Diagnostic Delay Metrics by Doctor Visits and Intervention Cohorts

Median and mean diagnostic delay statistics are calculated for patient cohorts segmented by the number of doctors visited and intervention status. Ridhima Sodhi published this 5.5 KB Excel file on figshare in April 2026. The dataset's small size suggests it contains aggregated summary statistics rather than individual patient records.

Use Cases

• Compare median_diagnostic_delay between different intervention_cohorts to assess program effectiveness.
• Analyze the relationship between number_of_doctors_visited and mean_diagnostic_delay to understand patient journey complexity.
• Benchmark delay metrics across segregated cohorts for healthcare system performance evaluation.

Strengths

• Data is openly licensed under CC-BY-4.0 for reuse.
• Provides segregated analysis by two key variables: doctor visits and intervention status.

Limitations

• Extremely small 5.5 KB size indicates highly aggregated data with no raw patient records.
• Unknown row count prevents assessment of statistical power or cohort sizes.
• Lacks details on data collection method, geography, and patient demographics.

Provenance

Source

Ridhima Sodhi via figshare.

Collection Method

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Time Range

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Freshness

Last updated in April 2026, indicating planned future update.

Geography

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