AndreaBozzo/ceres-open-data-index huggingface dataset:
Heart Failure prevalence - ICP Outcomes Framework - Registered Locality

This dataset presents the prevalence of heart failure among patients registered with GP practices in England. It reflects the proportion of individuals diagnosed with heart failure as recorded in the Quality and Outcomes Framework (QOF), a system used by NHS Digital to monitor the quality of care provided by general practices. The data is expressed as a percentage of the total practice list size and is intended to support monitoring and improvement of cardiovascular health outcomes. ## Rationale Heart failure is a significant public health concern, contributing to high levels of morbidity and healthcare utilization. Monitoring its prevalence at the practice level helps identify areas with higher disease burden and supports targeted interventions. Reducing the prevalence of heart failure is a key objective in improving population health and reducing avoidable hospital admissions. ## Numerator The numerator is defined as the number of patients diagnosed with heart failure, as recorded on their GP practice's disease register. This information is sourced from the Quality and Outcomes Framework (QOF), maintained by NHS Digital. ## Denominator The denominator is the total number of patients registered at the GP practice (the total practice list size). This is also sourced from the QOF dataset provided by NHS Digital. ## Caveats No specific caveats were noted in the source metadata. However, it is important to consider that the accuracy of prevalence data depends on the completeness and consistency of clinical coding practices across GP practices. ## External References [Public Health England - Fingertips Tool] ## Localities Explained This dataset contains data based on either the resident locality or registered locality of the patient, a distinction is made between resident locality and registered locality populations: * Resident Locality refers to individuals who live within the defined geographic boundaries of the locality. These boundaries are aligned with official administrative areas such as wards and Lower Layer Super Output Areas (LSOAs). * Registered Locality refers to individuals who are registered with GP practices that are assigned to a locality based on the Primary Care Network (PCN) they belong to. These assignments are approximate—PCNs are mapped to a locality based on the location of most of their GP surgeries. As a result, locality-registered patients may live outside the locality, sometimes even in different towns or cities. This distinction is important because some health indicators are only available at GP practice level, without information on where patients actually reside. In such cases, data is attributed to the locality based on GP registration, not residential address. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Hib and MenC booster vaccination coverage - ICP Outcomes Framework - Birmingham and Solihull

This dataset reports the percentage of children who received a booster dose of the Haemophilus influenzae type b (Hib) and Meningococcal group C (MenC) vaccines before their second birthday. The data is collected through the UK Health Security Agency’s (UKHSA) Cover of Vaccination Evaluated Rapidly (COVER) programme and reflects immunisation coverage across England. It is a key indicator of early childhood protection against serious infectious diseases. ## Rationale Ensuring high vaccination coverage by age two is critical for protecting children against preventable diseases such as Hib and MenC, which can cause severe illness including meningitis and septicaemia. Monitoring booster uptake helps identify areas with lower coverage and supports targeted public health interventions to improve immunisation rates and reduce health inequalities. ## Numerator The numerator is the total number of children whose second birthday falls within the reporting period and who received a booster dose of Hib and MenC at any time before their second birthday. This data is sourced from the UKHSA’s COVER programme. ## Denominator The denominator is the total number of children whose second birthday falls within the same reporting period, also sourced from the COVER programme. ## Caveats Data at the Integrated Care Board (ICB) level is considered experimental and should be interpreted with caution. It is not classified as an official statistic and may be subject to revisions or methodological changes. ## External References [NHS Digital – Immunisation Statistics] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Emergency admissions for asthma (under 19yrs)  - ICP Outcomes Framework - Birmingham and Solihull

This dataset reports the crude rate of emergency hospital admissions for asthma among children and young people aged under 19. It provides a measure of the burden of acute asthma episodes requiring urgent medical care and serves as an important indicator of respiratory health and healthcare access for this age group. ## Rationale Reducing hospital admissions caused by asthma in children and young people is a key public health objective. High admission rates may reflect poor asthma control, environmental triggers, or gaps in primary care and early intervention. Monitoring this indicator supports efforts to improve asthma management and reduce preventable hospitalisations. ## Numerator The numerator is the number of emergency hospital admissions for individuals aged under 19 with a primary diagnosis of asthma, identified using ICD-10 codes J45 (Asthma) and J46 (Status asthmaticus). Data are sourced from the Secondary Uses Service (SUS). ## Denominator The denominator is the total population of children and young people aged under 19, based on 2021 Census data. ## Caveats The data reflect episodes of admission rather than individual patients, meaning multiple admissions by the same person are counted separately. Hospital admission rates may also be influenced by local variations in referral and admission practices, as well as differences in asthma prevalence. NHS England has identified a data quality issue, though further detail is not specified in this summary. ## External References [Fingertips Public Health Profiles – Asthma Admissions (Under 19)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Emergency admissions for asthma (under 19yrs) - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset reports the crude rate of emergency hospital admissions for asthma among children and young people aged under 19. It provides a measure of the burden of acute asthma episodes requiring urgent medical care and serves as an important indicator of respiratory health and healthcare access for this age group. ## Rationale Reducing hospital admissions caused by asthma in children and young people is a key public health objective. High admission rates may reflect poor asthma control, environmental triggers, or gaps in primary care and early intervention. Monitoring this indicator supports efforts to improve asthma management and reduce preventable hospitalisations. ## Numerator The numerator is the number of emergency hospital admissions for individuals aged under 19 with a primary diagnosis of asthma, identified using ICD-10 codes J45 (Asthma) and J46 (Status asthmaticus). Data are sourced from the Secondary Uses Service (SUS). ## Denominator The denominator is the total population of children and young people aged under 19, based on 2021 Census data. ## Caveats The data reflect episodes of admission rather than individual patients, meaning multiple admissions by the same person are counted separately. Hospital admission rates may also be influenced by local variations in referral and admission practices, as well as differences in asthma prevalence. NHS England has identified a data quality issue, though further detail is not specified in this summary. ## External References [Fingertips Public Health Profiles – Asthma Admissions (Under 19)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Emergency admissions for asthma (under 19yrs) - ICP Outcomes Framework - Resident Locality

This dataset reports the crude rate of emergency hospital admissions for asthma among children and young people aged under 19. It provides a measure of the burden of acute asthma episodes requiring urgent medical care and serves as an important indicator of respiratory health and healthcare access for this age group. ## Rationale Reducing hospital admissions caused by asthma in children and young people is a key public health objective. High admission rates may reflect poor asthma control, environmental triggers, or gaps in primary care and early intervention. Monitoring this indicator supports efforts to improve asthma management and reduce preventable hospitalisations. ## Numerator The numerator is the number of emergency hospital admissions for individuals aged under 19 with a primary diagnosis of asthma, identified using ICD-10 codes J45 (Asthma) and J46 (Status asthmaticus). Data are sourced from the Secondary Uses Service (SUS). ## Denominator The denominator is the total population of children and young people aged under 19, based on 2021 Census data. ## Caveats The data reflect episodes of admission rather than individual patients, meaning multiple admissions by the same person are counted separately. Hospital admission rates may also be influenced by local variations in referral and admission practices, as well as differences in asthma prevalence. NHS England has identified a data quality issue, though further detail is not specified in this summary. ## External References [Fingertips Public Health Profiles – Asthma Admissions (Under 19)] ## Localities Explained This dataset contains data based on either the resident locality or registered locality of the patient, a distinction is made between resident locality and registered locality populations: * Resident Locality refers to individuals who live within the defined geographic boundaries of the locality. These boundaries are aligned with official administrative areas such as wards and Lower Layer Super Output Areas (LSOAs). * Registered Locality refers to individuals who are registered with GP practices that are assigned to a locality based on the Primary Care Network (PCN) they belong to. These assignments are approximate—PCNs are mapped to a locality based on the location of most of their GP surgeries. As a result, locality-registered patients may live outside the locality, sometimes even in different towns or cities. This distinction is important because some health indicators are only available at GP practice level, without information on where patients actually reside. In such cases, data is attributed to the locality based on GP registration, not residential address. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Hypertension prevalence - ICP Outcomes Framework - Birmingham and Solihull

This dataset reports the percentage of patients registered with a general practice who have a recorded diagnosis of established hypertension. The data is derived from the Quality and Outcomes Framework (QOF) provided by NHS Digital. It offers a snapshot of the burden of hypertension within primary care populations and supports efforts to monitor and manage this key cardiovascular risk factor. ## Rationale Hypertension is a leading risk factor for cardiovascular disease, stroke, and kidney disease. Reducing its prevalence is a public health priority. This indicator helps identify the scale of the issue within GP-registered populations and supports targeted interventions to improve detection, treatment, and control of high blood pressure. ## Numerator The numerator includes all patients with a diagnosis of established hypertension, as recorded on their GP practice's disease register. This information is collected through the Quality and Outcomes Framework (QOF), which incentivizes accurate clinical coding and record-keeping. ## Denominator The denominator is the total number of patients registered at the GP practice, also sourced from the QOF. This allows for the calculation of the proportion of patients affected by hypertension. ## Caveats There are no specific caveats noted for this indicator. However, the accuracy of prevalence estimates depends on consistent diagnosis and recording practices across GP practices. Underdiagnosis or variations in coding may affect comparability between practices or regions. ## External References Further information and related indicators can be found on the [Fingertips Public Health Profiles] website. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Hypertension prevalence - ICP Outcomes Framework - Registered Locality

This dataset reports the percentage of patients registered with a general practice who have a recorded diagnosis of established hypertension. The data is derived from the Quality and Outcomes Framework (QOF) provided by NHS Digital. It offers a snapshot of the burden of hypertension within primary care populations and supports efforts to monitor and manage this key cardiovascular risk factor. ## Rationale Hypertension is a leading risk factor for cardiovascular disease, stroke, and kidney disease. Reducing its prevalence is a public health priority. This indicator helps identify the scale of the issue within GP-registered populations and supports targeted interventions to improve detection, treatment, and control of high blood pressure. ## Numerator The numerator includes all patients with a diagnosis of established hypertension, as recorded on their GP practice's disease register. This information is collected through the Quality and Outcomes Framework (QOF), which incentivizes accurate clinical coding and record-keeping. ## Denominator The denominator is the total number of patients registered at the GP practice, also sourced from the QOF. This allows for the calculation of the proportion of patients affected by hypertension. ## Caveats There are no specific caveats noted for this indicator. However, the accuracy of prevalence estimates depends on consistent diagnosis and recording practices across GP practices. Underdiagnosis or variations in coding may affect comparability between practices or regions. ## External References Further information and related indicators can be found on the [Fingertips Public Health Profiles] website. ## Localities Explained This dataset contains data based on either the resident locality or registered locality of the patient, a distinction is made between resident locality and registered locality populations: * Resident Locality refers to individuals who live within the defined geographic boundaries of the locality. These boundaries are aligned with official administrative areas such as wards and Lower Layer Super Output Areas (LSOAs). * Registered Locality refers to individuals who are registered with GP practices that are assigned to a locality based on the Primary Care Network (PCN) they belong to. These assignments are approximate—PCNs are mapped to a locality based on the location of most of their GP surgeries. As a result, locality-registered patients may live outside the locality, sometimes even in different towns or cities. This distinction is important because some health indicators are only available at GP practice level, without information on where patients actually reside. In such cases, data is attributed to the locality based on GP registration, not residential address. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Infant mortality rate - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the crude rate of infant mortality, defined as the number of deaths of infants aged under 1 year per 1,000 live births. It is a fundamental indicator of child health and wellbeing, reflecting the broader social, economic, and environmental conditions in which children are born and raised. ## Rationale Reducing the infant mortality rate is a key public health objective. High rates may indicate issues related to maternal health, access to healthcare, socioeconomic inequalities, or environmental risks. Monitoring this indicator supports efforts to improve early life outcomes and reduce health disparities. ## Numerator The numerator is the number of infant deaths (under 1 year of age) registered during the relevant period. Data are sourced from the Deaths Register. ## Denominator The denominator is the number of live births registered during the same period. Births are assigned to geographical areas based on the mother’s usual residence. Data are sourced from the Births Register. ## Caveats Live births are geographically assigned based on the mother’s usual residence, which may differ from the location of the birth or death. This should be considered when interpreting local-level data. ## External References [Fingertips Public Health Profiles – Infant Mortality Rate] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Infant mortality rate - ICP Outcomes Framework - Resident Locality

This dataset presents the crude rate of infant mortality, defined as the number of deaths of infants aged under 1 year per 1,000 live births. It is a fundamental indicator of child health and wellbeing, reflecting the broader social, economic, and environmental conditions in which children are born and raised. ## Rationale Reducing the infant mortality rate is a key public health objective. High rates may indicate issues related to maternal health, access to healthcare, socioeconomic inequalities, or environmental risks. Monitoring this indicator supports efforts to improve early life outcomes and reduce health disparities. ## Numerator The numerator is the number of infant deaths (under 1 year of age) registered during the relevant period. Data are sourced from the Deaths Register. ## Denominator The denominator is the number of live births registered during the same period. Births are assigned to geographical areas based on the mother’s usual residence. Data are sourced from the Births Register. ## Caveats Live births are geographically assigned based on the mother’s usual residence, which may differ from the location of the birth or death. This should be considered when interpreting local-level data. ## External References [Fingertips Public Health Profiles – Infant Mortality Rate] ## Localities Explained This dataset contains data based on either the resident locality or registered locality of the patient, a distinction is made between resident locality and registered locality populations: * Resident Locality refers to individuals who live within the defined geographic boundaries of the locality. These boundaries are aligned with official administrative areas such as wards and Lower Layer Super Output Areas (LSOAs). * Registered Locality refers to individuals who are registered with GP practices that are assigned to a locality based on the Primary Care Network (PCN) they belong to. These assignments are approximate—PCNs are mapped to a locality based on the location of most of their GP surgeries. As a result, locality-registered patients may live outside the locality, sometimes even in different towns or cities. This distinction is important because some health indicators are only available at GP practice level, without information on where patients actually reside. In such cases, data is attributed to the locality based on GP registration, not residential address. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Infant mortality rate - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset presents the crude rate of infant mortality, defined as the number of deaths of infants aged under 1 year per 1,000 live births. It is a fundamental indicator of child health and wellbeing, reflecting the broader social, economic, and environmental conditions in which children are born and raised. ## Rationale Reducing the infant mortality rate is a key public health objective. High rates may indicate issues related to maternal health, access to healthcare, socioeconomic inequalities, or environmental risks. Monitoring this indicator supports efforts to improve early life outcomes and reduce health disparities. ## Numerator The numerator is the number of infant deaths (under 1 year of age) registered during the relevant period. Data are sourced from the Deaths Register. ## Denominator The denominator is the number of live births registered during the same period. Births are assigned to geographical areas based on the mother’s usual residence. Data are sourced from the Births Register. ## Caveats Live births are geographically assigned based on the mother’s usual residence, which may differ from the location of the birth or death. This should be considered when interpreting local-level data. ## External References [Fingertips Public Health Profiles – Infant Mortality Rate] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Low birth weight of babies - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of full-term babies (born at 37 weeks gestation or later) who had a low birth weight, defined as less than 2,500 grams. It provides a key indicator of neonatal health and maternal wellbeing, based on data collected by the Office for National Statistics (ONS) through birth registrations in England and Wales. The measure helps identify trends and disparities in birth outcomes across different populations and regions. ## Rationale Low birth weight in full-term babies is associated with increased risks of infant morbidity and mortality, as well as long-term developmental challenges. Reducing the proportion of low birth weight births is a public health priority, as it reflects improvements in maternal health, antenatal care, and broader social determinants of health. This indicator supports efforts to monitor and address inequalities in early life outcomes. ## Numerator The numerator is the number of live births at term (37 weeks gestation or more) with a recorded birth weight of less than 2,500 grams. This data is sourced from the Office for National Statistics (ONS) through the Births Characteristics in England and Wales dataset. ## Denominator The denominator is the total number of live births at term (37 weeks gestation or more) with a recorded birth weight. This is also derived from the ONS Births Characteristics dataset. ## Caveats While data linkage is highly successful nationally (99.4%), not all birth records include valid information on both birth weight and gestational age. This may affect the completeness and accuracy of the indicator in some areas. ## External References [Public Health England - Fingertips Tool] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.