Health Inequality Profiles 2008 - MSOA level data (v2)

Using mortality and population data from 2001 to 2007 DSRs and life expectancy were calculated for all Middle Layer Super Output Areas in the East of England.

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.

Tackling health inequalities: 2004-06 data and policy update for the 2010 national target

This document provides an update on progress to meet the health inequalities national target to reduce the gap as measured by infant mortality and life expectancy, by 10% by 2010. It includes an assessment of whether the 70 spearhead area local authorities, which map to 62 PCTs, are on track to meet the life expectancy target.

Health inequality target monitoring: update to include data for 2006

These reports summarise progress against Department of Health inequality targets for 2010 in the following areas: Infant mortality; life expectancy at birth for males and for females; cancer (premature mortality rate) and all circulatory diseases (premature mortality rate). Key facts Infant mortality The inequality gap in the infant mortality rate has reduced for the second consecutive period, though not yet by a sufficient amount to meet the target, based on the trend since the current socio economic classifications were introduced in 2001. Life expectancy at birth (males and females) The inequality gaps in male and female life expectancy at birth have both increased since the baseline. If current trends continue, the target would not be met. Cancer mortality The inequality gap in cancer mortality has declined since the baseline (despite a slight increase in the latest period), and the minimum requirement for the 2010 target has already been met. All circulatory diseases mortality The inequality gap in circulatory disease mortality has declined, and is on track to meet the target.

Tackling health inequalities: 2005-07 policy and data update for the 2010 national target

This document provides an update on progress to meet the health inequalities national target to reduce the gap as measured by infant mortality and life expectancy, by 10% by 2010. It includes an assessment of whether the 70 spearhead area local authorities, which map to 62 PCTs, are on track to meet the life expectancy target.

Mortality target monitoring: infant mortality, inequalities. Update to include data for 2008

The 2008 annual update on infant mortality rates to monitor progress against the Department of Health infant mortality inequality PSA target.

Briefing 24: NCMP data 2008/9, East of England: Data quality

One in a series of six data briefings based on regional-level analysis of data from the National Child Measurement Programme (NCMP) undertaken by the National Obesity Observatory (NOO). The briefings are intended to complement the headline results for the region published in January 2010. This briefing covers issues relating to the quality and completeness of the NCMP data. Detailed analysis of the NCMP at national level is available from NOO at http://www.noo.org.uk/NOO_pubInformation on the methods used to

Briefing 25: NCMP data 2008/9, East of England: Body Mass Index (BMI) thresholds

One in a series of six data briefings based on regional-level analysis of data from the National Child Measurement Programme (NCMP) undertaken by the National Obesity Observatory (NOO). The briefings are intended to complement the headline results for the region published in January 2010, at Quick Link 20510.

Briefing 26: NCMP data 2008/9, East of England: Ethnicity

One in a series of six data briefings based on regional-level analysis of data from the National Child Measurement Programme (NCMP) undertaken by the National Obesity Observatory (NOO). The briefings are intended to complement the headline results for the region published in January 2010, at Quick Link 20510.

Briefing 27: NCMP data 2008/9, East of England: Deprivation

One in a series of six data briefings based on regional-level analysis of data from the National Child Measurement Programme (NCMP) undertaken by the National Obesity Observatory (NOO). The briefings are intended to complement the headline results for the region published in January 2010, at Quick Link 20510.

Briefing 28: NCMP data 2008/9, East of England: Gender

One in a series of six data briefings based on regional-level analysis of data from the National Child Measurement Programme (NCMP) undertaken by the National Obesity Observatory (NOO). The briefings are intended to complement the headline results for the region published in January 2010, at Quick Link 20510.

Briefing 29: NCMP data 2008/9, East of England: ONS SOA classification

One in a series of six data briefings based on regional-level analysis of data from the National Child Measurement Programme (NCMP) undertaken by the National Obesity Observatory (NOO). The briefings are intended to complement the headline results for the region published in January 2010, at Quick Link 20510.

Indicator 11.9 - Data - Prevalence of obesity in reception year pupils

This indicator is part of the London Health Observatory's Health Inequaliies Basket of Indicators.

Preliminary data on the performance of Aedes aegypti and Aedes albopictus immatures developing in water-filled tires in Rio de Janeiro

A monthly survey of Aedes aegypti and Aedes albopictus immatures in discarded tires at a site in metropolitan Rio de Janeiro showed that Ae. albopictus was much more abundant in the rainy season, but Ae. aegypti abundance showed a less clear seasonal pattern. Pupal masses for Ae. albopictus showed a seasonal trend. In contrast, Ae. aegypti pupae did not show any clear trend in weight. Large Ae. albopictus pupae were found in the warmer months, when water volume was higher, pH lower, and larval abundance lower. Further studies should be carried out to assess how seasonal variations in body size may impact vector competence of these species in Brazil.

The effect of patient, provider and financing regulations on the intensity of ambulatory physical therapy episodes : a multilevel analysis based on routinely available data

Background: Many studies have found considerable variations in the resource intensity of physical therapy episodes. Although they have identified several patient-and provider-related factors, few studies have examined their relative explanatory power. We sought to quantify the contribution of patients and providers to these differences and examine how effective Swiss regulations are (nine-session ceiling per prescription and bonus for first treatments). Methods: Our sample consisted of 87,866 first physical therapy episodes performed by 3,365 physiotherapists based on referrals by 6,131 physicians. We modeled the number of visits per episode using a multilevel log linear regression with crossed random effects for physiotherapists and physicians and with fixed effects for cantons. The three-level explanatory variables were patient, physiotherapist and physician characteristics. Results: The median number of sessions was nine (interquartile range 6-13). Physical therapy use increased with age, women, higher health care costs, lower deductibles, surgery and specific conditions. Use rose with the share of nine-session episodes among physiotherapists or physicians, but fell with the share of new treatments. Geographical area had no influence. Most of the variance was explained at the patient level, but the available factors explained only 4% thereof. Physiotherapists and physicians explained only 6% and 5% respectively of the variance, although the available factors explained most of this variance. Regulations were the most powerful factors. Conclusion: Against the backdrop of abundant physical therapy supply, Swiss financial regulations did not restrict utilization. Given that patient-related factors explained most of the variance, this group should be subject to closer scrutiny. Moreover, further research is needed on the determinants of patient demand.