IDEAS home Printed from https://ideas.repec.org/p/unm/unumer/2012069.html
   My bibliography  Save this paper

The determinants of home based long-term care utilisation in Western European countries

Author

Listed:
  • Tomini, Sonila

    (UNU-MERIT/MGSoG)

  • Groot, Wim

    (CAPHRI and TIER, Maastricht University)

  • Pavlova, Milena

    (CAPHRI, Maastricht University)

Abstract

The need for long-term care (LTC) is projected to increase in all European countries due to the ageing of the population. The number of people aged 65 and older will double in EU-15 countries by 2050 under a pure ageing scenario and will increase by more than 30 per cent under the constant disability scenario. The aim of this paper is to see how different individual characteristics and the LTC systems around Western Europe influence the utilisation of formal LTC (in terms of frequency of services received). The data used from this study come from the Survey of Health Ageing and Retirement in Europe (SHARE) 2004-2005. We test here the individuals and systems characteristics determining the influence of use professional home-based LTC service (nursing care, domestic home assistance and meals-on-wheals). The frequencies are modelled using a negative binomial regression model. Our findings indicate that utilisation of professional home-based LTC increases significantly with factors like age, education, income and ADL (Activities of Daily Living) score. We found that the utilisation of LTC services is closely linked to the policy priorities, the financing and the organisations of the LTC system. In countries like the Netherlands, where a greater policy emphasis is put on home-based care, the utilisation of home-based LTC is higher compared with most of the other countries in the study.

Suggested Citation

  • Tomini, Sonila & Groot, Wim & Pavlova, Milena, 2012. "The determinants of home based long-term care utilisation in Western European countries," MERIT Working Papers 2012-069, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    • Handle: RePEc:unm:unumer:2012069
    as

    Download full text from publisher

    File URL: https://unu-merit.nl/publications/wppdf/2012/wp2012-069.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. K. Bolin & B. Lindgren & P. Lundborg, 2008. "Informal and formal care among single‐living elderly in Europe," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 393-409, March.
    2. Bonsang, Eric, 2009. "Does informal care from children to their elderly parents substitute for formal care in Europe?," Journal of Health Economics, Elsevier, vol. 28(1), pages 143-154, January.
    3. de Meijer, Claudine & Koopmanschap, Marc & d' Uva, Teresa Bago & van Doorslaer, Eddy, 2011. "Determinants of long-term care spending: Age, time to death or disability?," Journal of Health Economics, Elsevier, vol. 30(2), pages 425-438, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. James Gaughan & Hugh Gravelle & Rita Santos & Luigi Siciliani, 2017. "Long-term care provision, hospital bed blocking, and discharge destination for hip fracture and stroke patients," International Journal of Health Economics and Management, Springer, vol. 17(3), pages 311-331, September.
    2. Pieter Bakx & Claudine de Meijer & Frederik Schut & Eddy van Doorslaer, 2015. "Going Formal or Informal, Who Cares? The Influence of Public Long‐Term Care Insurance," Health Economics, John Wiley & Sons, Ltd., vol. 24(6), pages 631-643, June.
    3. Ozbugday, Fatih Cemil & Tirgil, Abdullah & Kose, Elif Gul, 2020. "Efficiency changes in long-term care in OECD countries: A non-parametric Malmquist Index approach," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    4. Norton, E.C., 2016. "Health and Long-Term Care," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 951-989, Elsevier.
    5. Heger, Dörte & Korfhage, Thorben, 2016. "Care choices in Europe: To each according to his needs?," Ruhr Economic Papers 649, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Claudine de Meijer & Pieter Bakx & Eddy van Doorslaer & Marc Koopmanschap, 2015. "Explaining Declining Rates of Institutional LTC Use in the Netherlands: A Decomposition Approach," Health Economics, John Wiley & Sons, Ltd., vol. 24(S1), pages 18-31, March.
    7. Ludovico Carrino & Cristina Elisa Orso, 2014. "Eligibility and inclusiveness of Long-Term Care Institutional frameworks in Europe: a cross-country comparison," Working Papers 2014:28, Department of Economics, University of Venice "Ca' Foscari".
    8. Silvia Balia & Rinaldo Brau, 2014. "A Country For Old Men? Long‐Term Home Care Utilization In Europe," Health Economics, John Wiley & Sons, Ltd., vol. 23(10), pages 1185-1212, October.
    9. Ludovico Carrino & Cristina Elisa Orso & Giacomo Pasini, 2018. "Demand of long‐term care and benefit eligibility across European countries," Health Economics, John Wiley & Sons, Ltd., vol. 27(8), pages 1175-1188, August.
    10. Norma B. Coe & Jing Guo & R. Tamara Konetzka & Courtney Harold Van Houtven, 2019. "What is the marginal benefit of payment‐induced family care? Impact on Medicaid spending and health of care recipients," Health Economics, John Wiley & Sons, Ltd., vol. 28(5), pages 678-692, May.
    11. Quitterie Roquebert & Jonathan Sicsic & Thomas Rapp, 2021. "Health measures and long-term care use in the European frail population," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(3), pages 405-423, April.
    12. Rapp, Thomas & Ronchetti, Jérome & Sicsic, Jonathan, 2022. "Impact of formal care consumption on informal care use in Europe: What is happening at the beginning of dependency?," Health Policy, Elsevier, vol. 126(7), pages 632-642.
    13. Max Groneck, 2017. "Bequests and Informal Long-Term Care: Evidence from HRS Exit Interviews," Journal of Human Resources, University of Wisconsin Press, vol. 52(2), pages 531-572.
    14. Urwin, Sean & Lau, Yiu-Shing & Grande, Gunn & Sutton, Matt, 2021. "The extent and predictors of discrepancy between provider and recipient reports of informal caregiving," Social Science & Medicine, Elsevier, vol. 277(C).
    15. Johannes Geyer & Thorben Korfhage, 2015. "Long‐term Care Insurance and Carers' Labor Supply – A Structural Model," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1178-1191, September.
    16. Brenda Gannon & Bérengère Davin, 2010. "Use of formal and informal care services among older people in Ireland and France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(5), pages 499-511, October.
    17. Alberto Pench, 2018. "Intra Generational Solidarity and Long Term Care: A Role for In Kind Transfers," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2018(1), pages 35-57.
    18. Wang, Yixiao & Yang, Wei & Avendano, Mauricio, 2022. "Does informal care reduce health care utilisation in older age? Evidence from China," Social Science & Medicine, Elsevier, vol. 306(C).
    19. Nguyen, Ha Trong & Connelly, Luke Brian, 2014. "The effect of unpaid caregiving intensity on labour force participation: Results from a multinomial endogenous treatment model," Social Science & Medicine, Elsevier, vol. 100(C), pages 115-122.
    20. Christophe Courbage & Guillem Montoliu-Montes & Joël Wagner, 2020. "The effect of long-term care public benefits and insurance on informal care from outside the household: empirical evidence from Italy and Spain," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(8), pages 1131-1147, November.

    More about this item

    Keywords

    Long-term care; population ageing; negative binomial regression model;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:unm:unumer:2012069. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ad Notten The email address of this maintainer does not seem to be valid anymore. Please ask Ad Notten to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/meritnl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.