Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Minnesota Living with Heart Failure Questionnaire (MLHFQ)× | New York Heart Association (NYHA) Functionele Classificatie× | |
|---|---|---|
| Vakgebied | Cardiologie | Cardiologie |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 1987 | 1994 |
| Grondlegger≠ | Timothy S. Rector | New York Heart Association |
| Type≠ | Self-report questionnaire | Ordinal clinician-assessment classification system |
| Oorspronkelijke bron≠ | Rector, T. S., Kubo, S. H., & Cohn, J. N. (1987). Patients' self-assessment of their congestive heart failure. Part 2: Content, reliability and responsiveness of a new measure, the Minnesota Living with Heart Failure Questionnaire. Heart Failure, 3(5), 198–209. link ↗ | The Criteria Committee of the New York Heart Association. (1994). Nomenclature and Criteria for Diagnosis of Diseases of the Heart and Great Vessels (9th ed.). Little, Brown and Company. link ↗ |
| Aliassen≠ | MLHFQ | NYHA, NYHA Class, Functional Classification |
| Verwant | 4 | 4 |
| Samenvatting≠ | The Minnesota Living with Heart Failure Questionnaire (MLHFQ) is a 21-item self-report measure that quantifies the multidimensional burden of heart failure on patients' daily living and quality of life. Developed by Rector, Kubo, and Cohn in 1987, the MLHFQ is the most widely used disease-specific QoL instrument in heart failure research and clinical practice, valued for its brevity, sensitivity to treatment response, and predictive value for prognosis. | The New York Heart Association (NYHA) Functional Classification is a four-category ordinal system for grading heart failure severity based on the level of physical activity that precipitates dyspnea or other HF symptoms. Established by the NYHA in 1928 and refined in 1994, the NYHA classification is the oldest and most widely used functional status metric in cardiology, providing a simple, clinically intuitive framework for describing HF symptom burden, guiding treatment intensity, and predicting prognosis. |
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