A pre-post pilot feasibility study of the MindBia web-based nutrition intervention for individuals with severe mental illness: Study protocol

People living with severe mental illness experience substantial health inequalities and high rates of premature mortality, largely driven by modifiable lifestyle-related risk factors, including poor diet quality. Digital technologies may provide scalable and flexible opportunities to support healthier behaviours; however, few interventions have specifically targeted nutrition-related outcomes as a primary focus in this population. MindBia is a co-designed, web-based digital nutrition intervention consisting of six structured modules developed for individuals residing in high-support mental health hostels. The intervention was informed by prior studies with service users and mental health staff. This pilot study aims to evaluate the feasibility, acceptability, and preliminary effectiveness of the MindBia intervention over eight weeks. A mixed-method pre-post design will be employed. Participants will complete baseline and post-intervention assessments examining dietary behaviours, digital literacy, and general wellbeing. Engagement with the web-based application will be monitored using embedded usage analytics. Semi-structured interviews conducted post-intervention will explore participants’ experiences, perceived impact, and barriers to engagement. Findings from this pilot study will inform refinement of the MindBia web-based application and guide the design of a larger scale trial evaluating its overall effectiveness.

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Journal
PLOS Digital Health
Published
2026-09-25
DOI
https://doi.org/10.1371/journal.pdig.0001756
Primary Topic
Digital Mental Health Interventions
Type
article
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article

A pre-post pilot feasibility study of the MindBia web-based nutrition intervention for individuals with severe mental illness: Study protocol

Diarmuid Boyle, Alison Merrotsy, Tara C. Coppinger, Indika Dhanapala et al.
PLOS Digital Health
Digital Mental Health Interventions
article

A pre-post pilot feasibility study of the MindBia web-based nutrition intervention for individuals with severe mental illness: Study protocol

Diarmuid Boyle, Alison Merrotsy, Tara C. Coppinger, Indika Dhanapala, Ciara O’Sullivan
article en

Abstract

People living with severe mental illness experience substantial health inequalities and high rates of premature mortality, largely driven by modifiable lifestyle-related risk factors, including poor diet quality. Digital technologies may provide scalable and flexible opportunities to support healthier behaviours; however, few interventions have specifically targeted nutrition-related outcomes as a primary focus in this population. MindBia is a co-designed, web-based digital nutrition intervention consisting of six structured modules developed for individuals residing in high-support mental health hostels. The intervention was informed by prior studies with service users and mental health staff. This pilot study aims to evaluate the feasibility, acceptability, and preliminary effectiveness of the MindBia intervention over eight weeks. A mixed-method pre-post design will be employed. Participants will complete baseline and post-intervention assessments examining dietary behaviours, digital literacy, and general wellbeing. Engagement with the web-based application will be monitored using embedded usage analytics. Semi-structured interviews conducted post-intervention will explore participants’ experiences, perceived impact, and barriers to engagement. Findings from this pilot study will inform refinement of the MindBia web-based application and guide the design of a larger scale trial evaluating its overall effectiveness.

PLOS Digital HealthVol. 5(9)
Health Service Executive (IE), Munster Technological University (IE)
Quality Education
Openalex Percentile: Top 9%
Digital Mental Health Interventions
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A pre-post pilot feasibility study of the MindBia web-based nutrition intervention for individuals with severe mental illness: Study protocol — Diarmuid Boyle, Alison Merrotsy, et al. · PLOS Digital Health (2026) | TGRS Research Map | TGRS