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Resilience, Ethnicity & Adolescent Mental Health (REACH)
REACH (Resilience, Ethnicity and AdolesCent mental Health) is an ongoing study of adolescent mental health in inner-city London schools.
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The impact of ethnicity and multi-morbidity on C19 hospitalised outcomes
A deeply phenotyped dataset of hospitalised COVID-19 patients in Birmingham; including granular ethnicity and multi-morbidity data confirmed in primary care; physiology, blood biomarkers, treatments, interventions, ITU admissions and outcomes. PIONEE
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Virus Watch
A community cohort study of Covid-19 that contains baseline demographics and clinical information, and includes weekly/monthly follow up data.
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Identification of Medical Admissions suitable for Same Day Emergency Care (SDEC)
Acute patient data (2004 onwards) for patients with unplanned medical admission who receive Same Day Emergency Care. Granular condition, presenting complaint, acuity, ethnicity, multi-morbidity. Serial physiology , blood biomarkers, treatments.
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Public Health Research Database (PHRD)
2011 Census data for England and Wales, linked to Mortality Data, Hospital Episode Statistics (HES) data, and GP Extraction Service (GPES) data for Pandemic Planning and Research Data.
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South East London Community Health Study (SELCoH)
The South East London Community Health (SELCoH) study is an epidemiological cohort study designed to collect accurate and up to date information about the physical and mental health of people living within the local communities of Southwark and Lambe
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Ventilatory strategies, medications and outcomes for patients with COVID
Deeply phenotyped data on COVID-19 hospital patients with multi-morbidities requiring/at risk of requiring ventilatory support: This includes investigations, with serial biomarkers, ITU spells, interventions undertaken and outcomes.
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Growing up in Bradford (BiB)
Growing up in Bradford is a follow up to the initial Born in Bradford cohort study, based in Bradford (UK). This dataset includes survey responses from 12,619 participants on questions covering health, wellbeing and social and environmental factors.
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Clinical response thresholds (acuity) in acutely unwell patients: onset-outcome
Hospital patient acuity scores (2004 onwards). Granular condition, ethnicity, multi-morbidity. Serial physiology, blood biomarkers, treatments, interventions, ITU spells, outcome, pre/post admission healthcare use. Deeply phenotyped, longitudinal. C
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Emergency hospital admissions in patients from care home settings
Longitudinal routine data for 128,000 admissions to hospital as an emergency from a care home; including treatments, interventions, ITU admissions and outcomes. Deeply phenotyped longitudinal data including serial physiology, blood biomarkers.
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OMOP dataset: Hospital COVID patients: severity, acuity, therapies, outcomes
Hospital COVID patients 6.01.2020-20.08.2020). Granular severity, ethnicity, co-morbidity. Serial acuity, physiology, blood biomarkers, treatments, ITU, outcome. Deeply phenotyped, longitudinal. OMOP dataset: Hospital COVID patients: severity, acuit
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Deeply-phenotyped hospital COVID patients: severity, acuity, therapies, outcomes
Hospital COVID patients (6th Jan 2020 onwards). Granular severity, ethnicity, co-morbidity. Serial physiology, blood biomarkers, images, treatments, ITU, outcome, pre/post admission healthcare use. Deeply phenotyped, longitudinal. Waves 1/ 2 PIONEER
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Longitudinal C-reactive protein concentrations in COVID-19: an OMOP dataset
CRP has been identified as a biomarker of importance in COVID. This OMOP dataset features highly granular health data from over 4500 patients with hospitalised COVID-19, including oxygen support and treatments given.
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Synthetic Dataset- Patients at risk of sudden death: hypertrophic cardiomyopathy
Synthetic data replicating 30,000 ethnically diverse hypertrophic cardiomyopathy patients: This includes clinical and biological phenotyping, co-morbidities, investigations (including ECG, ECHO), any procedures undertaken and outcomes.
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A synthetic dataset of 15,000 "patients" with Community Acquired Pneumonia (CAP)
CAP is common, has variable outcomes and a complex management pathway. Hospital-based decision support algorithms would be highly valuable. This is a diverse and realistic synthetic dataset of 15,000 “CAP patients” to facilitate algorithm development
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A granular assessment of the day-to-day variation in emergency presentations
A granular dataset of over 65,000 emergency admissions, with detailed patient flow through hospital detailing day-to-day variation in case mix. Severity, demographics, multi-morbidity, completion of review, interventions, treatments and outcomes.
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Hospitalised patients with diabetic emergencies & acute diabetic health concerns
Granular details of diabetic emergencies and acute admissions associated with diabetes-related health concerns: This includes demographic data with investigations, serial physiology and outcomes. The preceding care journey and outcomes are included.
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Ventilation strategies for patients on intensive care
Mechanical and non-invasive ventilation, tracheostomy. Ventilator settings, tidal volumes and pressures. ECMO, inotropes, other organ support, medications, investigations and serial physiology. The preceding care journey and outcomes Ventilatory stra
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Ventilatory strategies and outcomes for patients with COVID: a dataset in OMOP
Hospital patients admitted during the COVID pandemic requiring/at risk of requiring ventilatory support. Granular condition, multi-morbidity, interventions and treatments. Serial physiology, blood biomarkers, ITU spells, outcome. Deeply phenotyped
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Coagulopathies & arterial/venous thrombosis in COVID patients: an OMOP dataset
Hosp patients admitted during COVID pandemic with coagulopathies including venous thromboembolic events & bleeds. Granular condition, multi-morbidity, interventions & treatments. Serial physiology, blood biomarkers, ITU spells, outcome. Deeply phenot
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The impact of COVID on hospitalised patients with COPD; a dataset in OMOP
Hospital patients admitted during the COVID pandemic with a focus on COPD. Granular condition, multi-morbidity. Serial physiology, blood biomarkers, treatments, interventions, ITU spells, outcome, pre/post admission healthcare use. Deeply phenotyped
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The impact of hospitalised patients with COPD: from admission to outcome
Patients admitted with a COPD related event. Granular care pathways. Multi-morbidity, investigations, interventions and treatments. Serial physiology, blood biomarkers, physiotherapy, outcome. Deeply phenotyped. The impact of hospitalised patients
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Risk and outcomes of coagulopathies in acutely unwell adults
Patients admitted with a bleeding or clotting disorder. Granular care pathways. Multi-morbidity, investigations, interventions and treatments. Serial physiology, blood biomarkers, physiotherapy, outcome. Deeply phenotyped. Risk and outcomes of coag
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UHB 2020 Winter Society of Acute Medicine Benchmarking Audit
Society of Acute Medicine Audit data. Hospital patients admitted during the COVID pandemic. Granular care pathways for reconfigured services. Severity, demographics, multi-morbidity, interventions and treatments, outcomes. Flow through hospital. UHBF
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UHB 2019 Summer Society of Acute Medicine Benchmarking Audit
Society of Acute Medicine Audit data. Hospital patients. Granular care pathways against national guidelines. Severity, demographics, multi-morbidity, completion of review, interventions and treatments, outcomes. Patient flow through hospital. UHBFT B
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The acute presentation of pregnant women to non-maternity Emergency departments
Patients admitted with a pregnancy related event. Granular care pathways. Multi-morbidity, investigations, interventions and treatments. Serial physiology, blood biomarkers, physiotherapy, outcome. Deeply phenotyped. Each year, there are audits to
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Diabetes Study of Northern California
The Diabetes Study of Northern California (DISTANCE) conducts epidemiological and health services research in diabetes among a large, multiethnic cohort of patients in a large, integrated health care delivery system.
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*ReputationScore indicates how established a given datasource is. Find out more.