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Validating the SF-36 health survey questionnaire: new outcome measure for primary care.

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TLDR
The SF-36 was able to detect low levels of ill health in patients who had scored 0 (good health) on the Nottingham health profile and is a promising new instrument for measuring health perception in a general population.
Abstract
OBJECTIVES--To test the acceptability, validity, and reliability of the short form 36 health survey questionnaire (SF-36) and to compare it with the Nottingham health profile. DESIGN--Postal survey using a questionnaire booklet together with a letter from the general practitioner. Non-respondents received two reminders at two week intervals. The SF-36 questionnaire was retested on a subsample of respondents two weeks after the first mailing. SETTING--Two general practices in Sheffield. PATIENTS--1980 patients aged 16-74 years randomly selected from the two practice lists. MAIN OUTCOME MEASURES--Scores for each health dimension on the SF-36 questionnaire and the Nottingham health profile. Response to questions on recent use of health services and sociodemographic characteristics. RESULTS--The response rate for the SF-36 questionnaire was high (83%) and the rate of completion for each dimension was over 95%. Considerable evidence was found for the reliability of the SF-36 (Cronbach9s alpha greater than 0.85, reliability coefficient greater than 0.75 for all dimensions except social functioning) and for construct validity in terms of distinguishing between groups with expected health differences. The SF-36 was able to detect low levels of ill health in patients who had scored 0 (good health) on the Nottingham health profile. CONCLUSIONS--The SF-36 is a promising new instrument for measuring health perception in a general population. It is easy to use, acceptable to patients, and fulfils stringent criteria of reliability and validity. Its use in other contexts and with different disease groups requires further research.

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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

Cross-cultural adaptation of health-related quality of life measures: literature review and proposed guidelines.

TL;DR: These guidelines include recommendations for obtaining semantic, idiomatic, experiential and conceptual equivalence in translation by using back-translation techniques and committee review, pre-testing techniques and re-examining the weight of scores.
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

SF-36 health survey update.

Jr. John E. Ware
- 15 Dec 2000 - 
TL;DR: The SF-36 (Medical Outcomes Trust, Boston, MA) is a multipurpose, short-form health survey with only 36 questions, which yields an eight-scale profile of scores as well as physical and mental health summary measures as mentioned in this paper.
References
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TL;DR: An alternative approach, based on graphical techniques and simple calculations, is described, together with the relation between this analysis and the assessment of repeatability.
Journal ArticleDOI

The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection.

John E. Ware, +1 more
- 01 Jun 1992 - 
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.
Journal ArticleDOI

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TL;DR: This transmutability of the validation matrix argues for the comparisons within the heteromethod block as the most generally relevant validation data, and illustrates the potential interchangeability of trait and method components.
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Statistical methods for assessing agreement between two methods of clinical measurement

TL;DR: In this article, an alternative approach, based on graphical techniques and simple calculations, is described, together with the relation between this analysis and the assessment of repeatability, which is often used in clinical comparison of a new measurement technique with an established one.
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