Evidence map›Paper›PMID 38472724›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2024

The causal effect of early retirement on medication use across sex and occupation: evidence from Danish administrative data.

Jolien Cremers, Torben Heien Nielsen, Claus Thorn Ekstrøm

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In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2024. 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
1.7field-weighted citation impact, top 20% of its field
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, 1 citations in OpenAlex.

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 at 1 institution in 1 country.

Jolien CremersData Science Lab, Statistics Denmark, Copenhagen, Denmark. joc@dst.dk.ORCID http://orcid.org/0000-0002-0037-1747
Torben Heien NielsenDepartment of Economics, Center for Economic Behavior and Inequality, University of Copenhagen, Copenhagen, Denmark.
Claus Thorn EkstrømSection of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
University of Copenhagen · DK

Funding

Danmarks Grundforskningsfond DNRF134Novo Nordisk Fonden NNF17OC0026542Novo Nordisk Fonden NNF17OC0027812
6 · The paper itself

Abstract

We examine the causal effect of early retirement on medication use using Danish registry data. A reform in early retirement schemes in 2006 gradually increased eligibility ages from 60 to 64 differentially across birth cohorts. This enables an instrumental variable design that was applied using novel g-estimation methods that alleviate bias in binary outcome IV models. Our data allow studying patterns in the short run (ages 59½-60½) and in the long run (ages 57-63). For those who were eligible already at age 60, retirement did not change overall medication use. However, when investigating medication and population subgroups, we see that painkiller use decreases and hypertension medication as well as mental health medication use increase after retirement in almost all population subgroups. Moreover, males as well as the blue-collar occupation subgroups do show decreases in overall medication use after early retirement. In conclusion, our analyses reveal that retirement can have important heterogeneous health effects across population groups and are potentially informative about the welfare benefits of social insurance more broadly.

Indexed as

OccupationsRetirementAge FactorsAnalgesicsDenmarkFemaleHumansMaleMiddle AgedRegistriesSex FactorsAnalgesicsCausal effectHealthInstrumental variableMedicationRetirement

Identifiers

PMID38472724
OpenAlexW4392755187

What OpenQuestion holds

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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.