Charité Alarm Fatigue Questionnaire (CAFQa) Validation Dataset

Survey responses from ICU staff used to evaluate the construct validity of the Charité Alarm Fatigue Questionnaire. The dataset includes Likert-scale item scores, self-reported alarm fatigue percentages, and participant demographics. It was created by researchers including Maximilian Markus Wunderlich from Humboldt-Universität zu Berlin for a forthcoming publication.

Use Cases

• Validate the factor structure of the CAFQa based on its 9 Likert-scale items.
• Analyze correlations between self-reported alarm fatigue and perceived false alarm rates.
• Investigate the relationship between alarm fatigue and professional experience or role in the ICU.
• Assess the impact of alarm-related workflow interruptions on staff-reported physical symptoms.

Strengths

• Includes 9 specific questionnaire items with defined scoring on a 5-point Likert scale.
• Contains additional variables like self-reported alarm fatigue percentage and years of ICU experience.
• Dataset was created for a peer-reviewed, forthcoming publication, suggesting a research-grade purpose.

Limitations

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

Provenance

Source

Humboldt-Universität zu Berlin, associated with a multi-institution study group of German university hospitals.

Collection Method

Likely collected via survey from ICU staff, as indicated by the questionnaire items and participant profession variable.

Geography

Data collection likely occurred in Germany, based on the affiliations of the study group members.