Arbeitspapier

Family composition and transitions into long-term care services among the elderly

Elderly's use of long-term care (LTC) services are likely to be influenced by family members, but there is scarce research on the role played by partners and/or adult children, especially taking geographic proximity into account. We thus examine how partners and adult children influence elderly's LTC use, taking regional differences into account. We employ logistic discrete-time hazard regression models on linked registry data for complete cohorts of elderly individuals (65+ years), their partners, their adult children, residing in Norway in the period 2010-2016 (N=820 000). We also include municipal characteristics. One's own, partner's and child(ren)'s characteristics are all associated with elderly individuals' LTC use. Partners' resources matter the most, but those of adult children are relevant when partners are less resourceful or absent. Childless elderly use more LTC services than elderly with children, and elderly with resourceful children living nearby use the least LTC services. The trends are similar across municipalities, but the magnitudes vary slightly depending on their geographic location and sociodemographic and economic resources. Future demographic and economic changes warrant a better understanding of the role played by family members for elderly's use of LTC services.

Sprache
Englisch

Erschienen in
Series: Discussion Papers ; No. 954

Klassifikation
Wirtschaft
Health: General
Health Behavior
Health: Government Policy; Regulation; Public Health
Demographic Economics: General
Public Goods
Thema
Care use
Family
Formal care
Geographic
Informal care
Long-term care (LTC)

Ereignis
Geistige Schöpfung
(wer)
Syse, Astri
Artamonova, Alyona
Thomas, Michael J.
Veenstra, Marijke
Ereignis
Veröffentlichung
(wer)
Statistics Norway, Research Department
(wo)
Oslo
(wann)
2021

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Syse, Astri
  • Artamonova, Alyona
  • Thomas, Michael J.
  • Veenstra, Marijke
  • Statistics Norway, Research Department

Entstanden

  • 2021

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