Journal ArticleDOI
The MOS 36-Item Short-Form Health Survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs.
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In this article, cross-sectional data from the Medical Outcomes Study (MOS) were analyzed to test the validity of the MOS 36-Item Short-Form Health Survey (SF-36) scales as measures of physical and mental health constructs.Abstract:
Cross-sectional data from the Medical Outcomes Study (MOS) were analyzed to test the validity of the MOS 36-Item Short-Form Health Survey (SF-36) scales as measures of physical and mental health constructs. Results from traditional psychometric and clinical tests of validity were compared. Principalread more
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Journal ArticleDOI
A 12-Item Short-Form Health Survey: Construction of Scales and Preliminary Tests of Reliability and Validity
TL;DR: Twenty cross-sectional and longitudinal tests of empirical validity previously published for the 36-item short-form scales and summary measures were replicated for the 12-item Physical Component Summary and the12-item Mental Component Summary, including comparisons between patient groups known to differ or to change in terms of the presence and seriousness of physical and mental conditions.
Journal ArticleDOI
The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups.
TL;DR: Findings support the use of the SF-36 survey across the diverse populations studied and identify population groups in which use of standardized health status measures may or may not be problematic.
Journal ArticleDOI
PedsQL 4.0: reliability and validity of the Pediatric Quality of Life Inventory version 4.0 generic core scales in healthy and patient populations.
TL;DR: The PedsQL distinguished between healthy children and pediatric patients with acute or chronic health conditions, was related to indicators of morbidity and illness burden, and displayed a factor-derived solution largely consistent with the a priori conceptually-derived scales.
Journal ArticleDOI
Linking clinical variables with health-related quality of life. A conceptual model of patient outcomes
Ira B. Wilson,Paul D. Cleary +1 more
TL;DR: This model proposes a taxonomy or classification scheme for different measures of health outcome, dividing these outcomes into five levels: biological and physiological factors, symptoms, functioning, general health perceptions, and overall quality of life.
Journal ArticleDOI
Long-Term Use of a Left Ventricular Assist Device for End-Stage Heart Failure
Eric A. Rose,Annetine C. Gelijns,Alan J. Moskowitz,Daniel F. Heitjan,L.W. Stevenson,W Dembitsky,J W Long,D D Ascheim,Anita R. Tierney,R G Levitan,John T. Watson,P Meier,Nuala S. Ronan,P A Shapiro,Ronald M. Lazar,Leslie W. Miller,L Gupta,O.H. Frazier,Patrice Desvigne-Nickens,Mehmet C. Oz,V L Poirier +20 more
TL;DR: The use of a left ventricular assist device in patients with advanced heart failure resulted in a clinically meaningful survival benefit and an improved quality of life.
References
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Journal ArticleDOI
The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection.
John E. Ware,Cathy D. Sherbourne +1 more
TL;DR: A 36-item short-form survey designed for use in clinical practice and research, health policy evaluations, and general population surveys to survey health status in the Medical Outcomes Study is constructed.
Book
Introduction to Statistical Analysis
Wilfrid J. Dixon,Frank J. Massey +1 more
TL;DR: In this paper, the authors introduce statistical analysis and introduce the concept of statistical analysis in statistical analysis, and propose a framework for statistical analysis for the analysis of statistical data in the literature.
Journal ArticleDOI
The Sickness Impact Profile: development and final revision of a health status measure.
TL;DR: In this article, the authors developed the Sickness Impact Profile (SIP), a behaviorally based measure of health status, and evaluated its reliability and validity using multitrait-multimethod technique.
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A first course in factor analysis
Andrew L. Comrey,Howard B. Lee +1 more
TL;DR: In this paper, the authors present a basic understanding of factor analytic techniques so that readers can use them in their own research and critically evaluate their use by other researchers, both the underlying theory and correct application are emphasized.