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Evaluation of Quality-of-Life Assessment Instruments for Heart Failure Patients: A Scoping Review
Modupeola Adebayo1, Julie Zadinsky2
1Wellstar School of Nursing, Wellstar College of Health & Human Services, Kennesaw State University, Kennesaw, GA.
This review assessed quality of life tools for heart failure patients, including those using wearable devices. The Patient-Reported Outcomes Measurement Information System-Plus-Heart Failure showed the best psychometric properties for measuring patient quality of life.
Area of Science:
- Cardiology
- Health Outcomes Research
- Medical Device Technology
Background:
- Heart failure (HF) impacts over 65 million individuals globally.
- Wearable devices are increasingly integrated into HF management strategies.
- Assessing quality of life (QoL) is crucial for comprehensive HF patient care.
Purpose of the Study:
- To conduct a scoping review evaluating the psychometric properties of QoL assessment instruments for HF patients.
- To specifically include QoL instruments applicable to patients using wearable left ventricular assist devices (wLVADs).
Main Methods:
- A systematic literature search was performed across medical and allied health databases.
- The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) taxonomy guided the assessment of measurement properties.
- Eighteen studies evaluating QoL instruments in HF populations were selected for review.
Main Results:
- The Patient-Reported Outcomes Measurement Information System-Plus-Heart Failure (PROMIS-Plus-HF) demonstrated the highest overall score for psychometric properties.
- Fourteen of the 18 reviewed studies met an acceptable threshold score (≥72) for their instruments.
- Four studies reported scores below the acceptable threshold, indicating potential limitations in their QoL assessment tools.
Conclusions:
- The PROMIS-Plus-HF is recommended as a robust instrument for assessing QoL in HF patients, including those with wLVADs.
- Findings provide essential guidance for clinicians, researchers, educators, and policymakers in selecting appropriate QoL assessment tools.
- Further refinement in reviewer numbers could potentially minimize bias in future systematic reviews.
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