Translation and psychometric validation of the Heart Failure Symptom Tracker (HFaST)
2024

Heart Failure Symptom Tracker for Portuguese Patients

Sample size: 60 publication 10 minutes Evidence: high

Author Information

Author(s): Maria Inês Perez, Joana Seringa, Teresa Magalhães

Primary Institution: NOVA University Lisboa, Lisbon, Portugal

Hypothesis

Higher scores of the HFaST are associated with increased hospitalisations due to HF decompensation.

Conclusion

The Portuguese version of the HFaST is a reliable tool that can predict hospitalisation risk in heart failure patients.

Supporting Evidence

  • Higher HFaST scores were significantly associated with increased hospitalisations.
  • The tool showed 95% comprehensibility in pre-tests.
  • Internal consistency of the HFaST tool was acceptable with a Cronbach’s Alpha of 0.724.
  • Moderate to strong inter-item correlations were observed.
  • Patients with lower social limitation scores had higher HFaST scores.

Takeaway

This study created a tool to help heart failure patients in Portugal track their symptoms, which can help doctors know when they might need to go to the hospital.

Methodology

The study involved translating the HFaST tool into Portuguese, assessing its validity with expert evaluations and cognitive interviews, and testing its psychometric properties in heart failure patients.

Limitations

The study focused only on outpatients and did not include hospitalised patients, which may limit the applicability of the findings.

Participant Demographics

60% male, mean age 63.75 years, 61.7% married, 35% with high school education.

Statistical Information

P-Value

<0.001

Confidence Interval

95% CI: 10–18 for admitted patients; 95% CI: 5–8 for non-admitted patients.

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.1186/s12872-024-04424-7

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