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WhySchool project: effects of a school-based mental health literacy programme on teachers and school health professionals

Published online by Cambridge University Press:  06 July 2026

Joana Moreira*
Affiliation:
EPIUnit ITR, Institute of Public Health, University of Porto, Portugal Department of Public Health and Forensic Sciences, and Medical Education, Faculty of Medicine, University of Porto, Portugal
Virgínia Conceição
Affiliation:
EPIUnit ITR, Institute of Public Health, University of Porto, Portugal Department of Public Health and Forensic Sciences, and Medical Education, Faculty of Medicine, University of Porto, Portugal
Lars Mehlum
Affiliation:
National Centre for Suicide Research and Prevention, Institute of Clinical Medicine, University of Oslo, Norway
Stanley Kutcher
Affiliation:
Department of Psychiatry, Faculty of Medicine, Dalhousie University, Canada
Ricardo Gusmão
Affiliation:
EPIUnit ITR, Institute of Public Health, University of Porto, Portugal Department of Public Health and Forensic Sciences, and Medical Education, Faculty of Medicine, University of Porto, Portugal
*
Correspondence: Joana Moreira. Email: up201405192@up.pt
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Abstract

Background

Adolescent mental health is a growing public health concern due to the high prevalence of mental disorders, many of which remain unrecognised and untreated. School staff are strategically positioned to promote mental health, recognise mental health problems and support pathways into care, but often lack sufficient mental health literacy (MHL) and confidence to act.

Aims

This study evaluated the effects of the WhySchool project, a school-based programme to promote MHL among teachers and school health professionals (SHPs).

Method

We implemented WhySchool in 72 public middle and high schools across Portugal through a cascade training approach. With a pre–post design, we assessed 788 teachers and 201 SHPs on mental health knowledge (MHK), personal depression stigma, openness to seeking help and confidence in identifying/referring students. Paired-sample t-tests with Cohen’s d estimated changes, and generalised linear mixed models (GLMMs) accounted for confounders and within-subject variability.

Results

The programme was associated with significant improvements in all outcomes across both professional groups, with moderate-to-large effect sizes (MHK d = 1.12 (95% CI 1.04 to 1.20); stigma d = −1.05 (95% CI −1.12 to −0.97); openness d = 0.44 (95% CI 0.37 to 0.51); confidence d = 0.87 (95%CI 0.79 to 0.94)). GLMMs confirmed these results. Gains varied across professional groups and demographic characteristics, with those having lower baseline scores generally benefiting most.

Conclusions

The WhySchool resulted in observable improvements in teachers’ and SHPs’ MHL, including increased knowledge, reduced stigma, improved help-seeking attitudes and strengthened confidence to support students. The cascade model provides a viable and sustainable strategy for large-scale implementation, empowering educational communities to better support student mental health.

Information

Type
Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of Royal College of Psychiatrists
Figure 0

Table 1 Main participant characteristicsTable 1 long description.

Figure 1

Table 2 Baseline and post-training analysis of MHK, pers DSS, openness and confidence by profession and training levelTable 2 long description.

Figure 2

Table 3 Final generalised linear mixed models for each outcome score by profession and training levelTable 3 long description.

Figure 3

Table 4 Estimated means, standard errors and paired analysis of MHK, pers DSS, openness and confidence at baseline and post-training from time interactions from GLMMsTable 4 long description.

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