2010
DOI: 10.5055/ajdm.2010.0034
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Evidence-based point-of-care tests and device designs for disaster preparedness

Abstract: Objectives To define pathogen tests and device specifications needed for emerging point-of-care (POC) technologies used in disasters. Design Surveys included multiple-choice and ranking questions. Multiple-choice questions were analyzed with the χ2 test for goodness-of-fit and the binomial distribution test. Rankings were scored and compared using analysis of variance and Tukey's multiple comparison test. Participants Disaster care experts on the editorial boards of the American Journal of Disaster Medicin… Show more

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Cited by 22 publications
(22 citation statements)
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References 20 publications
(8 reference statements)
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“…17,18 Data analysis and study design go hand in hand, and both should be considered before a CNA is undertaken. Regardless of the model one chooses, it is important to write a clear analysis plan at the beginning of the study to ensure that the interview guide or survey tool being developed will generate the kind of data consistent with planned downstream analysis methods.…”
Section: Discussionmentioning
confidence: 99%
“…17,18 Data analysis and study design go hand in hand, and both should be considered before a CNA is undertaken. Regardless of the model one chooses, it is important to write a clear analysis plan at the beginning of the study to ensure that the interview guide or survey tool being developed will generate the kind of data consistent with planned downstream analysis methods.…”
Section: Discussionmentioning
confidence: 99%
“…Kost, et al 21-23 used surveys targeting disaster medicine experts to determine future point-of-care designs, instrument characteristics, and test clusters for POC tests use in emergency and disaster care with a focus on infectious disease testing. Future surveys need to be extended to point-of-service hematology and coagulation tests.…”
Section: Challenges Of Clia-waivermentioning
confidence: 99%
“…13–15 Clinical needs assessment surveys conducted by the University of California, Davis POC Technologies Center revealed the need for bloodstream and respiratory infection detection in disaster settings—emphasizing the critical need for rapid pathogen detection during crises. 16,17 …”
Section: Establishing a Disaster-emergency-critical Care Continuummentioning
confidence: 99%
“…Escherichia coli , Pseudomonas aeruginosa , and Staphylococcus aureus infections are common following disasters. 16,17 Every hour delay in initiating appropriate antimicrobial therapy in severe sepsis is associated with a 12.7% decrease in survival. 38 Existing hospital pathogen detection technologies such as culture are not suitable for disasters.…”
Section: Value Propositionsmentioning
confidence: 99%