↓ Skip to main content

The effect of trends in health and longevity on health services use by older adults

Overview of attention for article published in BMC Health Services Research, December 2015
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

policy
1 policy source
twitter
2 X users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
88 Mendeley
Title
The effect of trends in health and longevity on health services use by older adults
Published in
BMC Health Services Research, December 2015
DOI 10.1186/s12913-015-1239-8
Pubmed ID
Authors

Bram Wouterse, Martijn Huisman, Bert R. Meijboom, Dorly J.H. Deeg, Johan J. Polder

Abstract

The effect of population aging on future health services use depends on the relationship between longevity gains and health. Whether further gains in life expectancy will be paired by improvements in health is uncertain. We therefore analyze the effect of population ageing on health services use under different health scenarios. We focus on the possibly diverging trends between different dimensions of health and their effect on health services use. Using longitudinal data on health and health services use, a latent Markov model has been estimated that includes different dimensions of health. We use this model to perform a simulation study and analyze the health dynamics that drive the effect of population aging. We simulate three health scenarios on the relationship between longevity and health (expansion of morbidity, compression of morbidity, and the dynamic equilibrium scenario). We use the scenarios to predict costs of health services use in the Netherlands between 2010 and 2050. Hospital use is predicted to decline after 2040, whereas long-term care will continue to rise up to 2050. Considerable differences in expenditure growth rates between scenarios with the same life expectancy but different trends in health are found. Compression of morbidity generally leads to the lowest growth. The effect of additional life expectancy gains within the same health scenario is relatively small for hospital care, but considerable for long-term care. By comparing different health scenarios resulting in the same life expectancy, we show that health improvements do contain costs when they decrease morbidity but not mortality. This suggests that investing in healthy aging can contribute to containing health expenditure growth.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 87 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 15%
Student > Master 12 14%
Researcher 8 9%
Student > Ph. D. Student 7 8%
Student > Doctoral Student 5 6%
Other 17 19%
Unknown 26 30%
Readers by discipline Count As %
Nursing and Health Professions 19 22%
Social Sciences 13 15%
Medicine and Dentistry 9 10%
Economics, Econometrics and Finance 6 7%
Psychology 3 3%
Other 10 11%
Unknown 28 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 June 2018.
All research outputs
#6,427,563
of 22,836,570 outputs
Outputs from BMC Health Services Research
#3,105
of 7,638 outputs
Outputs of similar age
#102,516
of 390,633 outputs
Outputs of similar age from BMC Health Services Research
#34
of 98 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,638 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 57% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 390,633 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.