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Does time of the week and month, and seasonal change, influence the number of patients seen in a mature, South African tertiary trauma centre?. Karen Milford Pradeep Navsaria Andrew Nicol Sorin Edu Rajiv Gandhi Trauma Center, Groote Schuur Hospital University of Cape Town SAVI 2013.
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Does time of the week and month, and seasonal change, influence the number of patients seen in a mature, South African tertiary trauma centre? Karen Milford Pradeep Navsaria Andrew Nicol Sorin Edu Rajiv Gandhi Trauma Center, Groote Schuur Hospital University of Cape Town SAVI 2013
‘It’s the last weekend of the month, so it’s going to be a busy one!’ ‘It’s cold and rainy: maybe they’ll stay at home’
Background: Good vs bad weather • ‘Good’ weather • Increase in total trauma • Fewer ‘accidents’ • Increased interpersonal violence: • Sexual assault • Deadly assault • Violent crimes Parsons et al: Emerg Med J. Oct 2011 Friede et al: Minnesota Journal of Medicine; Nov 2009 Nitschke et al: Med J Austr; Dec 2007 • ‘Bad’ weather • Wet Conditions: • Increased total admissions in some studies • Increased ‘accidents’ • Increased Motor Vehicle Accidents Weston-Simons et al: Injury; Jan 2013 Parsons et al: Emerg Med J. Oct 2011 Cashman et al: Iranian Journal of Medical Science; Feb 2011
Background:Weekday vs weekend General increase in all types of trauma on weekend Friedeet al: Minnesota Journal of Medicine; Nov 2009 Lemieux et al: Journal of Forensic Science, May 2008 Sivarajasingam et al: Injury; May 2004 No studies comparing month-end to non-month-end
Aim • How is the patient volume at the Groote Schuur Trauma Unit affected by external factors, namely time of the week, month, and season? • Are different types of trauma affected differently by these variables? • Staffing issues • Preventative interventions
Methods • Study site: Trauma Center, Groote Schuur Hospital • Study design: Retrospective audit • Data obtained from trauma log entries: • January – June 2011 • November 2011 – November 2012
Methods 4 Trauma Categories: • Motor Vehicle Accidents • Interpersonal Violence • Accidents • Miscellaneous
Methods • Weekday vsWeekend • ‘Week’: Monday 8am to Friday 8pm • ‘Weekend’: Friday 8pm to Monday 8am • Mid-Month vsMonth-End • ‘Mid-Month’: Weekend closest to 15th day of month • ‘Month-End’: Weekend closest to last day of month • Summer vsWinter • ‘Summer’: 1 December – 28 February • ‘Winter’: 1 June – 31 August
Methods • Statistical Analysis • Microsoft Excel • Homo- or heteroscedastic t-test (depending on variances) • Statistical significance defined as p = <0.05
Results: Weekday vs weekend Statistically significant increase in patient numbers per shift: • MVAs (2.6 vs 3.7 per shift) p = 0.00000000000027 • Interpersonal violence (biggest increase – 4.7 vs 10.9 per shift) p = 0.0000000000 • Total numbers (13.2 vs 20 per shift) p = 0.0000000000 • Decrease: • Other accidents (5.4 vs 4.9 per shift) p = 0.027
Results:Mid-month vs month-end Slight but statistically significant mid-month weekend vs month-end weekend increase: • Interpersonal violence (10.1 vs 12.3 per shift) p= 0.00063 • Total numbers (19.3 vs 22.7 per shift) p = 0.00056
Results:Summer vs winter Slight increase in summer vs winter: • Total numbers (16.6 vs 14.4 per shift) p = 0.00064 • Most marked in interpersonal violence group (7.7 vs 6 per shift) p = 0.0006
Conclusion At the Groote Schuur Trauma Center: • Weekends are significantly busier than week days • Patient volumes are further increased on summer, month-end weekends • In particular, victims of interpersonal violence will present in greater numbers
Further analysis • Trauma and Soccer • Home versus away games? • Wins versus losses? • Trauma and temperature • Trauma and precipitation
Discussion • Why the big spike in interpersonal violence on the weekends? • Can we put specific interventions in place to curb this spike? • What does this mean for trauma unit staffing?