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Comparison of SF-36 and RAND-36 in Cardiovascular Diseases: A Reliability Study
Estrella García-Sánchez1, Mirian Santamaría-Peláez2, Eva Benito Figuerola1
1Cardiac Rehabilitation Unit, Rehabilitation Service, University Hospital of Burgos, 09006 Burgos, Spain.
Insights
Both the Short Form 36 Health Survey (SF-36) and the RAND 36-Item Health Survey (RAND-36) demonstrate reliable health-related quality of life measurements in cardiovascular disease patients. These findings support their use in clinical practice for monitoring patient outcomes.
Area of Science:
- Cardiology
- Health Outcomes Research
- Psychometrics
Background:
- Cardiovascular diseases (CVD) are a major global health burden, necessitating effective tools to assess patient impact.
- Health-related quality of life (HRQoL) is vital for evaluating CVD effects and guiding treatment.
- The reliability of common HRQoL instruments like SF-36 and RAND-36 may differ across patient populations.
Purpose of the Study:
- To compare the reliability of the SF-36 and RAND-36 questionnaires.
- To determine which instrument provides a more consistent and useful HRQoL measurement in cardiac patients.
- To address the suitability of these tools for a specific patient group with cardiac pathology.
Main Methods:
- A cross-sectional observational study involving 413 patients with cardiovascular pathology.
- Inclusion criteria focused on patients referred to a Cardiac Rehabilitation Unit.
- Reliability was assessed using internal consistency (Cronbach's alpha), item-total correlation, and split-half analysis.
Main Results:
- Both SF-36 and RAND-36 exhibited adequate and comparable reliability in the studied cardiovascular patient cohort.
- Cronbach's alpha values exceeded 0.80 for most dimensions, indicating strong internal consistency.
- Inter-item and inter-dimension correlations were significant, with minor exceptions in the 'Physical Functioning' dimension for both scales.
Conclusions:
- The SF-36 and RAND-36 are both highly reliable instruments for assessing HRQoL in patients with cardiovascular disease.
- These findings have practical implications for selecting appropriate HRQoL monitoring tools in clinical settings.
- The study supports the use of these questionnaires for evaluating the effectiveness of therapeutic interventions in cardiac patients.
Abstract:
Background/Objectives: Cardiovascular diseases are one of the leading causes of morbidity and mortality worldwide. Health-related quality of life is crucial to assess the impact of cardiovascular diseases and to guide therapeutic strategies. The Short Form 36 Health Survey and the RAND 36-Item Health Survey questionnaires are common tools for measuring health-related quality of life in patients with cardiovascular disease, but their reliability may vary according to the population studied. The aim of this study is to compare the reliability of the SF-36 and the RAND-36 in a population with cardiac pathology, addressing the question of which of these instruments offers a more consistent and useful measurement in this specific group. Methods: A cross-sectional observational study was carried out at the University Hospital of Burgos (Spain). A total of 413 patients with cardiovascular pathology referred to the Cardiac Rehabilitation Unit were included. Patients with incomplete data or who did not participate in the program were excluded. Internal consistency (Cronbach's alpha), item-total correlation and reliability, and a half-and-half analysis were performed. Results: Both questionnaires showed similar and adequate reliability for patients with cardiovascular pathology. Internal consistency, as measured with Cronbach's alpha, was above 0.80 for most dimensions, supporting its robustness. Significant inter-item and inter-dimension correlations were found in both scales, except in some specific cases in the dimension 'Physical Functioning'. The half-and-half analysis confirmed the good reliability of both scales. Conclusions: Both the SF-36 and the RAND-36 are highly reliable tools for assessing health-related quality of life in patients with cardiovascular disease. The results may have significant implications for clinical practice, helping in the selection of health-related quality of life monitoring instruments and in the evaluation of the efficacy of therapeutic interventions.
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