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Updated: Nov 9, 2025

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Effective Analysis of Inpatient Satisfaction: The Random Forest Algorithm.

Chengcheng Li1, Conghui Liao2, Xuehui Meng3

  • 1School of Humanities and Social Sciences, Guangxi Medical University, Nanning, 530021, People's Republic of China.

Patient Preference and Adherence
|April 15, 2021
PubMed
Summary
This summary is machine-generated.

Patient satisfaction in hospitals is influenced by factors like information access, nursing response times, and staff integrity. Improving these elements enhances patient experience and hospital efficiency.

Keywords:
inpatient satisfactionkey influencing factorspublic hospitalsrandom forest

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Area of Science:

  • Healthcare Management
  • Health Services Research
  • Patient Experience

Background:

  • Inpatient satisfaction is a critical indicator of healthcare quality.
  • Understanding influencing factors is essential for improving hospital services and resource allocation.

Purpose of the Study:

  • To identify key factors affecting inpatient satisfaction.
  • To fit an optimal discriminant model for predicting patient satisfaction.

Main Methods:

  • A cross-sectional survey involving 3888 patients across 16 public hospitals in Zhejiang Province.
  • Single-factor analysis for variable screening and comprehensive evaluation of variable importance.
  • Utilized receiver operating characteristic curve to fit the optimal model and evaluated relative risk via marginal benefit.

Main Results:

  • Overall inpatient satisfaction was 79.73%.
  • Top five factors influencing satisfaction: patients' right to know, timely nursing response, medical staff service, staff integrity, and diagnostic accuracy.
  • Random forest model demonstrated superior prediction accuracy compared to multiple logistic regression and naive Bayesian models.

Conclusions:

  • Inpatient satisfaction is significantly linked to healthcare quality, diagnostic accuracy, and treatment processes.
  • Addressing factors like communication, waiting times, and staff competence can reduce costs and improve patient outcomes.
  • Public hospitals should prioritize doctor-patient communication, efficient service delivery, and information transparency.