A Feasibility Assessment of a Traumatic Brain Injury Predictive Modelling Tool at Kilimanjaro Christian Medical Center and Duke University Hospital
| dc.contributor.advisor | Staton, Catherine Lynch | |
| dc.contributor.author | O'Leary, Paige | |
| dc.date.accessioned | 2021-05-20T14:12:15Z | |
| dc.date.available | 2023-05-19T08:17:16Z | |
| dc.date.issued | 2020 | |
| dc.department | DKU- Global Health Master of Science Program | |
| dc.description.abstract | Traumatic brain injury (TBI) is the most common cause of death and disability globally. TBI is a leading cause of resource consumption and disproportionately affects LMICs. Innovative solutions are required to address this high burden of TBI. Prognostic models could provide a solution since the models enhance diagnostic ability of physicians, thereby helping to tailor treatments more effectively. This study aims to evaluate the feasibility of a prognostic model developed in Tanzania for TBI patients amongst Kilimanjaro Christian Medical Center (KCMC) healthcare providers and Duke affiliated healthcare providers. Duke health system participants were included primarily to gain insight from a different context with more established practices to inform the TBI tool implementation strategy at KCMC. To evaluate the feasibility of integrating the TBI tool into potential workflows co-design interviews were conducted with emergency physicians and nursing staff. Qualitatively, the tool was assessed using human centered design (HCD) techniques. Our research design methods were created using the Consolidated Framework for Implementation Research which considers overarching characteristics of successful implementation to contribute to theory development and verification of implementation strategies across multiple contexts. Findings of this study will aid in determining under what conditions a TBI prognostic model intervention will work at KCMC and the potential use of HCD in implementation research. | |
| dc.identifier.uri | ||
| dc.subject | Public health | |
| dc.subject | Co-design | |
| dc.subject | Global health | |
| dc.subject | Human centered design | |
| dc.subject | Implementation science | |
| dc.subject | Prognostic model | |
| dc.subject | Traumatic brain injury (TBI) | |
| dc.title | A Feasibility Assessment of a Traumatic Brain Injury Predictive Modelling Tool at Kilimanjaro Christian Medical Center and Duke University Hospital | |
| dc.type | Master's thesis | |
| duke.embargo.months | 23.934246575342463 |
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