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The Solutions in Health Analytics for Rural Equity Across the Northwest (SHARE-NW) Dashboard for Health Equity in
Elizabeth Heitkemper1, Scott Hulse2, Betty Bekemeier3,4
1School of Nursing, The University of Texas at Austin, Austin, TX, United States.
JMIR Human Factors
|June 5, 2024
Summary
The Solutions in Health Analytics for Rural Equity Across the Northwest dashboard (SHAREdash) is a usable tool for rural public health professionals. It efficiently supports data-driven decision-making to address health disparities, though data gaps remain a challenge.
Area of Science:
- Public Health Informatics
- Health Services Research
- Data Visualization
Background:
- The Solutions in Health Analytics for Rural Equity Across the Northwest dashboard (SHAREdash) was developed to address the scarcity of resources for rural public health practice.
- SHAREdash provides accessible data to help rural county public health departments in the northwestern United States identify and address health disparities.
- User-centered design and iterative evaluation are crucial for developing effective public health data tools.
Purpose of the Study:
- To evaluate the usability of the SHAREdash system.
- Assessments focused on efficiency, satisfaction, and validity aligned with system development lifecycle stage 3 evaluation goals.
Main Methods:
- A usability study was conducted with public health professionals from rural departments in Washington, Idaho, Oregon, and Alaska (January-April 2022).
- The evaluation involved web-based think-aloud tasks to assess efficiency and effectiveness, and semistructured interviews to gauge satisfaction and overall usability.
- Directed content analysis was applied to verbatim transcripts of tasks and interviews.
Main Results:
- Participants demonstrated efficiency in completing tasks, with most requiring minimal prompting.
- All participants successfully completed tasks accurately, indicating high effectiveness.
- Users reported high satisfaction and recognized the dashboard's utility for comparing jurisdictions and supporting their work, particularly the ability to share graphs.
Conclusions:
- The SHAREdash system is efficient and satisfactory for rural public health professionals, enabling effective task completion.
- The study highlighted the critical need to address missing and fragmented public health data, especially for rural communities.
- Future improvements should focus on data completeness to maximize the utility of health analytics tools like SHAREdash.
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