Duke Global Health Institute, Durham, North Carolina, USA.
Duke University School of Medicine, Durham, North Carolina, USA.
World Neurosurg. 2020 Jul;139:495-504. doi: 10.1016/j.wneu.2020.04.193. Epub 2020 May 4.
Traumatic brain injury (TBI) prognostic models are potential solutions to severe human and technical shortages. Although numerous TBI prognostic models have been developed, none are widely used in clinical practice, largely because of a lack of feasibility research to inform implementation. We previously developed a prognostic model and Web-based application for in-hospital TBI care in low-resource settings. In this study, we tested the feasibility, acceptability, and usability of the application with potential end-users.
We performed our feasibility assessment with providers involved in TBI care at both a regional and national referral hospital in Uganda. We collected qualitative and quantitative data on decision support needs, application ease of use, and implementation design.
We completed 25 questionnaires on potential uses of the app and 11 semistructured feasibility interviews. Top-cited uses were informing the decision to operate, informing the decision to send the patient to intensive care, and counseling patients and relatives. Participants affirmed the potential of the application to support difficult triage situations, particularly in the setting of limited access to diagnostics and interventions, but were hesitant to use this technology with end-of-life decisions. Although all participants were satisfied with the application and agreed that it was easy to use, several expressed a need for this technology to be accessible by smartphone and offline.
We elucidated several potential uses for our app and important contextual factors that will support future implementation. This investigation helps address an unmet need to determine the feasibility of TBI clinical decision support systems in low-resource settings.
创伤性脑损伤 (TBI) 预后模型是解决严重人力和技术短缺问题的潜在方法。尽管已经开发了许多 TBI 预后模型,但由于缺乏实施可行性研究,这些模型都没有在临床实践中得到广泛应用。我们之前开发了一种用于资源匮乏环境下医院内 TBI 护理的预后模型和基于网络的应用程序。在这项研究中,我们对潜在的最终用户进行了该应用程序的可行性、可接受性和可用性测试。
我们在乌干达的一家地区性和国家级转诊医院参与 TBI 护理的医护人员中进行了可行性评估。我们收集了有关决策支持需求、应用程序易用性和实施设计的定性和定量数据。
我们完成了 25 份关于应用程序潜在用途的调查问卷和 11 次半结构化可行性访谈。最常被引用的用途包括为手术决策提供信息、为转入重症监护病房的决策提供信息以及为患者和家属提供咨询。参与者肯定了该应用程序在支持困难的分诊情况下的潜力,尤其是在诊断和干预手段有限的情况下,但对在生命末期使用该技术犹豫不决。尽管所有参与者都对该应用程序感到满意并认为它易于使用,但有几个人表示希望这项技术可以通过智能手机和离线访问。
我们阐明了该应用程序的一些潜在用途以及支持未来实施的重要背景因素。这项调查有助于确定 TBI 临床决策支持系统在资源匮乏环境中的可行性,以满足这一未满足的需求。