Patient Satisfaction Analysis Across Seven Healthcare Domains

This dataset examines the association of independent variables with seven domains of patient satisfaction. It was created by Stuti Shrestha and last updated in March 2026. The data is stored in an XLS file sized at 9.5 KB.

Use Cases

• Perform ordinal logistic regression to model patient satisfaction domains against independent variables like perceived quality.
• Analyze the association between healthcare provision underlying factors and the seven satisfaction domains.
• Assess patient satisfaction by examining the relationship with specific variables such as medicine availability or insurance benefit packages.

Strengths

• Data is licensed under CC BY 4.0, allowing for open sharing and adaptation.
• The dataset focuses on seven specific domains of patient satisfaction, providing a structured analytical scope.
• Includes tags indicating analysis methods like ordinal logistic regression and thematic analysis.

Limitations

• The dataset is very small at 9.5 KB, indicating limited scope and likely a small sample size.
• No column names, row count, or sample data are provided, limiting understanding of the data structure.
• The description is minimal, offering little detail on the independent variables or data collection methodology.

Provenance

Source

figshare, authored by Stuti Shrestha.

Collection Method

Analysis methods mentioned in tags include ordinal logistic regression and thematic analysis.

Freshness

Last updated on 2026-03-20.

Geography

Tags mention 'Provincial Government Hospital', suggesting a possible geographic focus.