Protocol for the Development and Analysis of the Oxford and Reading Cognitive Comorbidity, Frailty and Ageing Research Database-Electronic Patient Records (ORCHARD-EPR).


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
30 May 2024
Historique:
medline: 31 5 2024
pubmed: 31 5 2024
entrez: 30 5 2024
Statut: epublish

Résumé

Hospital electronic patient records (EPRs) offer the opportunity to exploit large-scale routinely acquired data at relatively low cost and without selection. EPRs provide considerably richer data, and in real-time, than retrospective administrative data sets in which clinical complexity is often poorly captured. With population ageing, a wide range of hospital specialties now manage older people with multimorbidity, frailty and associated poor outcomes. We, therefore, set-up the Oxford and Reading Cognitive Comorbidity, Frailty and Ageing Research Database-Electronic Patient Records (ORCHARD-EPR) to facilitate clinically meaningful research in older hospital patients, including algorithm development, and to aid medical decision-making, implementation of guidelines, and inform policy. ORCHARD-EPR uses routinely acquired individual patient data on all patients aged ≥65 years with unplanned admission or Same Day Emergency Care unit attendance at four acute general hospitals serving a population of >800 000 (Oxfordshire, UK) with planned extension to the neighbouring Berkshire regional hospitals (>1 000 000). Data fields include diagnosis, comorbidities, nursing risk assessments, frailty, observations, illness acuity, laboratory tests and brain scan images. Importantly, ORCHARD-EPR contains the results from mandatory hospital-wide cognitive screening (≥70 years) comprising the 10-point Abbreviated-Mental-Test and dementia and delirium diagnosis (Confusion Assessment Method-CAM). Outcomes include length of stay, delayed transfers of care, discharge destination, readmissions and death. The rich multimodal data are further enhanced by linkage to secondary care electronic mental health records. Selection of appropriate subgroups or linkage to existing cohorts allows disease-specific studies. Over 200 000 patient episodes are included to date with data collection ongoing of which 129 248 are admissions with a length of stay ≥1 day in 64 641 unique patients. ORCHARD-EPR is approved by the South Central Oxford C Research Ethics Committee (ref: 23/SC/0258). Results will be widely disseminated through peer-reviewed publications and presentations at conferences, and regional meetings to improve hospital data quality and clinical services.

Sections du résumé

BACKGROUND BACKGROUND
Hospital electronic patient records (EPRs) offer the opportunity to exploit large-scale routinely acquired data at relatively low cost and without selection. EPRs provide considerably richer data, and in real-time, than retrospective administrative data sets in which clinical complexity is often poorly captured. With population ageing, a wide range of hospital specialties now manage older people with multimorbidity, frailty and associated poor outcomes. We, therefore, set-up the Oxford and Reading Cognitive Comorbidity, Frailty and Ageing Research Database-Electronic Patient Records (ORCHARD-EPR) to facilitate clinically meaningful research in older hospital patients, including algorithm development, and to aid medical decision-making, implementation of guidelines, and inform policy.
METHODS AND ANALYSIS METHODS
ORCHARD-EPR uses routinely acquired individual patient data on all patients aged ≥65 years with unplanned admission or Same Day Emergency Care unit attendance at four acute general hospitals serving a population of >800 000 (Oxfordshire, UK) with planned extension to the neighbouring Berkshire regional hospitals (>1 000 000). Data fields include diagnosis, comorbidities, nursing risk assessments, frailty, observations, illness acuity, laboratory tests and brain scan images. Importantly, ORCHARD-EPR contains the results from mandatory hospital-wide cognitive screening (≥70 years) comprising the 10-point Abbreviated-Mental-Test and dementia and delirium diagnosis (Confusion Assessment Method-CAM). Outcomes include length of stay, delayed transfers of care, discharge destination, readmissions and death. The rich multimodal data are further enhanced by linkage to secondary care electronic mental health records. Selection of appropriate subgroups or linkage to existing cohorts allows disease-specific studies. Over 200 000 patient episodes are included to date with data collection ongoing of which 129 248 are admissions with a length of stay ≥1 day in 64 641 unique patients.
ETHICS AND DISSEMINATION BACKGROUND
ORCHARD-EPR is approved by the South Central Oxford C Research Ethics Committee (ref: 23/SC/0258). Results will be widely disseminated through peer-reviewed publications and presentations at conferences, and regional meetings to improve hospital data quality and clinical services.

Identifiants

pubmed: 38816052
pii: bmjopen-2024-085126
doi: 10.1136/bmjopen-2024-085126
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e085126

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Emily Boucher (E)

Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

Aimee Jell (A)

Informatics Department, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

Sudhir Singh (S)

Department of Acute General (Internal) Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Department of Geratology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

Jim Davies (J)

Department of Computer Science, University of Oxford, Oxford, UK.

Tanya Smith (T)

Research Informatics Team, Research and Development Department, Oxford Health NHS Foundation Trust, Oxford, UK.
NIHR Oxford Health Biomedical Research Centre, Oxford, UK.

Adam Pill (A)

Research Informatics Team, Research and Development Department, Oxford Health NHS Foundation Trust, Oxford, UK.

Kinga Varnai (K)

Research and Development Clinical Informatics, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

Kerrie Woods (K)

Research and Development Clinical Informatics, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

David Walliker (D)

Research and Development Clinical Informatics, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

Aubretia McColl (A)

Department of Acute Medicine, Royal Berkshire NHS Foundation Trust, Reading, UK.
Department of Elderly Care Medicine, Royal Berkshire NHS Hospital Foundation Trust, Reading, UK.

Sasha Shepperd (S)

Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Sarah Pendlebury (S)

Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK sarah.pendlebury@ndcn.ox.ac.uk.
Department of Acute General (Internal) Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Department of Geratology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

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