People with serious mental illnesses (SMIs) (e.g., schizophrenia, major depressive disorder, bipolar disorder) receive inadequate medical care, which is associated with high rates of avoidable morbidity and premature mortality. Assertive Community Treatment (ACT) is an evidence-based service delivery model that provides intensive mental and social health support to clients with SMI. It has been suggested that ACT should provide primary care services to address client physical health, however, initiatives towards this and their implications are not well understood. I used a case study approach and semi-structured interviews to explore five ACT teams in the Ottawa region to discover team members’ mental models of primary care, relationships with external primary care providers, and the perceived impact COVID-19 has had on these mental models. I used Shared Mental Model (SMM) theory to frame data collection and a thematic analysis. The results showed that ACT team members similarly perceived primary care as important for the holistic health of their clients. They described ACT’s psychosocial scope and how they support clients’ access to external primary care services and their work to mitigate barriers. Teams did not share mental models about the basic primary care services they provided or which roles delivered them, due to differences in context and team members’ comfort. Team members also did not share beliefs about the future of ACT and primary care integration. Finally, the COVID-19 pandemic changed and challenged primary care delivery, with beliefs becoming more negative overall. This thesis provides insight into how primary care could be delivered to ACT clients and where challenges and improvements can be addressed.
| Identifer | oai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/44233 |
| Date | 04 November 2022 |
| Creators | Thelen, Rachel |
| Contributors | Grudniewicz, Agnieszka |
| Publisher | Université d'Ottawa / University of Ottawa |
| Source Sets | Université d’Ottawa |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
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