EQ-5D-5L Symptom Count Comparison for Patient-Reported Outcomes

Patient-reported health outcomes data comparing symptom counts between patients with and without problems across EQ-5D-5L dimensions, presented as mean and standard deviation. The dataset was authored by Xiaowu Sun and last updated in March 2026. It is a small dataset at 5.5 KB, with unknown row and column counts.

Use Cases

• Compare mean symptom counts across EQ-5D-5L dimensions to identify which health problems are associated with higher symptom burden.
• Analyze the standard deviation of symptom counts to assess variability in patient-reported outcomes within each dimension.
• Use the categorized 'with/without problem' status per EQ-5D-5L dimension as a grouping variable for comparative statistical analysis.

Strengths

• Data is openly licensed under CC BY 4.0, permitting broad reuse and sharing.
• Focuses on a standardized health instrument (EQ-5D-5L) used globally for patient-reported outcome measurement.
• Provides calculated summary statistics (Mean and SD) for symptom counts, offering immediate analytical value.

Limitations

• The dataset is very small (5.5 KB), indicating limited scope and likely a small sample size unsuitable for complex modeling.
• Lacks raw patient-level data, containing only aggregated summary statistics which restricts deeper analysis.
• No information on sample size (rows), column structure, or temporal/geographic coverage is provided.

Provenance

Source

Xiaowu Sun via figshare.

Collection Method

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Time Range

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Freshness

Last updated in March 2026.

Geography

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