Evidence map›Paper›PMID 41544005›Full record

ArticlePloS one2026

Increasing the working hours of nurses and teachers: Evidence from a discrete choice experiment.

Melline Somers, Tom Stolp, Francesca Burato, Wim Groot, Frits van Merode, Melvin Vooren

Abstract read
In one paragraph

Article in PloS one, 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

6 authors.

Melline SomersResearch Centre for Education and the Labour Market, Maastricht University, Maastricht, the Netherlands.ORCID https://orcid.org/0000-0002-4814-2898
Tom StolpResearch Centre for Education and the Labour Market, Maastricht University, Maastricht, the Netherlands.
Francesca BuratoResearch Centre for Education and the Labour Market, Maastricht University, Maastricht, the Netherlands.
Wim GrootMaastricht Graduate School of Governance, Maastricht University, Maastricht, the Netherlands.
Frits van MerodeCare and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands.
Melvin VoorenDepartment of Educational and Family Studies, Faculty of Behavioral and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The healthcare and education sectors suffer from shortages of nurses and teachers. Extending their working hours has often been proposed as a solution to reduce shortages. In this study, we conduct a discrete choice experiment (DCE) in the Netherlands to elicit nurses' and teachers' preferences for different jobs and working conditions. We present both nurses and teachers with nine hypothetical choice sets, each consisting of two jobs that differ in seven observable job attributes. From the DCE, we infer workers' willingness to pay for these different job characteristics. Moreover, we calculate how many additional hours they would be willing to work if a specific workplace condition were met. We find that both nurses and teachers most negatively value high work pressure. Spending a lot of time on patient-related tasks is highly valued by nurses, followed by having more control over working hours. Next to work pressure, teachers place significant importance on receiving social support from both colleagues and managers. Part-time teachers and nurses require a 23 and 21 percent increase in net hourly wages to accept a full-time working contract, respectively.

Indexed as

Choice BehaviorNursesWorkloadAdultFemaleHumansMaleNetherlandsSalaries and Fringe BenefitsSurveys and QuestionnairesWorking ConditionsWorkplace

Identifiers

PMID41544005
PMCPMC12810815

What OpenQuestion holds

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LicenceCC BY
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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.