AndreaBozzo/ceres-open-data-index huggingface dataset:
Mortality rate respiratory disease (Under 75 yrs) - ICP Outcomes Framework - ICP Outcomes Framework - Resident Locality

This dataset provides the directly age-standardised mortality rate from respiratory diseases in individuals under the age of 75. Respiratory diseases, including conditions such as chronic obstructive pulmonary disease (COPD), asthma, and pneumonia, are a major cause of premature death. This indicator supports the monitoring of respiratory health and the effectiveness of interventions aimed at reducing early mortality in the Birmingham and Solihull area. ## Rationale Reducing premature mortality from respiratory diseases is a key objective in improving population health and reducing health inequalities. This indicator helps to track progress in respiratory disease prevention, early diagnosis, and management, and supports strategic planning and resource allocation. ## Numerator The numerator is the number of deaths from respiratory diseases (ICD-10 codes J00–J99) registered in the respective calendar years, for individuals aged under 75. ## Denominator The denominator is the population of individuals under 75 years of age, also aggregated into quinary age bands. For single-year rates, the population is based on the 2021 Census. For three-year rolling averages, the denominator is the aggregated population-years over the three years. ## Caveats Data may not align with published Office for National Statistics (ONS) figures due to differences in postcode lookup versions and the application of comparability ratios used in Office for Health Improvement and Disparities (OHID) data. ## External references [Fingertips Public Health Profiles – Respiratory Disease 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.
Mortality rate respiratory disease (Under 75 yrs) - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset provides the directly age-standardised mortality rate from respiratory diseases in individuals under the age of 75. Respiratory diseases, including conditions such as chronic obstructive pulmonary disease (COPD), asthma, and pneumonia, are a major cause of premature death. This indicator supports the monitoring of respiratory health and the effectiveness of interventions aimed at reducing early mortality in the Birmingham and Solihull area. ## Rationale Reducing premature mortality from respiratory diseases is a key objective in improving population health and reducing health inequalities. This indicator helps to track progress in respiratory disease prevention, early diagnosis, and management, and supports strategic planning and resource allocation. ## Numerator The numerator is the number of deaths from respiratory diseases (ICD-10 codes J00–J99) registered in the respective calendar years, for individuals aged under 75. ## Denominator The denominator is the population of individuals under 75 years of age, also aggregated into quinary age bands. For single-year rates, the population is based on the 2021 Census. For three-year rolling averages, the denominator is the aggregated population-years over the three years. ## Caveats Data may not align with published Office for National Statistics (ONS) figures due to differences in postcode lookup versions and the application of comparability ratios used in Office for Health Improvement and Disparities (OHID) data. ## External references [Fingertips Public Health Profiles – Respiratory Disease Indicator] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Mortality from acute myocardial infarction (under 75 yrs) - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset presents the crude mortality rate from acute myocardial infarction (AMI) among individuals under the age of 75. Acute myocardial infarction, commonly known as a heart attack, is a critical cardiovascular condition that can lead to premature death if not promptly treated. The dataset captures the number of deaths where AMI is recorded as the primary cause, providing valuable insight into the burden of this condition on the population and supporting efforts to monitor and reduce early mortality from cardiovascular diseases. ## Rationale The primary aim of this indicator is to support the reduction of premature mortality from acute myocardial infarction in individuals under 75 years of age. Monitoring this metric helps public health authorities and healthcare providers assess the effectiveness of prevention, early detection, and treatment strategies for cardiovascular disease. ## Numerator The numerator is defined as the number of deaths where acute myocardial infarction is recorded as the primary condition, identified using ICD-10 codes I21–I22. This data is sourced from the national Death Register. ## Denominator The denominator is the total population under the age of 75, based on figures from the 2021 Census. This allows for the calculation of a crude rate per 100,000 population. ## Caveats There are no specific caveats noted for this dataset. However, as with all mortality data, accuracy depends on the correct recording of cause of death and completeness of registration data. ## External References [Specification for AMI Mortality Indicator (NHS Digital)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Smoking in adults with a long term mental health condition - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the prevalence of smoking among adults aged 18 and over who have a long-term mental health condition. It is derived from the GP Patient Survey (GPPS) and reflects the proportion of individuals within this group who self-report as current smokers. The indicator provides insight into smoking behaviours among a population known to experience significant health inequalities. ## Rationale Adults with long-term mental health conditions are more likely to smoke than the general population, contributing to poorer physical health outcomes and reduced life expectancy. Reducing smoking prevalence in this group is a public health priority. This indicator supports efforts to monitor and address health disparities through targeted smoking cessation interventions. ## Numerator The numerator is the sum of individual weighted counts of respondents who self-report as current smokers (responses 3 or 4 to question Q55) and who also report having a long-term mental health condition (Q31_14 = true) in the GP Patient Survey. ## Denominator The denominator is the sum of individual weighted counts of all respondents who provided valid responses to both the smoking status (Q55) and long-term medical conditions (Q31) questions in the GP Patient Survey. ## Caveats No specific caveats are noted for this indicator. However, as with all self-reported survey data, responses may be subject to reporting bias or inaccuracies in self-assessment. ## External References More information is available from the following source: * [Fingertips Public Health Profiles] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Stroke prevalence - ICP Outcomes Framework - Registered Locality

This dataset presents the percentage of patients registered with a general practice who have a recorded history of stroke or transient ischaemic attack (TIA). The data is sourced from the Quality and Outcomes Framework (QOF) maintained by NHS Digital and reflects the prevalence of these conditions across GP practice populations. It serves as a key indicator for understanding the burden of cardiovascular disease within primary care settings. ## Rationale Stroke and TIA are major contributors to long-term disability and mortality. Monitoring their prevalence supports efforts to reduce the overall burden of cardiovascular disease. By identifying the proportion of patients affected, healthcare providers and policymakers can better allocate resources, plan interventions, and track progress in prevention and management strategies. ## Numerator The numerator consists of patients with a recorded diagnosis of stroke or transient ischaemic attack (TIA) on their GP practice's disease register. This information is collected through the Quality and Outcomes Framework (QOF), which incentivizes practices to maintain accurate and up-to-date clinical records. ## Denominator The denominator is the total number of patients registered at the GP practice, also sourced from the QOF. This provides the context needed to calculate the percentage of patients affected by stroke or TIA. ## Caveats There are no specific caveats noted for this indicator. However, it is important to consider that the accuracy of the data depends on consistent and comprehensive recording practices across GP surgeries. Variations in coding or diagnosis thresholds may affect comparability. ## 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.
Suicide rate - ICP Outcomes Framework - Birmingham and Solihull

This dataset provides the age-standardised rate of deaths from suicide and injury of undetermined intent. It includes deaths registered in calendar years and classified using specific ICD-10 codes. The data is aggregated into quinary age bands starting from age 10 and is expressed per 100,000 population. Age standardisation ensures comparability across different population groups and time periods. ## Rationale Reducing the suicide rate is a critical public health goal. Monitoring this indicator helps identify trends, assess the effectiveness of mental health interventions, and inform policy decisions aimed at preventing suicide and supporting at-risk populations. ## Numerator The numerator is the number of deaths from suicide and injury of undetermined intent. These are classified by underlying cause of death using ICD-10 codes X60–X84 (ages 10+ only) and Y10–Y34 (ages 15+ only), and are registered in the respective calendar years. The data is grouped into quinary age bands. ## Denominator The denominator is the aggregated population-years for individuals aged 10 and over, also grouped into quinary age bands. These population estimates are based on the 2021 Census. ## Caveats Rates for the period 2001 to 2006 were revised in March 2015. Prior to this revision, ICD code Y33.9 was incorrectly included, which resulted in inflated rates for those years. Users should be cautious when comparing data across this time span. ## External References Further details and related indicators can be accessed on the [Fingertips Public Health Profiles] website. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Mortality from acute myocardial infarction (under 75 yrs) - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the crude mortality rate from acute myocardial infarction (AMI) among individuals under the age of 75. Acute myocardial infarction, commonly known as a heart attack, is a critical cardiovascular condition that can lead to premature death if not promptly treated. The dataset captures the number of deaths where AMI is recorded as the primary cause, providing valuable insight into the burden of this condition on the population and supporting efforts to monitor and reduce early mortality from cardiovascular diseases. ## Rationale The primary aim of this indicator is to support the reduction of premature mortality from acute myocardial infarction in individuals under 75 years of age. Monitoring this metric helps public health authorities and healthcare providers assess the effectiveness of prevention, early detection, and treatment strategies for cardiovascular disease. ## Numerator The numerator is defined as the number of deaths where acute myocardial infarction is recorded as the primary condition, identified using ICD-10 codes I21–I22. This data is sourced from the national Death Register. ## Denominator The denominator is the total population under the age of 75, based on figures from the 2021 Census. This allows for the calculation of a crude rate per 100,000 population. ## Caveats There are no specific caveats noted for this dataset. However, as with all mortality data, accuracy depends on the correct recording of cause of death and completeness of registration data. ## External References [Specification for AMI Mortality Indicator (NHS Digital)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
One year survival from all cancers - ICP Outcomes Framework - Birmingham and Solihull

This dataset provides insights into one-year survival rates from all cancers, serving as a key indicator of early cancer outcomes. It measures the proportion of individuals diagnosed with an invasive cancer who survive for at least one year following their diagnosis. The dataset includes all invasive tumours classified under ICD-10 codes C00 to C97, excluding non-melanoma skin cancer (C44). It supports analysis across different population groups and geographies, including ethnicity, deprivation levels, and the Birmingham and Solihull (BSol) area. ## Rationale Improving one-year survival rates is a critical goal in cancer care, as it reflects the effectiveness of early diagnosis and initial treatment. This indicator helps monitor progress in reducing early mortality from cancer and supports targeted interventions to improve outcomes. ## Numerator The numerator includes individuals who were diagnosed with a specific type of cancer and died from the same type of cancer within one year of diagnosis. Only invasive cancers are included, as defined by ICD-10 codes C00 to C97, excluding non-melanoma skin cancer (C44). Data is sourced from the National Cancer Registration and Analysis Service (NCRAS). ## Denominator The denominator comprises all individuals diagnosed with an invasive cancer (ICD-10 codes C00 to C97, excluding C44) within a five-year period. This data is also sourced from the National Cancer Registration and Analysis Service (NCRAS). ## Caveats This dataset uses a simplified methodology that differs from the national calculation of one-year cancer survival. As a result, the figures presented here may not align with nationally published statistics. However, this approach enables the provision of survival data disaggregated by ethnicity, deprivation, and local geographies such as BSol, which is not always possible with national data. ## External references For more information, visit the [National Cancer Registration and Analysis Service (NCRAS)]. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Mortality from acute myocardial infarction (under 75 yrs) - ICP Outcomes Framework - Resident Locality

This dataset presents the crude mortality rate from acute myocardial infarction (AMI) among individuals under the age of 75. Acute myocardial infarction, commonly known as a heart attack, is a critical cardiovascular condition that can lead to premature death if not promptly treated. The dataset captures the number of deaths where AMI is recorded as the primary cause, providing valuable insight into the burden of this condition on the population and supporting efforts to monitor and reduce early mortality from cardiovascular diseases. ## Rationale The primary aim of this indicator is to support the reduction of premature mortality from acute myocardial infarction in individuals under 75 years of age. Monitoring this metric helps public health authorities and healthcare providers assess the effectiveness of prevention, early detection, and treatment strategies for cardiovascular disease. ## Numerator The numerator is defined as the number of deaths where acute myocardial infarction is recorded as the primary condition, identified using ICD-10 codes I21–I22. This data is sourced from the national Death Register. ## Denominator The denominator is the total population under the age of 75, based on figures from the 2021 Census. This allows for the calculation of a crude rate per 100,000 population. ## Caveats There are no specific caveats noted for this dataset. However, as with all mortality data, accuracy depends on the correct recording of cause of death and completeness of registration data. ## External References [Specification for AMI Mortality Indicator (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.
Emergency admissions for fractured neck of femur (over 65yrs) - ICP Outcomes Framework - Birmingham and Solihull

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.