AndreaBozzo/ceres-open-data-index huggingface dataset:
Deaths from diabetic complications - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the relative risk of mortality from diabetic complications. It compares the observed number of deaths among people with diabetes due to specific complications—such as angina, myocardial infarction, heart failure, or stroke—with the expected number of such deaths in the diabetic population. The data is derived from ONS death registrations and modelled estimates from the National Diabetes Audit (NDA). ## Rationale People with diabetes are at increased risk of developing serious cardiovascular complications, which can lead to premature mortality. Monitoring mortality from these complications helps identify disparities in care and outcomes, and supports efforts to improve diabetes management and reduce preventable deaths. This indicator provides a benchmark for evaluating the effectiveness of interventions aimed at reducing cardiovascular risk in people with diabetes. ## Numerator The numerator is the number of people with diabetes, as recorded on their death certificate, who died from complications such as angina, myocardial infarction, heart failure, or stroke. ## Denominator The denominator is the modelled number of people with diabetes who would be expected to die from these complications, based on data from the National Diabetes Audit. ## Caveats No specific caveats are noted for this indicator. However, as with all modelled data, assumptions and estimation methods may influence the accuracy of the expected mortality figures. ## External References More information is available from the following source: * [National Diabetes Audit - NHS Digital] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Deaths from diabetic complications - ICP Outcomes Framework - Registered Locality

This dataset presents the relative risk of mortality from diabetic complications. It compares the observed number of deaths among people with diabetes due to specific complications—such as angina, myocardial infarction, heart failure, or stroke—with the expected number of such deaths in the diabetic population. The data is derived from ONS death registrations and modelled estimates from the National Diabetes Audit (NDA). ## Rationale People with diabetes are at increased risk of developing serious cardiovascular complications, which can lead to premature mortality. Monitoring mortality from these complications helps identify disparities in care and outcomes, and supports efforts to improve diabetes management and reduce preventable deaths. This indicator provides a benchmark for evaluating the effectiveness of interventions aimed at reducing cardiovascular risk in people with diabetes. ## Numerator The numerator is the number of people with diabetes, as recorded on their death certificate, who died from complications such as angina, myocardial infarction, heart failure, or stroke. ## Denominator The denominator is the modelled number of people with diabetes who would be expected to die from these complications, based on data from the National Diabetes Audit. ## Caveats No specific caveats are noted for this indicator. However, as with all modelled data, assumptions and estimation methods may influence the accuracy of the expected mortality figures. ## External References More information is available from the following source: * [National Diabetes Audit - NHS Digital] ## 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.
Neonatal death rate - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the crude rate of neonatal mortality, defined as the number of deaths of infants aged under 28 days per 1,000 live births. It is a vital indicator of perinatal and maternal health, reflecting the quality of antenatal, intrapartum, and neonatal care services. ## Rationale Reducing neonatal mortality is a key public health goal. Elevated rates may indicate challenges in maternal health, access to quality healthcare during pregnancy and childbirth, or complications in the early neonatal period. Monitoring this indicator supports efforts to improve maternity services and early life outcomes. ## Numerator The numerator is the number of deaths of infants aged under 28 days 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 – Neonatal Mortality Rate] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Neonatal death rate - ICP Outcomes Framework - Resident Locality

This dataset presents the crude rate of neonatal mortality, defined as the number of deaths of infants aged under 28 days per 1,000 live births. It is a vital indicator of perinatal and maternal health, reflecting the quality of antenatal, intrapartum, and neonatal care services. ## Rationale Reducing neonatal mortality is a key public health goal. Elevated rates may indicate challenges in maternal health, access to quality healthcare during pregnancy and childbirth, or complications in the early neonatal period. Monitoring this indicator supports efforts to improve maternity services and early life outcomes. ## Numerator The numerator is the number of deaths of infants aged under 28 days 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 – Neonatal 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.
Neonatal death rate - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset presents the crude rate of neonatal mortality, defined as the number of deaths of infants aged under 28 days per 1,000 live births. It is a vital indicator of perinatal and maternal health, reflecting the quality of antenatal, intrapartum, and neonatal care services. ## Rationale Reducing neonatal mortality is a key public health goal. Elevated rates may indicate challenges in maternal health, access to quality healthcare during pregnancy and childbirth, or complications in the early neonatal period. Monitoring this indicator supports efforts to improve maternity services and early life outcomes. ## Numerator The numerator is the number of deaths of infants aged under 28 days 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 – Neonatal Mortality Rate] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Offer of support and treatment for smokers - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of patients aged 15 years and over who are recorded as current smokers and have received an offer of support and treatment for smoking cessation within the preceding 24 months. The data is sourced from the Quality and Outcomes Framework (QOF), managed by NHS England, and reflects the extent to which primary care services are engaging with smokers to promote healthier lifestyles. ## Rationale Smoking remains one of the leading causes of preventable illness and death. Offering timely support and treatment to smokers is a proven strategy for reducing smoking prevalence and improving public health outcomes. This indicator helps assess how effectively healthcare providers are identifying smokers and offering them appropriate interventions to quit. ## Numerator The numerator is the number of patients aged 15 and over who are recorded as current smokers and have been offered support and treatment for smoking cessation within the last 24 months. This data is collected through the QOF by NHS England. ## Denominator The denominator is the total number of patients aged 15 and over who are recorded as current smokers, also sourced from the QOF dataset. ## Caveats One GP practice was excluded from the 2012/13 data due to missing source information. This omission may slightly affect historical comparisons. No other significant caveats were noted. ## External References [Public Health England – Fingertips Tool] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Offer of support and treatment for smokers - ICP Outcomes Framework - Registered Locality

This dataset presents the percentage of patients aged 15 years and over who are recorded as current smokers and have received an offer of support and treatment for smoking cessation within the preceding 24 months. The data is sourced from the Quality and Outcomes Framework (QOF), managed by NHS England, and reflects the extent to which primary care services are engaging with smokers to promote healthier lifestyles. ## Rationale Smoking remains one of the leading causes of preventable illness and death. Offering timely support and treatment to smokers is a proven strategy for reducing smoking prevalence and improving public health outcomes. This indicator helps assess how effectively healthcare providers are identifying smokers and offering them appropriate interventions to quit. ## Numerator The numerator is the number of patients aged 15 and over who are recorded as current smokers and have been offered support and treatment for smoking cessation within the last 24 months. This data is collected through the QOF by NHS England. ## Denominator The denominator is the total number of patients aged 15 and over who are recorded as current smokers, also sourced from the QOF dataset. ## Caveats One GP practice was excluded from the 2012/13 data due to missing source information. This omission may slightly affect historical comparisons. No other significant caveats were noted. ## 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.
Patients on statin or lipid lowering therapy - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of patients with cardiovascular disease (CVD) who are recorded as being on statin or other lipid-lowering therapy. It is based on data from the CVDPREVENT audit and includes patients aged 18 and over with GP-recorded diagnoses of coronary heart disease (CHD), non-haemorrhagic stroke, transient ischaemic attack (TIA), or peripheral arterial disease (PAD). ## Rationale Effective management of cholesterol is a key component of cardiovascular disease prevention and treatment. Statins and other lipid-lowering therapies are widely recommended for reducing the risk of further cardiovascular events. This indicator helps assess how well lipid management is being implemented in primary care for patients with established CVD. ## Numerator The numerator is the number of patients from the denominator group who have a recorded prescription for lipid-lowering therapy within the seven months prior to the audit end date. ## Denominator The denominator includes all patients aged 18 and over with a GP-recorded diagnosis of cardiovascular disease, defined narrowly to include CHD, non-haemorrhagic stroke, TIA, or PAD. ## Caveats CVDPREVENT provides a large but incomplete picture of patients with GP-recorded CVD in England. Patients who have opted out of sharing their identifiable data for purposes beyond their own care are not included in the audit, which may slightly underrepresent the true population. ## External References More information is available from the following source: * [CVDPREVENT Data Explorer] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Patients on statin or lipid lowering therapy - ICP Outcomes Framework - Registered Locality

This dataset presents the percentage of patients with cardiovascular disease (CVD) who are recorded as being on statin or other lipid-lowering therapy. It is based on data from the CVDPREVENT audit and includes patients aged 18 and over with GP-recorded diagnoses of coronary heart disease (CHD), non-haemorrhagic stroke, transient ischaemic attack (TIA), or peripheral arterial disease (PAD). ## Rationale Effective management of cholesterol is a key component of cardiovascular disease prevention and treatment. Statins and other lipid-lowering therapies are widely recommended for reducing the risk of further cardiovascular events. This indicator helps assess how well lipid management is being implemented in primary care for patients with established CVD. ## Numerator The numerator is the number of patients from the denominator group who have a recorded prescription for lipid-lowering therapy within the seven months prior to the audit end date. ## Denominator The denominator includes all patients aged 18 and over with a GP-recorded diagnosis of cardiovascular disease, defined narrowly to include CHD, non-haemorrhagic stroke, TIA, or PAD. ## Caveats CVDPREVENT provides a large but incomplete picture of patients with GP-recorded CVD in England. Patients who have opted out of sharing their identifiable data for purposes beyond their own care are not included in the audit, which may slightly underrepresent the true population. ## External References More information is available from the following source: * [CVDPREVENT Data Explorer] ## 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.
Uptake of NHS health checks - ICP Outcomes Framework - Birmingham and Solihull

This dataset reports the percentage of eligible individuals aged 40 to 74 who received an NHS Health Check during the current quarter. The NHS Health Check is a national risk assessment programme designed to help prevent heart disease, stroke, diabetes, kidney disease, and certain types of dementia. The data is collected and published by the Office for Health Improvement and Disparities (OHID). ## Rationale The NHS Health Check programme plays a vital role in the early identification and management of risk factors for cardiovascular and related conditions. Increasing the uptake of these checks supports better health outcomes through early intervention and lifestyle advice. This indicator helps monitor the reach and effectiveness of the programme across local populations. ## Numerator The numerator is the number of people aged 40 to 74 who were eligible for an NHS Health Check and received one during the current quarter. ## Denominator The denominator is the total number of people aged 40 to 74 who were eligible for an NHS Health Check during the financial year. ## Caveats There is considerable variation between local authorities in the number of Health Checks offered and received. In some cases, this may reflect differences in service delivery or data quality issues, which should be considered when interpreting the data. ## External References More information is available from the following source: * [NHS Health Check Programme] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Uptake of NHS health checks - ICP Outcomes Framework - Registered Locality

This dataset reports the percentage of eligible individuals aged 40 to 74 who received an NHS Health Check during the current quarter. The NHS Health Check is a national risk assessment programme designed to help prevent heart disease, stroke, diabetes, kidney disease, and certain types of dementia. The data is collected and published by the Office for Health Improvement and Disparities (OHID). ## Rationale The NHS Health Check programme plays a vital role in the early identification and management of risk factors for cardiovascular and related conditions. Increasing the uptake of these checks supports better health outcomes through early intervention and lifestyle advice. This indicator helps monitor the reach and effectiveness of the programme across local populations. ## Numerator The numerator is the number of people aged 40 to 74 who were eligible for an NHS Health Check and received one during the current quarter. ## Denominator The denominator is the total number of people aged 40 to 74 who were eligible for an NHS Health Check during the financial year. ## Caveats There is considerable variation between local authorities in the number of Health Checks offered and received. In some cases, this may reflect differences in service delivery or data quality issues, which should be considered when interpreting the data. ## External References More information is available from the following source: * [NHS Health Check Programme] ## 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.