Purpose

A new triage method, MBCE (Medical Bio Social Ethics), is presented with social justice, bio, and medical ethics for critical resource distribution during a pandemic. Ethical triage is a complex and challenging process that requires careful consideration of medical, social, cultural, and ethical factors to guide the decision-making process and ensure fair and transparent allocation of resources. When assigning priorities to patients, a clinician would evaluate each patient’s medical condition, age, comorbidities, and prognosis, as well as their cultural and social background and ethical factors.

Design/methodology/approach

A statistical analysis shows no interactions among the ethical triage factors. It implies the ethical components have no moderation effect; hence, each is independent. The result also points out that medical and bioethics may have an affinity for interactions. In such cases, there seem to be some ethical factors related to bio and medical ethics that are correlated. Therefore, the triage team should be careful in evaluating patient cases. The algorithm is explained with case histories of the selected patient. A group of triage nurses and general medical practitioners assists with the triage.

Findings

The MBCE triage algorithm aims to allocate scarce resources fairly and equitably. Another ethical principle in this triage algorithm is the principle of utility. In a pandemic, the principle of utility may require prioritizing patients with a higher likelihood of survival or requiring less medical care. The research presents a sensitivity analysis of a patient’s triage score to show the algorithm’s robustness. A weighted score of ethical factors combined with an assessment of triage factors combines multiple objectives to assign a fair triage score. These distinctive features of the algorithm are reasonably easy to implement and a new direction for the unbiased triage principle.

Originality/value

The idea is to make decisions about distributing and using scarce medical resources. Triage algorithms raise ethical issues, such as discrimination and justice, guiding medical ethics in treating patients with terminal diseases or comorbidity. One of the main ethical principles in triage algorithms is the principle of distributive justice.

中文翻译：

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公共卫生应急设施中的道德分类：分配正义——决策模型

目的

一种新的分类方法，MBCE（医学生物社会伦理），提出了大流行期间关键资源分配的社会正义、生物和医学伦理。道德分诊是一个复杂且具有挑战性的过程，需要仔细考虑医疗、社会、文化和道德因素，以指导决策过程并确保公平和透明的资源分配。在为患者分配优先顺序时，临床医生会评估每个患者的医疗状况、年龄、合并症和预后，以及他们的文化和社会背景以及道德因素。

设计/方法论/途径

统计分析显示道德分类因素之间没有相互作用。这意味着道德成分没有调节作用；因此，每个人都是独立的。结果还指出，医学和生物伦理学可能对相互作用具有亲和力。在这种情况下，似乎存在一些与生物伦理和医学伦理相关的伦理因素。因此，分诊团队在评估患者病例时应谨慎。该算法通过所选患者的病史进行解释。一组分诊护士和全科医生协助分诊。

发现

MBCE分流算法旨在公平、公正地分配稀缺资源。该分类算法中的另一个道德原则是效用原则。在大流行中，效用原则可能要求优先考虑生存可能性较高或需要较少医疗护理的患者。该研究对患者分诊评分进行了敏感性分析，以显示该算法的稳健性。道德因素的加权分数与分类因素的评估相结合，结合多个目标来分配公平的分类分数。该算法的这些显着特征相当容易实现，并且为无偏分类原则提供了新的方向。

原创性/价值

其想法是做出有关分配和使用稀缺医疗资源的决策。分诊算法提出了歧视和正义等伦理问题，指导了治疗绝症或合并症患者的医学伦理。分类算法的主要伦理原则之一是分配正义原则。