<p>Implementation Science Conceptual Framework.</p>

129 health workers in Honduras, Syria, and South Sudan self-reported their pandemic knowledge, skills, and confidence across three time points in a 2024 study. The dataset likely contains survey results using the Dynamic Sustainability Framework to measure the retention of COVID-19 training benefits. It was authored by Maryada E. Vallet and last updated in April 2026.

Use Cases

• Analyzing the retention of self-reported health worker capacities based on retrospective Likert-scale ratings.
• Comparing perceived pandemic preparedness across different humanitarian settings (Honduras, Syria, South Sudan).
• Modeling factors affecting the 'shelf-life' of training benefits based on individual, training-related, and contextual features mentioned in the description.
• Assessing the relationship between ongoing support access and sustained confidence to face emergent disease risks.

Strengths

• Data spans three distinct humanitarian settings (Honduras, Syria, South Sudan), providing comparative context.
• Includes self-reported measures across three time points (pre-training, post-training, present status) for longitudinal analysis.
• Results are based on a specific sample of 129 primary healthcare and community-level health workers surveyed in March-April 2024.
• Published under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The study design has acknowledged limitations; results cannot be attributed solely to trainings or generalized to all health workers in the countries.

Provenance

Source

figshare

Collection Method

Cross-sectional, retrospective self-assessment survey of health workers.

Time Range

Survey conducted March-April 2024, with retrospective recall for earlier time points.

Freshness

Last updated 2026-04-20 17:45:35; freshness should be verified.

Geography

Honduras, Syria, South Sudan