Evidence map›Paper›PMID 40096071›Full record

ArticlePLOS global public health2025

Impact of workforce characteristics and monetary incentives on uptake of health and wellbeing initiatives in the United Kingdom.

Adejoke Edet, Laura Kudrna, Laura Quinn

Abstract read
In one paragraph

Article in PLOS global public health, 2025. 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

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

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5 · Who and what money

Authors and funding

3 authors.

Adejoke EdetMedicine and Occupational Health, EPCo Ltd, Fawley, United Kingdom.ORCID https://orcid.org/0009-0009-9414-055X
Laura KudrnaDepartment of Applied Health Sciences, University of Birmingham, Birmingham, United Kingdom.ORCID https://orcid.org/0000-0002-8163-7112
Laura QuinnDepartment of Applied Health Sciences, University of Birmingham, Birmingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are economic and social benefits associated with promoting the health and wellbeing (HWB) of workers. The workplace is an important setting for HWB promotion, however, small and medium size enterprises (SMEs) are less likely to offer these programmes. Uptake is also uneven across demographic groups, contributing to inequalities outcomes. This study investigates if uptake of HWB promotion programmes in SMEs differs by employee demographics and if these factors interact with the effectiveness of organisational-level monetary incentives to improve uptake. In a secondary analysis of quantitative data from a cluster-randomised controlled trial, multilevel logistic regression models were fitted to examine the relationship between the outcome (uptake of HWB initiatives) and employee demographics (age, gender, ethnicity, education level). Models included interactions between the trial arm (monetary incentive or control) and employee demographics. Results showed that employees in the incentive arm had similar uptake of HWB initiatives compared to the control (adjusted OR 1.11, CI 0.72, 1.70, p = 0.64). In tests of the demographic factors, employees 55+ years had 56% lower odds of uptake (CI 0.25, 0.76, p = 0.003) compared to employees aged 17 to 24 years and these results were robust to treating age as a continuous variable. There were no statistically significant interactions between the incentive and the other employee demographic groups for the uptake of HWB initiatives. Organisational-level monetary incentives do not appear to differ in their effectiveness according to employee demographics, although some sub-groups appeared under-represented in the trial including ethnic minorities and those with education below degree-level. Older workers in SMEs may be less likely to engage in workplace HWB initiatives and could be targeted in terms of workplace HWB implementation, policy, and research.

Identifiers

PMID40096071
PMCPMC11913281

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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.