使用模拟多病人紧急情况的农村全科医生治疗推理的见解。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-12-01 Epub Date: 2023-12-03 DOI:10.22605/RRH8365
Daniel Pellegrini, Ellen Davies, Lucie Walters, Lisa White, Adam Montagu, James Padley
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引用次数: 0

摘要

简介:治疗推理侧重于与患者处置和管理相关的决策。这与诊断推理形成对比,诊断推理是当前医学文献中许多论述的焦点。很少有研究与治疗性推理有关,而与农村和偏远地区有关的研究就更少了。本项目旨在探讨在澳大利亚一家小型农村医院工作的农村全科医生所使用的治疗推理,这些医生照顾的病人不清楚是否需要升级治疗,包括住院或医院间转院。方法:本研究采用解释学方法进行。以农村多面手和医学模拟专家为实验平台,构建了一个模拟场景,探讨了农村多面手参与者的推理能力。模拟环境是澳大利亚一家小型农村医院,其资源和治疗方案与类似现实环境中的典型情况相同。在这个场景中嵌入了一个模拟病人和一个注册护士。参与者需要在整个场景中对模拟的病人和两个据说要来的预期病人做出决定。紧接着是一个半结构化的访谈,探讨参与者在计划对这三名患者的护理时的治疗推理。采用归纳内容分析法对数据进行分析,并建立心理模型。然后,研究人员将这种心理模型与参与者的模拟场景录音进行了测试。结果:共有8名不同经验水平的农村全科医生参与了本研究。通过半结构化访谈,参与者描述了五个主题:评估临床医生管理患者需求的能力;当地物质资源和团队成员的可用性;当地方管理不够时,考虑寻求帮助的选择;患者意愿和共同决策;并预测未来的需求。从这些主题发展而来的心理模型包括七个问题:“我能在当地为这个病人做些什么?我的极限是什么?”“我的团队里有谁?我能依靠谁?”“本地管理和转移有什么优缺点?”“还有谁需要参与进来,他们的限制是什么?”“我们怎样才能让病人的需求与他们的需求保持一致?”“我们如何适应当前和未来的形势?”以及“如何保持卫生服务机构提供医疗服务的能力?”结论:本研究通过模拟多病人急诊情景,探讨了农村全科医生的治疗推理。所开发的心理模型可作为讨论治疗推理的起点,在向在资源和人员可能有限的农村和偏远地区工作的医学生和初级医生提供教育时可能很有用。
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Insights into rural generalist therapeutic reasoning using a simulated multi-patient emergency scenario.

Introduction: Therapeutic reasoning focuses on the decisions related to patient disposition and management. This is in contrast to diagnostic reasoning, which is the focus of much of the current discourse in the medical literature. Few studies relate to therapeutic reasoning, and even fewer relate to the rural and remote context. This project sought to explore the therapeutic reasoning used by rural generalists working in a small rural hospital setting in Australia, caring for patients for whom it was unclear if escalation of care, including admission or interhospital transfer, was needed.

Methods: This study was conducted using an interpretivist approach. A simulation scenario was developed with rural generalists and experts in medical simulation to use as a test bed to explore the reasoning of the rural generalist participants. The simulation context was a small rural Australian hospital with resources and treatment options typical of those found in a similar real-life setting. A simulated patient and a registered nurse were embedded in the scenario. Participants needed to make decisions throughout the scenario regarding the simulated patient and two anticipated patients who were said to be coming to the department. The scenario was immediately followed by a semi-structured interview exploring participants' therapeutic reasoning when planning care for these three patients. An inductive content analysis approach was used to analyse the data, and a mental model was developed. The researchers then tested this mental model against the recordings of the participants' simulation scenarios.

Results: Eight rural generalists, with varying levels of experience, participated in this study. Through the semi-structured interviews, participants described five themes: assessing clinician capacity to manage patient needs; availability of local physical resources and team members; considering options for help when local management was not enough; patients' wishes and shared decision making; and anticipating future requirements. The mental model developed from these themes consisted of seven questions: 'What can I do for this patient locally and what are my limits?'; 'Who is in my team and who can I rely on?'; 'What are the advantages and disadvantages of local management vs transfer?'; 'Who else needs to be involved and what are their limits?;' 'How can we align the patient's wants with their needs?'; 'How do we adapt to the current and future situation?'; and 'How do I preserve the capacity of the health service to provide care?'

Conclusion: This study explored the therapeutic reasoning of rural generalists using a simulated multi-patient emergency scenario. The mental model developed serves as a starting point when discussing therapeutic reasoning and is likely to be useful when providing education to medical students and junior doctors who are working in rural and remote contexts where resources and personnel may be limited.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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