Advances in breast cancer detection and oncology treatment modalities have prolonged the survival time for the cancer population, which is officially the largest group of cancer survivors among women in the western world, including South Africa (Brem & Kumar, 2011; Fisher, Dolbeault, Sultan & Bredart, 2014; Herbst, 2011; Reyes-Gibby, et al., 2012). In the light of shocking statistics and ever rising numbers of cancer, especially breast cancer, the time is ripe for further research in the domain of psycho-oncology and has motivated the researcher, due to her interest and involvement in breast cancer, to make this her field of research. Despite the need for a bio-psycho-social approach when treating cancer patients there is little literature available on the psychological interventions in South Africa where the majority of research studies previously conducted in South Africa have generally focused on the bio-medical aspects of cancer (Albrecht, 2009; Venter, 2014). To comprehend the paradigm of psycho-oncology, which is the backbone of this study, a theoretical framework was attained from Engel’s humanistic or psychological model (caring) and Pasteur’s biomedical model (curing) (Borrel-Carrio, Suchman, & Epstein, 2004). The primary aim of this study was to explore the lived experiences of breast cancer patients concerning their diagnosis, treatment and survivorship and unique needs for psycho-oncological interventions through their own “voices”. The research was conducted within a qualitative framework with a case study method of inquiry employing open-ended style interviews and psychotherapeutic sessions with five purposely sampled breast cancer patients. Two qualitative questionnaires were also used for triangulation purposes. Transcripts of all the therapeutic sessions were analysed using interpretive analysis where categories and themes were developed and described in full. Findings indicated that in spite the extensive proof that breast cancer causes numerous sexual and psychological complications during active treatment and afterwards, patients still feel that they have no “platform” to express their emotions and sexual issues within the oncology framework, or that there is enough and sufficient assistance to attend to their needs. e The researcher hopes that this study will make a valuable contribution to research in the field of psycho-oncology in South Africa and to indicate new realities of the chronicity of breast cancer and treatment complications that demand psychotherapeutic interventions in cancer care and that the study will initiate new ways of understanding the role of psychology and the psychologist in the medical world of cancer. The researcher hopes that by offering an understanding of participants’ unique experiences of this process, practitioners will have insight when working therapeutically with this population and empower them to have a quality of life, even within the boundaries of their illness. / Psychology / D. Litt. et Phil. (Psychology)

Whether it is offering services, delivering solutions or driving innovations, team work has been a hallmark of efficiency and effectiveness in various industries. The healthcare industry is not left out as its service delivery process involves numerous interfaces, information flows and patient hand-offs among professionals with different educational training, differing knowledge levels and possibly working from different locations as well. As healthcare delivery evolves to being more patient-centered, so does the team settings as well, becoming more collaborative. Such changes also translate into a need for support systems to evolve to be able to provide support for the extent of collaboration that would be needed. A framework is needed to guide in the development of such systems. However, due to the varying needs of patients, team types and make-up would generally differ, so we explored the different types of team settings studying what they entail based on their various degrees of collaboration. We therefore present in this thesis a model of team based concepts, an ontology formalizing the model, team based scenarios designed using the ontology and then application of the scenarios to test the ability of BPMN (Business Process Modeling Notation) to model healthcare teams.

Whether it is offering services, delivering solutions or driving innovations, team work has been a hallmark of efficiency and effectiveness in various industries. The healthcare industry is not left out as its service delivery process involves numerous interfaces, information flows and patient hand-offs among professionals with different educational training, differing knowledge levels and possibly working from different locations as well. As healthcare delivery evolves to being more patient-centered, so does the team settings as well, becoming more collaborative. Such changes also translate into a need for support systems to evolve to be able to provide support for the extent of collaboration that would be needed. A framework is needed to guide in the development of such systems. However, due to the varying needs of patients, team types and make-up would generally differ, so we explored the different types of team settings studying what they entail based on their various degrees of collaboration. We therefore present in this thesis a model of team based concepts, an ontology formalizing the model, team based scenarios designed using the ontology and then application of the scenarios to test the ability of BPMN (Business Process Modeling Notation) to model healthcare teams.

Whether it is offering services, delivering solutions or driving innovations, team work has been a hallmark of efficiency and effectiveness in various industries. The healthcare industry is not left out as its service delivery process involves numerous interfaces, information flows and patient hand-offs among professionals with different educational training, differing knowledge levels and possibly working from different locations as well. As healthcare delivery evolves to being more patient-centered, so does the team settings as well, becoming more collaborative. Such changes also translate into a need for support systems to evolve to be able to provide support for the extent of collaboration that would be needed. A framework is needed to guide in the development of such systems. However, due to the varying needs of patients, team types and make-up would generally differ, so we explored the different types of team settings studying what they entail based on their various degrees of collaboration. We therefore present in this thesis a model of team based concepts, an ontology formalizing the model, team based scenarios designed using the ontology and then application of the scenarios to test the ability of BPMN (Business Process Modeling Notation) to model healthcare teams.

Whether it is offering services, delivering solutions or driving innovations, team work has been a hallmark of efficiency and effectiveness in various industries. The healthcare industry is not left out as its service delivery process involves numerous interfaces, information flows and patient hand-offs among professionals with different educational training, differing knowledge levels and possibly working from different locations as well. As healthcare delivery evolves to being more patient-centered, so does the team settings as well, becoming more collaborative. Such changes also translate into a need for support systems to evolve to be able to provide support for the extent of collaboration that would be needed. A framework is needed to guide in the development of such systems. However, due to the varying needs of patients, team types and make-up would generally differ, so we explored the different types of team settings studying what they entail based on their various degrees of collaboration. We therefore present in this thesis a model of team based concepts, an ontology formalizing the model, team based scenarios designed using the ontology and then application of the scenarios to test the ability of BPMN (Business Process Modeling Notation) to model healthcare teams.