Evidence map›Paper›PMID 42063060›Full record

ArticleBMC public health2026

Population aging and changing hospitalization risks in Germany: a decomposition of changes in inpatient cases, 2005-2021.

Anna-Kathleen Piereth, Roland Rau, Marcus Ebeling

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Anna-Kathleen PierethMax Planck Institute for Demographic Research, Konrad-Zuse-Str. 1, Rostock, 18057, Germany. piereth@demogr.mpg.de.ORCID 0009-0003-4893-1357
Roland RauMax Planck Institute for Demographic Research, Konrad-Zuse-Str. 1, Rostock, 18057, Germany.ORCID 0000-0003-2131-6269
Marcus EbelingMax Planck Institute for Demographic Research, Konrad-Zuse-Str. 1, Rostock, 18057, Germany.ORCID 0000-0002-6531-8525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInpatient care improves and maintains population health but requires a clear understanding of the drivers of inpatient care utilization. In Germany, inpatient cases increased from 16.5 to 19.4 million between 2005 and 2019 and dropped tremendously during the Covid-19 pandemic. We investigate how population aging and changing hospitalization risks in the German population contributed to the changes in inpatient case numbers remunerated according to the German Diagnosis-Related Groups (G-DRG) system between 2005 and 2021.

methodsThe analysis is based on more than 280 million cases from the G-DRG Statistic and population exposures from the Human Mortality Database and covers all ages from 0 to 95+. We employ the Total Hospitalization Rate (THR) as the outcome, which measures total inpatient case numbers in relation to the changing population size. Using Kitagawa decomposition techniques, we quantify the impact of population aging and changes in age-specific hospitalization risks on THR changes before and during the Covid-19 pandemic, for the total population, women and men. To consider disease-specific influences on the age-specific hospitalization risks, we stratified the hospitalization risk effect by the disease category of the underlying primary diagnosis.

resultsThe THR experienced two distinct periods of change, increasing from 2005 to 2014 and decreasing afterwards, with a further drop related to the onset of the Covid-19 pandemic. Between 2005 and 2019, 64% of the increase in the THR can be attributed to the changing age structure. Population aging led to an increase in inpatient cases throughout the observation period, whereas the effect of changing age-specific hospitalization risks reversed from an increase in cases between 2005 and 2014 to a decrease in cases between 2014 and 2021. This trend shift has offset the effects of population aging since 2014 and was excessively strong during the Covid-19 pandemic. The decline in age-specific hospitalization risks across many disease categories underlines that no specific health conditions are responsible for the trend change in hospitalization risks.

conclusionsOur findings demonstrate the importance of population aging for inpatient case numbers. Future hospital planning needs to consider the central role of population aging in shaping inpatient care needs.

Indexed as

AgingCOVID-19HospitalizationInpatientsPopulation DynamicsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolDiagnosis-Related GroupsFemaleGermanyHumansInfantCovid-19 pandemicDecompositionDemographyG-DRG systemGermanyHospitalization risksInpatient casesPopulation agingTotal Hospitalization Rate

Identifiers

PMID42063060
PMCPMC13135272

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.