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Development of a model to support reintegration of male state patients into their families in Limpopo Province, South AfricaLavhelani, Ndivhaleni Robert 16 May 2019 (has links)
PhD (Nursing Science) / Department of Advanced Nursing Science / State patients are admitted to the psychiatric hospital after being declared as such by a court of law in South Africa. After successful rehabilitation of state patients at the psychiatric hospital, they need to be reintegrated into their families. Perceptions of family members of male state patients regarding reintegration including development of a model to support such reintegration, is not largely explored in the scientific body of knowledge. The aim of this study was to develop a model to support reintegration of state patients into their families in Limpopo Province, South Africa. A qualitative approach using descriptive, explorative, and contextual designs was adopted for this study. The study population was family members whose relatives are male state patients admitted and recorded in the admission register of Hayani Hospital, in Limpopo Province. The study was conducted in two phases of which phase one was a situational analysis, and phase two was the development of the model to reintegrate male state patients into their families. This study was conceptualized within the Social Ecological Model (SEM) of human behaviour (Stokols, 2013), the grounded theory for model development outlined in Dickoff et al. (1968), and the approaches outlined in Chinn and Kramer (2008); Walker and Avant (1995). Model evaluation was done by a group of health professionals, some of whom are advanced psychiatric nurses who are doing masters and doctoral studies, and one doctoral graduate who is also an advanced psychiatric nurse. Presentations were made to this group during peer review sessions who in turn gave critical comments regarding the developed model to support reintegration of male state patients until the final model was accepted. Non-probability purposive and convenient sampling were used to sample a hospital and 10 family members of Venda-speaking male state patients. In-depth individual interviews were used as the instrument to collect data which was pretested on one family member who did not form part of the study. Data was analysed using thematic analysis approach. Data was co-coded by an independent doctoral degree graduate to ensure trustworthiness. Conducting home visits by health professionals came up strongly during data analysis. Credibility, dependability, confirmability and transferability to ensure trustworthiness of the study, as well as ethical considerations were adhered to. The findings of the study yielded two themes, being perceptions of participants regarding reintegration of male state patients, and perceptions of participants
regarding the support needed from family members to reintegrate male state patients. During phase one, the results indicated that family members accept reintegration and also that they indicated the kind of support needed, that lead to phase two of developing a model to reintegrate male state patients. The study was restricted to only one hospital in the Vhembe District out of the five districts of the Limpopo Province.The researcher acknowledges that this study was contextual and that only family members of male state patients were interviewed, the perceptions of family members of female state patients were not heard. The study concluded that there are perceptions that family members of male state patients have regarding reintegration of these patients into their families. Furthermore, family members of male state patients can describe the kind of support that they need in order to reintegrate male state patients into their families. This should be done using the developed model that should involve family members and the community. The study recommends that psychiatric hospitals should implement the model involving family members of male state patients. Furthermore, a longitudinal study should be conducted for a period of 3-5 years to check the effectiveness of the model. / NRF
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