School of Nursing and Midwifery, East Africa
Background: Recent evidence suggest that improved patient trust in doctors can facilitate their healthcare seeking, adherence and continuity with care. With the growing burden of chronic disease in low income Africa (LIA) characterized by challenges of poor patient healthcare seeking, non-adherence and poor continuity with care, trust forms an important entry point for addressing these challenges. However, the topic of trust has generally received weaker attention among researchers in LIA contexts. To date, there has been no attempts to generate a clear guide for theory-driven inquiries as a means of operationalization of trust as a public health lens for chronic disease response in LIA.
Objective: This paper revisits the ‘Best fit approach’, a potentially useful but less used strategy to offer a step by step guide for systematically identifying theories and models for theory-driven inquiries of trust in patient-provider relationships in LIA.
Methods/Design: The ‘Best fit framework analysis’ approach is revisited as a potentially useful in systematically identifying ‘best fit’ theories and models of trust to aid theory-driven inquiries. The paper proposes a step by step guide on how to gather theories and models, use thematic analysis approach for coding of themes from selected theoretical literature and lastly, generating an interview guide for theory-driven research in LIA.
Conclusion: The review of existing trust theories and models may facilitate generating useful constructs for developing an interview guide for theory driven research on patient-provider trust in LIA. When data from theory-driven inquiries are analysed, they form an important step in operationalization of trust in therapeutic relationships as a lens for addressing the challenges of chronic diseases in LIA context.
Tanzania Journal of Health Sciences
Isangula, K. G.(2018). Using theories and models for operationalization of patient trust in doctors in chronic disease response in low income Africa:‘Best Fit Approach’.Tanzania Journal of Health Sciences, 2018; Vol. 2(1)