John Brazier

Dr. John Brazier


Research Focus & Metrics

Academic Career Length

40Years (1987-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 July 1992 in BMJ
Verified
Journal Article
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JBJohn Brazier
John Brazier
RHR. Harper
R. Harper
NJN. M. Jones
N. M. Jones
AOA. O'CAthain
A. O'CAthain
KTK. J. Thomas
K. J. Thomas
LWL. Westlake
L. Westlake
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 (Cronbach's 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.

1 November 1998 in Journal of Clinical Epidemiology
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Journal Article
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BGBarbara Gandek
Barbara Gandek
JWJohn E. Ware
John E. Ware
NANeil K. Aaronson
Neil K. Aaronson
GAGiovanni Apolone
Giovanni Apolone
JBJakob B. Bjorner
Jakob B. Bjorner
MSMarianne Sullivan
Marianne Sullivan

1 March 2002 in Journal of Health Economics
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Journal Article
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JBJohn Brazier
John Brazier
JRJennifer Roberts
Jennifer Roberts
MDMark Deverill
Mark Deverill

18 February 2016 in PharmacoEconomics
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Journal Article
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MKMilad Karimi
Milad Karimi
JBJohn Brazier
John Brazier

1 August 2005 in Quality of Life Research
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Journal Article
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SWStephen J. Walters
Stephen J. Walters
JBJohn Brazier
John Brazier

1 September 2004 in Medical Care
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Journal Article
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JBJohn Brazier
John Brazier
JRJennifer Roberts
Jennifer Roberts
The SF-12 is a multidimensional generic measure of health-related quality of life. It has become widely used in clinical trials and routine outcome assessment because of its brevity and psychometric performance, but it cannot be used in economic evaluation in its current form. We sought to derive a preference-based measure of health from the SF-12 for use in economic evaluation and to compare it with the original SF-36 preference-based index. The SF-12 was revised into a 6-dimensional health state classification (SF-6D [SF-12]) based on an item selection process designed to ensure the minimum loss of descriptive information. A sample of 241 states defined by the SF-6D (of 7500) have been valued by a representative sample of 611 members of the UK general population using the standard gamble (SG) technique. Models are estimated of the relationship between the SF-6D (SF-12) and SG values and evaluated in terms of their coefficients, overall fit, and the ability to predict SG values for all health states. The models have produced significant coefficients for levels of the SF-6D (SF-12), which are robust across model specification. The coefficients are similar to those of the SF-36 version and achieve similar levels of fit. There are concerns with some inconsistent estimates and these have been merged to produce the final recommended model. As for the SF-36 model, there is evidence of over prediction of the value of the poorest health states. The SF-12 index provides a useful tool for researchers and policy makers wishing to assess the cost-effectiveness of interventions.