4.4 Article

Creating a Real-World Linked Research Platform for Analyzing the Urgent and Emergency Care System

期刊

MEDICAL DECISION MAKING
卷 42, 期 8, 页码 999-1009

出版社

SAGE PUBLICATIONS INC
DOI: 10.1177/0272989X221098699

关键词

data linkage; emergency care; health data; research-ready data; routine data; routine data analysis; urgent care

资金

  1. National Institute for Health Research, Yorkshire and Humber Applied Research Collaborations

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This article discusses the development of a system-based data platform for researching the characteristics of the Urgent and Emergency Care system in a specific region of the United Kingdom. The platform, called CUREd, includes data on almost 30 million patient contacts and covers a timeframe from 2011 to 2017. The article also describes several analyses conducted using the platform, including triage patterns, avoidable pediatric attendances, and frequent attendance in urgent care.
Background This article describes the development of a system-based data platform for research developed to provide a detailed picture of the characteristics of the Urgent and Emergency Care system in 1 region of the United Kingdom. Data Set Development CUREd is an integrated research data platform that describes the urgent and emergency care system in 1 region of the United Kingdom on almost 30 million patient contacts within the system. We describe regulatory approvals required, data acquisition, cleaning, and linkage. Data Set Analyses The data platform covers 2011 to 2017 for 14 acute National Health Service (NHS) Hospital Trusts, 1 ambulance service, the national telephone advice service (NHS 111), and 19 emergency departments. We describe 3 analyses undertaken: 1) Analyzing triage patterns from the NHS 111 telephone helpline using routine data linked to other urgent care services, we found that the current triage algorithms have high rates of misclassifying calls. 2) Applying an algorithm to consistently identify avoidable attendances for pediatric patients, we identified 21% of pediatric attendances to the emergency department as avoidable. 3) Using complex systems analysis to examine patterns of frequent attendance in urgent care, we found that frequent attendance is stable over time but varies by individual patient. This implies that frequent attendance is more likely to be a function of the system overall. Discussion We describe the processes necessary to produce research-ready data that link care across the components of the urgent and emergency care system. Making the use of routine data commonplace will require partnership between the collectors, owners, and guardians of the data and researchers and technical teams.

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