Introduction
This report outlines the health equity program outcomes which are :
Elongate healthy life as long as possible for people from our most deprived communities
Stop communities dying from causes that can be prevented and that are prevented in more affluent areas
Enable and empower communities to manage their health so their health conditions do not affect their day-to-day life
Improve the experience of accessing NHS healthcare for our most deprived communities
Elongate healthy life
Life expectancy
Life expectancy is a key measure of population health because it reflects the overall impact of mortality across all age groups and highlights the effects of social determinants like income, education, and access to healthcare. Research into the life expectancies in small geographies across England has show that the areas in which life expectancy has increased the least since 2002 were the ones that has the lowest life expectancy in the first place and in those areas that are most socioeconomically deprived (The Lancet Public Health).
Variations in life expectancy reveal inequalities within and between populations, pointing to systemic disparities in resources and living conditions. As a simple and comparable metric, it provides valuable insights into societal progress, while also emphasizing the need to address the root causes of health inequities.
The graph shows the life expectancy for males and females in North West London from 2001-03 to 2021-23 compared to London. The shaded ribbons represent the 95% confidence intervals. Over the last 20 years life expectancy has increased from 76.8 to 80.1 in males and 81.9 to 84.9to in females. From around 2014-16 the trend in life expectancy in males and females plateaued and then decreased from 2020-22, likely due to the pandemic. We can see life expectancy beginning to recover post-pandemic with a slight increase in 2021-23.
The difference in life expectancy between boroughs has fluctuated over time, although has seen an overall decrease over the last 20 years. The difference in life expectancy in males has been higher than females over the last 10 years, however, due to a increase in inequality in females in 2020-22 the inequalities in life expectancy between males and females are similar.
Life expectancy varies greatly within North West London; with a gap of ~20 year between Notting Dale and Knightsbridge for both males and female. Those in more deprived neighborhoods, on average, have a lower life expectancy compared to those living in more affluent areas. There is currently a 7.8 difference in life expectancy between boroughs and a 20.4 difference between smaller geographies MSOA (this data is not available over time).
Healthy life expectancy
The health equity program aims to increase healthy life expectancy for all its residents and reduce the gap in healthy life expectancy between the most and least deprived populations.
The percentage of the population with 2+ LTCs is a measure of ill-health and therefore healthy life expectancy. The graph below displays the percentage of the population with 2+ LTC by age and deprivation quintile. The graph demonstrates how the more deprived quintiles (1 +2) develop multi-morbidity earlier than the less deprived populations (4+5). The most deprived community known as the Core 20 population (quintile 1) reports 50% of its population being multi-morbid at age 56, whereas the least deprived community (quintile 5) reports this statistic at age 65. This is a 9 year difference.
The bar graph represents the age at which 50% of the population is multi-morbid by quintiles for 2022 to 2024. This shows us that for the last three years the healthy life expectancy and the gap in healthy life expectancy have remained stable
Preventable causes of death
Preventable mortality is a critical measure of population health as it reflects deaths that could have been avoided through effective public health interventions, timely medical care, or healthier lifestyle choices. The health equity team aims to reduce the overall preventable mortality and the difference between boroughs and smaller geographies. High rates of preventable mortality highlight unmet needs in healthcare, social conditions, and education, often underscoring inequalities within and between populations.
Between 2021 and 2023 preventable mortality has decreased in North West London along with the London and England average. Throughout this time the NWL preventable mortality rate has remained similar to the London average apart from in Males in 2020. The increase nationally and in NWL in 2020-2021 likely comes from the effects of the COVID-19 pandemic.
Despite this overall decrease and slightly lower rates than the London average, there remains a large disparity in preventable mortality between smaller geographies of NWL. Over the last 20 years there has been a consistent gap between the premature mortality of different boroughs with Hammersmith and Fulham has the highest preventable mortality rate where as K&C and Harrow have the lowest. Additionally, the gap between males is greater than the gap between female premature mortality. There is currently a 89.1 difference in preventable mortality between boroughs and a 251.4 difference between small geographies MSOAs.
If we drill down to an even smaller geography, the map, shows the preventable death rate per 100,000 population under 75 for each NLW MSOA. Preventable deaths, included causes where public health interventions could potentially prevent all or most deaths. Notting Dale also has the highest rate of preventable deaths at 269 deaths, per 100,000 people, whereas Hans Town has the lowest a rate of preventable deaths at 17 per 100,000.
Empowering communities to manage their health
The health equity program aims to empower people to manage their health and therefore decrease the adverse preventable outcomes in people with LTCs. Equally, the aim is decrease the gap in the rate of these preventable outcomes between are most and least deprived communities. We can monitor some of these preventable outcomes by looking at ambulatory-sensitive condition (ASC) non-elective (NEL) admissions.
In North West London, the admissions rate has remained stable across all quintiles (the decrease in 2024 is likely due to a lag in reported data). However, there is a consistent difference in admission rate between the deprivation groups with the most deprived quintile (1) having the highest rates. Furthermore, the difference between deprivation groups has decreased since 2021 and is currently at 239.6
Experience of accessing healthcare
The health equity team aims to improve the experience of all heath care provision for the North West London population and also reduce the gap in positive experience between deprivation and ethnic groups. The GP survey collects data on experience of primary care and the health equity team is focusing on “During your last appointment, how good was the healthcare professional at listening to you?” to represent experience of accessing care in the community.
In North West London, 188,495 questionnaires were sent out, and 36,153 were returned completed. This represents a response rate of 19%. The results show that NWL has a lower percentage of the population who feel listened to that the national average. Additionally there are disparities within deprivation, ethnicity and religion. The groups who felt they were the least listened to were those who did not disclose their ethnicity and religion.
Summary
The below table outlines the key population health outcomes for NWL residents, the current trends in these outcomes, inequality and NWL health equity targets.
Metric | Value | Target | Trend | Inequality | Target inequality | Trend inequality | Inequality Group |
---|---|---|---|---|---|---|---|
Elongate healthy life as long as possible for people from our most deprived communities | |||||||
Life expectancy (years) | 82.5 | - | 7.8 | 5 | Borough | ||
Healthy life expectancy (years) | 59.0 | 65 | 9.0 | 5 | Deprivation | ||
Stop communities dying from causes that can be prevented and that are prevented in more affluent areas | |||||||
Preventable mortality (death per 100,000) | 285.1 | 200 | 89.1 | 50 | Borough | ||
Enable and empower communities to manage their health so their health conditions do not affect their day-to-day life | |||||||
Ambulatory sensitive preventable admissions (admissions per 100,000) | 518.7 | - | 239.6 | 200 | Deprivation | ||
Improve the experience of accessing NHS healthcare for our most deprived communities | |||||||
% Good - During your last appointment, how good was the healthcare professional at listening to you? | 83.0 | 90 | 4.0 | 0 | Deprivation |
** NB: the targets have been set based on informed estimation rather than formal quantitative analysis
Population health and inequalities targets
There is still a need to improve population health outcomes and reduce inequalities in North West London. After declining over the last three years, life expectancy has increased to 82.5 over the last year and inequality between boroughs has decreased to 7.8 years. However there is still a difference between boroughs and an even greater difference between smaller geographic areas. The healthy life expectancy has remained stable and the inequality gap remains around 9 years.
Since COVID-19 preventable mortality has decreased, and all NWL boroughs have lower rates that the national average, however rates have not decreased to pre-COVID-19 rates and in the last year we have seen an increase in inequality in the premature mortality between boroughs. We see consistent rates of poor outcomes for people managing their long term conditions, represented by preventable ASC admissions, however we do see a declining gap in these admissions between the most and least deprived.
A factor that will influence a person health seeking behavior and therefore ability to mange their condition will be how they experience NHS service. Results for the GP survey show that 83% of the NWL population feel listened to by the GP, which is below national average. Furthermore, this varies by, ethnicity, religion and deprivation, with those who are more deprived having a lower score.
Overall, although we are managing to keep these population health outcomes relatively stable, there is still work do in closing the inequality gap in these outcomes.