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, Vol.43(11), pp.2403-2408
11/2015
DOI: 10.1097/CCM.0000000000001274
PMID: 26308434
Abstract
In 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.
A multidisciplinary panel of clinicians, public health professionals, and researchers with expertise in public health emergencies.
Group consensus process.
The 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.
The 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).
The 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.
Details
- Title: Subtitle
- 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 - 1Division of Pulmonary, Allergy, Sleep, and Critical Care Medicine, Department of Medicine, Emory University, Atlanta, GA. 2Division of Trauma Critical Care, R. Adams Cowley Shock Trauma Center, School of Medicine, University of Maryland, Baltimore, MD. 3Department of Anesthesiology, Emory University, Atlanta, GA. 4Department of Emergency Medicine, Emory University, Atlanta, GA. 5Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA. 6Department of Emergency Medicine, College of Medicine, University of Arizona, Tucson, AZ. 7Department of Anesthesiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA. 8Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MALewis RubinsonJames BlumAlexander IsakovStatish BhagwanjeeCharles B CairnsJ Perren CobbJonathan E Sevransky
- Resource Type
- Journal article
- Publication Details
- Critical care medicine, Vol.43(11), pp.2403-2408
- Publisher
- United States
- DOI
- 10.1097/CCM.0000000000001274
- PMID
- 26308434
- ISSN
- 0090-3493
- eISSN
- 1530-0293
- Grant note
- HHSO 100201100062P / PHS HHS
- Language
- English
- Date published
- 11/2015
- Academic Unit
- Anesthesia
- Record Identifier
- 9984013276402771
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