IDEAS home Printed from https://ideas.repec.org/a/eee/hepoli/v124y2020i8p881-887.html
   My bibliography  Save this article

Disagreement between a public insurer’s recommendation and beneficiary’s choice of long-term care services in Korea

Author

Listed:
  • Song, Misook
  • Song, Hyunjong

Abstract

This study examined the disagreement between an insurer’s recommendation for long-term care (LTC) services and beneficiaries’ choices and analyzed the factors associated with the disagreement. Data from the National Long-Term Care Insurance (LTCI) and the Standard Care Plan were merged to create a dataset of 43,319 LTCI beneficiaries. The dependent variable was the disagreement between beneficiaries and insurers. Predisposing, enabling, and needs factors were independent variables based on the Andersen’s Model. Disagreement between the insurer’s recommendation of home care services and the beneficiaries’ choice of institution service was 6.7% (n = 2357). The opposite disagreement occurred in 23.0% (n = 1820) of cases. A multivariate analysis showed that the OR for disagreement between insurer-recommended home care services and beneficiary-selected institution services increased with age, living with someone, having Medical Aid, living in a facility, and having high care needs, dementia, and poor subjective hearing. The OR for disagreement between insurer-recommended institution service and beneficiary-selected home care service increased for men and decreased for those 90 years or older, living with someone, having Medicaid etc, and living at institution. Korean beneficiaries of LTCI have a high preference for aging in their home, and changes in LTCI contents must be made to address the needs of this population.

Suggested Citation

  • Song, Misook & Song, Hyunjong, 2020. "Disagreement between a public insurer’s recommendation and beneficiary’s choice of long-term care services in Korea," Health Policy, Elsevier, vol. 124(8), pages 881-887.
    • Handle: RePEc:eee:hepoli:v:124:y:2020:i:8:p:881-887
    DOI: 10.1016/j.healthpol.2020.04.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S016885102030097X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.healthpol.2020.04.012?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sugawara, Shinya & Nakamura, Jiro, 2016. "Gatekeeper incentives and demand inducement: An empirical analysis of care managers in the Japanese long-term care insurance program," Journal of the Japanese and International Economies, Elsevier, vol. 40(C), pages 1-16.
    2. Terry Y. S. Lum & Vivian W. Q. Lou & Yanyan Chen & Gloria H. Y. Wong & Hao Luo & Tracy L. W. Tong, 2016. "Neighborhood Support and Aging-in-Place Preference Among Low-Income Elderly Chinese City-Dwellers," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 71(1), pages 98-105.
    3. Hsu, Hui-Chuan & Chen, Chen-Fen, 2019. "LTC 2.0: The 2017 reform of home- and community-based long-term care in Taiwan," Health Policy, Elsevier, vol. 123(10), pages 912-916.
    4. Peter Alders & Hannie C. Comijs & Dorly J. H. Deeg, 2017. "Changes in admission to long-term care institutions in the Netherlands: comparing two cohorts over the period 1996–1999 and 2006–2009," European Journal of Ageing, Springer, vol. 14(2), pages 123-131, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shi, Hon-Yi & Yeh, Shu-Chuan Jennifer & Chou, Hsueh-Chih & Wang, Wen Chun, 2023. "Long-term care insurance purchase decisions of registered nurses: Deep learning versus logistic regression models," Health Policy, Elsevier, vol. 129(C).

    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. Sano, Kazuaki & Miyawaki, Atsushi & Abe, Kazuhiro & Jin, Xueying & Watanabe, Taeko & Tamiya, Nanako & Kobayashi, Yasuki, 2022. "Effects of cost sharing on long-term care service utilization among home-dwelling older adults in Japan," Health Policy, Elsevier, vol. 126(12), pages 1310-1316.
    2. Nan Lu & Shicun Xu & Qinghong Zhou, 2020. "Social Capital and Preferences for Aging in Place Among Older Adults Living in Rural Northeast China," IJERPH, MDPI, vol. 17(14), pages 1-10, July.
    3. Klimczuk, Andrzej & Tomczyk, Łukasz (ed.), 2017. "Selected Contemporary Challenges of Ageing Policy," EconStor Books, ZBW - Leibniz Information Centre for Economics, volume 0, number 174882.
    4. Versey, H. Shellae, 2018. "A tale of two Harlems: Gentrification, social capital, and implications for aging in place," Social Science & Medicine, Elsevier, vol. 214(C), pages 1-11.
    5. Shinya Sugawara, 2022. "What composes desirable formal at-home elder care? An analysis for multiple service combinations," The Japanese Economic Review, Springer, vol. 73(2), pages 373-402, April.
    6. Amélie Carrère & Emmanuelle Cambois & Roméo Fontaine, 2023. "Institutional Long-Term Care Use in France (2008-2015): The Role of Family Resources," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 538, pages 31-48.
    7. Rasnača, Liga & Rezgale-Straidoma, Endija, 2017. "Intergenerational Cultural Programs for Older People in Long-term Care Institutions: Latvian Case," MPRA Paper 84649, University Library of Munich, Germany.
    8. Cutler, Henry & Gu, Yuanyuan & Bilgrami, Anam & Partington, Andrew, 2023. "The 2021 proposal to increase market forces in the Australian residential aged-care sector," Health Policy, Elsevier, vol. 127(C), pages 60-65.
    9. Ying Li & Yiyang Pan & Yuan Chen & Pingyu Cui, 2021. "Important Dependency-Associated Community Resources among Elderly Individuals with a Low Level of Social Support in China," IJERPH, MDPI, vol. 18(5), pages 1-11, March.
    10. Siqiang Wang & Esther Hiu Kwan Yung & Ester Cerin & Yifan Yu & Peiheng Yu, 2022. "Older People’s Usage Pattern, Satisfaction with Community Facility and Well-Being in Urban Old Districts," IJERPH, MDPI, vol. 19(16), pages 1-24, August.

    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:eee:hepoli:v:124:y:2020:i:8:p:881-887. 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: Catherine Liu or the person in charge (email available below). General contact details of provider: http://www.elsevier.com/locate/healthpol .

    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.