ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2002
Using local authority data for action on health inequalities: the Caerphilly Health and Social Needs Study.
Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Addressing social determinants of noncommunicable diseases in primary care: a systematic review.Bulletin of the World Health Organization · 2020Pooled it
- The role of urban municipal governments in reducing health inequities: A meta-narrative mapping analysis.International journal for equity in health · 2010Article
- Measuring the neighbourhood using UK benefits data: a multilevel analysis of mental health status.BMC public health · 2007Article
- An ecometric analysis of neighbourhood cohesion.Population health metrics · 2006Article
- Council tax valuation bands, socio-economic status and health outcome: a cross-sectional analysis from the Caerphilly Health and Social Needs Study.BMC public health · 2006Article
- Comparison of perceived and modelled geographical access to accident and emergency departments: a cross-sectional analysis from the Caerphilly Health and Social Needs Study.International journal of health geographics · 2006Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrimary care organisations in the United Kingdom have been given new and challenging population health responsibilities to improve health and address health inequality in local communities through partnership working with local authorities. This requires robust health and social needs assessment data for effective local planning.
aimTo assess the use and value of local authority data shared through partnership working between Caerphilly Local Health Group and Caerphilly County Borough Council. DESIGN OF STUDY: Cross-sectional analysis of aggregate electoral division data.
settingCaephilly County Borough, south-east Wales.
methodLocal authority datasets identified were categorised into one of six domains: income, unemployment, housing, health, education, and social services. Data were presented at electoral division level as rates in thematic maps and correlations between the variables within and between each domain were explored using Spearman's rank correlation coefficient, with particular focus on children in families. Local planning documents were scrutinised to ascertain the use and value of the data.
resultsA broad range of data described a comprehensive picture of health and social inequalities within the borough. Multiple deprivation tended to cluster in electoral divisions, particularly for data relating to children, painting an overwhelming picture of inequality in life chances. The data were used in a wide range of local partnership planning initiatives, including the Health Improvement Programme, Children's Services Plan, and a successful Healthy Living Centre bid.
conclusionLocal authority data can help primary care organisations in a population approach to needs assessment for use in local partnership planning targeted at reducing health inequalities.
Indexed as
Identifiers
12392118PMC1316081What OpenQuestion holds
Registered trials
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.