Technical Efficiency of Prevention Services for Functional Dependency in Japan’s Public Long-term Care Insurance System: An Ecological Study

Document Type : Original Article

Authors

1 Graduate School of Medicine, The University of Tokyo, Tokyo, Japan

2 Department of Health and Social Behavior, School of Public Health, The University of Tokyo, Tokyo, Japan

3 Economics Faculty, Seijo University, Tokyo, Japan

Abstract

Background 
Public long-term care insurance (LTCI) systems can promote equal and wider access to quality long-term care. However, ensuring the financial sustainability is challenging owing to growing care demand related to population aging. To control growing demand, Japan’s public LTCI system uniquely provided home- and community-based prevention services for functional dependency for older people (ie, adult day care, nursing care, home care, functional screening, functional training, health education, and support for social activities), following nationwide protocols with decentralized delivery from 2006 until 2015. However, evaluations of the effects of these services have been inconclusive.
 
Methods 
We estimated the marginal gain and technical efficiency of local prevention services using 2009–2014 panel data for 474 local public insurers in Japan, based on stochastic frontier analysis. The outcome was the transformed sexand age-adjusted ratio of the observed to expected number of individuals aged ≥65 years certified for moderate care. Higher outcome values indicate lower population risk of moderate functional dependency in each region in each year. The marginal gains of the provided quantities of prevention services as explanatory variables were estimated, adjusting for regional medical and welfare access, care demand and supply, and other regional factors as covariates.
 
Results 
Prevention services (except functional screening) significantly reduced the population risk of moderate functional dependency. Specifically, the mean changes in outcome per 1% increase in adult day care, other nursing care, and home care were 0.13%, 0.07%, and 0.04%, respectively. The median technical efficiency of local public insurers was 0.94 (interquartile range: 0.89–0.99).
 
Conclusion 
These findings suggest that population-based services with decentralized local operation following standardized protocols could achieve efficient prevention across regions. This study could inform current discussions about the range of benefit coverage in public LTCI systems by presenting a useful option for the provision of preventive benefits.

Keywords


  1. Ikegami N. Financing long-term care: lessons from Japan. Int J Health Policy Manag. 2019;8(8):462-466. doi:15171/ijhpm.2019.35
  2. Ikegami N. Key issues in designing long-term care systems: a response to recent commentaries. Int J Health Policy Manag. 2020;9(12):542-544. doi:34172/ijhpm.2020.42
  3. Gori C. Long-term care financing: inserting politics and resource allocation in the debate: Comment on "Financing long-term care: lessons from Japan". Int J Health Policy Manag. 2020;9(2):77-79. doi:15171/ijhpm.2019.88
  4. Campbell J, Ikegami N, Gori C, et al. How different countries allocate long-term care resources to older users: a comparative snapshot. In: Gori C, Fernández J, Wittenberg R, eds. Long-Term Care Reforms in OECD Countries: Successes and Failures. Bristol: Policy Press; 2016:47-65.
  5. Tamiya N, Noguchi H, Nishi A, et al. Population ageing and wellbeing: lessons from Japan's long-term care insurance policy. Lancet. 2011;378(9797):1183-1192. doi:1016/s0140-6736(11)61176-8
  6. Campbell JC, Ikegami N, Gibson MJ. Lessons from public long-term care insurance in Germany and Japan. Health Aff (Millwood). 2010;29(1):87-95. doi:1377/hlthaff.2009.0548
  7. Tsutsui T, Muramatsu N. Japan's universal long-term care system reform of 2005: containing costs and realizing a vision. J Am Geriatr Soc. 2007;55(9):1458-1463. doi:1111/j.1532-5415.2007.01281.x
  8. Ministry of Health, Labour and Welfare of Japan. Survey of Long-Term Care Insurance Services 2009-2014. https://www.mhlw.go.jp/toukei/list/84-1.html. Accessed July 24, 2023.
  9. Long-Term Care Insurance Act, Japan. 1997. https://elaws.e-gov.go.jp/document?lawid=409AC0000000123. Accessed July 24, 2023.
  10. Ministry of Health, Labour and Welfare of Japan. Survey of Long-Term Care Prevention and Daily Life Support Programs 2009-2014. https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/hukushi_kaigo/kaigo_koureisha/yobou/index.html. Accessed July 24, 2023.
  11. Cohen MA, Miller J, Shi X, Sandhu J, Lipsitz LA. Prevention program lowered the risk of falls and decreased claims for long-term services among elder participants. Health Aff (Millwood). 2015;34(6):971-977. doi:1377/hlthaff.2014.1172
  12. Sato K, Ikeda T, Watanabe R, Kondo N, Kawachi I, Kondo K. Intensity of community-based programs by long-term care insurers and the likelihood of frailty: multilevel analysis of older Japanese adults. Soc Sci Med. 2020;245:112701. doi:1016/j.socscimed.2019.112701
  13. Olivares-Tirado P, Tamiya N, Kashiwagi M. Effect of in-home and community-based services on the functional status of elderly in the long-term care insurance system in Japan. BMC Health Serv Res. 2012;12:239. doi:1186/1472-6963-12-239
  14. Kato G, Tamiya N, Kashiwagi M, Sato M, Takahashi H. Relationship between home care service use and changes in the care needs level of Japanese elderly. BMC Geriatr. 2009;9:58. doi:1186/1471-2318-9-58
  15. Ito T, Mori T, Takahashi H, et al. Prevention services via public long-term care insurance can be effective among a specific group of older adults in Japan. BMC Health Serv Res. 2021;21(1):531. doi:1186/s12913-021-06495-0
  16. Tomita N, Yoshimura K, Ikegami N. Impact of home and community-based services on hospitalisation and institutionalisation among individuals eligible for long-term care insurance in Japan. BMC Health Serv Res. 2010;10:345. doi:1186/1472-6963-10-345
  17. Ministry of Health, Labour and Welfare of Japan. Standards for Personnel, Equipment, and Operation of Designated Home- and Community-Based Care. 1999. https://elaws.e-gov.go.jp/document?lawid=411M50000100037. Accessed July 24, 2023.
  18. Ministry of Health, Labour and Welfare of Japan. Survey of Institutions and Establishments for Long-Term Care 2009-2014. https://www.mhlw.go.jp/toukei/list/24-22-2.html. Accessed July 24, 2023.
  19. Ministry of Internal Affairs and Communications, Japan. Population Census 2010, 2015. https://www.stat.go.jp/data/kokusei/2015/index.html. Accessed July 24, 2023.
  20. Ministry of Internal Affairs and Communications, Japan. Local Finance Statistics Annual Report 2009-2014. https://www.soumu.go.jp/iken/shihyo_ichiran.html. Accessed July 24, 2023.
  21. Ministry of Health, Labour and Welfare of Japan. Survey of Medical Institutions 2009-2014. https://www.mhlw.go.jp/toukei/list/79-1.html. Accessed July 24, 2023.
  22. Cabinet Office, Government of Japan. Designated Disaster Area. 2012. https://www.bousai.go.jp/2011daishinsai/2011jyosei-tokutei.html. Accessed July 24, 2023.
  23. Ministry of Health, Labour and Welfare of Japan. Procedure for Certification of Long-Term Care Needs. 2016. https://www.mhlw.go.jp/stf/shingi2/0000126234.html. Accessed December 11, 2023.
  24. Ministry of Health, Labour and Welfare of Japan. Statistics of Long-Term Care Benefit Expenditures 2014. https://www.mhlw.go.jp/toukei/saikin/hw/kaigo/kyufu/14/index.html. Accessed December 14, 2023.
  25. Hoogendijk EO, Afilalo J, Ensrud KE, Kowal P, Onder G, Fried LP. Frailty: implications for clinical practice and public health. Lancet. 2019;394(10206):1365-1375. doi:1016/s0140-6736(19)31786-6
  26. Coelli TJ, Rao DS, O'donnell CJ, Battese GE. An Introduction to Efficiency and Productivity Analysis. New York: Springer; 2005. doi:1007/b136381
  27. Farrell MJ. The measurement of productive efficiency. J R Stat Soc Series A. 1957;120(3):253-281. doi:2307/2343100
  28. Greene W. Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems. Health Econ. 2004;13(10):959-980. doi:1002/hec.938
  29. Greene W. Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. J Econom. 2005;126(2):269-303. doi:1016/j.jeconom.2004.05.003
  30. Tran A, Nguyen KH, Gray L, Comans T. A systematic literature review of efficiency measurement in nursing homes. Int J Environ Res Public Health. 2019;16(12):2186. doi:3390/ijerph16122186
  31. Ozbugday FC, Tirgil A, Kose EG. Efficiency changes in long-term care in OECD countries: a non-parametric Malmquist index approach. Socioecon Plann Sci. 2020;70:100733. doi:1016/j.seps.2019.100733
  32. Cohen JP. Production functions for medical services. In: Culyer AJ, eds. Encyclopedia of Health Economics. Vol 3. Amsterdam: Elsevier; 2014:180-183.
  33. Hollingsworth B. Evaluating efficiency of a health care systemin the developed world. In: Culyer AJ, eds. Encyclopedia of Health Economics. Vol 1. Amsterdam: Elsevier; 2014:292-299.
  34. Hashimoto A, Kawaguchi H, Hashimoto H. Contribution of the technical efficiency of public health programs to national trends and regional disparities in unintentional childhood injury in Japan. Front Public Health. 2022;10:913875. doi:3389/fpubh.2022.913875
  35. Lunt C, Dowrick C, Lloyd-Williams M. What is the impact of day care on older people with long-term conditions: a systematic review. Health Soc Care Community. 2021;29(5):1201-1221. doi:1111/hsc.13245
  36. Negm AM, Kennedy CC, Thabane L, et al. Management of frailty: a systematic review and network meta-analysis of randomized controlled trials. J Am Med Dir Assoc. 2019;20(10):1190-1198. doi:1016/j.jamda.2019.08.009
  37. Puts MT, Toubasi S, Andrew MK, et al. Interventions to prevent or reduce the level of frailty in community-dwelling older adults: a scoping review of the literature and international policies. Age Ageing. 2017;46(3):383-392. doi:1093/ageing/afw247
  38. Boland L, Légaré F, Perez MM, et al. Impact of home care versus alternative locations of care on elder health outcomes: an overview of systematic reviews. BMC Geriatr. 2017;17(1):20. doi:1186/s12877-016-0395-y
  39. Belotti F, Daidone S, Ilardi G, Atella V. Stochastic frontier analysis using Stata. Stata J. 2013;13(4):719-758. doi:1177/1536867x1301300404
  40. Jondrow J, Knox Lovell CA, Materov IS, Schmidt P. On the estimation of technical inefficiency in the stochastic frontier production function model. J Econom. 1982;19(2-3):233-238. doi:1016/0304-4076(82)90004-5
  41. Ambagtsheer RC, Beilby JJ, Visvanathan R, Dent E, Yu S, Braunack-Mayer AJ. Should we screen for frailty in primary care settings? A fresh perspective on the frailty evidence base: a narrative review. Prev Med. 2019;119:63-69. doi:1016/j.ypmed.2018.12.020
  42. Tokunaga M, Hashimoto H, Tamiya N. A gap in formal long-term care use related to characteristics of caregivers and households, under the public universal system in Japan: 2001-2010. Health Policy. 2015;119(6):840-849. doi:1016/j.healthpol.2014.10.015
  43. Bokusheva R, Čechura L, Kumbhakar SC. Estimating persistent and transient technical efficiency and their determinants in the presence of heterogeneity and endogeneity. J Agric Econ. 2023;74(2):450-472. doi:1111/1477-9552.12512

Articles in Press, Corrected Proof
Available Online from 01 June 2024
  • Receive Date: 02 August 2023
  • Revise Date: 22 April 2024
  • Accept Date: 29 May 2024
  • First Publish Date: 01 June 2024