Health inequalities - area profile

Atlas maps data from health inequality profiles

2008 Health Inequalities Profiles: Data sources

Links to data sources and methods as used in the production of erpho's 2008 Health Inequalities Profiles. This year's profiles cover the same indicators as previous profiles. Changes since last year:> A fifth time period: 2005-07> Updated populations > IMD 2007> Standardised against European Standard Population> Added comparator area 'All but most deprived' (80/20)

Tackling health inequalities: 2007 Status Report on the Programme for Action

The status report provides a review of developments against the data since the publication of the Programme for Action in 2003. It considers progress against the Public Service Agreement (PSA) target, the national headline indicators and against government commitments. The report highlights the challenging nature of the health inequalities PSA target for 2010.

Briefing 21: Inequalities in Primary Care in the East of England

This report focuses on inequalities in primary care as indicated by the Quality and Outcomes Framework.

Binary classification of dyslipidemia from the waist-to-hip ratio and body mass index: a comparison of linear, logistic, and CART models.

BACKGROUND: We sought to improve upon previously published statistical modeling strategies for binary classification of dyslipidemia for general population screening purposes based on the waist-to-hip circumference ratio and body mass index anthropometric measurements. METHODS: Study subjects were participants in WHO-MONICA population-based surveys conducted in two Swiss regions. Outcome variables were based on the total serum cholesterol to high density lipoprotein cholesterol ratio. The other potential predictor variables were gender, age, current cigarette smoking, and hypertension. The models investigated were: (i) linear regression; (ii) logistic classification; (iii) regression trees; (iv) classification trees (iii and iv are collectively known as "CART"). Binary classification performance of the region-specific models was externally validated by classifying the subjects from the other region. RESULTS: Waist-to-hip circumference ratio and body mass index remained modest predictors of dyslipidemia. Correct classification rates for all models were 60-80%, with marked gender differences. Gender-specific models provided only small gains in classification. The external validations provided assurance about the stability of the models. CONCLUSIONS: There were no striking differences between either the algebraic (i, ii) vs. non-algebraic (iii, iv), or the regression (i, iii) vs. classification (ii, iv) modeling approaches. Anticipated advantages of the CART vs. simple additive linear and logistic models were less than expected in this particular application with a relatively small set of predictor variables. CART models may be more useful when considering main effects and interactions between larger sets of predictor variables.

Measuring health inequalities II

Exploring and using summary measures of inequality often used in economics such as Gini Coefficients and Theil Index to summarise and compare intra-PCT health inequalities

Commissioning for equity. A briefing on inequalities in access to revascularisation in the NHS and in the independent sector among London residents

This briefing describes inequalities in access to revascularisation using data from both the NHS and the independent sector.

Commissioning for equity. Inequalities in access to revascularisation in the NHS and in the independent sector. A technical report

This document describes the methodology for examining inequalities in access to revascularisation in the NHS and in the independent sector. It is a technical report.

London Health Observatory - Inequalities Reports

Inequality reports from the London Health Observatory from 1996 to 2010.

The London health inequalities forecast: Technical document

This paper describes the data and methods used in the London health inequalities forecast: A briefing on inequalities in life expectancy and deaths from cancers, heart disease and stroke in London. Links to relevant data sources and further information are also provided where possible.

The London health inequalities forecast: A briefing on inequalities in life expectancy and deaths from cancers, heart disease and stroke in London

This briefing considers the national health inequalities targets which must be met by 2010. The targets include those set for heart disease and stroke, cancers and life expectancy.

Health Inequalities Target Data Web Tool - Updated to 2003-05

This tool contains the data for the LHO briefing "The London Health Inequalities Forecast: A briefing on inequalities in life expectancy and deaths from cancers, heart disease and stroke in London". The tool enables local areas to monitor their progress towards the national health inequalities targets for life expectancy, mortality from heart disease and stroke, and mortality from cancers.

Spearhead Health Inequalities Intervention Tool: frequently asked questions

This document answers some common questions about the use of the Spearhead Health Inequalities Intervention Tool.

Spearhead Health Inequalities Intervention Tool: technical document

This document describes the technical detail behind the Spearhead Health Inequalities Intervention Tool.

Health Inequalities Intervention Tool (2008)

This tool is designed to support Primary Care Trusts with their Local Delivery Planning and commissioning