Campo Maritza Salazar, Miovsky Nicole, Schneider Margaret, Woodworth Amanda, DeHaven Michelle, Kahn Pamela, Weiss Michael, Cooper Dan M
Paul Merage School of Business, University of California at Irvine, Irvine, California.
Institute for Clinical and Translational Science, University of California at Irvine, Irvine, California.
Health Behav Policy Rev. 2023 Feb;10(1):1140-1152. doi: 10.14485/hbpr.10.1.1.
In support of schools restarting during the COVID-19 pandemic, some schools partnered with local experts in academia, education, community, and public health to provide decision-support tools for determining what actions to take when presented with students at risk for spreading infection at school.
The Student Symptom Decision Tree, developed in Orange County, California, is a flow chart consisting of branching logic and definitions to assist school personnel in making decisions regarding possible COVID-19 cases in schools which was repeatedly updated to reflect evolving evidence-based guidelines. A survey of 56 school personnel evaluated the frequency of use, acceptability, feasibility, appropriateness, usability, and helpfulness of the Decision Tree.
The tool was used at least 6 times a week by 66% of respondents. The Decision Tree was generally perceived as acceptable (91%), feasible (70%), appropriate (89%), usable (71%) and helpful (95%). Suggestions for improvement included reducing the complexity in content and formatting of the tool.
The data suggest that school personnel found value in the Decision Tree, which was intended to assist them with making decisions in a challenging and rapidly evolving pandemic.
为支持学校在新冠疫情期间重新开学，一些学校与学术界、教育界、社区和公共卫生领域的当地专家合作，提供决策支持工具，以确定当学校出现有感染传播风险的学生时应采取何种行动。
在加利福尼亚州奥兰治县开发的学生症状决策树是一个流程图，由分支逻辑和定义组成，以协助学校工作人员就学校中可能的新冠病例做出决策，该决策树经过多次更新以反映不断演变的循证指南。一项对56名学校工作人员的调查评估了决策树的使用频率、可接受性、可行性、适用性、可用性和实用性。
66%的受访者每周至少使用该工具6次。决策树总体上被认为是可接受的（91%）、可行的（70%）、适当的（89%）、可用的（71%）和有帮助的（95%）。改进建议包括降低工具内容和格式的复杂性。
数据表明，学校工作人员在决策树中发现了价值，该决策树旨在帮助他们在具有挑战性且迅速演变的疫情中做出决策。
