ArticleInternational journal of health geographics2008
Practice postcode versus patient population: a comparison of data sources in England and Scotland.
Article in International journal of health geographics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- General practice characteristics associated with pay-for-performance in the UK: a systematic review.BJGP open · 2025Article
- Challenges in understanding inequities in help-seeking for possible cancer symptoms.BMC global and public health · 2024Review
- Associations between exemption and survival outcomes in the UK's primary care pay-for-performance programme: a retrospective cohort study.BMJ quality & safety · 2016Article
- Inequalities in physical comorbidity: a longitudinal comparative cohort study of people with severe mental illness in the UK.BMJ open · 2015Article
- General practice funding underpins the persistence of the inverse care law: cross-sectional study in Scotland.The British journal of general practice : the journal of the Royal College of General Practitioners · 2015Article
- Catchments of general practice in different countries--a literature review.International journal of health geographics · 2014Review
- Estimating smoking prevalence in general practice using data from the Quality and Outcomes Framework (QOF).BMJ open · 2014Observational
- Impact of the GP contract on inequalities associated with influenza immunisation: a retrospective population-database analysis.The British journal of general practice : the journal of the Royal College of General Practitioners · 2011Article
- Primary care capitation payments in the UK. An observational study.BMC health services research · 2010Article
- Practice size and service provision in primary care: an observational study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2009Article
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Authors and funding
5 authors.
Funding
Abstract
backgroundHealth professionals, policy-makers and researchers need to be able to explore potential associations between prevalence rates and quality of care with a range of possible determinants including socio-economic deprivation and morbidity levels to determine the impact of commissioning and service delivery. In the UK, data in England are only available nationally at practice postcode level. In Scotland, such data are available based on an aggregate of the practices population's postcodes. The use of data assigned to the practice postcode may underestimate the association between ill health and income deprivation. Here, we report on the impact of using data assigned to the practice population by comparing analyses using English and Scottish data.
resultsIncome deprivation based on data assigned to the practice postcode under-estimated deprivation compared to using income deprivation data assigned to the practice population for the five least deprived deciles, and over-estimated deprivation for the five most deprived deciles. The biggest differences were found for the most deprived decile. A similar trend was found for limiting long-term illness (LLTI). Differences between the QOF prevalence rates of the least and most deprived deciles using practice postcode data were similar (0.2% points or less) in England and Scotland for 8 out of 10 clinical domains. Using practice population assigned deprivation, differences in the prevalence rate between the least and most deprived deciles increase for all clinical domains. A similar trend was again found for LLTI. Using practice population assigned deprivation, differences for population achievement increase for all CHD quality indicators with the exception of beta-blockers (CHD10). With practice postcode assigned deprivation, significant differences between the least and most deprived deciles were found for 2 out 8 indicators, compared to 5 using practice population assigned deprivation. For LLTI differences between the lowest and most deprived deciles increased for all indicators when ill health assigned to the practice population was used.
conclusionWe have found, through comparing deprivation and ill health data assigned to either the practice postcode or the practice population postcode in Scotland, that analyses based on practice postcode assigned data under-estimated the relationship between deprivation and ill health for both prevalence and quality care. Given the importance of understanding the effect of deprivation and ill health on a range of determinants related to health care, policy makers should ensure that practice population data are available and used at national level in England and elsewhere where possible.
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