将健康差异内容纳入健康信息学课程:一项横断面调查研究和建议。

IF 2.5 Q2 HEALTH CARE SCIENCES & SERVICES JAMIA Open Pub Date : 2023-04-01 DOI:10.1093/jamiaopen/ooac101
Annie T Chen, Uba Backonja, Kenrick Cato
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引用次数: 0

摘要

目的:评估健康差异内容在多学科健康信息学培训计划中的整合程度,并检查教师对教学策略和挑战的看法,包括学生对课程材料的参与。材料和方法:这项横断面描述性研究的数据收集于2019年4月至10月。在美国授课的信息学课程的讲师是通过listservs和电子邮件招募的。资格取决于课程是否包含差异内容。参与者完成了一份带有开放式和封闭式问题的在线调查,以捕捉信息学中差异教育的行政和教学相关方面。定量资料采用描述性统计分析;定性数据采用归纳编码进行分析。结果:共向141名个人和11个列表发送了邀请。我们从23位讲师那里获得了24门包含健康差异内容的信息学课程的数据。课程主要在信息学(n = 9, 33.3%)、护理学(n = 7, 25.9%)和信息科学(n = 6, 22.2%)的研究生课程(n = 21, 87.5%)中教授。平均课程涵盖6.5个(范围2-13)健康的社会决定因素;最常见的是社会经济地位和种族/民族(n = 21,87.5%)。教师描述了多种障碍,包括缺乏资源和时间来充分讨论差异主题,主题敏感性,以及与学生相关的挑战(例如,缺乏对差异的预先理解)。讨论:健康差异的基础和转化知识对学生发展未来公平信息学解决方案的能力至关重要。根据我们的研究结果,我们提出了在信息学课程和能力中有意和必要地整合针对健康差异的内容的建议。
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Integrating health disparities content into health informatics courses: a cross-sectional survey study and recommendations.

Objective: To assess the extent to which health disparities content is integrated in multidisciplinary health informatics training programs and examine instructor perspectives surrounding teaching strategies and challenges, including student engagement with course material.

Materials and methods: Data for this cross-sectional, descriptive study were collected between April and October 2019. Instructors of informatics courses taught in the United States were recruited via listservs and email. Eligibility was contingent on course inclusion of disparities content. Participants completed an online survey with open- and closed-ended questions to capture administrative- and teaching-related aspects of disparities education within informatics. Quantitative data were analyzed using descriptive statistics; qualitative data were analyzed using inductive coding.

Results: Invitations were sent to 141 individuals and 11 listservs. We obtained data from 23 instructors about 24 informatics courses containing health disparities content. Courses were taught primarily in graduate-level programs (n = 21, 87.5%) in informatics (n = 9, 33.3%), nursing (n = 7, 25.9%), and information science (n = 6, 22.2%). The average course covered 6.5 (range 2-13) social determinants of health; socioeconomic status and race/ethnicity (both n = 21, 87.5%) were most frequently addressed. Instructors described multiple obstacles, including lack of resources and time to cover disparities topics adequately, topic sensitivity, and student-related challenges (eg, lack of prior understanding about disparities).

Discussion: A foundational and translational knowledge in health disparities is critical to a student's ability to develop future equitable informatics solutions. Based on our findings, we provide recommendations for the intentional and required integration of health disparities-specific content in informatics curricula and competencies.

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来源期刊
JAMIA Open
JAMIA Open Medicine-Health Informatics
CiteScore
4.10
自引率
4.80%
发文量
102
审稿时长
16 weeks
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