AndreaBozzo/ceres-open-data-index huggingface dataset:
Emergency admissions for fractured neck of femur (over 65yrs) - ICP Outcomes Framework - Resident Locality

This dataset presents the age-standardised rate of emergency hospital admissions for fractured neck of femur (hip fractures) in individuals aged 65 and over. It serves as a key indicator of frailty, fall risk, and the effectiveness of preventative care and support services for older adults. ## Rationale Reducing hip fractures in older adults is a major public health goal, as these injuries are associated with significant morbidity, loss of independence, and increased mortality. Monitoring this indicator helps inform fall prevention strategies, osteoporosis management, and the planning of health and social care services for aging populations. ## Numerator The numerator is the number of first finished emergency admission episodes for patients aged 65 and over with a primary diagnosis of fractured neck of femur, identified using ICD-10 codes S72.0 (Fracture of neck of femur), S72.1 (Pertrochanteric fracture), and S72.2 (Subtrochanteric fracture). Admissions are included only if they have a valid Local Authority code and meet criteria for emergency admission (episode order = 1, admission method starts with '2'). Regular and day attenders are excluded. Data are sourced from NHS England’s Hospital Episode Statistics (HES). ## Denominator The denominator is the resident population aged 65 and over, based on the 2021 Census. ## Caveats This indicator uses a specific definition of fractured neck of femur based on primary diagnosis codes S72.0 to S72.2. Other definitions may include a broader range of S72 codes (e.g., S72.0 to S72.9), which could result in higher values. Therefore, comparisons with other datasets or definitions should be made with caution. ## External References [Fingertips Public Health Profiles – Hip Fractures (65+)] ## 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.
Emergency admissions for fractured neck of femur (over 65yrs) - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset presents the age-standardised rate of emergency hospital admissions for fractured neck of femur (hip fractures) in individuals aged 65 and over. It serves as a key indicator of frailty, fall risk, and the effectiveness of preventative care and support services for older adults. ## Rationale Reducing hip fractures in older adults is a major public health goal, as these injuries are associated with significant morbidity, loss of independence, and increased mortality. Monitoring this indicator helps inform fall prevention strategies, osteoporosis management, and the planning of health and social care services for aging populations. ## Numerator The numerator is the number of first finished emergency admission episodes for patients aged 65 and over with a primary diagnosis of fractured neck of femur, identified using ICD-10 codes S72.0 (Fracture of neck of femur), S72.1 (Pertrochanteric fracture), and S72.2 (Subtrochanteric fracture). Admissions are included only if they have a valid Local Authority code and meet criteria for emergency admission (episode order = 1, admission method starts with '2'). Regular and day attenders are excluded. Data are sourced from NHS England’s Hospital Episode Statistics (HES). ## Denominator The denominator is the resident population aged 65 and over, based on the 2021 Census. ## Caveats This indicator uses a specific definition of fractured neck of femur based on primary diagnosis codes S72.0 to S72.2. Other definitions may include a broader range of S72 codes (e.g., S72.0 to S72.9), which could result in higher values. Therefore, comparisons with other datasets or definitions should be made with caution. ## External References [Fingertips Public Health Profiles – Hip Fractures (65+)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Healthy life expectancy (female) at 65yrs - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset presents the average number of years a woman aged 65 can expect to live in good health, known as healthy life expectancy (HLE). It is a key measure of quality of life in later years and reflects both longevity and the prevalence of good health among older women. ## Rationale Increasing healthy life expectancy at age 65 for females is a major public health goal. It highlights the importance of not only living longer but also maintaining good health and independence in later life. This indicator supports the planning of health and social care services and helps assess the impact of health inequalities and lifestyle factors on aging populations. ## Numerator The numerator is derived from the number of deaths registered in the respective calendar years and the weighted prevalence of individuals reporting good or very good health, as captured by the Annual Population Survey (APS). Data are provided by the Office for National Statistics (ONS). ## Denominator The denominator is based on population estimates from the 2021 Census and the APS sample, weighted to reflect local authority population totals. These data are also provided by the ONS. ## Caveats Healthy life expectancy figures exclude residents of communal establishments, except for NHS housing and students in halls of residence who are included based on their parents' address. This may affect comparability in areas with large institutional populations. ## External References [Fingertips Public Health Profiles – Healthy Life Expectancy (Female)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
A&E attendances for young children (0-4yrs) - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the rate of Accident & Emergency (A&E) attendances among young children aged 0–4 years across England. It provides a crude rate per 1,000 population, offering insight into the frequency with which this age group accesses emergency care services. The data is derived from the Emergency Care Data Set (ECDS) maintained by NHS England and is linked to the child’s local authority of residence at the time of attendance. ## Rationale Monitoring A&E attendances for children aged 0–4 years is crucial for understanding patterns of urgent healthcare use in early childhood. High rates may indicate issues such as limited access to primary care, parental health-seeking behaviour, or broader public health concerns. Reducing unnecessary A&E attendances in this age group is a key public health objective, aiming to ensure children receive appropriate care in the most suitable settings. ## Numerator The numerator includes all A&E attendances for children aged 0–4 years at the time of attendance, with a valid gender recorded, and who are residents of England. Each child is assigned to their local authority of residence based on the location at the time of the A&E visit. ## Denominator The denominator is the resident population of children aged 0–4 years, based on data from the 2021 Census. ## Caveats There are no specific caveats noted for this dataset. However, users should consider potential limitations such as data completeness, accuracy of residency assignment, and changes in healthcare-seeking behaviour over time. ## External References [Public Health England – Fingertips Indicator] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
A&E attendances for young children (0-4yrs) - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset presents the rate of Accident & Emergency (A&E) attendances among young children aged 0–4 years across England. It provides a crude rate per 1,000 population, offering insight into the frequency with which this age group accesses emergency care services. The data is derived from the Emergency Care Data Set (ECDS) maintained by NHS England and is linked to the child’s local authority of residence at the time of attendance. ## Rationale Monitoring A&E attendances for children aged 0–4 years is crucial for understanding patterns of urgent healthcare use in early childhood. High rates may indicate issues such as limited access to primary care, parental health-seeking behaviour, or broader public health concerns. Reducing unnecessary A&E attendances in this age group is a key public health objective, aiming to ensure children receive appropriate care in the most suitable settings. ## Numerator The numerator includes all A&E attendances for children aged 0–4 years at the time of attendance, with a valid gender recorded, and who are residents of England. Each child is assigned to their local authority of residence based on the location at the time of the A&E visit. ## Denominator The denominator is the resident population of children aged 0–4 years, based on data from the 2021 Census. ## Caveats There are no specific caveats noted for this dataset. However, users should consider potential limitations such as data completeness, accuracy of residency assignment, and changes in healthcare-seeking behaviour over time. ## External References [Public Health England – Fingertips Indicator] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
A&E attendances for young children (0-4yrs) - ICP Outcomes Framework - Resident Locality

This dataset presents the rate of Accident & Emergency (A&E) attendances among young children aged 0–4 years across England. It provides a crude rate per 1,000 population, offering insight into the frequency with which this age group accesses emergency care services. The data is derived from the Emergency Care Data Set (ECDS) maintained by NHS England and is linked to the child’s local authority of residence at the time of attendance. ## Rationale Monitoring A&E attendances for children aged 0–4 years is crucial for understanding patterns of urgent healthcare use in early childhood. High rates may indicate issues such as limited access to primary care, parental health-seeking behaviour, or broader public health concerns. Reducing unnecessary A&E attendances in this age group is a key public health objective, aiming to ensure children receive appropriate care in the most suitable settings. ## Numerator The numerator includes all A&E attendances for children aged 0–4 years at the time of attendance, with a valid gender recorded, and who are residents of England. Each child is assigned to their local authority of residence based on the location at the time of the A&E visit. ## Denominator The denominator is the resident population of children aged 0–4 years, based on data from the 2021 Census. ## Caveats There are no specific caveats noted for this dataset. However, users should consider potential limitations such as data completeness, accuracy of residency assignment, and changes in healthcare-seeking behaviour over time. ## External References [Public Health England – Fingertips Indicator] ## 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.
Admissions for self harm in children (10 to 24 yrs) - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the age-standardised rate of emergency hospital admissions for intentional self-harm among children and young people aged 10 to 24. It highlights the scale of serious mental health challenges faced by young people and provides a critical measure for monitoring trends in self-harm requiring inpatient care. ## Rationale Reducing emergency admissions for self-harm in children and young people is a key public health goal. High admission rates may indicate unmet mental health needs, social pressures, or gaps in early intervention services. This indicator supports the development of targeted mental health strategies and resource allocation to improve outcomes for vulnerable youth. ## Numerator The numerator is the number of finished admission episodes for individuals aged 10 to 24 where the main recorded cause is intentional self-harm, identified using ICD-10 codes X60 to X84. These codes represent external causes of injury and poisoning. Data are sourced from the Secondary Uses Service (SUS) Inpatients Report. ## Denominator The denominator is the estimated resident population aged 10 to 24 years, based on mid-year population estimates by single year of age and sex for local authorities in England and Wales. These estimates are provided by the Office for National Statistics (ONS). ## Caveats This dataset reflects episodes of admission rather than individual patients, meaning multiple admissions by the same person are counted separately. It does not include attendances at Accident & Emergency (A&E) departments that do not result in admission. Local variations in referral and admission practices may also influence the data. ## External References [Fingertips Public Health Profiles – Self-Harm Admissions (10–24 years)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Admissions for self harm in children (10 to 24 yrs) - ICP Outcomes Framework - Resident Locality

This dataset presents the age-standardised rate of emergency hospital admissions for intentional self-harm among children and young people aged 10 to 24. It highlights the scale of serious mental health challenges faced by young people and provides a critical measure for monitoring trends in self-harm requiring inpatient care. ## Rationale Reducing emergency admissions for self-harm in children and young people is a key public health goal. High admission rates may indicate unmet mental health needs, social pressures, or gaps in early intervention services. This indicator supports the development of targeted mental health strategies and resource allocation to improve outcomes for vulnerable youth. ## Numerator The numerator is the number of finished admission episodes for individuals aged 10 to 24 where the main recorded cause is intentional self-harm, identified using ICD-10 codes X60 to X84. These codes represent external causes of injury and poisoning. Data are sourced from the Secondary Uses Service (SUS) Inpatients Report. ## Denominator The denominator is the estimated resident population aged 10 to 24 years, based on mid-year population estimates by single year of age and sex for local authorities in England and Wales. These estimates are provided by the Office for National Statistics (ONS). ## Caveats This dataset reflects episodes of admission rather than individual patients, meaning multiple admissions by the same person are counted separately. It does not include attendances at Accident & Emergency (A&E) departments that do not result in admission. Local variations in referral and admission practices may also influence the data. ## External References [Fingertips Public Health Profiles – Self-Harm Admissions (10–24 years)] ## 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.
Admissions for self harm in children (10 to 24 yrs)  - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset presents the age-standardised rate of emergency hospital admissions for intentional self-harm among children and young people aged 10 to 24. It highlights the scale of serious mental health challenges faced by young people and provides a critical measure for monitoring trends in self-harm requiring inpatient care. ## Rationale Reducing emergency admissions for self-harm in children and young people is a key public health goal. High admission rates may indicate unmet mental health needs, social pressures, or gaps in early intervention services. This indicator supports the development of targeted mental health strategies and resource allocation to improve outcomes for vulnerable youth. ## Numerator The numerator is the number of finished admission episodes for individuals aged 10 to 24 where the main recorded cause is intentional self-harm, identified using ICD-10 codes X60 to X84. These codes represent external causes of injury and poisoning. Data are sourced from the Secondary Uses Service (SUS) Inpatients Report. ## Denominator The denominator is the estimated resident population aged 10 to 24 years, based on mid-year population estimates by single year of age and sex for local authorities in England and Wales. These estimates are provided by the Office for National Statistics (ONS). ## Caveats This dataset reflects episodes of admission rather than individual patients, meaning multiple admissions by the same person are counted separately. It does not include attendances at Accident & Emergency (A&E) departments that do not result in admission. Local variations in referral and admission practices may also influence the data. ## External References [Fingertips Public Health Profiles – Self-Harm Admissions (10–24 years)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Asthma in last 12 months review - ICP Outcomes Framework - Birmingham and Solihull

This dataset reports the percentage of patients with asthma who have received a clinical review in the past 12 months. The indicator reflects the quality of ongoing asthma management in primary care and supports efforts to ensure regular monitoring and control of this chronic respiratory condition. The data is sourced from the Quality and Outcomes Framework (QOF) and published by NHS Digital. ## Rationale The rationale for this indicator is to increase the proportion of asthma patients who receive a clinical review annually. Regular reviews are essential for assessing asthma control, adjusting treatment plans, and reducing the risk of exacerbations and hospital admissions. ## Numerator The numerator is the number of patients on the asthma register who have had a clinical review in the last 12 months, with the review conducted on the same date as the assessment of asthma control. ## Denominator The denominator is the total number of patients aged 6 years and over on the asthma register, including those with Personal Care Adjustments (PCAs). ## Caveats No specific caveats are noted for this indicator, but data accuracy depends on consistent and timely recording of asthma reviews and assessments in GP systems. ## External references * [OHID Fingertips: Asthma Patients with a Review] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.