Estimating smoking prevalence in general practice using data from the Quality and Outcomes Framework (QOF)..pdf (1.38 MB)
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Estimating smoking prevalence in general practice using data from the Quality and Outcomes Framework (QOF)

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journal contribution
posted on 13.07.2015, 15:36 by Kate Honeyford, Richard Baker, M. J. Bankart, David R. Jones
Objectives: To determine to what extent underlying data published as part of Quality and Outcomes Framework (QOF) can be used to estimate smoking prevalence within practice populations and local areas and to explore the usefulness of these estimates. Design: Cross-sectional, observational study of QOF smoking data. Smoking prevalence in general practice populations and among patients with chronic conditions was estimated by simple manipulation of QOF indicator data. Agreement between estimates from the integrated household survey (IHS) and aggregated QOF-based estimates was calculated. The impact of including smoking estimates in negative binomial regression models of counts of premature coronary heart disease (CHD) deaths was assessed. Setting: Primary care in the East Midlands. Participants: All general practices in the area of study were eligible for inclusion (230). 14 practices were excluded due to incomplete QOF data for the period of study (2006/2007–2012/2013). One practice was excluded as it served a restricted practice list. Measurements: Estimates of smoking prevalence in general practice populations and among patients with chronic conditions. Results: Median smoking prevalence in the practice populations for 2012/2013 was 19.2% (range 5.8–43.0%). There was good agreement (mean difference: 0.39%; 95% limits of agreement (−3.77, 4.55)) between IHS estimates for local authority districts and aggregated QOF register estimates. Smoking prevalence estimates in those with chronic conditions were lower than for the general population (mean difference −3.05%), but strongly correlated (Rp=0.74, p<0.0001). An important positive association between premature CHD mortality and smoking prevalence was shown when smoking prevalence was added to other population and service characteristics. Conclusions: Published QOF data allow useful estimation of smoking prevalence within practice populations and in those with chronic conditions; the latter estimates may sometimes be useful in place of the former. It may also provide useful estimates of smoking prevalence in local areas by aggregating practice based data.

History

Citation

BMJ Open, 2014, 4 (7), e005217

Author affiliation

/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/School of Medicine/Department of Health Sciences

Version

VoR (Version of Record)

Published in

BMJ Open

Publisher

BMJ Publishing Group: Open Access

eissn

2044-6055

Acceptance date

13/06/2014

Copyright date

2013

Available date

13/07/2015

Publisher version

http://bmjopen.bmj.com/content/4/7/e005217

Notes

PMCID: PMC4120299

Language

en