Login / Signup

Using Nomogram to Predict the Hospitalization Forgone Among Internal Migrants in China: A Nationally Representative Cross-Sectional Secondary Data Analysis.

Li NiuYan LiuXin Wang
Published in: Risk management and healthcare policy (2021)
This study identified some possible factors contributing to migrant's hospitalization forgone: being single, male and middle-aged, having fixed health insurance, and having bad or great self-evaluated health. By integrating significant and easy-to-get prognostic factors, a nomogram was developed to estimate an individual patient's risk of hospitalization forgone, which might have practical utility and the potential to assist clinicians in making hospitalization recommendations.
Keyphrases
  • health insurance
  • prognostic factors
  • data analysis
  • cross sectional
  • middle aged
  • healthcare
  • public health
  • affordable care act
  • palliative care
  • mental health
  • squamous cell carcinoma
  • social media