Abstract
Raw data files submitted by each participant department were imported into an Excel® workbook file and converted into a standardized record format combining data from the initial screening survey, participant questionnaire, and historical response data into a single spreadsheet. Basic calculations and categorizations were performed and added to the spreadsheet in separate columns.
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Notes
- 1.
The data analysis for portions of this paper was generated using SAS/STAT software, Version 9, of the SAS System for Windows. Copyright © 2003 SAS Institute Inc. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc., Cary, NC, USA.
- 2.
One department with qualifying call-handling and time-documenting methodology was omitted from this data set due to issues with corrupted data formatting in the raw data file supplied by the department. It may be possible to recover this data for future analyses, but it was not practical within the time constraints of this study.
- 3.
It was not known at the time of data collection but, upon inquiry during the analysis phase, it was determined that all of the departments whose data was used in “Combined Set A” also report that they regularly review alarm handling and turnout times against NFPA or similar benchmarks as performance goals.
- 4.
During informal interviews, one engine officer mentioned that his driver typically would reach over to the MDT and signal “en route” while the officer was donning his PPE. Others indicated that they would signal “en route” as soon as they were seated. Such early reports seem especially common in departments where turnout times are regularly reviewed against benchmark standards.
- 5.
One study found that the transmission processing delay introduced in an 800 MHz communications system delayed recording an MDT-generated en route signal by an average of 2 s with some delays ranging as high as 7 s (Office of Strategic Planning and Information Systems of the Greensboro (NC) Fire Department; Guilford Metro 911 Emergency Communications Center 2007).
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© 2010 Fire Protection Research Foundation
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Upson, R., Notarianni, K.A. (2010). Data Analysis. In: Quantitative Evaluation of Fire and EMS Mobilization Times. SpringerBriefs in Fire. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4442-8_5
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DOI: https://doi.org/10.1007/978-1-4614-4442-8_5
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