Browsing by Author "Sukeri, K."
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- ItemNeeds-based gap analysis for service transformation in the Eastern Cape(AOSIS Publishing, 2015) Sukeri, K.; Alonso-Betancourt, O.; Emsley, R.Objectives. Part I of this research article presents a needs-based analysis for the management of schizophrenia, bipolar mood disorder and major depression for the Eastern Cape (EC) Province, South Africa. This part of the research paper focuses on quantifying human resources and bed needs for these three severe mental illnesses. Human resource expenditure is calculated for nursing staff at acute, ambulatory and medium-to-long-stay services. A further objective was to conduct a gap analysis for human resources and beds for the EC in order to assist mental health planners in the commissioning of services. Methods. Data from previous research conducted in the province, and international and national epidemiological studies were utilised to quantify the requirements for human resources (psychiatrists, medical officers/registrars, psychologists, nurses, occupational therapists and social workers) and beds for acute, medium-to-long-stay and ambulatory services at provincial and regional levels, to provide mental healthcare. The authors focused on three of the eight priority conditions set by the World Health Organization. A target coverage rate of 80% was used in all calculations. A gap analysis was conducted to demonstrate deficits and excesses, utilising available data on human resources and beds available in the province. Results. The results showed that the districts of Alfred Nzo and Ukhahlamba have no human resources or beds for the provision of mental health services. The province has a deficit of 23 psychiatrists and 243 nurses trained in psychiatry, and an oversupply of 486 other nurses. The results also clearly demonstrated an inequitable distribution of resources in the province. Conclusions. This is the first study that has provided detailed estimates of human resource and bed deficits in the EC. The study demonstrates that the areas of greatest need in terms of bed and human resource requirements are in the eastern regions of the province, which includes the former homelands of the Transkei and Ciskei. This study will assist provincial mental health planners/commissioners in developing an equitable mental health delivery programme.
- ItemService transformation plans in the Eastern Cape informed by a needs-based gap analysis(AOSIS Publishing, 2015) Sukeri, K.; Alonso-Betancourt, O.; Emsley, R.Objectives. Part I of this research paper presented a needs and gap analysis for the management of schizophrenia, bipolar mood disorder and major depression for the Eastern Cape Province, South Africa. It identified deficits and inequitable distribution of human resources and beds in the province. In this article, Part II, the authors propose a plan for public sector mental health services to address the human resource needs in the poorer eastern regions of the province. The plan focuses on human resource training and development. Methods. Evidence-based data on staff development in mental health from low-middle income countries were utilised to develop strategies to increase staff capacity to address unmet need. A financing model with a poverty index was developed to sustain a needs-based plan. Databases searched included Pubmed, Medline, Google and Google Scholar. The key words used included: mental health, mental health training, mental health resources, mental health in low-middle-income countries, mental health policy and plans, mental health needs- based planning, primary healthcare, primary mental healthcare, mental health financing. In addition the websites of the World Health Organization and the World Psychiatric Association were searched for similar resources. Conclusions. It is feasible, with careful attention to planning and implementation of evidence-based tools, to improve public mental health service delivery in this province. Sustained political will and professional commitment will ensure successful delivery of mental health services in a resource-limited province.