Masaki Takahashi.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

See Tables 8, 9, 10.

Table 8 Density test
Table 9 Covariates balance tests
Table 10 First-stage estimates for the health effects of long-term care utilization

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Takahashi, M. Insurance coverage, long-term care utilization, and health outcomes. Eur J Health Econ 24, 1383–1397 (2023). https://doi.org/10.1007/s10198-022-01550-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10198-022-01550-x

Keywords

JEL Classification

Navigation