ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2000
How much does self-reported health status, measured by the SF-36, vary between electoral wards with different Jarman and Townsend scores?
Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 17 citations in OpenAlex.
- Neighbourhood characteristics and trajectories of health functioning: a multilevel prospective analysis.European journal of public health · 2008Article
- Places, people, and their physical and mental functional health.Journal of epidemiology and community health · 2004Article
- Prevalence of breastfeeding at four months in general practices in south London.The British journal of general practice : the journal of the Royal College of General Practitioners · 2001Article
- Unequal to the task: deprivation, health and UK general practice at the millennium.The British journal of general practice : the journal of the Royal College of General Practitioners · 2001Review
- Does Council Tax Valuation Band (CTVB) correlate with Under-Privileged Area 8 (UPA8) score and could it be a better 'Jarman Index'?BMC public health · 2001Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe best way for practices to determine the health status of patients living in areas with different socioeconomic characteristics is unclear.
aimsTo see how much SF-36 health status varies between electoral wards, how much of this variation can be explained by census-derived Jarman and Townsend scores, and compare the performance of census scores with direct socioeconomic information.
methodA postal questionnaire survey of 3000 randomly selected 18 to 75-year-olds residing in 15 electoral wards and registered with two urban practices.
resultsThe response rate was 73%. Only two of the eight SF-36 domains were significantly associated with Jarman scores, whereas seven domains were associated with the Townsend score. Of the four socioeconomic variables derived directly from the survey, unemployment showed the weakest association, housing tenure was associated with seven domains, and car ownership and low income were associated with all eight. Income explained between 47% to 71% of the variation across the eight domains.
conclusionThe most accurate predictions about health status were made from direct socioeconomic information. Nonetheless, the association between Townsend score and health status was strong enough to be of practical importance. This study cautions against assuming the Jarman score of a population has a clear relationship with its health status.
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Identifiers
11042914PMC1313773W1959809666What OpenQuestion holds
Registered trials
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