Primary mental health continuity

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dc.contributor.advisorShung-King, Maylene
dc.contributor.advisorSchneider, Marguerite
dc.contributor.authorPeters, Shrikant Maurice
dc.date.accessioned2026-05-06T08:27:52Z
dc.date.available2026-05-06T08:27:52Z
dc.date.issued2023
dc.date.updated2026-05-06T06:43:24Z
dc.description.abstractBackground: There is a 40% lifetime prevalence of mental illness in the Western Cape province of South Africa, placing significant pressure on the healthcare system (Herman et al, 2009). Postdischarge continuity of mental healthcare is poor in low-and middle-income settings yet is foundational to preventing relapse, the extent and causes of which are unknown in South Africa. Methods: This mixed methods study examined continuity rates and underlying factors for mental healthcare users discharged from an in-patient district hospital service to primary care in a Cape Town Health sub-district. First, six purposively sampled interviews were conducted with managers and clinicians. Thereafter, retrospective data analysis of 5 818 patients discharged from 01/01/2015 to 31/12/2020 was conducted to determine Continuity, Readmission and Loss to Follow-Up Rates by univariate and bivariate data analysis. Codes and data generated from this were reviewed in a focus group discussion with four primary care Mental Health Nurses. Themes and indicators generated from the different phases were analysed using the Van Olmen Health System Dynamics Framework. Results: Two-thirds of patients (66.6%) had no contact within 30 days of discharge, less than a quarter (24.7%) had attended a clinic visit, and a minority (8.7%) were readmitted. Discontinuity was higher in males, those of working age and in higher income groups. Individual-level barriers to continuity of care included diagnostic complexity, severity and co-morbidity, whilst health system barriers included lack of mental health nurses at certain clinics, cross-district referral complexities, and poor collaboration within facilities and with community-based services, and contextual barriers included violent crime, gangsterism and substance abuse. A paucity of diagnostic coding data and concerns regarding incomplete attendance capturing called into question the validity of the indicators generated. Conclusion: Based on available data, the mental health service in the sub-district under study had poor postdischarge continuity of care, signaling the need for an integrated district mental health services policy, with quality-controlled care continuity indicators. Mixed methods research techniques allowed for the qualitative exploration and explanation of poor continuity. Further research is required which focuses on high-risk groups for poor continuity, and the quality of data collection, analysis and reporting in health districts. Key Words: Primary Mental Healthcare, Continuity of Care, Loss to Follow Up, Readmission, Disengagement from Care.
dc.identifier.apacitationPeters, S. M. (2023). <i>Primary mental health continuity</i>. (). University of Cape Town ,Faculty of Health Sciences ,Department of Public Health and Family Medicine. Retrieved from http://hdl.handle.net/11427/43182en_ZA
dc.identifier.chicagocitationPeters, Shrikant Maurice. <i>"Primary mental health continuity."</i> ., University of Cape Town ,Faculty of Health Sciences ,Department of Public Health and Family Medicine, 2023. http://hdl.handle.net/11427/43182en_ZA
dc.identifier.citationPeters, S.M. 2023. Primary mental health continuity. . University of Cape Town ,Faculty of Health Sciences ,Department of Public Health and Family Medicine. http://hdl.handle.net/11427/43182en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Peters, Shrikant Maurice AB - Background: There is a 40% lifetime prevalence of mental illness in the Western Cape province of South Africa, placing significant pressure on the healthcare system (Herman et al, 2009). Postdischarge continuity of mental healthcare is poor in low-and middle-income settings yet is foundational to preventing relapse, the extent and causes of which are unknown in South Africa. Methods: This mixed methods study examined continuity rates and underlying factors for mental healthcare users discharged from an in-patient district hospital service to primary care in a Cape Town Health sub-district. First, six purposively sampled interviews were conducted with managers and clinicians. Thereafter, retrospective data analysis of 5 818 patients discharged from 01/01/2015 to 31/12/2020 was conducted to determine Continuity, Readmission and Loss to Follow-Up Rates by univariate and bivariate data analysis. Codes and data generated from this were reviewed in a focus group discussion with four primary care Mental Health Nurses. Themes and indicators generated from the different phases were analysed using the Van Olmen Health System Dynamics Framework. Results: Two-thirds of patients (66.6%) had no contact within 30 days of discharge, less than a quarter (24.7%) had attended a clinic visit, and a minority (8.7%) were readmitted. Discontinuity was higher in males, those of working age and in higher income groups. Individual-level barriers to continuity of care included diagnostic complexity, severity and co-morbidity, whilst health system barriers included lack of mental health nurses at certain clinics, cross-district referral complexities, and poor collaboration within facilities and with community-based services, and contextual barriers included violent crime, gangsterism and substance abuse. A paucity of diagnostic coding data and concerns regarding incomplete attendance capturing called into question the validity of the indicators generated. Conclusion: Based on available data, the mental health service in the sub-district under study had poor postdischarge continuity of care, signaling the need for an integrated district mental health services policy, with quality-controlled care continuity indicators. Mixed methods research techniques allowed for the qualitative exploration and explanation of poor continuity. Further research is required which focuses on high-risk groups for poor continuity, and the quality of data collection, analysis and reporting in health districts. Key Words: Primary Mental Healthcare, Continuity of Care, Loss to Follow Up, Readmission, Disengagement from Care. DA - 2023 DB - OpenUCT DP - University of Cape Town KW - Cape Town Health sub-district KW - Van Olmen Health System Dynamics Framework LK - https://open.uct.ac.za PB - University of Cape Town PY - 2023 T1 - Primary mental health continuity TI - Primary mental health continuity UR - http://hdl.handle.net/11427/43182 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/43182
dc.identifier.vancouvercitationPeters SM. Primary mental health continuity. []. University of Cape Town ,Faculty of Health Sciences ,Department of Public Health and Family Medicine, 2023 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/43182en_ZA
dc.language.isoen
dc.language.rfc3066eng
dc.publisher.departmentDepartment of Public Health and Family Medicine
dc.publisher.facultyFaculty of Health Sciences
dc.publisher.institutionUniversity of Cape Town
dc.subjectCape Town Health sub-district
dc.subjectVan Olmen Health System Dynamics Framework
dc.titlePrimary mental health continuity
dc.typeThesis / Dissertation
dc.type.qualificationlevelMasters
dc.type.qualificationlevelMasters
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