UK Healthcare Worker Survey on Digital Job Demands and Well-Being, 292 Respondents

292 healthcare workers in the UK were surveyed via Prolific to examine relationships between digital job demands, resources, and workplace well-being. The dataset contains survey results analyzed using structural equation modeling in R. It was authored by Parisa Afshin and last updated in March 2026.

Use Cases

• Test the Job Demands-Resources model in a digital healthcare context based on the described survey variables.
• Analyze mediating effects of resources like digital innovation support and resilience based on the reported structural equation modeling results.
• Investigate the relationship between digital system overload and thriving at work based on the study's findings.
• Examine cross-sectional associations between autonomy, digital support, and job satisfaction in healthcare settings.

Strengths

• Dataset is based on a survey of 292 healthcare workers, providing a specific sample size.
• Analysis includes specific statistical results, such as beta coefficients and p-values for tested relationships.
• Released under a CC-BY-4.0 license, permitting open sharing and adaptation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a single cross-sectional survey in the UK, which may limit generalizability.

Provenance

Source

figshare, authored by Parisa Afshin.

Collection Method

Cross-sectional survey of 292 UK healthcare workers recruited via Prolific using nonprobability purposive sampling.

Time Range

Survey time period is not specified.

Freshness

Last updated 2026-03-18 07:39:43; freshness should be verified.

Geography

United Kingdom.