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COMplex mental health PAThways (COMPAT) Study: A mixed methods study to inform an evidence-based service delivery
Pooja Saini1, Antony Martin2, Jason McIntyre1
1Faculty of Health, Liverpool John Moores University, Liverpool, United Kingdom.
This study protocol outlines a mixed-methods evaluation of complex mental health needs in adults. It aims to improve service delivery models for better patient outcomes and economic impact.
Area of Science:
- Mental Health Research
- Health Services Research
- Complex Needs Care
Background:
- Current adult mental health services primarily offer community-based interventions.
- A subset of patients with complex clinical and/or risk needs require specialized service delivery models.
- There is a pressing need to identify optimal service models for individuals with complex mental health needs.
Purpose of the Study:
- To profile and understand the history of service users with complex needs.
- To analyze clinicians' decision-making processes in categorizing complex needs.
- To evaluate service user and carer experiences and the associated economic impact.
Main Methods:
- Employing a mixed-methods design combining quantitative and qualitative approaches.
- Analyzing patient records, clinical notes, and conducting in-depth interviews with users, carers, and clinicians.
- Including components on demographic/clinical characteristics, economic evaluation, user/carer experiences, vignette co-production, and clinician decision-making.
Main Results:
- The study will examine resource use and cost-impact of alternative care pathways across health and social care sectors.
- It will explore patient health and non-health outcomes linked to various care pathways.
- An in-depth understanding of complex service user groups and treatment decision-making will be achieved.
Conclusions:
- Findings will inform the development of evidence-based, person-centered service delivery models for complex mental health needs.
- This research aims to enhance consistency and effectiveness in managing complex cases.
- The study will provide crucial insights into optimizing mental healthcare for vulnerable populations.
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