AndreaBozzo/ceres-open-data-index huggingface dataset:
Stillbirth rate - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset presents the rate of stillbirths per 1,000 births, measuring fetal deaths occurring after 24 weeks of gestation across all maternal ages. Stillbirth is one of the most significant adverse outcomes in maternity care, and monitoring this rate at a local level is essential for understanding the quality of antenatal services, identifying inequalities, and targeting interventions to improve pregnancy outcomes. ## Rationale Reducing the stillbirth rate is a key national public health priority. The UK has historically had a higher stillbirth rate compared to other high-income countries, and concerted efforts have been made through national maternity programmes to drive this rate down. Tracking stillbirth rates at a local level helps commissioners and health providers assess progress, identify areas of concern, and ensure that maternity services are delivering safe, equitable care for all mothers and babies. ## Numerator The numerator is the total number of stillbirths — defined as fetal deaths occurring after 24 weeks of gestation — for all maternal ages, occurring within the respective calendar years. ## Denominator The denominator is the total number of live births and stillbirths occurring in the respective calendar years, providing the overall population of births against which the stillbirth rate is calculated. ## Caveats No specific data quality caveats have been noted for this indicator. However, users should be aware that stillbirth counts at local authority level can be small, which may result in rates that fluctuate significantly year on year. Caution should be exercised when interpreting single-year figures, and trend data or aggregated periods should be considered where possible to provide a more stable picture. ## External References Data is sourced from the Office for National Statistics (ONS) Annual Births and Mortality Extracts. The indicator is also available through the OHID Fingertips platform: * [OHID Fingertips – Stillbirth Rate (Indicator 92530)]
MMR update (2yrs) - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of children who received one dose of the MMR (Measles, Mumps and Rubella) vaccine between their first and second birthday. Childhood immunisation coverage is a critical public health measure, and the MMR vaccine is one of the most important routine vaccinations in the childhood immunisation schedule. Monitoring uptake at a local level enables health commissioners and providers to identify gaps in coverage and target outreach to improve protection across communities. ## Rationale Achieving and maintaining high MMR vaccination coverage in early childhood is essential for preventing outbreaks of measles, mumps, and rubella — diseases that can cause serious complications including encephalitis, deafness, and, in the case of rubella, severe harm to unborn babies. The World Health Organisation recommends at least 95% population immunity to prevent measles transmission. Increasing MMR uptake by age 2 is therefore a key priority for local public health teams, particularly in areas with historically lower coverage or significant health inequalities. ## Numerator The numerator is the total number of children who received one dose of the MMR vaccine on or after their first birthday and at any time up to their second birthday, within the reporting period. ## Denominator The denominator is the total number of children whose second birthday falls within the reporting time period, representing the eligible cohort for this stage of the immunisation schedule. ## Caveats Users should note that source data was not available for one GP practice (representing 0.55% of the population) in 2019/20 and 2020/21. This practice has therefore been omitted from the value calculations for those years, which may result in a marginally incomplete picture of coverage for those periods. This caveat also applies to the 2012/13 baseline value calculation where affected. ## External References Data is sourced from the UK Health Security Agency (UKHSA) Cover of Vaccination Evaluated Rapidly (COVER) Programme. Further information and the underlying statistical releases are available via NHS England: * [NHS England – Child Immunisation Statistics] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Obesity in adults - ICP Outcomes Framework - Registered Locality

This dataset presents the percentage of adults aged 18 and over with a BMI classified as overweight or obese, defined as a Body Mass Index (BMI) greater than 25kg/m². Obesity and excess weight are among the most significant drivers of preventable ill health, contributing to a wide range of serious conditions including type 2 diabetes, cardiovascular disease, and certain cancers. Monitoring the prevalence of overweight and obesity at a local level is essential for understanding population health needs and directing prevention and intervention programmes effectively. ## Rationale Reducing the proportion of adults classified as overweight or obese is a key public health priority nationally and locally. Excess weight places a substantial burden on individuals, communities, and health services, and prevalence varies significantly across geographic areas and population groups, often reflecting wider inequalities in income, environment, and access to healthy food and physical activity. Tracking this indicator supports local efforts to design and evaluate weight management services, healthy lifestyle programmes, and broader place-based interventions aimed at creating healthier environments. ## Numerator The numerator is the number of adults aged 18 and over with a BMI classified as overweight (including obesity), calculated from adjusted height and weight variables. A BMI of greater than 25kg/m² is used as the threshold for classification. ## Denominator The denominator is the number of adults aged 18 years and over with valid height and weight recorded within the Active Lives Adult Survey for the reporting period. ## Caveats Users should be aware of several important methodological considerations when interpreting this indicator. Height and weight values are self-reported by survey respondents, and prediction equations are applied to adjust for the known tendency of individuals to overestimate height and underestimate weight. This adjustment improves accuracy but does not fully eliminate measurement bias. Respondents who are not recorded as male or female are excluded from the analysis due to the sex-specific nature of the prediction equations used. As this indicator is derived from a survey, results are subject to sampling variation, and figures for smaller geographic areas should be interpreted with caution. ## External References Data is sourced from the Sport England Active Lives Adult Survey (ALAS). The indicator is also available through the OHID Fingertips platform: * [OHID Fingertips – Adults Classified as Overweight or Obese (Indicator 93088)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Obesity in adults - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of adults aged 18 and over with a BMI classified as overweight or obese, defined as a Body Mass Index (BMI) greater than 25kg/m². Obesity and excess weight are among the most significant drivers of preventable ill health, contributing to a wide range of serious conditions including type 2 diabetes, cardiovascular disease, and certain cancers. Monitoring the prevalence of overweight and obesity at a local level is essential for understanding population health needs and directing prevention and intervention programmes effectively. ## Rationale Reducing the proportion of adults classified as overweight or obese is a key public health priority nationally and locally. Excess weight places a substantial burden on individuals, communities, and health services, and prevalence varies significantly across geographic areas and population groups, often reflecting wider inequalities in income, environment, and access to healthy food and physical activity. Tracking this indicator supports local efforts to design and evaluate weight management services, healthy lifestyle programmes, and broader place-based interventions aimed at creating healthier environments. ## Numerator The numerator is the number of adults aged 18 and over with a BMI classified as overweight (including obesity), calculated from adjusted height and weight variables. A BMI of greater than 25kg/m² is used as the threshold for classification. ## Denominator The denominator is the number of adults aged 18 years and over with valid height and weight recorded within the Active Lives Adult Survey for the reporting period. ## Caveats Users should be aware of several important methodological considerations when interpreting this indicator. Height and weight values are self-reported by survey respondents, and prediction equations are applied to adjust for the known tendency of individuals to overestimate height and underestimate weight. This adjustment improves accuracy but does not fully eliminate measurement bias. Respondents who are not recorded as male or female are excluded from the analysis due to the sex-specific nature of the prediction equations used. As this indicator is derived from a survey, results are subject to sampling variation, and figures for smaller geographic areas should be interpreted with caution. ## External References Data is sourced from the Sport England Active Lives Adult Survey (ALAS). The indicator is also available through the OHID Fingertips platform: * [OHID Fingertips – Adults Classified as Overweight or Obese (Indicator 93088)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
MenB Vaccinations (2yrs) - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of children who completed a booster course of the Meningococcal group B (MenB) vaccine before their second birthday. MenB is a serious bacterial infection that can cause meningitis and septicaemia, and infants are among the most vulnerable groups. The MenB vaccination programme, introduced into the routine childhood immunisation schedule in 2015, represents a significant advance in protecting young children against this potentially life-threatening disease. Monitoring booster uptake at local level helps identify where coverage may be falling short and where targeted action is needed. ## Rationale Meningococcal group B disease can progress rapidly and have devastating consequences, including death or permanent disability such as hearing loss and limb loss. Achieving high MenB booster coverage by age 2 is therefore a critical public health goal, ensuring that children complete the full course of protection before they age out of the period of highest vulnerability. Tracking coverage at a local authority level supports commissioners in monitoring programme performance, addressing inequalities in uptake, and engaging with communities and primary care to improve vaccination rates. ## Numerator The numerator is the total number of children in the local authority responsible population whose second birthday falls within the time period, and who received a MenB booster at any time before their second birthday. ## Denominator The denominator is the total number of children in the local authority responsible population whose second birthday falls within the reporting time period, representing the eligible cohort for MenB booster completion. ## Caveats Users should note that Integrated Care Board (ICB) level data for this indicator is experimental and should be treated with caution. It does not constitute an official statistic and may be subject to revision. As with all vaccination coverage data derived from the COVER programme, small variations in GP-level recording practices may affect the accuracy of figures at local levels. ## External References Data is sourced from the UK Health Security Agency (UKHSA) Cover of Vaccination Evaluated Rapidly (COVER) Programme. The indicator is also available through the OHID Fingertips platform: * [OHID Fingertips – MenB Booster Vaccination Coverage (Indicator 93605)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Access to children & young people's mental health services - ICP Outcomes Framework - Registered Locality

This dataset presents the rate of children and young people aged 0 to 17 with common mental disorders who are accessing secondary mental healthcare services, expressed per 100,000 population. Access to timely and appropriate mental health support during childhood and adolescence is a significant public health priority, with evidence showing that early intervention can substantially improve long-term outcomes. Monitoring access rates locally helps commissioners understand whether services are reaching those most in need and where gaps in provision may exist. ## Rationale Mental health conditions in children and young people are widespread and often go unmet. Increasing access to Children and Young People's Mental Health Services (CYPMHS) is a key objective within both national and local mental health strategies, including NHS Long Term Plan commitments to expand access and reduce waiting times. By tracking the rate of 5 to 17 year olds with identified mental disorders who are engaging with secondary care services, this indicator provides insight into how effectively services are reaching the population with the greatest clinical need, and where investment or service redesign may be required. ## Numerator The numerator is the number of children and young people aged 0 to 17 with one or more contacts — direct or indirect — recorded in secondary care mental health services, sourced from the Mental Health Services Data Set (MHSDS) Commissioner Extracts. ## Denominator The denominator is the estimated population of children and young people with a mental disorder — defined as Any Mental Disorder (AMD) for ages 5 to 15, and Common Mental Disorder (CMD) for ages 16 and over — derived by applying Fingertips prevalence rates to the BSOL population sourced from NHS Spine. ## Caveats Users should be aware that the population denominator for all financial years is based on current NHS Spine volumes and does not flex to reflect population sizes in previous years. This means that historical figures may not fully account for changes in the underlying population over time, and trend comparisons should be interpreted with care. As prevalence rates are modelled estimates rather than directly observed counts, there is inherent uncertainty in the denominator that will affect the precision of the resulting access rate. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Access to children & young people's mental health services - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the rate of children and young people aged 0 to 17 with common mental disorders who are accessing secondary mental healthcare services, expressed per 100,000 population. Access to timely and appropriate mental health support during childhood and adolescence is a significant public health priority, with evidence showing that early intervention can substantially improve long-term outcomes. Monitoring access rates locally helps commissioners understand whether services are reaching those most in need and where gaps in provision may exist. ## Rationale Mental health conditions in children and young people are widespread and often go unmet. Increasing access to Children and Young People's Mental Health Services (CYPMHS) is a key objective within both national and local mental health strategies, including NHS Long Term Plan commitments to expand access and reduce waiting times. By tracking the rate of 5 to 17 year olds with identified mental disorders who are engaging with secondary care services, this indicator provides insight into how effectively services are reaching the population with the greatest clinical need, and where investment or service redesign may be required. ## Numerator The numerator is the number of children and young people aged 0 to 17 with one or more contacts — direct or indirect — recorded in secondary care mental health services, sourced from the Mental Health Services Data Set (MHSDS) Commissioner Extracts. ## Denominator The denominator is the estimated population of children and young people with a mental disorder — defined as Any Mental Disorder (AMD) for ages 5 to 15, and Common Mental Disorder (CMD) for ages 16 and over — derived by applying Fingertips prevalence rates to the BSOL population sourced from NHS Spine. ## Caveats Users should be aware that the population denominator for all financial years is based on current NHS Spine volumes and does not flex to reflect population sizes in previous years. This means that historical figures may not fully account for changes in the underlying population over time, and trend comparisons should be interpreted with care. As prevalence rates are modelled estimates rather than directly observed counts, there is inherent uncertainty in the denominator that will affect the precision of the resulting access rate. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Screening for breast cancer - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of women eligible for breast cancer screening who have had a screening test with a recorded result within the previous 36 months. Breast screening through mammography is a key tool in the early detection of breast cancer, enabling treatment at an earlier and more treatable stage. Monitoring screening coverage at a local level helps commissioners and public health teams identify where uptake is lower than expected and where targeted engagement efforts may improve outcomes. ## Rationale Breast cancer is the most common cancer in women in the UK, and early detection through regular screening significantly improves survival rates. The NHS Breast Screening Programme invites eligible women aged 50 to 70 for screening every three years, with the indicator cohort covering women aged 53 to 70 to capture those who have had the opportunity to be screened at least once within the programme cycle. Increasing screening coverage is a public health priority, particularly in areas with high deprivation or diverse communities where uptake has historically been lower. ## Numerator The numerator is the number of eligible women aged 53 to 70, registered with a GP, who have a screening test result recorded in the past 36 months, sourced from the NHS England Breast Screening Programme. ## Denominator The denominator is the number of women aged 53 to 70 years resident in the area who are eligible for breast screening at a given point in time, excluding those whose recall has been ceased for clinical reasons. This is also sourced from the NHS England Breast Screening Programme. ## Caveats Users should note that data covering April 2020 to March 2022 was significantly affected by the COVID-19 pandemic, during which routine screening services were paused or substantially reduced. Figures for this period should be interpreted with considerable caution and are not directly comparable to pre- or post-pandemic years. The resumption of screening services and the subsequent catch-up programme may also affect trends in the years immediately following this period. ## External References Data is sourced from the NHS England Breast Screening Programme (BSP). Further information on programme standards and key performance indicators is available via the links below: * [NHS Population Screening Programme Standards] * [Population Screening Programme – Key Performance Indicators] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Cervical screening (25 to 49 yrs) - ICP Outcomes Framework - Registered Locality

This dataset presents the percentage of eligible women aged 25 to 49 who have had an adequate cervical screening test recorded within the previous 42 months (3.5 years). Cervical screening — commonly known as a smear test — helps detect abnormal cell changes in the cervix before they have the chance to develop into cancer. Monitoring coverage at a local and practice level is essential for identifying where uptake is lower than expected and where outreach and engagement efforts can make the greatest difference to women's health outcomes. ## Rationale Cervical cancer is largely preventable through regular screening, and the NHS Cervical Screening Programme plays a critical role in reducing both incidence and mortality. Women aged 25 to 49 are invited for screening every three years, making the 42-month (3.5-year) window the appropriate measure of up-to-date coverage for this age group. Increasing cervical screening uptake is a public health priority, particularly in areas with high deprivation, diverse communities, or where historic barriers to access — including health literacy, cultural factors, or previous negative experiences — may be reducing participation. ## Numerator The numerator is the number of eligible women aged 25 to 49, registered at the practice on the last day of the review period, who had an adequate cervical screening test recorded in the previous 42 months, sourced from the NHS England Cervical Screening Programme. ## Denominator The denominator is the total number of eligible women aged 25 to 49 registered at the practice on the last day of the review period, also sourced from the NHS England Cervical Screening Programme. ## Caveats Users should exercise caution when interpreting data at practice level. For some practices, this indicator may be based on a small number of patients, meaning that random variation can produce apparently large changes over time or apparently significant differences when compared to other areas. Small-number volatility should always be considered before drawing conclusions from practice-level figures, and aggregated or trend data should be used where possible to provide a more stable picture. ## External References Data is sourced from the NHS England Cervical Screening Programme (CSP). The indicator is also available through the OHID Fingertips platform, published by the Department of Health and Social Care: * [OHID Fingertips – Cervical Screening Coverage] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.