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Gesundheitsausgabenentwicklung und der Einfluss des demografischen Wandels

Overview of attention for article published in Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, February 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#32 of 937)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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3 news outlets
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2 X users

Citations

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3 Dimensions

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6 Mendeley
Title
Gesundheitsausgabenentwicklung und der Einfluss des demografischen Wandels
Published in
Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, February 2018
DOI 10.1007/s00103-018-2713-3
Pubmed ID
Authors

Jona T. Stahmeyer, Siegfried Geyer, Jelena Epping, Juliane Tetzlaff, Sveja Eberhard

Abstract

The development of healthcare expenditures and the impact of demographic change are the subject of a controversial debate. Yearly healthcare expenditures have more than doubled between 1992 and 2015 and are often justified by the aging demographic. The majority of expenses are paid by the statutory health insurance (SHI). The aim of the current study was to evaluate the contribution of the demographic change to increasing total per capita expenditures in the SHI as well as to analyze the development and the impact in individual areas of spending.We calculated average per capita expenditures from 2004 to 2015 based on data from the German Federal (Social) Insurance Office. Information on the age distribution in SHI was derived from official statistics of the Federal Ministry of Health. To determine the impact of demographic change on per capita expenditures, age distribution was standardized based on 2004 data. Additionally, the impact of inflation and other factors was determined.The results show an increase in per capita expenditures from €1722 in 2004 to €2656 in 2015 (+54.2%). Assuming a constant age distribution at the 2004 level, average per capita expenditures would have increased by 44.9%. The relative share of demographic change is only 17.3%; 32.2% could be explained by inflation and 50.5% are based on other factors. We observed large differences in the increase for the individual areas of spending, which can partly be explained by the impact of demographic change.This analysis illustrates that the demographic change is not the frequently claimed cost driver in healthcare. Other factors have a substantially greater impact on healthcare expenditures.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 17%
Professor 1 17%
Researcher 1 17%
Unknown 3 50%
Readers by discipline Count As %
Medicine and Dentistry 2 33%
Nursing and Health Professions 1 17%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 04 June 2018.
All research outputs
#1,307,362
of 23,043,346 outputs
Outputs from Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz
#32
of 937 outputs
Outputs of similar age
#31,305
of 330,050 outputs
Outputs of similar age from Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz
#2
of 21 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 937 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 96% 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 330,050 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.