Quality Checklists for Health Professions Blogs and Podcasts

151 quality indicators for blogs and podcasts were identified and refined through a rigorous research process. The resulting Quality Checklists are designed to assist with quality appraisal of medical blogs and podcasts. The dataset was created by Isabelle N Colmers at the University of Alberta and is available under an Open Access (diamond) license.

Use Cases

• Developing automated quality scoring tools based on the 151 identified quality indicators.
• Training machine learning models to classify medical blog and podcast quality.
• Creating educational modules for learners on how to assess digital medical resources.
• Benchmarking the quality of existing medical blogs and podcasts against the refined checklist.

Strengths

• Derived from a rigorous research process resulting in 151 initial quality indicators.
• Presents a standardized method for a domain where one was previously lacking.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Alberta

Collection Method

Research agenda involving the formation and refinement of quality indicators.