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Estimating smoking prevalence in general practice using data from the Quality and Outcomes Framework (QOF)
Kate Honeyford1, Richard Baker1, M John G Bankart2
1Department of Health Sciences, University of Leicester, Leicester, UK.
Quality and Outcomes Framework (QOF) data effectively estimate smoking prevalence in general practice populations and local areas. These estimates are useful for public health research, including assessing coronary heart disease (CHD) mortality risks.
Area of Science:
- Public Health
- Epidemiology
- Health Services Research
Background:
- The Quality and Outcomes Framework (QOF) collects data on general practices in the UK.
- Estimating smoking prevalence is crucial for public health interventions and policy development.
- Utilizing routinely collected data can enhance the efficiency of health research.
Purpose of the Study:
- To assess the utility of Quality and Outcomes Framework (QOF) data for estimating smoking prevalence.
- To determine the accuracy of QOF-derived smoking prevalence estimates in practice populations and local areas.
- To explore the usefulness of these estimates in health outcome analyses.
Main Methods:
- A cross-sectional, observational study analyzed QOF smoking indicator data from East Midlands primary care practices (2006/2007-2012/2013).
- Smoking prevalence was estimated for general practice populations and patients with chronic conditions.
- QOF-based estimates were compared with Integrated Household Survey (IHS) data, and their impact on coronary heart disease (CHD) mortality models was assessed.
Main Results:
- Median smoking prevalence in practice populations was 19.2% (2012/2013).
- Good agreement was found between aggregated QOF estimates and IHS local authority district estimates (mean difference: 0.39%).
- QOF data revealed a positive association between smoking prevalence and premature CHD mortality.
Conclusions:
- Published QOF data provide valuable estimates of smoking prevalence within general practice populations and for individuals with chronic conditions.
- Aggregated QOF data can yield useful smoking prevalence estimates for local areas.
- QOF data enhance the ability to study the impact of smoking on population health outcomes.
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