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

This dataset presents the age-standardised mortality rate from drug misuse across the population. It captures deaths where the underlying cause is linked to mental and behavioural disorders due to psychoactive substance use (excluding alcohol, tobacco, and volatile solvents), as well as deaths involving poisoning by controlled drugs. The data is sourced from the Office for National Statistics (ONS) and is intended to support public health monitoring and policy development aimed at reducing drug-related harm. ## Rationale The indicator is designed to track and reduce the mortality rate from drug misuse. Monitoring these deaths helps inform public health strategies, resource allocation, and interventions aimed at preventing drug-related harm and supporting individuals with substance use disorders. ## Numerator The numerator includes deaths where the underlying cause is coded to specific categories of mental and behavioural disorders due to psychoactive substance use (excluding alcohol, tobacco, and volatile solvents), as well as deaths involving poisoning by drugs controlled under the Misuse of Drugs Act 1971. These include accidental, intentional, undetermined, and assault-related poisonings, as well as disorders due to volatile solvents. ## Denominator The denominator is the total population of the relevant age group, as recorded in the 2021 Census. ## Caveats There are limitations in the classification and reporting of drug-related deaths, including potential underreporting or misclassification in death records. The indicator may not capture all deaths indirectly related to drug misuse, and changes in coding practices or legal definitions over time may affect comparability. ## External references [Public Health England - Fingertips: Deaths from drug misuse] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Dementia care plans reviewed in the last 12 months - ICP Outcomes Framework - Registered Locality

This dataset reports the percentage of patients diagnosed with dementia whose care plans have been reviewed in a face-to-face appointment within the preceding 12 months. It serves as a measure of the quality and continuity of care provided to individuals living with dementia, highlighting the extent to which regular, personalized care planning is maintained. ## Rationale Regular review of dementia care plans is essential to ensure that patients receive appropriate, up-to-date support tailored to their evolving needs. Increasing the proportion of patients receiving annual face-to-face reviews can improve care outcomes, enhance patient and caregiver satisfaction, and support better management of the condition. ## Numerator The numerator is the number of patients diagnosed with dementia who have had their care plan reviewed in a face-to-face appointment within the last 12 months. ## Denominator The denominator includes all patients on the dementia disease register, including those with Personalised Care Adjustments (PCAs). ## Caveats While the indicator reflects important aspects of dementia care, it may not capture the full quality or content of the care plan review. Additionally, reliance on face-to-face appointments may not account for alternative forms of engagement that could be clinically appropriate in some cases. ## External References Further information can be found on the [Fingertips Public Health Profiles] provided by the Office for Health Improvement and Disparities. ## 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.
Census 2021 Religion - Constituencies

This dataset provides Census 2021 estimates that classify households in Birmingham constituencies by religious group. The estimates are as at Census Day, 21 March 2021. The religion question in the Census refers to the religion people connect or identify with (their religious affiliation), whether or not they practise or have belief in it. Coverage This dataset is focused on the data for Birmingham at 2021 constituency level. About the 2021 Census The Census takes place every 10 years and gives us a picture of all the people and households in England and Wales. Protecting personal data The ONS sometimes need to make changes to data if it is possible to identify individuals. This is known as statistical disclosure control. In Census 2021, they: * Swapped records (targeted record swapping), for example, if a household was likely to be identified in datasets because it has unusual characteristics, they swapped the record with a similar one from a nearby small area. Very unusual households could be swapped with one in a nearby local authority. * Added small changes to some counts (cell key perturbation), for example, we might change a count of four to a three or a five. This might make small differences between tables depending on how the data are broken down when they applied perturbation. For more geographies, aggregations or topics see the link in the Reference below. Or, to create a custom dataset with multiple variables use the ONS [Create a custom dataset tool].
Deaths from drug misuse - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset presents the age-standardised mortality rate from drug misuse across the population. It captures deaths where the underlying cause is linked to mental and behavioural disorders due to psychoactive substance use (excluding alcohol, tobacco, and volatile solvents), as well as deaths involving poisoning by controlled drugs. The data is sourced from the Office for National Statistics (ONS) and is intended to support public health monitoring and policy development aimed at reducing drug-related harm. ## Rationale The indicator is designed to track and reduce the mortality rate from drug misuse. Monitoring these deaths helps inform public health strategies, resource allocation, and interventions aimed at preventing drug-related harm and supporting individuals with substance use disorders. ## Numerator The numerator includes deaths where the underlying cause is coded to specific categories of mental and behavioural disorders due to psychoactive substance use (excluding alcohol, tobacco, and volatile solvents), as well as deaths involving poisoning by drugs controlled under the Misuse of Drugs Act 1971. These include accidental, intentional, undetermined, and assault-related poisonings, as well as disorders due to volatile solvents. ## Denominator The denominator is the total population of the relevant age group, as recorded in the 2021 Census. ## Caveats There are limitations in the classification and reporting of drug-related deaths, including potential underreporting or misclassification in death records. The indicator may not capture all deaths indirectly related to drug misuse, and changes in coding practices or legal definitions over time may affect comparability. ## External references [Public Health England - Fingertips: Deaths from drug misuse] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Shaping Birminghams Future Together 2024

Documents relating to Shaping Birmingham's Future Together. "Shaping Birmingham's Future Together" is an initiative by Birmingham City Council aimed at engaging citizens in the development of the new Corporate Plan. This initiative involves a series of monthly meetings with the Strategic Partnership, extensive outreach efforts including emails and social media campaigns, and various engagement events both in-person and online. The goal is to gather insights and feedback from a diverse group of participants, addressing concerns such as public services, community issues, and suggestions for improvement. Despite challenges like financial constraints and negative media coverage, the initiative has successfully involved citizens in meaningful discussions about the future of Birmingham, highlighting the importance of community engagement and collaboration. 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.
Dementia care plans reviewed in the last 12 months - ICP Outcomes Framework - Birmingham and Solihull

This dataset reports the percentage of patients diagnosed with dementia whose care plans have been reviewed in a face-to-face appointment within the preceding 12 months. It serves as a measure of the quality and continuity of care provided to individuals living with dementia, highlighting the extent to which regular, personalized care planning is maintained. ## Rationale Regular review of dementia care plans is essential to ensure that patients receive appropriate, up-to-date support tailored to their evolving needs. Increasing the proportion of patients receiving annual face-to-face reviews can improve care outcomes, enhance patient and caregiver satisfaction, and support better management of the condition. ## Numerator The numerator is the number of patients diagnosed with dementia who have had their care plan reviewed in a face-to-face appointment within the last 12 months. ## Denominator The denominator includes all patients on the dementia disease register, including those with Personalised Care Adjustments (PCAs). ## Caveats While the indicator reflects important aspects of dementia care, it may not capture the full quality or content of the care plan review. Additionally, reliance on face-to-face appointments may not account for alternative forms of engagement that could be clinically appropriate in some cases. ## External References Further information can be found on the [Fingertips Public Health Profiles] provided by the Office for Health Improvement and Disparities. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Dementia diagnosis rate - ICP Outcomes Framework - Registered Locality

This dataset reports the dementia diagnosis rate among individuals aged 65 and over in England. It reflects the proportion of people within this age group who have a recorded diagnosis of dementia, compared to the estimated number of people expected to have dementia based on prevalence models. The data is derived from General Practice records and national prevalence estimates, offering a view into how effectively dementia is being identified and recorded in primary care settings. ## Rationale Improving the diagnosis rate of dementia is a key public health priority, as early identification allows for better care planning, support, and treatment. This indicator helps assess how well healthcare systems are performing in identifying dementia among older adults, and supports efforts to close the gap between estimated and recorded cases. ## Numerator The numerator includes patients aged 65 and older who are registered for General Medical Services and have an unresolved diagnosis of dementia. These counts are broken down by five-year age and sex bands and are extracted from GP Clinical Systems via the General Practice Extraction Service (GPES) on the last day of the reporting month. ## Denominator The denominator is the estimated number of people aged 65 and older expected to have dementia within the population. This estimate is calculated by applying reference prevalence rates to the registered population. ## Caveats From 2017 onwards, a new methodology was introduced for this indicator, which is not directly comparable with previous versions. As a result, overlapping time series data may show differing values. Users should exercise caution when comparing historical data. ## External References More information is available from the following sources: * [Recorded Dementia Diagnoses - NHS Digital] * [Primary Care Dementia Data - NHS Digital] * [Fingertips Public Health Profiles] ## 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 - Registered Locality

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] ## 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.
Census 2021 Tenure - Constituencies

This dataset provides Census 2021 estimates that classify households in Birmingham constituencies by tenure. The estimates are as at Census Day, 21 March 2021. Tenure: whether a household owns or rents the accommodation they occupy. Coverage This dataset is focused on the data for Birmingham at 2021 constituency level. About the 2021 Census The Census takes place every 10 years and gives us a picture of all the people and households in England and Wales. Protecting personal data The ONS sometimes need to make changes to data if it is possible to identify individuals. This is known as statistical disclosure control. In Census 2021, they: * Swapped records (targeted record swapping), for example, if a household was likely to be identified in datasets because it has unusual characteristics, they swapped the record with a similar one from a nearby small area. Very unusual households could be swapped with one in a nearby local authority. * Added small changes to some counts (cell key perturbation), for example, we might change a count of four to a three or a five. This might make small differences between tables depending on how the data are broken down when they applied perturbation. For more geographies, aggregations or topics see the link in the Reference below. Or, to create a custom dataset with multiple variables use the ONS [Create a custom dataset tool].
Dementia diagnosis rate - ICP Outcomes Framework - Birmingham and Solihull

This dataset reports the dementia diagnosis rate among individuals aged 65 and over in England. It reflects the proportion of people within this age group who have a recorded diagnosis of dementia, compared to the estimated number of people expected to have dementia based on prevalence models. The data is derived from General Practice records and national prevalence estimates, offering a view into how effectively dementia is being identified and recorded in primary care settings. ## Rationale Improving the diagnosis rate of dementia is a key public health priority, as early identification allows for better care planning, support, and treatment. This indicator helps assess how well healthcare systems are performing in identifying dementia among older adults, and supports efforts to close the gap between estimated and recorded cases. ## Numerator The numerator includes patients aged 65 and older who are registered for General Medical Services and have an unresolved diagnosis of dementia. These counts are broken down by five-year age and sex bands and are extracted from GP Clinical Systems via the General Practice Extraction Service (GPES) on the last day of the reporting month. ## Denominator The denominator is the estimated number of people aged 65 and older expected to have dementia within the population. This estimate is calculated by applying reference prevalence rates to the registered population. ## Caveats From 2017 onwards, a new methodology was introduced for this indicator, which is not directly comparable with previous versions. As a result, overlapping time series data may show differing values. Users should exercise caution when comparing historical data. ## External References More information is available from the following sources: * [Recorded Dementia Diagnoses - NHS Digital] * [Primary Care Dementia Data - NHS Digital] * [Fingertips Public Health Profiles] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Diabetics (Type 1) meeting the 3 treatment targets - ICP Outcomes Framework - Registered Locality

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]. ## 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.