Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Primary mental health continuity
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 pr...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English English |
| Published: |
Department of Public Health and Family Medicine
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613196172394496 |
|---|---|
| access_status_str | Open Access |
| author | Peters, Shrikant Maurice |
| author2 | Shung-King, Maylene |
| author_browse | Peters, Shrikant Maurice Shung-King, Maylene |
| author_facet | Shung-King, Maylene Peters, Shrikant Maurice |
| author_sort | Peters, Shrikant Maurice |
| collection | Thesis |
| description | 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. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/43182 |
| institution | University of Cape Town (South Africa) |
| language | English eng |
| last_indexed | 2026-06-10T12:32:17.361Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | Department of Public Health and Family Medicine |
| publisherStr | Department of Public Health and Family Medicine |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/43182 Primary mental health continuity Peters, Shrikant Maurice Shung-King, Maylene Schneider, Marguerite Cape Town Health sub-district Van Olmen Health System Dynamics Framework 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. 2026-05-06T08:27:52Z 2026-05-06T08:27:52Z 2023 2026-05-06T06:43:24Z Thesis / Dissertation Masters Masters http://hdl.handle.net/11427/43182 en eng application/pdf Department of Public Health and Family Medicine Faculty of Health Sciences University of Cape Town |
| spellingShingle | Cape Town Health sub-district Van Olmen Health System Dynamics Framework Peters, Shrikant Maurice Primary mental health continuity |
| thesis_degree_str | Master's |
| title | Primary mental health continuity |
| title_full | Primary mental health continuity |
| title_fullStr | Primary mental health continuity |
| title_full_unstemmed | Primary mental health continuity |
| title_short | Primary mental health continuity |
| title_sort | primary mental health continuity |
| topic | Cape Town Health sub-district Van Olmen Health System Dynamics Framework |
| url | http://hdl.handle.net/11427/43182 |
| work_keys_str_mv | AT petersshrikantmaurice primarymentalhealthcontinuity |