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HCAHPS Patient Satisfaction Analysis

An exploratory data analysis and predictive modeling project examining which hospital characteristics predict patient satisfaction scores across 4,789 U.S. hospitals, using publicly available CMS data.

Motivation
Inspired by supply chain work at Kaiser Permanente and an interest in post-market surveillance analytics, this project investigates whether public data sources can surface patterns in patient experience, and what operational and structural hospital characteristics influence overall patient satisfaction.

Data Sources

  • HCAHPS Hospital Survey (CMS Provider Data Catalog) — patient satisfaction scores across 4,789 hospitals, April 2024 – March 2025
  • Hospital General Information (CMS Provider Data Catalog) — hospital characteristics including ownership type, hospital type, mortality measures, safety measures, and readmission rates

Research Questions

  • Which patient experience measures most strongly predict overall hospital ratings?
  • Do hospital ownership type and size affect patient satisfaction scores?
  • Do clinical quality measures (mortality, safety, readmissions) correlate with patient satisfaction?

Analysis
Data cleaning and reshaping from long to wide format across 325,652 survey responses
Correlation analysis across satisfaction measures
Exploratory analysis by ownership type and hospital type
Scatter plot analysis of clinical quality vs satisfaction
Linear Regression model (R² = 0.904, RMSE = 2.63pp)
Random Forest model for feature importance validation

Key Findings and Recommendations
Nurse communication and patient recommendation rates are the dominant predictors of overall satisfaction — far outweighing clinical quality measures.
Critical Access hospitals consistently outperform Acute Care hospitals on patient satisfaction despite generally having fewer resources.
Mortality, safety, and readmission measures have near-zero correlation with satisfaction scores, confirming that patient experience captures a fundamentally different aspect of care than clinical outcomes.
VA/DOD hospitals outperform expectations on satisfaction compared to private hospitals.
Nonprofit vs for-profit ownership has minimal impact on satisfaction scores.

Tools
Python · Pandas · Scikit-learn · Matplotlib · Seaborn · Jupyter Notebook

Visualizations
hcahps_distributions
hcahps_correlation
satisfaction_by_ownership
satisfaction_by_hospital_type
satisfaction_vs_quality
regression_coefficients

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Exploratory analysis and predictive modeling of patient satisfaction across 4,789 U.S. hospitals using CMS HCAHPS public data — Python, Scikit-learn, Matplotlib

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