Alopecia Areata Diagnostic Delay Survey with Socioeconomic Factors

Survey data from patients with alopecia areata used to analyze diagnostic delays exceeding one year. The dataset includes regression analysis results examining associations with race, income, and health insurance. The supplementary material was uploaded by figshare admin karger on 2026-05-21.

Use Cases

• Analyzing associations between socioeconomic factors and diagnostic delay based on survey demographics mentioned in the description
• Performing sensitivity analysis on diagnostic delay thresholds (9-month vs. 1-year) as described in the methods
• Investigating the role of health insurance coverage in healthcare access for dermatological conditions
• Studying racial and income disparities in the timely diagnosis of alopecia areata

Strengths

• Dataset includes specific odds ratios and confidence intervals from regression analysis (e.g., OR 0.46 for white race)
• Analysis controls for multiple variables including age, sex at birth, race, income, health insurance, and employment
• Sensitivity analysis performed comparing 9-month and 1-year diagnostic delay thresholds

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Description notes limitations include survey demographics and cross-sectional design, limiting causal inference

Provenance

Source

figshare

Collection Method

Patients with alopecia areata were recruited via an online survey.

Freshness

Last updated 2026-05-21 11:55:08; freshness should be verified