Literature DB >> 10160458

An analysis of demand for first-aid care at a major public event.

A Flabouris1, F Bridgewater.   

Abstract

INTRODUCTION: First aid is the initial care of the ill or injured. It aims to preserve and protect life, prevent further injury or deterioration of illness, and help promote recovery. At major public events, there is a large gathering of people, physical spectacles, and equipment within a concentrated area, where organized first-aid care is provided.
OBJECTIVE: To analyze the demand for primary medical care at a public event by identifying the patients and initial symptoms that may predict that demand, and to use such information to improve the efficiency and delivery of medical care.
METHODS: A questionnaire was completed by St. John Operations Branch personnel after each patient consultation and a retrospective analysis of the data was conducted.
RESULTS: A total of 1,276 questionnaires were returned. Mean patient presentation rate (PPR) was 1.9 +/- 0.47 per 1,000 show attendees. This correlated best with the maximum daily temperature (r = 0.715, p <0.02) and show day (r = 0.615, p <0.05). There was poor correlation with daily attendance (r = -0.235, p >0.54). Mean presentation time was 15:13 h. Of those whose gender was recorded, 58.4% were females, and 41.6% were males. The most frequent age group was 13 to 20 years. The nature and number of initial symptoms are listed. Basic first-aid skills were used for 96.7% of symptoms; 2.4% of patients were referred to the hospital.
CONCLUSIONS: Temperature and show day significantly contributed to variability of PPR. These factors, together with an estimated PPR and predicted attendance, can be used to forecast demand. Most cases required only basic first-aid skills. Guidelines are suggested for management by nonmedical personnel. A medical officer's role is not reliably defined, but involvement in consultation is suggested.

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Year:  1996        PMID: 10160458     DOI: 10.1017/s1049023x00042345

Source DB:  PubMed          Journal:  Prehosp Disaster Med        ISSN: 1049-023X            Impact factor:   2.040


  2 in total

1.  Predicting medical usage rate at mass gathering events in Belgium: development and validation of a nonlinear multivariable regression model.

Authors:  Hans Scheers; Hans Van Remoortel; Karen Lauwers; Johan Gillebeert; Stijn Stroobants; Pascal Vranckx; Emmy De Buck; Philippe Vandekerckhove
Journal:  BMC Public Health       Date:  2022-01-25       Impact factor: 3.295

2.  Weather and environmental hazards at mass gatherings.

Authors:  Lee Soomaroo; Virginia Murray
Journal:  PLoS Curr       Date:  2012-07-31
  2 in total

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