AndreaBozzo/ceres-open-data-index huggingface dataset:
Patients having a positive experience of their GP practice - ICP Outcomes Framework - Registered Locality

This dataset presents the percentage of people who reported having a positive experience with their GP practice, based on responses to the NHS England GP Patient Survey (GPPS). It reflects patient satisfaction and perceptions of primary care services, offering valuable insights into the quality of care and patient engagement at the local level. ## Rationale The rationale for this indicator is to increase the proportion of patients who report a positive experience with their GP practice. Patient satisfaction is a key component of healthcare quality and can influence health outcomes, service utilisation, and trust in the healthcare system. ## Numerator The numerator is the number of survey respondents who answered "Very good" or "Fairly good" to the question: "Overall, how would you describe your experience of your GP practice?" (Question 32 of the GPPS). ## Denominator The denominator includes all responses to the same question in the GP Patient Survey. ## Caveats For the 2024 survey, a revised questionnaire and a new 'online first' survey method were introduced. Due to these changes, it is not recommended to compare the results with those from previous years. ## External references * [OHID Fingertips: GP Patient Experience] ## 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 Asthma - ICP Outcomes Framework - Birmingham and Solihull

This dataset reports the percentage of patients aged 6 years and over who have asthma recorded on their general practice disease register. It provides a measure of asthma prevalence across the population, based on routinely collected data from the Quality and Outcomes Framework (QOF). The indicator helps to monitor the burden of asthma and supports healthcare planning and resource allocation. ## Rationale The rationale for this indicator is to support efforts to reduce the prevalence of asthma among individuals aged 6 years and over. By identifying and tracking cases, healthcare providers can better target interventions and improve management of this chronic respiratory condition. ## Numerator The numerator is the number of patients aged 6 years and over who are recorded as having asthma on the practice disease register. This excludes patients who have not been prescribed any asthma-related medication in the previous twelve months. ## Denominator The denominator is the total number of patients aged 6 years and over registered with the practice. This data is sourced from the Quality and Outcomes Framework (QOF), NHS Digital. ## Caveats Patients who have not been prescribed any asthma-related drugs in the past twelve months are excluded from the numerator, which may affect prevalence estimates. The data is dependent on accurate and up-to-date coding within GP systems. ## External references * [OHID Fingertips: Prevalence of Asthma (6yrs+)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Prevalence of Asthma - ICP Outcomes Framework - Registered Locality

This dataset reports the percentage of patients aged 6 years and over who have asthma recorded on their general practice disease register. It provides a measure of asthma prevalence across the population, based on routinely collected data from the Quality and Outcomes Framework (QOF). The indicator helps to monitor the burden of asthma and supports healthcare planning and resource allocation. ## Rationale The rationale for this indicator is to support efforts to reduce the prevalence of asthma among individuals aged 6 years and over. By identifying and tracking cases, healthcare providers can better target interventions and improve management of this chronic respiratory condition. ## Numerator The numerator is the number of patients aged 6 years and over who are recorded as having asthma on the practice disease register. This excludes patients who have not been prescribed any asthma-related medication in the previous twelve months. ## Denominator The denominator is the total number of patients aged 6 years and over registered with the practice. This data is sourced from the Quality and Outcomes Framework (QOF), NHS Digital. ## Caveats Patients who have not been prescribed any asthma-related drugs in the past twelve months are excluded from the numerator, which may affect prevalence estimates. The data is dependent on accurate and up-to-date coding within GP systems. ## External references * [OHID Fingertips: Prevalence of Asthma (6yrs+)] ## 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.
School readiness - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of children who achieved a good level of development at the end of the Early Years Foundation Stage (EYFS), typically assessed at the end of the Reception year. It provides a key measure of school readiness and early childhood development, helping to inform local and national strategies for improving early years education outcomes. ## Rationale The rationale for this indicator is to monitor and improve school readiness by tracking the proportion of children reaching a good level of development by the end of Reception. Achieving this milestone is associated with better educational outcomes and long-term wellbeing. ## Numerator The numerator is the number of children assessed as having reached a good level of development at the end of the EYFS, as reported by local authorities. ## Denominator The denominator is the total number of children eligible for the EYFS Profile assessment within each local authority. ## Caveats The EYFS Profile data includes all English providers of state-funded early years education (including academies and free schools), as well as private, voluntary, and independent (PVI) sector providers. Variations in assessment practices and local demographics may influence results. ## External references * [DfE: Early Years Foundation Stage Profile Statistics] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Emergency admissions for intentional self harm - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset presents the age-standardised rate of emergency hospital admissions for intentional self-harm across all age groups. It provides a critical measure of mental health-related harm requiring urgent medical intervention and supports the monitoring of trends in self-harm incidents that result in hospitalisation. ## Rationale Emergency admissions for self-harm are a significant public health concern, reflecting underlying mental health issues, social stressors, and access to support services. Monitoring this indicator helps inform mental health strategies, service planning, and targeted interventions aimed at reducing self-harm and improving wellbeing. ## Numerator The numerator is the number of first finished emergency admission episodes in which the patient was admitted with a cause code indicating intentional self-harm (ICD-10 codes X60 to X84). Admissions are included if the episode number is 1 and the admission method begins with '2'. Regular and day attenders are excluded. Data are sourced from the Secondary Uses Service (SUS) Inpatients Report. ## Denominator The denominator is the mid-year population estimate for all ages, as provided by the Office for National Statistics (ONS). ## Caveats In 2023, NHS England introduced a methodological change requiring Trusts to report Same Day Emergency Care (SDEC) to the Emergency Care Data Set (ECDS) by July 2024. Early adopter sites began reporting from 2021/22, with others following in 2022/23 and 2023/24. Some Trusts previously reported this activity under Admitted Patient Care, and the shift to ECDS may reduce the number of admissions captured by this indicator. NHSE has advised that SDEC activity cannot currently be accurately identified in existing data flows, and the impact of this change is expected to vary by diagnosis, particularly for indicators related to injuries and external causes. ## External References [Fingertips Public Health Profiles – Self-Harm Admissions] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Admissions for substance misuse (15 to 24 yrs) - ICP Outcomes Framework - Birmingham and Solihull

This dataset reports the rate of hospital admissions among young people aged 15 to 24 due to substance misuse. It captures the burden of acute and chronic health issues related to the use of drugs, alcohol, and other psychoactive substances, providing valuable insight into youth mental health and substance-related harm across local authorities in England and Wales. ## Rationale Reducing hospital admissions due to substance misuse in young people is a public health priority. High admission rates may reflect increased prevalence of substance use, lack of access to early intervention services, or broader social and mental health challenges. Monitoring this indicator helps inform targeted prevention and treatment strategies. ## Numerator The numerator includes hospital admissions where the primary diagnosis is a mental or behavioural disorder due to substance use (ICD-10 codes F11–F19), poisoning by narcotics or psychotropic substances (T40, T52, T59, T43.6), or external causes of poisoning (Y12, Y16, Y19). These data are sourced from the Secondary Uses Service (SUS). ## Denominator The denominator is the estimated resident population aged 15 to 24 years, based on mid-year population estimates from the 2021 Census for local authorities in England and Wales. ## Caveats The data reflect episodes of admission rather than individual patients, meaning repeat admissions by the same person are counted multiple times. Additionally, hospital admission rates may be influenced by local differences in referral and admission practices, not solely by the prevalence of substance misuse. ## External References [Fingertips Public Health Profiles – Substance Misuse Admissions (15–24 years)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Prevalence of COPD - ICP Outcomes Framework - Birmingham and Solihull

This dataset provides the percentage of patients diagnosed with chronic obstructive pulmonary disease (COPD) as recorded on general practice disease registers. It serves as a key indicator for understanding the burden of COPD within the population and supports efforts to monitor and manage respiratory health at the primary care level. ## Rationale COPD is a progressive respiratory condition that significantly impacts quality of life and healthcare resources. Monitoring its prevalence helps identify trends, allocate resources effectively, and evaluate the impact of public health interventions aimed at prevention, early diagnosis, and management. Reducing the prevalence of COPD is a public health priority. ## Numerator The numerator is the number of patients with a recorded diagnosis of COPD on the practice disease register. ## Denominator The denominator is the total number of patients registered with the practice (total practice list size). ## Caveats The accuracy of this indicator depends on the completeness and consistency of clinical coding within general practices. Variations in diagnostic practices or underdiagnosis may affect the reported prevalence. Additionally, the indicator does not account for disease severity or treatment outcomes. ## External References Further information is available 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.
Prevalence of COPD - ICP Outcomes Framework - Registered Locality

This dataset provides the percentage of patients diagnosed with chronic obstructive pulmonary disease (COPD) as recorded on general practice disease registers. It serves as a key indicator for understanding the burden of COPD within the population and supports efforts to monitor and manage respiratory health at the primary care level. ## Rationale COPD is a progressive respiratory condition that significantly impacts quality of life and healthcare resources. Monitoring its prevalence helps identify trends, allocate resources effectively, and evaluate the impact of public health interventions aimed at prevention, early diagnosis, and management. Reducing the prevalence of COPD is a public health priority. ## Numerator The numerator is the number of patients with a recorded diagnosis of COPD on the practice disease register. ## Denominator The denominator is the total number of patients registered with the practice (total practice list size). ## Caveats The accuracy of this indicator depends on the completeness and consistency of clinical coding within general practices. Variations in diagnostic practices or underdiagnosis may affect the reported prevalence. Additionally, the indicator does not account for disease severity or treatment outcomes. ## External References Further information is available 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.
Breast feeding at 6-8wks - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of babies who are receiving breast milk at 6 to 8 weeks of age across local areas. The 6 to 8 week check is a key milestone in early infant health monitoring, and breastfeeding status recorded at this point provides an important indicator of infant feeding practices and maternal health support in the early postnatal period. ## Rationale Breastfeeding provides significant health benefits for both infants and mothers. Increasing the percentage of newborn babies who are breastfeeding at 6 to 8 weeks is a public health priority, as it is associated with reduced risk of infection, improved developmental outcomes for infants, and long-term health benefits for mothers. Monitoring this indicator supports efforts to improve maternal and child health services and identify areas where additional support may be needed. ## Numerator The numerator is the number of infants at the 6 to 8 week check who are totally or partially breastfeeding. This includes both exclusively breastfed infants and those receiving a combination of breast milk and other feeds. ## Denominator The denominator is the number of infants due for 6 to 8 week checks within the reporting period and geographic area. ## Caveats Birmingham values from 2016/17 to 2023/24 and the Solihull value for 2016/17 have not been published due to data quality reasons. Users should be aware that this indicator is based on observation at the point of the 6 to 8 week check, and is therefore susceptible to measurement bias. Recorded breastfeeding status may not fully reflect actual feeding practices, as it captures a single point-in-time observation rather than a continuous measure. ## External References This data is sourced from the Office for Health Inequalities and Disparities (OHID) Child and Maternal Health Statistics. Further information, including the full breastfeeding statistics collection, is available via the link below: * [OHID Child and Maternal Health Statistics – Breastfeeding Statistics]
Stillbirth rate - ICP Outcomes Framework - Resident Locality

This dataset presents the rate of stillbirths per 1,000 births, measuring fetal deaths occurring after 24 weeks of gestation across all maternal ages. Stillbirth is one of the most significant adverse outcomes in maternity care, and monitoring this rate at a local level is essential for understanding the quality of antenatal services, identifying inequalities, and targeting interventions to improve pregnancy outcomes. ## Rationale Reducing the stillbirth rate is a key national public health priority. The UK has historically had a higher stillbirth rate compared to other high-income countries, and concerted efforts have been made through national maternity programmes to drive this rate down. Tracking stillbirth rates at a local level helps commissioners and health providers assess progress, identify areas of concern, and ensure that maternity services are delivering safe, equitable care for all mothers and babies. ## Numerator The numerator is the total number of stillbirths — defined as fetal deaths occurring after 24 weeks of gestation — for all maternal ages, occurring within the respective calendar years. ## Denominator The denominator is the total number of live births and stillbirths occurring in the respective calendar years, providing the overall population of births against which the stillbirth rate is calculated. ## Caveats No specific data quality caveats have been noted for this indicator. However, users should be aware that stillbirth counts at local authority level can be small, which may result in rates that fluctuate significantly year on year. Caution should be exercised when interpreting single-year figures, and trend data or aggregated periods should be considered where possible to provide a more stable picture. ## External References Data is sourced from the Office for National Statistics (ONS) Annual Births and Mortality Extracts. The indicator is also available through the OHID Fingertips platform: * [OHID Fingertips – Stillbirth Rate (Indicator 92530)]
Stillbirth rate - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the rate of stillbirths per 1,000 births, measuring fetal deaths occurring after 24 weeks of gestation across all maternal ages. Stillbirth is one of the most significant adverse outcomes in maternity care, and monitoring this rate at a local level is essential for understanding the quality of antenatal services, identifying inequalities, and targeting interventions to improve pregnancy outcomes. ## Rationale Reducing the stillbirth rate is a key national public health priority. The UK has historically had a higher stillbirth rate compared to other high-income countries, and concerted efforts have been made through national maternity programmes to drive this rate down. Tracking stillbirth rates at a local level helps commissioners and health providers assess progress, identify areas of concern, and ensure that maternity services are delivering safe, equitable care for all mothers and babies. ## Numerator The numerator is the total number of stillbirths — defined as fetal deaths occurring after 24 weeks of gestation — for all maternal ages, occurring within the respective calendar years. ## Denominator The denominator is the total number of live births and stillbirths occurring in the respective calendar years, providing the overall population of births against which the stillbirth rate is calculated. ## Caveats No specific data quality caveats have been noted for this indicator. However, users should be aware that stillbirth counts at local authority level can be small, which may result in rates that fluctuate significantly year on year. Caution should be exercised when interpreting single-year figures, and trend data or aggregated periods should be considered where possible to provide a more stable picture. ## External References Data is sourced from the Office for National Statistics (ONS) Annual Births and Mortality Extracts. The indicator is also available through the OHID Fingertips platform: * [OHID Fingertips – Stillbirth Rate (Indicator 92530)]