Literature DB >> 19286838

Age and closeness of death as determinants of health and social care utilization: a case-control study.

Leena Forma1, Pekka Rissanen, Mari Aaltonen, Jani Raitanen, Marja Jylhä.   

Abstract

BACKGROUND: We used case-control design to compare utilization of health and social services between older decedents and survivors, and to identify the respective impact of age and closeness of death on the utilization of services.
METHODS: Data were derived from multiple national registers. The sample consisted of 56,001 persons, who died during years 1998-2000 at the age of > or = 70, and their pairs matched on age, gender and municipality of residence, who were alive at least 2 years after their counterpart's death. Data include use of hospitals, long-term care and home care. Decedents' utilization within 2 years before death and survivors' utilization in the same period of time was assessed in three age groups (70-79, 80-89 and > or = 90 years) and by gender.
RESULTS: Decedents used hospital and long-term care more than their surviving counterparts, but the time patterns were different. In hospital care the differences between decedents and survivors rose in the last months of the study period, whereas in long-term care there were clear differences during the whole 2-year period. The differences were smaller in the oldest age group than in younger age groups.
CONCLUSION: Closeness of death is an important predictor of health and social service use in old age, but its influence varies between age groups. Not only the changing age structure, but also the higher average age at death affects the future need for services.

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Mesh:

Year:  2009        PMID: 19286838     DOI: 10.1093/eurpub/ckp028

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


  14 in total

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2.  Complex health problems among the oldest old in Sweden: increased prevalence rates between 1992 and 2002 and stable rates thereafter.

Authors:  Bettina Meinow; Ingemar Kåreholt; Mats Thorslund; Marti G Parker
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3.  The association of potentially inappropriate medication use on health outcomes and hospital costs in community-dwelling older persons: a longitudinal 12-year study.

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4.  Transitions in health and social service system at the end of life.

Authors:  Mari Aaltonen; Leena Forma; Pekka Rissanen; Jani Raitanen; Marja Jylhä
Journal:  Eur J Ageing       Date:  2010-07-10

5.  Increasing advance care planning in the secondary care setting: A quality improvement project.

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Journal:  Future Healthc J       Date:  2020-06

6.  Assessing the validity of a data driven segmentation approach: A 4 year longitudinal study of healthcare utilization and mortality.

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7.  Utilization of acute and long-term care in the last year of life: comparison with survivors in a population-based study.

Authors:  Anne Margriet Pot; France Portrait; Geraldine Visser; Martine Puts; Marjolein I Broese van Groenou; Dorly J H Deeg
Journal:  BMC Health Serv Res       Date:  2009-08-05       Impact factor: 2.655

8.  Acute hospital-based services used by adults during the last year of life in New South Wales, Australia: a population-based retrospective cohort study.

Authors:  David E Goldsbury; Dianne L O'Connell; Afaf Girgis; Anne Wilkinson; Jane L Phillips; Patricia M Davidson; Jane M Ingham
Journal:  BMC Health Serv Res       Date:  2015-12-04       Impact factor: 2.655

9.  Seasonal Variation in Mortality, Medical Care Expenditure and Institutionalization in Older People: Evidence from a Dutch Cohort of Older Health Insurance Clients.

Authors:  Herbert Jan Albert Rolden; Jos Hermanus Theodoor Rohling; David van Bodegom; Rudi Gerardus Johannes Westendorp
Journal:  PLoS One       Date:  2015-11-16       Impact factor: 3.240

10.  Changes in older people's care profiles during the last 2 years of life, 1996-1998 and 2011-2013: a retrospective nationwide study in Finland.

Authors:  Mari Aaltonen; Leena Forma; Jutta Pulkki; Jani Raitanen; Pekka Rissanen; Marja Jylha
Journal:  BMJ Open       Date:  2017-12-01       Impact factor: 2.692

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