Intervention Impact on Healthcare Provider Visits via Poisson Regression

Exponentiated coefficients and incidence rate ratios from a Poisson regression model assess an intervention's effect on the number of healthcare providers visited per individual. The 5.5 KB Excel file, created by Ridhima Sodhi, was last updated in April 2026. It contains statistical outputs including 95% confidence intervals for the reported metrics.

Use Cases

• Interpret the effect size of the intervention variable on the count of provider visits using exponentiated coefficients.
• Assess the statistical significance of predictor variables by examining their 95% confidence intervals for incidence rate ratios.
• Validate or compare Poisson regression model specifications for count data in healthcare access studies.

Strengths

• Model outputs include 95% confidence intervals, providing measures of uncertainty.
• Data is shared under a permissive CC-BY-4.0 license for reuse.

Limitations

• The dataset is very small at 5.5 KB, containing only model results, not the underlying raw patient or survey data.
• Without the original column names or sample data, the specific predictors and sample size used in the regression are unknown.

Provenance

Source

Ridhima Sodhi via figshare.

Collection Method

Statistical analysis outputs (Poisson regression) from an intervention study.

Freshness

Last updated in April 2026.