Analysis of Stress Backlogs during Case-File Processing in Forensic Science Laboratory

HTML  XML Download Download as PDF (Size: 3295KB)  PP. 1060-1096  
DOI: 10.4236/eng.2017.912063    1,270 Downloads   4,215 Views  Citations

ABSTRACT

Case-file backlogs were identified as one of the cause factors affecting the competitiveness of the forensic science laboratory (FSL). Backlogs represent case-files that remain unprocessed or unreported within a selected time interval (year, week or month) which leads to increased customer complaints, rework, cost of analysis, degradation of biological samples, etc. Case-file backlogging was quantified in three consecutive years (2014 to 2016), using the following parameters: case-files received and case-files processed, difference of which gives case-files backlogged. There was a need to define time interval for a case-file to be regarded as backlogged (that is, one week), results of which can translate into backlogged case-files per month or year. A data collection tool was established and used for three work stations (forensic chemistry, biology/DNA and toxicology laboratories). The tool includes starting and ending date for each time interval, in which the numbers of case-files received and processed were entered followed by computing the backlogs. It was observed that, case-files reported increased between 2014 and 2016 leading to a decrease in backlogged case-files. The annual percentage of the case-files backlogged was highest for forensic toxicology. The highest number of case-files backlogged was observed for forensic chemistry, followed by forensic biology/DNA. The number of case-files backlogged per analyst per year was highest in 2014 and dropped continuously towards 2016, being comparably higher in forensic biology/DNA and chemistry. Probability density functions (PDFs) and cumulative distribution functions (CDFs) of backlogs data indicated that a large number of backlogs created in previous weeks were eliminated. It was concluded that the effect of case-file backlogging on FSL competitiveness can be minimized by continued management effort in backlog elimination.

Share and Cite:

Omari, G. , Manyele, S. and Mwaluko, G. (2017) Analysis of Stress Backlogs during Case-File Processing in Forensic Science Laboratory. Engineering, 9, 1060-1096. doi: 10.4236/eng.2017.912063.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.