Using theory of change to better address social and economic needs in mental health services
Bibliographic record
Abstract
INTRODUCTION: Social and economic needs are greater in populations living with mental ill-health compared with the general population. However, these needs are often not routinely or adequately assessed in practice, and there is a lack of corresponding support available for a range of social and economic needs. A practical roadmap is required to work towards social and economic inclusion as a central component of mental health services. METHODS: We used the participatory Theory of Change method to conduct two qualitative workshops with health care professionals, third-sector providers, academics and lived experience experts (Workshop 1, n = 16; Workshop 2, n = 14) in the area served by the South London and Maudsley NHS Trust. We co-developed a Theory of Change model which aimed to outline the key steps needed to put social inclusion at the centre of mental health care services in relation to the largest mental health Trust in the United Kingdom, yet with generalisable elements for mental health services in the United Kingdom more broadly. RESULTS: A shared goal for services was developed and agreed by participants of securing "a consistent mental health system that enables individuals to feel loved, valued, and capable of thriving beyond their basic needs". To progress from the current context to this shared goal, six objective pathways were co-produced to act as a roadmap: (1) Provision of person-centred culturally appropriate care; (2) Advocacy for funding for effective social inclusion services in line with need; (3) Advocacy for funding and support of social and peer programmes; (4) Co-located and localised community-based support hubs; (5) A shared feedback system with social inclusion Key Performance Indicators (KPIs) with an ability to include positive outcomes and drive accountability; and (6) A collaborative community service network. CONCLUSIONS: This Theory of Change model offers a tangible framework to put social inclusion at the centre of mental health services. This model can be adapted and translated to other services and settings that are aiming to make social inclusion a core feature of their provision, beyond those in which it was developed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.052 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.005 | 0.032 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".