SIBANDA, Mpumelelo, BREESE, Richard and PRICE, Ilfryn (2021). Decision-making in English Clinical Commissioning groups: A mixed methods study. In: AU-YONG-OLIVEIRA, Manuel and COSTA, Carlos, (eds.) Proceedings of the 20th European Conference on Research Methodology for Business and Management Studies. ACI Ltd, 280-289. [Book Section]
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Breese-Decision-makingEnglish(AM).pdf - Accepted Version
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Abstract
My research primarily investigated the Clinical Commissioning Groups (CCGs) in the English National Health Service (NHS)
to identify factors influencing effective decision-making as perceived by General Practitioners (GPs) with formal roles in
CCGs. A study by the British Medical Association (BMA) (2014) revealed that GPs at practice level felt that CCGs were
developing policies that restrict efficient delivery of health care. As such, I developed a hypothesised conceptual model
demonstrating factors at play in the decision-making process, which I tested using Partial Least Squares Structural
Equation Modelling (PLS-SEM). Alongside, informed by the conceptual model, was the qualitative strand, with the data
that I analysed under interpretative phenomenological analysis (IPA). Quantitative and qualitative data were collected
simultaneously through a survey using a questionnaire in a convergent parallel mixed methods design, underpinned by a
philosophical position of pragmatism. Data was collected in 2017. Usable responses comprised of 73 GPs in England.
The study results, which contribute to theory and practice, discovered that; for practice, autonomy only was not
enough to ensure efficiency of the CCGs. Other aspects like Finance and GP Proportion came to the fore. For example,
many concerns about CCG policies perceived as adverse were attributed to Finance, while GP Proportion was found to
have a significant effect on the perceived decision-making process effectiveness. For theory, the intention behind the
setting up of the CCGs, to move, effectively, from a bureaucratic model of organisational structure to a professional
model (Mintzberg 1979) was found to be threatened.
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