Evidence map›Paper›PMID 24292437›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2014

Population ageing and healthcare expenditure projections: new evidence from a time to death approach.

Claudia Geue, Andrew Briggs, James Lewsey, Paula Lorgelly

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Article
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  4. Age, morbidity, and time to death: End-of-life expenditures on health care for the young-old population.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
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  10. Hospital Expenditure at the End-of-Life: A Time-to-Death Approach.International journal of health policy and management · 2022
    Article
  11. Article
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  14. Evolution of health care utilization and expenditure during the year before death in 2015 among people with cancer: French snds-based cohort study.The European journal of health economics : HEPAC : health economics in prevention and care · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Claudia GeueHealth Economics and Health Technology Assessment, Institute of Health and Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow, G12 8RZ, UK, Claudia.Geue@glasgow.ac.uk.
Andrew Briggs
James Lewsey
Paula Lorgelly

Funding

Chief Scientist OfficeMedical Research Council
6 · The paper itself

Abstract

backgroundHealth care expenditure (HCE) is not distributed evenly over a person's life course. How much is spent on the elderly is important as they are a population group that is increasing in size. However other factors, such as death-related costs that are known to be high, need be considered as well in any expenditure projections and budget planning decisions.

objectiveThis article analyses, for the first time in Scotland, how expenditure projections for acute inpatient care are influenced when applying two different analytical approaches: (1) accounting for healthcare (HC) spending at the end of life and (2) accounting for demographic changes only. The association between socioeconomic status and HC utilisation and costs at the end of life is also estimated.

methodsA representative, longitudinal data set is used. Survival analysis is employed to allow inclusion of surviving sample members. Cost estimates are derived from a two-part regression model. Future population estimates were obtained for both methods and multiplied separately by cost estimates.

resultsTime to death (TTD), age at death and the interaction between these two have a significant effect on HC costs. As individuals approach death, those living in more deprived areas are less likely to be hospitalised than those individuals living in the more affluent areas, although this does not translate into incurring statistically significant higher costs. Projected HCE for acute inpatient care for the year 2028 was approximately 7% higher under the demographic approach as compared to a TTD approach.

conclusionThe analysis showed that if death is postponed into older ages, HCE (and HC budgets) would not increase to the same extent if these factors were ignored. Such factors would be ignored if the population that is in their last year(s) of life were not taken into consideration when obtaining cost estimates.

Indexed as

AgedAged, 80 and overAge FactorsDelivery of Health CareFemaleForecastingHealth ExpendituresHumansMaleMiddle AgedModels, EconometricMortalityScotlandSurvival AnalysisTime Factors

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.