Itinai.com an advertising light picture for medical analysis 800e68ff 5cb1 4409 8ed4 8cb641b30cf6 1
Itinai.com an advertising light picture for medical analysis 800e68ff 5cb1 4409 8ed4 8cb641b30cf6 1

Identifying Sleep Quality Patterns in Heart Failure Patients for Targeted Interventions

Understanding Sleep Quality in Heart Failure Patients

What the Study Found

This study looked at how well patients with heart failure (HF) sleep. It found three different groups of sleep patterns among these patients:

  • Group 1: 46.1% of patients had enough sleep time but experienced disturbed sleep and felt tired during the day.
  • Group 2: 25.3% of patients had serious sleep problems and used very few sleep medications.
  • Group 3: 28.6% of patients had minor sleep issues with only slight disturbances.

Who Participated in the Study

The study included 510 adults with heart failure, mostly older adults around 72 years old. Many were married and retired. Most had some other health issues, but they were not severely impaired.

Why This Matters for Patients

Understanding these sleep patterns can help doctors create personalized care plans. For example, patients with severe sleep problems may need different treatments than those with minor issues. This study shows that sleep quality is important for overall health in heart failure patients.

What Can Hospitals and Doctors Do?

  • Conduct regular sleep assessments for heart failure patients.
  • Develop personalized treatment plans based on sleep quality.
  • Integrate sleep management into heart failure care programs.

What Should Clinics Track?

  • Patients’ sleep quality over time.
  • Changes in patients’ physical and mental health.
  • Use of sleep medications and their effectiveness.

AI Tools to Consider

Clinics can use AI tools to analyze sleep data and predict which patients may need more help with sleep issues. These tools can help in personalizing care plans effectively.

Step-by-Step Plan for Clinics

  1. Start Small: Begin by assessing sleep quality in a small group of heart failure patients.
  2. Gather Data: Use simple questionnaires to track sleep patterns and related health issues.
  3. Develop Plans: Create personalized care plans based on the sleep data collected.
  4. Expand Gradually: As you learn more, include more patients and refine your approach.

Learn More About the Research

For more details, you can read the full study here.

AI-Powered Health Tools

Interactive AI Tools to Help You Understand Your Health

Solutions for Smart Healthcare

Clinical Research