Journal article
Development of a Core Clinical Dataset to Characterize Serious Illness, Injuries, and Resource Requirements for Acute Medical Responses to Public Health Emergencies
Critical care medicine, v 43(11), pp 2403-2408
Nov 2015
PMID: 26308434
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
OBJECTIVESIn developed countries, public health systems have become adept at rapidly identifying the etiology and impact of public health emergencies. However, within the time course of clinical responses, shortfalls in readily analyzable patient-level data limit capabilities to understand clinical course, predict outcomes, ensure resource availability, and evaluate the effectiveness of diagnostic and therapeutic strategies for seriously ill and injured patients. To be useful in the timeline of a public health emergency, multi-institutional clinical investigation systems must be in place to rapidly collect, analyze, and disseminate detailed clinical information regarding patients across prehospital, emergency department, and acute care hospital settings, including ICUs. As an initial step to near real-time clinical learning during public health emergencies, we sought to develop an "all-hazards" core dataset to characterize serious illness and injuries and the resource requirements for acute medical response across the care continuum.SUBJECTSA multidisciplinary panel of clinicians, public health professionals, and researchers with expertise in public health emergencies.DESIGNGroup consensus process.INTERVENTIONSThe consensus process included regularly scheduled conference calls, electronic communications, and an in-person meeting to generate candidate variables. Candidate variables were then reviewed by the group to meet the competing criteria of utility and feasibility resulting in the core dataset.MEASUREMENTS AND MAIN RESULTSThe 40-member panel generated 215 candidate variables for potential dataset inclusion. The final dataset includes 140 patient-level variables in the domains of demographics and anthropometrics (7), prehospital (11), emergency department (13), diagnosis (8), severity of illness (54), medications and interventions (38), and outcomes (9).CONCLUSIONSThe resulting all-hazard core dataset for seriously ill and injured persons provides a foundation to facilitate rapid collection, analyses, and dissemination of information necessary for clinicians, public health officials, and policymakers to optimize public health emergency response. Further work is needed to validate the effectiveness of the dataset in a variety of emergency settings.
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Details
- Title
- Development of a Core Clinical Dataset to Characterize Serious Illness, Injuries, and Resource Requirements for Acute Medical Responses to Public Health Emergencies
- Creators
- David J Murphy - Emory UniversityLewis Rubinson - University of Maryland, BaltimoreJames Blum - Emory UniversityAlexander Isakov - Emory UniversityStatish Bhagwanjee - University of WashingtonCharles B Cairns - University of ArizonaJ Perren Cobb - Massachusetts General HospitalJonathan E Sevransky - Emory UniversityUS Critical Illness Injury Trials
- Publication Details
- Critical care medicine, v 43(11), pp 2403-2408
- Publisher
- Lippincott
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- College of Medicine
- Web of Science ID
- WOS:000362826200017
- Scopus ID
- 2-s2.0-84944474744
- Other Identifier
- 991021448061204721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Critical Care Medicine