The Buffering analysis to identify common geographical factors within the vicinity of severe injury related to motor vehicle crash in Malaysia

doi:10.5847/wjem.j.1920-8642.2016.04.007

Abstract

Abstract:

BACKGROUND: The main objective was to identify common geographical buildup within the 100-meter buffer of severely injured based on injury severity score (ISS) among the motor vehicle crash (MVC) victims in Malaysia.
METHODS: This was a prospective cohort study from July 2011 until June 2013 and involved all MVC patients attending emergency departments (ED) of two tertiary centers in a district in Malaysia. A set of digital maps was obtained from the Town Planning Unit of the district Municipal Office (local district map). Vector spaces were spanned over these maps using GIS software (ARCGIS 10.1 licensed to the study center), and data from the identified severe injured cases based on ISS of 16 or more were added. Buffer analysis was performed and included all events occurring within a 100 -meter perimeter around a reference point.
RESULTS: A total of 439 cases were recruited over the ten-month data collection period. Fifty two (11%) of the cases were categorized as severe cased based on ISS scoring of 16 and more. Further buffer analysis looking at the buildup areas within the vicinity of the severely injured locations showed that most of the severe injuries occurred at locations on municipal roads (15, 29%), straight roads (16, 30%) and within villages buildup (suburban) areas (18, 35%).
CONCLUSION: This study has successfully achieved its objective in identifying common geographical factors and buildup areas within the vicinity of severely injured road traffic cases.

Key words: Motor vehicle crash, Emergency department, Injury severity score

Nik Hisamuddin Rahman, Ruslan Rainis, Syed Hatim Noor, Sharifah Mastura Syed Mohamad. The Buffering analysis to identify common geographical factors within the vicinity of severe injury related to motor vehicle crash in Malaysia[J]. World Journal of Emergency Medicine, 2016, 7(4): 278-284.

Figures/Tables 6

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Reasons	Number excluded out of total cases, n (%)
Various degree of data lacking	27 (6.1)
All data missing (general demography, prehospital, clinical & geographical data)	17 (3.8)
Parts of data missing	10 (2.3)
Coordinate missing or location outwith border of maintenance by the Kota Bharu District Council (MPKB)	66 (15)

Injury severiry	Range (min, max)	Mean (SD)	Variance	Skewness (SE)
Systolic BP on arrival	150 (80, 230)	130.06 (18.31)	335.50	1.15	0.12
Respiratory rate on arrival	30 (6, 36)	17.84 (3.83)	14.67	1.151	0.12
Glasgow Coma Scale on arrival	15 (3, 18)	14.55 (1.75)	3.06	-4.73	0.12
Revised Trauma Score	4.91 (2.93, 7.84)	7.70 (0.57)	0.33	-5.46	0.12
Injury Severity Score	74 (1, 75)	8.79 (10.49)	110.13	3.54	0.13
Number of body systems injured	4 (0, 4)	1.19 (0.62)	0.38	1.21	0.11
Number of body parts injured	11 (0, 11)	1.65 (1.07)	1.15	2.33	0.11

Geographical variables	n	Percent
Road lay out
Straight	289	68.6
Curve	12	2.9
4-way junction	26	6.2
T-junction	84	20.0
On the bridge	8	1.9
Others	2	0.5
Presence of shoplots
No shoplots	220	52.1
Shoplots	202	47.9
Presence of school building
No schools in the vicinity	381	90.5
Schools in the vicinity	40	9.5
MVC occurred at traffic light junction
Yes	34	8.0
No	389	92.0
Distant from the nearest junction
More than 100 meters	242	57.6
Less than 100 meters	178	42.4

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