Imperial College London
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Dr Kate Honeyford

Faculty of Medicine, School of Public Health

Honorary Research Associate
 
 
 
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Contact

 

k.honeyford

 
 
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Location

 

Reynolds BuildingCharing Cross Campus

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Summary

 

Publications

Citation

BibTex format

@article{Honeyford:2014:10.1136/bmjopen-2014-005217,
author = {Honeyford, K and Baker, R and Bankart, MJG and Jones, DR},
doi = {10.1136/bmjopen-2014-005217},
journal = {BMJ Open},
title = {Estimating smoking prevalence in general practice using data from the Quality and Outcomes Framework (QOF)},
url = {http://dx.doi.org/10.1136/bmjopen-2014-005217},
volume = {4},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Objectives: To determine to what extent underlyingdata published as part of Quality and OutcomesFramework (QOF) can be used to estimate smokingprevalence within practice populations and localareas and to explore the usefulness of theseestimates.Design: Cross-sectional, observational study of QOFsmoking data. Smoking prevalence in generalpractice populations and among patients with chronicconditions was estimated by simple manipulation ofQOF indicator data. Agreement between estimatesfrom the integrated household survey (IHS) andaggregated QOF-based estimates was calculated. Theimpact of including smoking estimates in negativebinomial regression models of counts of prematurecoronary heart disease (CHD) deaths was assessed.Setting: Primary care in the East Midlands.Participants: All general practices in the area ofstudy were eligible for inclusion (230). 14 practiceswere excluded due to incomplete QOF data for theperiod of study (2006/2007–2012/2013). Onepractice was excluded as it served a restrictedpractice list.Measurements: Estimates of smoking prevalence ingeneral practice populations and among patients withchronic conditions.Results: Median smoking prevalence in the practicepopulations for 2012/2013 was 19.2% (range5.8–43.0%). There was good agreement (meandifference: 0.39%; 95% limits of agreement (−3.77,4.55)) between IHS estimates for local authoritydistricts and aggregated QOF register estimates.Smoking prevalence estimates in those with chronicconditions were lower than for the general population(mean difference −3.05%), but strongly correlated(Rp=0.74, p<0.0001). An important positiveassociation between premature CHD mortality andsmoking prevalence was shown when smokingprevalence was added to other population and servicecharacteristics.Conclusions: Published QOF data allow usefulestimation of smoking prevalence within practicepopulations and in those with chronic conditions; thelatter estimates may sometimes be useful in place o
AU  - Honeyford,K
AU  - Baker,R
AU  - Bankart,MJG
AU  - Jones,DR
DO  - 10.1136/bmjopen-2014-005217
PY  - 2014///
SN  - 2044-6055
TI  - Estimating smoking prevalence in general practice using data from the Quality and Outcomes Framework (QOF)
T2  - BMJ Open
UR  - http://dx.doi.org/10.1136/bmjopen-2014-005217
UR  - http://hdl.handle.net/10044/1/48349
VL  - 4
ER  -
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