AndreaBozzo/ceres-open-data-index huggingface dataset:
Diabetics (Type 1) meeting the 3 treatment targets - ICP Outcomes Framework - Birmingham and Solihull

This dataset reports the percentage of individuals with type 1 diabetes who have successfully achieved all three key treatment targets recommended by the National Institute for Health and Care Excellence (NICE). These targets include maintaining an HbA1c level of 58 mmol/mol or lower, a blood pressure level of 140/80 mmHg or lower, and, for those at high cardiovascular risk, being prescribed a statin. The dataset provides a valuable measure of effective diabetes management and supports analysis across different healthcare settings and population groups. ## Rationale Achieving all three treatment targets is associated with improved health outcomes and a reduced risk of complications for individuals with type 1 diabetes. This indicator helps assess the quality of diabetes care and supports efforts to enhance clinical management and long-term outcomes for people living with type 1 diabetes. ## Numerator The numerator includes the number of individuals with type 1 diabetes who have met all three NICE-recommended treatment targets: HbA1c ≤ 58 mmol/mol, blood pressure ≤ 140/80 mmHg, and statin prescription for those at high cardiovascular risk. Data is sourced from the National Diabetes Audit (NDA) and NHS England. ## Denominator The denominator includes all individuals registered with type 1 diabetes at GP practices participating in the National Diabetes Audit. This ensures a consistent and comprehensive population base for calculating the indicator. ## Caveats Data is collected over a 15-month period, from January 1st of the first year to March 31st of the following year. This extended reporting window may affect comparability with other datasets that use different timeframes. ## External references For more information, visit the [Public Health England Fingertips Diabetes Profile]. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Ethnic Group Deprivation Index (EGDI) - Birmingham LSOA

The Ethnic Group Deprivation Index (EGDI) is a metric designed to quantify socioeconomic deprivation across various ethnic groups within a population. This index combines indicators such as income, employment, education, housing conditions, and health access, offering insights into disparities faced by different ethnic groups. By highlighting specific deprivation levels, the EGDI enables researchers and policymakers to target interventions, analyse the impact of systemic inequality, and monitor progress toward reducing deprivation. The dataset is essential for understanding the socioeconomic challenges of diverse communities and fostering more equitable policy planning and resource allocation. The EGDI is based on a tailored 2021 Census dataset that cross-references data on employment, housing, education, and health by ethnic group. This index highlights detailed local areas where ethnic inequalities persist but have largely been overlooked, despite their significant impact on life opportunities and overall well-being. The EGDI shows that even within the same neighbourhood, different ethnic groups can face vastly different levels of deprivation—where one group may struggle with high levels of need, another may experience minimal challenges. This index offers valuable insights for creating culturally relevant policies and guiding the allocation of resources at the community level. For the Extent of inequality score the closer to zero the better indicating that all ethnic groups have similar deprivation levels. (lower is better) For the decile 1 indicates the most deprived 10% in England and Wales; 10 indicates the least deprived 10% in England and Wales. (higher is better). For further information and a detailed breakdown of methodology see: [https://gedi.ac.uk/articles/an-ethnic-group-specific-deprivation-index-for-measuring-neighbourhood-inequalities-in-england-and-wales/]
Diabetics (Type 1) receiving all 8 care processes - ICP Outcomes Framework - Registered Locality

This dataset presents the percentage of individuals with type 1 diabetes who have received all eight recommended care processes as defined by the National Diabetes Audit (NDA). These care processes are essential for the effective monitoring and management of diabetes and include assessments such as body mass index (BMI), blood pressure, smoking status, HbA1c, cholesterol, urine albumin, serum creatinine, and foot examination for nerve and circulation health. The dataset provides insight into the delivery of routine diabetes care across healthcare settings. ## Rationale Receiving all eight care processes is linked to better monitoring, early detection of complications, and improved long-term outcomes for individuals with type 1 diabetes. This indicator supports the evaluation of care quality and helps identify areas for improvement in the management of type 1 diabetes. ## Numerator The numerator includes the number of individuals with type 1 diabetes who received all eight care processes within the audit period. These processes are: BMI measurement, blood pressure check, smoking status recording, HbA1c test, cholesterol test, urine albumin test, serum creatinine test, and foot examination for nerve and circulation health. Data is sourced from the National Diabetes Audit (NDA) and NHS England. ## Denominator The denominator includes all individuals registered with type 1 diabetes at GP practices participating in the National Diabetes Audit. This ensures a consistent and representative population base for calculating the indicator. ## Caveats Data is collected over a 15-month period ## 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.
Child mortality rate - ICP Outcomes Framework - Resident Locality

This dataset presents the age-standardised mortality rate among children aged 1 to 17 years. It captures the number of deaths from all causes within this age group, registered during calendar years, and expresses the rate per 100,000 population. The data is age-standardised to allow for fair comparisons across different populations and time periods, accounting for variations in age structure. ## Rationale Reducing child mortality is a key public health priority. Monitoring mortality rates among children aged 1 to 17 years provides critical insight into the overall health and wellbeing of this population group, and helps identify areas where interventions may be needed to improve outcomes and reduce preventable deaths. ## Numerator The numerator is defined as the number of deaths from all causes among children aged 1 to 17 years, registered in the calendar year. This data is sourced from the Death Register. ## Denominator The denominator is the mid-year population estimate for children aged 1 to 17 years, based on single year of age and sex for local authorities in England and Wales. These estimates are derived from the 2021 Census. ## Caveats There are no specific caveats noted for this dataset. However, users should consider potential limitations related to registration delays or changes in population estimates over time. ## 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.
Breast screening uptake - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of eligible women aged 50 to 70 who received a breast screening test result within six months of being invited for screening. The data is collected through the NHS England Breast Screening Programme (BSP) and reflects the uptake of breast cancer screening services across general practices in England. It is a key indicator of early detection efforts and public engagement with cancer prevention services. ## Rationale Breast cancer screening is vital for early detection and treatment, significantly improving survival rates. Increasing screening uptake helps identify cancers at an earlier, more treatable stage. This indicator supports efforts to monitor and improve participation in national cancer screening programmes, particularly among eligible women aged 50 to 70. ## Numerator The numerator is the number of women aged 50 to 70, registered to the practice on the last day of the review period, who were invited for breast screening in the previous 12 months and had a screening test result recorded within six months of the invitation. This data is sourced from NHS England’s Breast Screening Programme (BSP). ## Denominator The denominator is the total number of women aged 50 to 70, registered to the practice on the last day of the review period, who were invited for breast screening in the previous 12 months. This is also sourced from the BSP dataset. ## Caveats Data for between 1 (0.55%) and 14 (7.7%) of GP practices is missing for each year from 2009/10 to 2021/22, except for 2015/16. These practices were excluded from the 2012/13 value calculation. Additionally, the indicator may be based on a small number of patients for some practices, which could affect reliability at the local level. ## External References [Public Health England – Fingertips Tool] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Diabetics (Type 1) receiving all 8 care processes - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of individuals with type 1 diabetes who have received all eight recommended care processes as defined by the National Diabetes Audit (NDA). These care processes are essential for the effective monitoring and management of diabetes and include assessments such as body mass index (BMI), blood pressure, smoking status, HbA1c, cholesterol, urine albumin, serum creatinine, and foot examination for nerve and circulation health. The dataset provides insight into the delivery of routine diabetes care across healthcare settings. ## Rationale Receiving all eight care processes is linked to better monitoring, early detection of complications, and improved long-term outcomes for individuals with type 1 diabetes. This indicator supports the evaluation of care quality and helps identify areas for improvement in the management of type 1 diabetes. ## Numerator The numerator includes the number of individuals with type 1 diabetes who received all eight care processes within the audit period. These processes are: BMI measurement, blood pressure check, smoking status recording, HbA1c test, cholesterol test, urine albumin test, serum creatinine test, and foot examination for nerve and circulation health. Data is sourced from the National Diabetes Audit (NDA) and NHS England. ## Denominator The denominator includes all individuals registered with type 1 diabetes at GP practices participating in the National Diabetes Audit. This ensures a consistent and representative population base for calculating the indicator. ## Caveats Data is collected over a 15-month period [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
NHS Diabetic Eye Screening Programme uptake - routine digital screening

The proportion of those offered a routine diabetic eye screening appointment who attend and complete a routine digital screening event where images are captured Data is available by Sub ICB ([Integrated Care Board]) location. Data update is sporadic as the source has no clear publication schedule. ## Rationale Early identification and treatment of diabetic eye disease could reduce sight loss. This indicator provides an opportunity to incentivise screening promotion and other local initiatives to increase uptake of diabetic eye screening. Uptake is an important measure of programme performance. A low uptake may be due to people with diabetes not wishing to be screened, not understanding the importance of being screened, forgetting the appointment or not being able to easily access the screening service. ## Definition of numerator Number of people who have attended a successful routine digital screening event within the reporting period, where images are captured such that a screening outcome can be determined ## Definition of denominator Number of people offered a routine digital screening event which was due to take place within the reporting period ## Caveats The numerator includes instances where one or both eyes are not assessable through digital photography and a screening outcome of ‘ungradable’ is assigned. In these cases a subsequent invitation to a slit lamp biomicroscopy clinic is issued, the screening event is considered ‘complete’ and is counted in the numerator of this performance measure. Returns were reported as missing or no returns for the North East Manchester Diabetic Eye Screening Programme. As a result this eye screening programme was not included in the regional summary. The Bath, Swindon and Wiltshire DESP had data migration issues due to the merger into the new DESP. This affected their DE1 data until Q2 2018 to 2019. In January 2020 Staffordshire and Shropshire services merged. Due to software migration, invitation data were only available for January to March (Q4) and are not representative of a full year in April 2019 to March 2020. Hospital trusts that did not return values for 2022 include: The Hillingdon Hospitals NHS Foundation Trust, Countess of Chester Hospital NHS Foundation Trust, University Hospitals of Leicester NHS Trust, County Durham and Darlington NHS Foundation Trust, East Lancashire Hospitals NHS Trust, Gloucestershire Hospitals NHS Foundation Trust, University Hospitals Dorset NHS Foundation Trust. These trusts have not been included in the higher level summaries.
Womens Health Needs in Birmingham

## Women’s Health Needs in Birmingham (2024) Women’s Health Needs in Birmingham (2024). The Gender-related Health Inequalities programme aims to influence and support local actions to reduce health inequalities affecting women, men and non-binary populations in Birmingham. Beneath these inequalities lie many interconnected factors such as social determinants, risk behaviours, and gender norms around health-seeking. There are also important intersectional factors, with certain subgroups of people being particularly disadvantaged – e.g. homeless people, sex workers or those in contact with the criminal justice system. The Women’s Health Needs in Birmingham (2024) report aims to highlight key health inequalities experienced by women in Birmingham. The research found that women's health in Birmingham faces a number of challenges spanning the need for greater prevention of premature mortality linked to lifestyle-related risk factors, specialist, intersectional approaches to mental health service provision, improvements in maternal care, and a multi-agency approach to reducing violence against women and girls. 17.7% more women under 75 died from cancer in Birmingham compared to England (OHID, 2022). Despite women in Birmingham experiencing high mortality rates from circulatory, respiratory, and cancer-related illnesses, screening for cancers such as breast and cervical cancer remains lower than national. Furthermore, cardiovascular disease (CVDs) disproportionately affects Birmingham's female population. The prevalence of obesity, especially among marginalized communities, exacerbates health inequalities, with socioeconomic status strongly linked to risk factors including low rates of physical activity and lower levels of health literacy. All the above highlight the growing need to develop a gender-based approach to reducing health inequalities in the city. For further details, please visit: [https://www.birmingham.gov.uk/info/50342/public_health_reports/2946/gender_health_inequalities ] ## Viewing and downloading This dataset contains unstructured files such as documents, PDF's and images. To view and download the files click on the Table tab at the top and select the desired file in the File name column. You may use the filters to further refine your selection. ℹ️ Note The Export and API will only download the table of contents.
Diabetics (Type 2) meeting the 3 treatment targets - ICP Outcomes Framework - Registered Locality

This dataset presents the percentage of individuals with type 2 diabetes who have successfully achieved all three key treatment targets recommended by the National Institute for Health and Care Excellence (NICE). These targets include maintaining an HbA1c level of 58 mmol/mol or lower, a blood pressure level of 140/80 mmHg or lower, and, for those at high cardiovascular risk, being prescribed a statin. The dataset provides a valuable measure of effective diabetes management and supports analysis across different population groups and healthcare settings. ## Rationale Achieving all three treatment targets is associated with better health outcomes and reduced risk of diabetes-related complications. This indicator helps assess the quality of diabetes care and supports efforts to improve clinical management and patient outcomes for people living with type 2 diabetes. ## Numerator The numerator includes the number of individuals with type 2 diabetes who have met all three NICE-recommended treatment targets: HbA1c ≤ 58 mmol/mol, blood pressure ≤ 140/80 mmHg, and statin prescription for those at high cardiovascular risk. Data is sourced from the National Diabetes Audit (NDA) and NHS England. ## Denominator The denominator includes all individuals aged 12 and over who are registered with type 2 diabetes at GP practices participating in the National Diabetes Audit. This ensures a consistent and comprehensive population base for calculating the indicator. ## Caveats Data is collected over a 15-month period, from January 1st of the first year to March 31st of the following year. This extended reporting window may affect comparability with other datasets that use different timeframes. ## External references For more information, visit the [Public Health England Fingertips Diabetes Profile]. ## 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.
Diabetics (Type 2) meeting the 3 treatment targets - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of individuals with type 2 diabetes who have successfully achieved all three key treatment targets recommended by the National Institute for Health and Care Excellence (NICE). These targets include maintaining an HbA1c level of 58 mmol/mol or lower, a blood pressure level of 140/80 mmHg or lower, and, for those at high cardiovascular risk, being prescribed a statin. The dataset provides a valuable measure of effective diabetes management and supports analysis across different population groups and healthcare settings. ## Rationale Achieving all three treatment targets is associated with better health outcomes and reduced risk of diabetes-related complications. This indicator helps assess the quality of diabetes care and supports efforts to improve clinical management and patient outcomes for people living with type 2 diabetes. ## Numerator The numerator includes the number of individuals with type 2 diabetes who have met all three NICE-recommended treatment targets: HbA1c ≤ 58 mmol/mol, blood pressure ≤ 140/80 mmHg, and statin prescription for those at high cardiovascular risk. Data is sourced from the National Diabetes Audit (NDA) and NHS England. ## Denominator The denominator includes all individuals aged 12 and over who are registered with type 2 diabetes at GP practices participating in the National Diabetes Audit. This ensures a consistent and comprehensive population base for calculating the indicator. ## Caveats Data is collected over a 15-month period, from January 1st of the first year to March 31st of the following year. This extended reporting window may affect comparability with other datasets that use different timeframes. ## External references For more information, visit the [Public Health England Fingertips Diabetes Profile]. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.