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Function: pubMedSearch_Global
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Countries around the world are experiencing both a growing need for mental health services and major gaps in the delivery of mental healthcare. The World Health Organisation's 2022 report on mental health emphasised co-designed and systems-level innovations responsive to the voice of those with lived experience. However, evidence for implementing such methodologies is sparse. Group model building (GMB), a participatory systems-based approach, has been used in various fields, but its application is limited within mental healthcare settings. It is recognised as a valuable tool for engaging stakeholders, including those with lived experience, in understanding and redesigning health systems and services. The participatory approach aligns with the mental health sector's shift towards co-design and person-centred care. This study assessed the acceptability of GMB as a method for co-design within mental healthcare, aiming to explore its potential for meaningful collaborative improvement and systems-level insights. Participants from a regional Mental Health and Drug and Alcohol Service (MHDAS) engaged in GMB workshops and focus groups. Eighteen individuals, including lived experience workers and healthcare professionals, provided feedback that informed adjustments to the workshops' design, language, timing and facilitation techniques, enhancing GMB's relevance for mental health co-design. The findings demonstrate the value and acceptability of the adapted GMB process in acute mental healthcare, marking a significant step towards evidence-based, person-centred service improvement. This study highlights the potential effectiveness of participatory methods in identifying and addressing systemic challenges, paving the way for future mental health reforms. Future work will focus on implementing and evaluating co-designed interventions, aiming for more inclusive and effective mental healthcare and advancing innovation and reform in the field.
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Source |
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http://dx.doi.org/10.1111/inm.13451 | DOI Listing |
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