Evidence map›Paper›PMID 18631388›Full record

ArticleInternational journal of health geographics2008

Practice postcode versus patient population: a comparison of data sources in England and Scotland.

Gary McLean, Bruce Guthrie, Graham Watt, Mark Gabbay, Catherine A O'Donnell

Abstract readComparative Study
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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 · 2015
    Article
  6. Catchments of general practice in different countries--a literature review.International journal of health geographics · 2014
    Review
  7. Observational
  8. 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 · 2011
    Article
  9. Article
  10. 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 · 2009
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Gary McLeanGeneral Practice and Primary Care, Division of Community-based Sciences, University of Glasgow, Glasgow, 1 Horselethill Road Glasgow, G12 9LX, UK. gml17y@clinmed.gla.ac.uk
Bruce Guthrie
Graham Watt
Mark Gabbay
Catherine A O'Donnell

Funding

Department of Health
6 · The paper itself

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.

Indexed as

Population SurveillanceQuality of Health CareResidence CharacteristicsEnglandHealth Status IndicatorsHumansIncomePostal ServiceScotlandSocial Class

Identifiers

PMID18631388
PMCPMC2490685

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.