(Dataset) Accessibility in PAR

Description

he "Accessibility in PAR" dataset provides a comprehensive assessment of the PAR platform's accessibility from the perspective of physicians. This dataset includes detailed results from the evaluation conducted on 11 web pages of the platform, utilizing automated tools like WAVE and manual assessment by accessibility experts and physicians specialized in physical therapy. The data offers a holistic view of compliance with WCAG 2.2 accessibility standards, highlighting areas of robust compliance and those needing improvement. Key metrics encompass compliance rates in fundamental principles such as Perceivable, Operable, Understandable, and Robust, delivering detailed insights into the platform's effectiveness concerning aspects like image descriptions, semantic structures, navigation, and assistive technology compatibility. Specific challenges, such as the ARIA category, are emphasized, pinpointing critical areas requiring attention for enhancing the user experience for individuals with disabilities. This dataset is valuable for developers, designers, and healthcare professionals seeking to comprehend and enhance accessibility in digital healthcare platforms, fostering an inclusive and equitable approach to healthcare services delivery.

Steps to reproduce

Data Retrieval: Obtain the original dataset from the Mendeley Data repository, where it is openly accessible. Access the dataset files containing the detailed results of the evaluation on the 11 web pages of the PAR platform. Tool Familiarization: Familiarize yourself with the tools and methodologies used in the original evaluation. Understand how automated tools like WAVE were applied for assessing accessibility and the criteria considered during the manual evaluation by accessibility experts and physicians. Data Interpretation: Thoroughly review the dataset files, focusing on metrics related to compliance rates in key accessibility principles (Perceivable, Operable, Understandable, and Robust). Interpret the results to identify areas of strength and those requiring improvement, with a special emphasis on specific challenges highlighted in the ARIA category. Comparison and Validation: Replicate the evaluation process by applying the same or equivalent tools to the PAR platform or a similar digital healthcare platform. Compare the results with the original dataset to validate findings and identify any variations or improvements made since the initial evaluation. Documentation and Reporting: Document the reproduction process, including the tools used, applied methodologies, and any modifications made during the evaluation. Summarize the findings, highlighting key insights, areas of success, and those needing attention. Prepare a comprehensive report that can serve as a reference for future research or improvements in digital healthcare platform accessibility.

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