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Does Self-reporting Facilitate History Taking in Food Poisoning Mass-casualty Incidents?

Published online by Cambridge University Press:  28 July 2014

Ya-I Hsu  and
Ying C. Huang
Ya-I Hsu
Affiliation:
Department of Emergency Medicine, Chiayi Christian Hospital, Chiayi City, Taiwan
Ying C. Huang*
Affiliation:
Department of Emergency Medicine, Chiayi Christian Hospital, Chiayi City, Taiwan Department of Emergency Medicine, Medical Center & School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
*
Correspondence: Ying C. Huang, MD, MS Department of Emergency Medicine Chiayi Christian Hospital 539 Chuan-Hsiau Road Chiayi City 60002, Taiwan E-mail [email protected]
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Abstract

Introduction

Medical history is an important contributor to diagnosis and patient management. In mass-casualty incidents (MCIs), health care providers are often overwhelmed by large numbers of casualties. An efficient, reliable, and affordable method of information collection is essential for effective health care response.

Hypothesis/Problem

In some MCIs, self-reporting of symptoms can decrease the time required for history taking, without sacrificing the completeness of triage information.

Methods

Two resident doctors and a number of seventh graders who had previous experience of abdominal discomfort were invited to join this study. A questionnaire was developed to collect information on common symptoms in food poisoning. Each question was scored, and enrolled students were randomly divided into two groups. The experimental group students answered the questionnaire first and then were interviewed to complete the medical history. The control group students were interviewed in the traditional way to collect medical history. Time of all interviews was measured and recorded. The time needed to complete the history taking and completeness of obtained information were compared with students’ t tests, or Mann-Whitney U tests, based on the normality of data. Comprehensibility of each question, scored by enrolled students, was reported by descriptive statistics.

Results

There were 41 students enrolled: 22 in the experimental group and 19 in the control group. Time to complete history taking in the experimental group (163.0 seconds, SD=52.3) was shorter than that in the control group (198.7 seconds, SD=40.9) (P=.010). There was no difference in the completeness of history obtained between the experimental group and the control group (94.8%, SD=5.0 vs 94.2%, SD=6.1; P=.747). Between the two doctors, no significant difference was found in the time required for history taking (185.2 seconds, SD=42.2 vs 173.1 seconds, SD=58.6; P=.449), or the completeness of information (94.1%, SD=5.9 vs 95.0%, SD=5.0; P=.601). Most of the questions were scored “good” in comprehensibility.

Conclusion

Self-reporting of symptoms can shorten the time of history taking during a food poisoning mass-casualty event without sacrificing the completeness of information.

HsuY , HuangYC . Does Self-reporting Facilitate History Taking in Food Poisoning Mass-casualty Incidents?Prehosp Disaster Med. 2014;29(4):1-4.

Keywords

mass-casualty incidentmedical history takingself-reporting
Type
Brief Report
Information
Prehospital and Disaster Medicine , Volume 29 , Issue 4 , August 2014 , pp. 417 - 420
Copyright
Copyright © World Association for Disaster and Emergency Medicine 2014 

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References

1. Hampton, JR, Harrison, MJ, Mitchell, JR, Prichard, JS, Seymour, C. Relative contributions of history-taking, physical examination, and laboratory investigation to diagnosis and management of medical outpatients. Br Med J. 1975;2(5969):486-489.CrossRefGoogle ScholarPubMed
2. Peterson, MC, Holbrook, JH, Von Hales, D, Smith, NL, Staker, LV. Contributions of the history, physical examination, and laboratory investigation in making medical diagnoses. West J Med. 1992;156(2):163-165.Google ScholarPubMed
3. Teich, JM, Wagner, MM, Mackenzie, CF, Schafer, KO. The informatics response in disaster, terrorism, and war. J Am Med Inform Assoc. 2002;9(2):97-104.CrossRefGoogle ScholarPubMed
4. Chan, TC, Killeen, J, Griswold, W, Lenert, L. Information technology and emergency medical care during disasters. Acad Emerg Med. 2004;11(11):1229-1236.CrossRefGoogle ScholarPubMed
5. Thieren, M. Health information systems in humanitarian emergencies. Bull World Health Organ. 2005;83(8):584-589.Google ScholarPubMed
6. Choi, E. Disaster relief informatics: access to KatrinaHealth.org prescription data via OQO ultra mobile PC and cellular wireless connectivity. AMIA Annu Symp Proc. 2006;888; Washington DC, USA.Google Scholar
7. Lurie, N. H1N1 influenza, public health preparedness, and health care reform. N Engl J Med. 2009;361(9):843-845.CrossRefGoogle ScholarPubMed
8. Kimura, M, Yamamoto, R, Oku, S. Interim report of healthcare delivery after east Japan earthquake-tsunami disaster–does EHR help? Methods Inf Med. 2011;50(5):393-396.Google ScholarPubMed
9. Harrison, JP, Harrison, RA, Smith, M. Role of information technology in disaster medical response. Health Care Manag. 2008;27(4):307-313.CrossRefGoogle ScholarPubMed
10. Weiner, EE, Trangenstein, PA. Informatics solutions for emergency planning and response. Stud Health Technol Inform. 2007;129(Pt 2):1164-1168.Google ScholarPubMed
11. Fuse, A, Okumura, T, Hagiwara, J, et al. New information technology tools for a medical command system for mass decontamination. Prehosp Disaster Med. 2013;28(3):298-300.CrossRefGoogle ScholarPubMed
12. Prgomet, M, Georgiou, A, Westbrook, JI. The impact of mobile handheld technology on hospital physicians’ work practices and patient care: a systematic review. J Am Med Inform Assoc. 2009;16(6):792-801.CrossRefGoogle ScholarPubMed
13. El-Masri, S, Saddik, B. Proposal of an end-to-end emergency medical system. Stud Health Technol Inform. 2011;169:349-353.Google ScholarPubMed
14. Caillouet, LP, Paul, PJ, Sabatier, SM, Caillouet, KA. Eye of the storm: analysis of shelter treatment records of evacuees to Acadiana from Hurricanes Katrina and Rita. Am J Disaster Med. 2012;7(4):253-571.CrossRefGoogle ScholarPubMed
15. Tang, PC, Committee, APP. AMIA advocates national health information system in fight against national health threats. J Am Med Inform Assoc. 2002;9(2):123-124.CrossRefGoogle ScholarPubMed
16. Shapiro, JS, Mostashari, F, Hripcsak, G, Soulakis, N, Kuperman, G. Using health information exchange to improve public health. Am J Public Health. 2011;101(4):616-623.CrossRefGoogle ScholarPubMed
17. McIlwain, JS, Lassetter, K. HIE: decision support. Building sustainable HIEs. In the aftermath of Hurricane Katrina, the need for a true health information exchange in Mississippi cannot be denied. Health Manag Technol. 2009;30(2):8-11.Google ScholarPubMed
18. Whittenburg, L. Use of metadata registry for nursing: a customer-centered electronic health record. Stud Health Technol Inform. 2006;122:854.Google Scholar
19. Lindberg, DA, Humphreys, BL. Rising expectations: access to biomedical information. Yearb Med Inform. 2008:165-172.Google ScholarPubMed
20. Case, T, Morrison, C, Vuylsteke, A. The clinical application of mobile technology to disaster medicine. Prehosp Disaster Med. 2012;27(5):473-480.CrossRefGoogle ScholarPubMed