AndreaBozzo/ceres-open-data-index huggingface dataset:
Patients taking up offer of Diabetes Prevention Programme - ICP Outcomes Framework - Birmingham and Solihull

This dataset shows the percentage of patients with non-diabetic hyperglycaemia who took up an offer to participate in the NHS Diabetes Prevention Programme (DPP). The indicator reflects engagement with preventative services aimed at reducing the risk of developing type 2 diabetes. Data is sourced from the National Diabetes Audit (NDA) and includes patients registered at participating GP practices. ## Rationale The NHS Diabetes Prevention Programme is a key initiative to reduce the incidence of type 2 diabetes by supporting individuals at high risk through lifestyle interventions. Monitoring the uptake of DPP courses helps assess the reach and effectiveness of the programme and supports efforts to improve early intervention and reduce long-term health complications. ## Numerator The numerator is the number of patients with non-diabetic hyperglycaemia who were offered and did not decline a DPP course, as recorded by GP practices participating in the National Diabetes Audit. ## Denominator The denominator includes all patients with non-diabetic hyperglycaemia registered at GP practices that participated in the National Diabetes Audit. ## Caveats Some individuals with diabetes may be excluded from the dataset if they were not registered with a GP practice at the time of data collection. This may affect the completeness of the data and the accuracy of the reported uptake rate. ## External References More information is available from the following source: * [National Diabetes Audit - NDH & DPP] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Patients taking up offer of Diabetes Prevention Programme - ICP Outcomes Framework - Registered Locality

This dataset shows the percentage of patients with non-diabetic hyperglycaemia who took up an offer to participate in the NHS Diabetes Prevention Programme (DPP). The indicator reflects engagement with preventative services aimed at reducing the risk of developing type 2 diabetes. Data is sourced from the National Diabetes Audit (NDA) and includes patients registered at participating GP practices. ## Rationale The NHS Diabetes Prevention Programme is a key initiative to reduce the incidence of type 2 diabetes by supporting individuals at high risk through lifestyle interventions. Monitoring the uptake of DPP courses helps assess the reach and effectiveness of the programme and supports efforts to improve early intervention and reduce long-term health complications. ## Numerator The numerator is the number of patients with non-diabetic hyperglycaemia who were offered and did not decline a DPP course, as recorded by GP practices participating in the National Diabetes Audit. ## Denominator The denominator includes all patients with non-diabetic hyperglycaemia registered at GP practices that participated in the National Diabetes Audit. ## Caveats Some individuals with diabetes may be excluded from the dataset if they were not registered with a GP practice at the time of data collection. This may affect the completeness of the data and the accuracy of the reported uptake rate. ## External References More information is available from the following source: * [National Diabetes Audit - NDH & DPP] ## 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.
People with managed hypertension - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of patients with GP-recorded hypertension whose most recent blood pressure reading, taken within the last 12 months, meets the appropriate treatment threshold. It is based on data from the CVDPREVENT audit and includes adults aged 18 and over with a current diagnosis of hypertension. ## Rationale Effective management of hypertension is critical for reducing the risk of cardiovascular events such as heart attacks and strokes. This indicator helps assess how well blood pressure is being controlled in primary care settings and supports efforts to improve the quality of care for people with hypertension. ## Numerator The numerator includes patients from the denominator group whose last blood pressure reading in the past 12 months meets the age- and setting-specific treatment thresholds: * Patients under 80: clinic BP < 140/90 mmHg or home/ambulatory BP < 135/85 mmHg * Patients aged 80 and over: clinic BP < 150/90 mmHg or home/ambulatory BP < 145/85 mmHg ## Denominator The denominator includes all patients aged 18 and over with a GP-recorded diagnosis of hypertension and no subsequent code indicating that the condition has been resolved. ## Caveats CVDPREVENT provides a large but incomplete picture of patients with GP-recorded cardiovascular disease in England. A small proportion of patients have opted out of sharing their identifiable data for purposes beyond their own care, and these individuals are not included in the audit. ## 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.
People with managed hypertension - ICP Outcomes Framework - Registered Locality

This dataset presents the percentage of patients with GP-recorded hypertension whose most recent blood pressure reading, taken within the last 12 months, meets the appropriate treatment threshold. It is based on data from the CVDPREVENT audit and includes adults aged 18 and over with a current diagnosis of hypertension. ## Rationale Effective management of hypertension is critical for reducing the risk of cardiovascular events such as heart attacks and strokes. This indicator helps assess how well blood pressure is being controlled in primary care settings and supports efforts to improve the quality of care for people with hypertension. ## Numerator The numerator includes patients from the denominator group whose last blood pressure reading in the past 12 months meets the age- and setting-specific treatment thresholds: * Patients under 80: clinic BP < 140/90 mmHg or home/ambulatory BP < 135/85 mmHg * Patients aged 80 and over: clinic BP < 150/90 mmHg or home/ambulatory BP < 145/85 mmHg ## Denominator The denominator includes all patients aged 18 and over with a GP-recorded diagnosis of hypertension and no subsequent code indicating that the condition has been resolved. ## Caveats CVDPREVENT provides a large but incomplete picture of patients with GP-recorded cardiovascular disease in England. A small proportion of patients have opted out of sharing their identifiable data for purposes beyond their own care, and these individuals are not included in the audit. ## 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.
PPV immunisations - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents information on population vaccination coverage for the pneumococcal polysaccharide vaccine (PPV) among adults aged 65 years and over in England. It provides insights into the uptake of PPV immunisations at the Upper Tier Local Authority (UTLA) level, supporting public health monitoring and efforts to increase immunisation rates in older adults. The data is sourced from the UK Health Security Agency (UKHSA) and the Office for Health Improvement and Disparities (OHID), and is intended to inform local and national strategies for respiratory disease prevention. ## Rationale The rationale for this indicator is to support the increase in uptake of immunisations, specifically targeting the PPV vaccine. This aligns with public health objectives to reduce the incidence of pneumococcal disease in older populations, who are at higher risk of complications from respiratory infections. ## Numerator The numerator is defined as the number of adults aged 65 years and over who have received the PPV vaccine. This data is collected and provided by the UKHSA at the UTLA level. ## Denominator The denominator is the total number of adults aged 65 years and over. This population estimate is also sourced from UKHSA at the UTLA level. ## Caveats The PPV vaccine uptake data is a snapshot based on GP patient records at the time of data extraction. It may not include individuals who have been vaccinated but whose records have not yet been updated, those who have moved, or those who have died since vaccination. Additionally, the completeness of the data depends on the proportion of GP practices that submitted information for the survey period. ## External references * [UK Government: Vaccine Uptake - PPV] * [OHID Fingertips: PPV Immunisations] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Premature births - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the rate of premature live births (defined as births occurring between 24 and 36 weeks of gestation) and all stillbirths, expressed per 1,000 total live births and stillbirths. The data is sourced from the Office for National Statistics (ONS) and provides a critical measure of perinatal health outcomes across England. ## Rationale Premature birth is a leading cause of neonatal morbidity and mortality. Monitoring the rate of preterm births and stillbirths helps identify trends, inform maternity care practices, and guide public health interventions aimed at improving maternal and infant health. Reducing the rate of premature births is a key objective in improving early life outcomes and reducing health inequalities. ## Numerator The numerator is the number of premature live births (gestational age between 24 and 36 weeks) combined with all stillbirths. This data is obtained from ONS Adhoc tables. ## Denominator The denominator is the total number of live births and stillbirths, also sourced from ONS Adhoc tables. ## Caveats No specific caveats were noted in the source metadata. However, as with all birth statistics, data quality depends on accurate and complete reporting of gestational age and birth outcomes. ## External References [ONS – Health and Life Events User Guidance] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Prevalence of depression in adults - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the prevalence of depression and anxiety among adults, serving as a key indicator of mental health within the population. It is intended to support monitoring and evaluation efforts aimed at improving mental health outcomes and reducing the burden of common mental disorders. The data is expressed as a percentage, reflecting the proportion of adults experiencing depression and/or anxiety. ## Rationale Mental health is a critical component of overall well-being. Monitoring the prevalence of depression and anxiety in adults helps inform public health strategies, allocate resources effectively, and evaluate the impact of mental health interventions. Reducing the prevalence of these conditions is a priority for improving quality of life and reducing associated social and economic costs. ## Numerator The numerator for this indicator is currently unspecified. It would typically represent the number of adults identified as experiencing depression and/or anxiety within a defined population and time period. ## Denominator The denominator is also unspecified in the current metadata. It would generally be the total number of adults in the population under study during the same time period. ## Caveats At present, the dataset lacks detailed definitions for both the numerator and denominator, as well as the data sources. This limits the interpretability and comparability of the indicator. Users should exercise caution when drawing conclusions or making comparisons based on this data. ## External References No external references have been provided. For further context or methodological guidance, users may refer to national health surveys or reports from organizations such as the [World Health Organization]. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Prevalence of depression in adults - ICP Outcomes Framework - Registered Locality

This dataset presents the prevalence of depression and anxiety among adults, serving as a key indicator of mental health within the population. It is intended to support monitoring and evaluation efforts aimed at improving mental health outcomes and reducing the burden of common mental disorders. The data is expressed as a percentage, reflecting the proportion of adults experiencing depression and/or anxiety. ## Rationale Mental health is a critical component of overall well-being. Monitoring the prevalence of depression and anxiety in adults helps inform public health strategies, allocate resources effectively, and evaluate the impact of mental health interventions. Reducing the prevalence of these conditions is a priority for improving quality of life and reducing associated social and economic costs. ## Numerator The numerator for this indicator is currently unspecified. It would typically represent the number of adults identified as experiencing depression and/or anxiety within a defined population and time period. ## Denominator The denominator is also unspecified in the current metadata. It would generally be the total number of adults in the population under study during the same time period. ## Caveats At present, the dataset lacks detailed definitions for both the numerator and denominator, as well as the data sources. This limits the interpretability and comparability of the indicator. Users should exercise caution when drawing conclusions or making comparisons based on this data. ## External References No external references have been provided. For further context or methodological guidance, users may refer to national health surveys or reports from organizations such as the [World Health Organization]. ## 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.
Prevalence of diabetes type 2 - ICP Outcomes Framework - Birmingham and Solihull

This dataset provides the percentage of individuals aged 40 to 64 who are registered with type 2 diabetes, based on data from GP practices participating in the National Diabetes Audit (NDA). It offers insights into the burden of type 2 diabetes within this age group and supports efforts to monitor and reduce its prevalence through targeted public health interventions. ## Rationale The indicator aims to reduce the prevalence of type 2 diabetes among adults aged 40 to 64. Monitoring this age group is critical, as early detection and management of diabetes can significantly reduce the risk of complications and improve long-term health outcomes. ## Numerator The numerator is the number of people aged 40 to 64 who are registered with type 2 diabetes at GP practices that participate in the National Diabetes Audit. ## Denominator The denominator is the total number of people registered with type 2 diabetes at participating GP practices, regardless of age. ## Caveats The data is collected over a 15-month period, from January 1st of the first year to March 31st of the following year. Individuals not registered with a GP practice at the time of data collection are excluded. From 2022–23 onwards, values are not reported where the denominator is 20 or fewer, to protect confidentiality and ensure data reliability. ## External references [Public Health England - Fingertips: Prevalence of type 2 diabetes] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Prevalence of diabetes type 2 - ICP Outcomes Framework - Resident Locality

This dataset provides the percentage of individuals aged 40 to 64 who are registered with type 2 diabetes, based on data from GP practices participating in the National Diabetes Audit (NDA). It offers insights into the burden of type 2 diabetes within this age group and supports efforts to monitor and reduce its prevalence through targeted public health interventions. ## Rationale The indicator aims to reduce the prevalence of type 2 diabetes among adults aged 40 to 64. Monitoring this age group is critical, as early detection and management of diabetes can significantly reduce the risk of complications and improve long-term health outcomes. ## Numerator The numerator is the number of people aged 40 to 64 who are registered with type 2 diabetes at GP practices that participate in the National Diabetes Audit. ## Denominator The denominator is the total number of people registered with type 2 diabetes at participating GP practices, regardless of age. ## Caveats The data is collected over a 15-month period, from January 1st of the first year to March 31st of the following year. Individuals not registered with a GP practice at the time of data collection are excluded. From 2022–23 onwards, values are not reported where the denominator is 20 or fewer, to protect confidentiality and ensure data reliability. ## External references [Public Health England - Fingertips: Prevalence of type 2 diabetes] ## 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.
Prevalence of overweight - Reception - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of children aged 4 to 5 years in Reception who are classified as overweight or living with obesity. The data is sourced from the National Child Measurement Programme (NCMP), managed by NHS England, and provides a snapshot of early childhood weight status across England. It is a key indicator for monitoring trends in childhood obesity and informing public health interventions aimed at improving children's health outcomes. ## Rationale The rationale behind this indicator is to reduce the proportion of children in Reception who are overweight or obese. Early childhood is a critical period for establishing healthy behaviours, and excess weight at this age is associated with a higher risk of obesity and related health conditions later in life. Monitoring this metric supports targeted prevention strategies and policy development. ## Numerator The numerator is the number of children in Reception (aged 4 to 5 years) with a valid height and weight measurement who are classified as living with obesity or severe obesity, as recorded by the NCMP. ## Denominator The denominator is the total number of children in Reception (aged 4 to 5 years) with a valid height and weight measurement recorded by the NCMP. ## Caveats There is potential for error in the collection, collation, and interpretation of the data. This includes possible bias due to poor response rates or selective opt-out by participants, which may affect the representativeness of the results. ## External References For more information, visit the [Fingertips Public Health Profiles]. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.