The Health Index for England is a new measure of the health of the nation. It uses a broad definition of health, including:
health-related behaviours and personal circumstances
wider drivers of health that relate to the places where people live
The Health Index provides a single value for health that can show how health changes over time. It can also be broken down to focus on specific topics to show what is driving these changes. The Health Index measures health at local authority, regional and national levels. It also enables comparison between geographic areas, health topics and combinations of the two over time. At present the Health Index covers England, but in future the aim is to extend this to the rest of the UK, if possible.
The overall Health Index score can be broken down into three areas of health, known as domains, which are:
The indicator descriptions in this article focus on defining each indicator and how it is measured, rather than detailing the underlying data.
All data used in the Health Index come from publicly available sources, the majority of which are published by the Office for National Statistics (ONS) or other government departments. An overview of the data selection process and the methods used to construct the Health Index is provided in Section 5. More detail on the methods used is available in the Health Index methods and development article, and on the data sources in the Health Index datasets.
Each indicator provides a measure of a particular aspect of health. Where we are repurposing existing data for use in the Health Index, those data do not always measure health concepts in the ideal way for our purposes. Because of this we have selected the best available measures. This is an accepted method when constructing an index but may mean the data chosen may not cover the whole of that aspect of health. For example, the indicator for alcohol misuse consists of alcohol-related hospital admissions. We know that this does not measure all alcohol misuse, but it still indicates the patterns and trends expected to be present in alcohol misuse as a whole.Back to table of contents
Healthy People covers health outcomes, which for this index include mortality, and the impact of physical and mental health conditions. The physical health conditions included were chosen based on their status as top contributors to mortality or morbidity, according to the Health profile for England: 2019.
Definitions of health outcomes in research can include the outcomes of healthcare procedures. However, we have aimed to avoid including measures of healthcare activity, such as waiting times, in the Health Index. This is because they are likely to reflect the performance and policy of healthcare services rather than presenting a picture of the population's health in itself.
The subdomains of the Healthy People domain are:
difficulties in daily life
physical health conditions
More detail on the data sources is available in the Health Index datasets.
Within each of the subdomains for Healthy People there are a number of indicators.
Difficulties in daily life
The percentage of working age adults (aged 16 to 64 years) who are disabled under the Equality Act or work-limiting disabled.
The number of emergency hospital admissions for a fractured neck of femur (hip) in people aged 65 years and over, per 100,000 people. This is age-standardised, which means it considers the number of people of different ages living in an area.
Children's social, emotional and mental health
The proportion of all school pupils who are both identified as having special educational needs (SEN) and have social, emotional and mental health needs as their primary SEN.
Mental health conditions
The percentage of people who have a mental health condition, such as depression or anxiety. This is based on people reporting their health conditions on a survey rather than coming from general practitioner (GP) records or similar.
The number of emergency hospital admissions for intentional self-harm, per 100,000 people. This is age-standardised, which means it considers the number of people of different ages living in an area. Hospital admissions do not include all instances of self-harm but are used here to indicate overall levels of self-harm.
The suicide rate is defined as the mortality rate (deaths per 100,000 people) from intentional self-harm, in people aged 10 years and over, and from injury of undetermined intent, in people aged 15 years and over. This is age-standardised, which means it considers the number of people of different ages living in an area.
Avoidable mortality refers to causes of death that can be mainly avoided. This is either through effective public health and primary prevention interventions (preventable mortality), or through timely and effective healthcare interventions, including secondary prevention and treatment (treatable mortality). This indicator consists of avoidable deaths, defined as the mortality rate (deaths per 100,000 people) in people aged under 74 years for all causes within the avoidable mortality definition. This is age-standardised, which means it considers the number of people of different ages living in an area.
The infant mortality rate, which is the number of infant deaths aged under one year per 1,000 live births.
Period life expectancy at birth, which is the average number of years a person born in a given year and area would live, if they experienced the particular area's age-specific mortality rates for that time period throughout their life.
Activities in life are worthwhile
The average score of survey respondents (aged 16 years and over), when asked to what extent they feel the things done in their life are worthwhile.
Feelings of anxiety
The average score of survey respondents (aged 16 years and over), when asked how anxious they felt on the previous day.
The average score of survey respondents (aged 16 years and over), when asked how happy they felt on the previous day.
The average score of survey respondents (aged 16 years and over), when asked how satisfied they are with their life.
Physical health conditions
The indicators for physical health conditions are based on people reporting their health conditions on a survey rather than coming from GP records or similar.
The percentage of people who have cancer (with a diagnosis or treatment in the last five years).
The percentage of people who have a heart condition, such as angina or atrial fibrillation.
The percentage of people who have Alzheimer's disease or another cause of dementia.
The percentage of people who have diabetes.
Kidney and liver disease
The percentage of people who have kidney or liver disease.
The percentage of people who have arthritis or an ongoing problem with their back or joints.
The percentage of people who have a breathing condition such as asthma or chronic obstructive pulmonary disease (COPD).Back to table of contents
The two domains of Healthy Lives and Healthy Places contain indicators of wider social factors affecting health. Healthy Lives covers risk factors for health that relate directly to individuals. This includes both risk factors that can be modified or changed by individuals, and social factors that cannot always be controlled by individuals but affect the population at the individual level.
The most common physiological and behavioural risk factors that can be modified or changed by individuals are defined in the Health profile for England. They are also supported by the World Health Organization's list of risk factors for non-communicable disease. In addition to more traditionally recognised measures, research suggests there are other emerging risk factors to health, such as sleeping patterns. However, it has been more difficult to find data that measure these.
The social factors included in Healthy Lives are taken from The Health Foundation's Exploring the social determinants of health series.
The subdomains of the Healthy Lives domain are:
behavioural risk factors
children and young people
physiological risk factors
More detail on the data sources is available in the Health Index datasets.
Within each of the subdomains for Healthy Lives there are a number of indicators.
Behavioural risk factors
The number of alcohol-related hospital admissions per 100,000 people. This is age-standardised, which means it considers the number of people of different ages living in an area. Hospital admissions do not include all instances of alcohol misuse but are used here to indicate overall levels of alcohol misuse.
The number of drug-related crimes recorded by the police, per 1,000 people. Drug-related crimes do not include all instances of drug misuse but are used here to indicate overall levels of drug misuse.
The proportion of adults who report they eat five or more portions of fruit and vegetables on a "usual day".
The percentage of adults (aged 19 years and over) who report they are physically active for 150 minutes or more per week.
The percentage of adults (aged 19 years and over) who report they are physically active for less than 30 minutes per week.
The proportion of adults (aged 18 years and over) who report they currently smoke cigarettes.
Children and young people
Early years development
The percentage of children, aged five years, achieving a good level of development at the end of the Early Years Foundation Stage (EYFS). Children are defined as having reached a good level of development if they achieve at least the expected level in the early learning goals in the prime areas of learning. These areas are: personal, social and emotional development, physical development, and communication and language. This also includes the early learning goals in the specific areas of mathematics and literacy.
The percentage of pupils (at state-funded primary and secondary, and special schools) who are persistent absentees, that is, have overall absences equating to 10% or more of their possible sessions.
The percentage of state school pupils achieving grades 4 or above (A* to C) in English and Mathematics GCSEs. Although this includes only GCSE attainment, we have found in analysis that levels of pupil attainment in an area remain quite similar across different ages. Because of this, we use it as an indicator of overall pupil attainment.
The number of conceptions in women aged under 18 years, relative to the population of females aged 15 to 17 years. The population does not include females aged under 15 years, for consistency with presentation in the Office for Health Improvement and Disparities' Public Health Profiles.
Young people in education, employment and apprenticeships
The percentage of pupils in sustained education, employment or an apprenticeship in the year after Key Stage 4 (after school Year 11) when they are aged 16 to 17 years.
Physiological risk factors
High blood pressure
The percentage of people who have high blood pressure (hypertension). This is based on people reporting this on a survey rather than coming from GP records or similar.
Low birth weight
The percentage of live births (of at least 37 weeks gestation) with a recorded birth weight of less than 2,500 grammes.
Overweight and obesity in adults
The percentage of adults (aged 18 years and over) who are overweight or obese, based on people reporting their height and weight on a survey.
Overweight and obesity in children
The proportion of children in school Year Reception and in school Year 6 (aged four to five years and aged 10 to 11 years, respectively) who are overweight or obese.
Cancer screening attendance
The proportions of people eligible for screening for breast, bowel, and cervical cancer, who have had screening results recorded (which means they have attended a screening appointment), within the recommended timeframes.
Sexually transmitted infections
The number of new sexually transmitted infections (STIs) per 100,000 people, excluding chlamydia, in those aged under 25 years. Chlamydia is excluded by the data producer because large numbers of people have no symptoms. Because of this, increases in diagnosis could result from increased testing rather than increased infection.
Child vaccination coverage
The percentage of children who receive the NHS recommended early childhood vaccinations. This does not include vaccination for coronavirus (COVID-19).Back to table of contents
Healthy Places includes social and environmental risk factors for health that affect the population at a collective level. These relate to circumstances that can influence health outcomes, such as those included in Healthy People. They also relate to circumstances that can influence risk factors, such as those included in Healthy Lives. However, they often cannot be addressed solely at the individual level.
We used the Marmot Review and Public Health England's (PHE's) Spatial planning for health: evidence review report, in particular, to inform the topics included. These are:
community services and safety
These are also supported by The Health Foundation's Exploring the social determinants of health series.
The subdomains of the Healthy Places domain are:
access to green space
access to services
economic and working conditions
More detail on the data sources is available in the Health Index datasets.
Within each of the subdomains for Healthy Places there are a number of indicators.
Access to green space
Private outdoor space
The percentage of addresses (houses and flats) with access to private outdoor space, which includes private gardens, private communal gardens, balconies, yards or patio spaces.
Public green space
The average distance to travel to the nearest boundary of a park or public garden. Distances are calculated between postcodes based on the central point of each postcode.
Access to services
Distance to general practitioner (GP) services
The average minimum distance to travel to the nearest GP practice. Distances are calculated between postcodes based on the central point of each postcode.
Distance to pharmacies
The average minimum distance to travel to the nearest pharmacy or dispensary. Distances are calculated between postcodes based on the central point of each postcode.
Distance to sports or leisure facilities
The average minimum distance to travel to the nearest sports or leisure facility. Distances are calculated between postcodes based on the central point of each postcode.
The percentage of premises unable to receive an internet connection of a speed of 10 megabits per second or more.
The number of police recorded low-level crimes per 1,000 people. The low-level crime offences included here are bicycle theft and shoplifting. There are other low-level crimes, but bicycle theft and shoplifting are used to indicate overall numbers.
The number of police recorded personal crimes per 1,000 people. Personal crime offences are defined as violence against the person, sexual offences, robbery, theft, criminal damage and arson.
Economic and working conditions
The percentage of children (aged under 15 years) living in families with absolute low income. The threshold for absolute low income is income below 60% of the national median household income.
A figure that compares the lowest house prices with the lowest earnings, to provide a measure of how affordable houses are to buy in the area. This does not include rental housing as there are no suitable data on this.
The percentage of working age employed adults who received job-related training in the last 13 weeks. This is included as a measure of employment quality.
The number of people (aged 16 years and over) without a job, who have been actively seeking work within the last four weeks and are available to start work within the next two weeks. This is relative to the economically active population, that is, those in work plus those seeking and available to work.
The number of non-fatal injuries per 100,000 employees, reported under the Reporting of Injuries, Diseases and Dangerous Occurrences Regulations (RIDDOR). This is included as a measure of employment quality.
The annual concentration of air pollution in an area, adjusted to account for how much people are likely to be exposed to it. Air pollution specifically measures fine particulate matter (PM2.5).
The percentage of households that are overcrowded. Overcrowding is based on a standard calculation of the required number of rooms, compared with the actual number of rooms the household has.
The number of complaints to local authorities about noise per year (per 1,000 people).
The number of personal injury road traffic accidents on public roads reported to the police. They are classified either as fatal, serious, or slight, relative to the size of the area in square kilometres (not including inland water and to average high tide mark).
The number of people sleeping outdoors on a single given night in October or November, per 100,000 residents.Back to table of contents
The data used for each indicator come from publicly available sources, the majority of which are produced by the Office for National Statistics (ONS) or other government departments. This means that certain quality standards will have already been met. To meet the needs of the Health Index, we checked:
data were available for enough years to make comparisons over time
there was reasonable certainty that the data would continue to be available into the future, to make sure that comparisons over time are based on consistent data as far as possible
data were available for lower tier local authority areas (LTLAs), which is the smallest geographical breakdown available for most health data sources suitable for the Health Index's needs
Once the data were collected, they needed imputation and transformation for use in the Health Index. All techniques used to make these changes follow standard statistical procedures, which have been reviewed for suitability by experts.
There were sometimes missing values at local authority level, which needed to be filled (a process known as imputation). We also needed to get data into a format where they could be compared with other data in the Index (processes known as standardisation and normalisation).
Some indicators could fit in more than one place in the Health Index. For example, some are both health outcomes and risks to future health, such as children's social, emotional and mental health. Such indicators could be placed within the Healthy People domain as an outcome of poor health, or in another domain as they influence other outcomes.
To guide the decisions on placing these indicators, and to support our groupings more broadly, we have used statistical tests (called factor analysis). This is to understand which indicators should be placed together. They have also been used to decide what weights indicators should be given, that is, how important they are in measuring health.
The results have then been used to produce the values for individual indicators. This includes the subdomains they group into, the domains those group into, and the single Health Index number overall. Values were calculated for the local authorities, then combined with respect to population size to give values for regions and England as a whole.
Further detail is available on the data selection and on methods in the Health Index methods and development report, and on the data sources in the Health Index datasets. The datasets also include details of the weights given to indicators.Back to table of contents
Contact details for this Methodology
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