Evidence map›Paper›PMID 40941550›Full record

ArticleHealthcare (Basel, Switzerland)2025

Predictors of Return to Work After Stroke in Hungary: A Mixed-Methods Economic and Clinical Data Analysis.

Arie Arizandi Kurnianto, Sándor Kovács, Nagy Ágnes

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

3 authors.

Arie Arizandi KurniantoCenter for Health Technology Assessment and Pharmacoeconomic Research, Faculty of Pharmacy, University of Pécs, H-7624 Pécs, Hungary.ORCID 0000-0002-5779-0934
Sándor KovácsCenter for Health Technology Assessment and Pharmacoeconomic Research, Faculty of Pharmacy, University of Pécs, H-7624 Pécs, Hungary.ORCID 0000-0002-6911-0537
Nagy ÁgnesCenter for Health Technology Assessment and Pharmacoeconomic Research, Faculty of Pharmacy, University of Pécs, H-7624 Pécs, Hungary.ORCID 0000-0002-6846-5301

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReturn to work (RTW) is a fundamental aspect of recovery after stroke, importantly, for workers of working age. Evidence indicates there is little known about the clinical and systematic predictors of RTW in Hungary. We aimed to determine the independent predictors of RTW for stroke survivors using aggregate hospital data and expert opinion.

methodsA mixed-method study using aggregated national level administrative data from the Pulvita platform (the National Health Insurance Fund of Hungary) and expert interpretation from the physicians who treat stroke survivors. The data analyzed 13,572 inpatient records for stroke hospitalizations from 2015-2024 across Hungarian counties.

resultsStroke severity, cognitive and psychological recovery, and presence of comorbidities were important clinical predictors of RTW. Rehabilitation intensity was greater for people aged 51-65 years, and work-age men appeared to have slightly better access to rehabilitation compared to work-aged women. Patients accessed more medical rehabilitation services than they did occupational or psychosocial services. Access to rehabilitation services may have varied geographically, with patients in counties such as Budapest and Pest having better access due to higher provider availability and cross-county patient movement. In addition, economic extrapolations from the literature on post-stroke care costs may have introduced bias in estimating annual social productivity losses, reported as EUR 19,953 per patient.

conclusionsClinical and economic factors both impact RTW potential among stroke survivors in Hungary. Although rehabilitation intensity can indicate likelihood of RTW, the lack of a national RTW program acts as a significant barrier to RTW for stroke survivors. This study suggests a need for integrated rehabilitation and RTW systems, with associated future research linking clinical, economic, and labor market status data to develop effective and efficient policy for stroke survivors.

Indexed as

economic evaluationoccupational medicinerehabilitationreturn to workstroke

Identifiers

PMID40941550
PMCPMC12428162

What Socratic holds

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LicenceCC BY
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