Evidence map›Paper›PMID 41525010›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2026

The effect of age-specific stay-at-home recommendation on healthcare utilization: Evidence from Finland's COVID-19 policy.

Jukka Laaksonen, Mika Kortelainen, Henri Salokangas

Abstract read
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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.

Jukka LaaksonenINVEST Research Flagship Centre, Finnish Institute for Health and Welfare, Helsinki, Finland. jukka.e.laaksonen@thl.fi.ORCID http://orcid.org/0009-0006-3549-9704
Mika KortelainenINVEST Research Flagship Centre, Finnish Institute for Health and Welfare, Helsinki, Finland.
Henri SalokangasINVEST Research Flagship Centre, Finnish Institute for Health and Welfare, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postponements of non-acute care during the COVID-19 pandemic commonly raised concerns about harmful health consequences and increased healthcare costs, particularly among older individuals. Using nationwide register data from Finland, we employ a regression discontinuity design to examine the effect of an age-specific stay-at-home recommendation on healthcare utilization during the first wave of the pandemic. We find that the recommendation reduced non-acute visits, such as dental care, physiotherapy, and specialized care visits, but had no effect on acute care use, including emergency department visits or inpatient stays. The reductions in dental care use were partly compensated for after the lockdown was lifted, but not in other non-acute services. Additionally, we find indicative evidence of a slight increase in mortality during the three-months post-period after the lockdown. Our findings suggest that a Scandinavian-type social distancing recommendation targeting the elderly may reduce non-acute healthcare use in the short term, thereby temporarily alleviating pressure on healthcare resources during a pandemic. However, the absence of rebound in some non-acute services highlight potential unmet needs, which may imply longer-term risks of functional decline, preventable hospitalizations, and associated healthcare costs. These findings point to the importance of policies that ensure continued access to essential non-acute care for older populations.

Indexed as

COVID-19Patient Acceptance of Health CareAdolescentAdultAgedAged, 80 and overAge FactorsChildChild, PreschoolFemaleFinlandHealth PolicyHospitalizationHumansInfantMaleCOVID-19Healthcare useQuasi-experimental designRegression discontinuity designSocial distancing

Identifiers

PMID41525010
PMCPMC13451247

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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.