Subscribe to RSS
DOI: 10.1055/a-2407-1329
Integrating Diversity, Equity, Inclusion, and Accessibility into a Data Storytelling Model for Health Informatics Education
Funding The project was supported by the Veterans Affairs Quality Scholars (VAQS) fellowship. The content is solely the responsibility of the authors and does not necessarily represent the official views of the VAQS program or the Department of Veterans Affairs.Abstract
Background Health informatics education is pivotal in integrating diversity, equity, inclusion, and accessibility (DEIA) principles into curricula and leveraging data with equity considerations. Integrating clinically driven data with other datasets is crucial to comprehensive understanding of patient care demographics, experiences, and outcomes to create equity-minded data storytelling. Publicly available Healthy People 2030 (HP2030) resources complement academic electronic health records, supporting tailored learning activities in informatics education to enhance educational utility through a DEIA lens.
Objectives This case report describes the expansion of an existing diversity, equity, and inclusion (DEI) checklist to an updated DEIA checklist for preparing future informaticians to collect and critically evaluate DEIA features using this checklist in creating equity-minded data storytelling.
Methods The DEI-Oriented Data Storytelling Model and the HP2030 framework were utilized to develop the DEIA checklist. We employed an informal cognitive walkthrough to expand the DEIA checklist and evaluate the DEIA measures or characteristics within datasets from the HP2030 social determinants of health (SDOH) five topics using this checklist.
Results We reviewed 76 available SDOH-related datasets and added six measures to “demographics” and seven to “skills, abilities, and accessibility” of the DEIA checklist. Our evaluation of the DEIA checklist verified HP2030's inclusion of all measures, except “religions/beliefs.” All DEIA measures were linked to equity and accessibility, one in inclusion, and the inclusion of three characteristics comprising the category “language” and six characteristics comprising the category “images.”
Conclusion Results highlighted the accessibility and comprehensiveness of HP2030 demographic data resources, considering SDOH factors and promoting inclusive data representation to address health disparities. The DEIA checklist provides a structured tool in facilitating unbiased data collection and visualization of SDOH-related data through an equity-informed lens. Integrating an equity-minded data storytelling with frameworks like HP2030 enriches health informatics education, broadens students' understanding of health disparities, and supports evidence-based interventions for improved health outcomes.
Keywords
diversity - equity - inclusion - accessibility - data storytelling - health informatics education.Protection of Human and Animal Subjects
No human subjects were involved in this project.
Publication History
Received: 15 March 2024
Accepted: 29 August 2024
Accepted Manuscript online:
30 August 2024
Article published online:
11 December 2024
© 2024. Thieme. All rights reserved.
Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany
-
References
- 1 Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations. Science 2019; 366 (6464) 447-453
- 2 Gao G. Developing and evaluating a diversity, equity, and inclusion storytelling model in data courses in an academic electronic health record. AMIA Annu Symp Proc 2023; 2022: 461-467
- 3 American Hospital Association. Addressing health care disparities through race, ethnicity and language (REaL) data. June 2020. Accessed at: https://www.aha.org/system/files/media/file/2020/06/ifdhe_real_data_resource.pdf
- 4 American Hospital Association. Health equity, diversity & inclusion measures for hospitals and health system dashboards. December 2020. Accessed February 28, 2024 at: https://ifdhe.aha.org/system/files/media/file/2020/12/ifdhe_inclusion_dashboard.pdf
- 5 Tan TQ. Principles of inclusion, diversity, access, and equity. J Infect Dis 2019; 220 (220, suppl 2): S30-S32
- 6 Burrows S. Using an academic EHR in a health professions curriculum. October 9, 2012. Accessed September 9, 2024 at: https://www.healthcareitnews.com/blog/using-academic-ehr-health-professions-curriculum#:~:text=An%20Academic%20EHR%20is%20essentially%20an%20adapted%20version,the%20product%20for%20the%20needs%20of%20academic%20institutions
- 7 Wilson C. Cognitive walkthrough. In: Wilson C. ed. User Interface Inspection Methods. Morgan Kaufmann; 2014: 65-79
- 8 Office of Disease Prevention and Health Promotion. Healthy People 2030: Healthy People 2030 Framework. U.S. Department of Health and Human Services. Accessed September 9, 2024 at: https://health.gov/healthypeople/about/healthy-people-2030-framework
- 9 Office of Disease Prevention and Health Promotion. Healthy People 2030: Browse Objectives by Topic. U.S. Department of Health and Human Services. Accessed September 9, 2024 at: https://health.gov/healthypeople/objectives-and-data/browse-objectives
- 10 Office of Disease Prevention and Health Promotion. Healthy People 2030: Find Objectives. U.S. Department of Health and Human Services. Accessed September 9, 2024 at: https://health.gov/healthypeople/objectives-and-data/find-objectives
- 11 Gómez CA, Kleinman DV, Pronk N. et al. Addressing health equity and social determinants of health through Healthy People 2030. J Public Health Manag Pract 2021; 27 (6, suppl 6): S249-S257
- 12 National Institutes of Health (NIH). NIH-wide strategic plan for diversity, equity, inclusion, and accessibility (DEIA). Fiscal Years 2023–2027. Accessed September 9, 2024 at: https://www.nih.gov/about-nih/nih-wide-strategic-plan-diversity-equity-inclusion-accessibility-deia
- 13 Cato K, Airan-Javia S. AMIA's focus on diversity, equity, and inclusion. Appl Clin Inform 2022; 13 (05) 1161-1162
- 14 Cary Jr MP, Zink A, Wei S. et al. Mitigating racial and ethnic bias and advancing health equity in clinical algorithms: a scoping review. Health Aff (Millwood) 2023; 42 (10) 1359-1368
- 15 Feng A, Schwabish J. Are your data visualizations racist?. Stanf Soc Innov Rev 2021;2. Accessed February 28, 2024 at: https://ssir.org/articles/entry/are_your_data_visualizations_racist
- 16 Braveman PA, Egerter SA, Cubbin C, Marchi KS. An approach to studying social disparities in health and health care. Am J Public Health 2004; 94 (12) 2139-2148