Evidence map›Paper›PMID 34786008›Full record

ArticleEuropean journal of ageing2021

Gender differences in time to first hospital admission at age 60 in Denmark, 1995-2014.

Andreas Höhn, Anna Oksuzyan, Rune Lindahl-Jacobsen, Kaare Christensen, Rosie Seaman

Abstract read
In one paragraph

Article in European journal of ageing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Antibiotics (Basel, Switzerland) · 2022
    Article
  4. Article
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

5 authors.

Andreas HöhnInstitute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-7170-1205
Anna OksuzyanMax Planck Institute for Demographic Research, Rostock, Germany.ORCID 0000-0003-4138-5886
Rune Lindahl-JacobsenDepartment of Epidemiology, Biostatistics, and Biodemography, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-4622-9826
Kaare ChristensenDepartment of Epidemiology, Biostatistics, and Biodemography, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-5429-5292
Rosie SeamanMax Planck Institute for Demographic Research, Rostock, Germany.ORCID 0000-0003-1400-4048

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Women have consistently lower mortality rates than men at all ages and with respect to most causes. However, gender differences regarding hospital admission rates are more mixed, varying across ages and causes. A number of intuitive metrics have previously been used to explore changes in hospital admissions over time, but have not explicitly quantified the gender gap or estimated the cumulative contribution from cause-specific admission rates. Using register data for the total Danish population between 1995 and 2014, we estimated the time to first hospital admission for Danish men and women aged 60. This is an intuitive population-level metric with the same interpretive and mathematical properties as period life expectancy. Using a decomposition approach, we were able to quantify the cumulative contributions from eight causes of hospital admission to the gender gap in time to first hospital admission. Between 1995 and 2014, time to first admission increased for both, men (7.6 to 9.4 years) and women (8.3 to 10.3 years). However, the magnitude of gender differences in time to first admission remained relatively stable within this time period (0.7 years in 1995, 0.9 years in 2014). After age 60, Danish men had consistently higher rates of admission for cardiovascular conditions and neoplasms, but lower rates of admission for injuries, musculoskeletal disorders, and sex-specific causes. Although admission rates for both genders have generally declined over the last decades, the same major causes of admission accounted for the gender gap. Persistent gender differences in causes of admission are, therefore, important to consider when planning the delivery of health care in times of population ageing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10433-021-00614-w.

Indexed as

Gender differencesHealthHealthcare useHospital admissions

Identifiers

PMID34786008
PMCPMC8563932

What Socratic 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 Socratic graph.