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Table 2 Descriptive statistics

From: Using overbooking to manage no-shows in an Italian healthcare center

Variable Total No-Show Show Test statistic
Patient’s intrinsic factors
Gender     20.56 ***
 Male 45.78%(35,152) 45.78 (35152) 46.11%(30,374)  
 Female 54.22%(41,629) 56.23%(6137) 53.89%(35,492)  
Age group     224.26 ***
 0–18 4.26%(3268) 4.56%(498) 4.21%(2770)  
 19–45 35.2%(27,030) 40.35%(4404) 34.35%(22,626)  
 46–64 37.64%(28,901) 36.78%(4014) 37.78%(24,887)  
 65–79 20.31%(15,597) 15.9%(1736) 21.04%(13,861)  
 80+ 2.59%(1985) 2.41%(263) 2.61%(1722)  
Insurance status     10.68 **
 NHS 86.31%(66,270) 87.31%(9530) 86.14%(56,740)  
 Private 13.69%(10,511) 12.69%(1385) 13.86%(9126)  
Rate of previous cancellations 0.21 ± 0.26 0.19 ± 0.25 0.21 ± 0.26 6.22 ***
Rate of previous no-shows 0.04 ± 0.11 0.05 ± 0.13 0.03 ± 0.1 −14.11 ***
Type of patient     443.76 ***
 New patient 37.25%(28,602) 46.28%(5052) 35.75%(23,550)  
 Returned patient 62.75%(48,179) 53.72%(5863) 64.25%(42,316)  
Booking confirmation     1294.47 ***
 Not confirmed 58.61%(45,005) 74.33%(8113) 56.01%(36,892)  
 Confirmed 41.39%(31,776) 25.67%(2802) 43.99%(28,974)  
Type of booking     42.05 ***
 Contact center 99.8%(76,629) 99.54%(10,865) 99.85%(65,764)  
 Web 0.2%(152) 0.46%(50) 0.15%(102)  
Exogenous factors     
Day of the week     44.49 ***
 Monday 15.61%(11,985) 16.76%(1829) 15.42%(10,156)  
 Tuesday 16.82%(12,918) 16.56%(1807) 16.87%(11,111)  
 Wednesday 16.19%(12,432) 15.72%(1716) 16.27%(10,716)  
 Thursday 16.61%(12,751) 16.68%(1821) 16.59%(10,930)  
 Friday 16.53%(12,694) 15.62%(1705) 16.68%(10,989)  
 Saturday 12.22%(9380) 11.64%(1270) 12.31%(8110)  
 Sunday 6.02%(4621) 7.03%(767) 5.85%(3854)  
Month of the year     46.1 ***
 January 9.72%(7466) 9.73%(1062) 9.72%(6404)  
 February 10.34%(7940) 10.93%(1193) 10.24%(6747)  
 March 11.34%(8709) 11.74%(1281) 11.28%(7428)  
 April 9.69%(7437) 9.69%(1058) 9.68%(6379)  
 May 11.23%(8619) 10.43%(1138) 11.36%(7481)  
 June 10.15%(7797) 10.46%(1142) 10.1%(6655)  
 July 9.74%(7478) 9.69%(1058) 9.75%(6420)  
 August 5.58%(4285) 5.34%(583) 5.62%(3702)  
 September 9.47%(7270) 8.84%(965) 9.57%(6305)  
 October 7.12%(5464) 7.95%(868) 6.98%(4596)  
 November 3.55%(2726) 2.99%(326) 3.64%(2400)  
 December 2.07%(1590) 2.21%(241) 2.05%(1349)  
Year     83.09 ***
 2012 28.81%(22,122) 32.24%(3519) 28.24%(18,603)  
 2013 34.55%(26,530) 34.08%(3720) 34.63%(22,810)  
 2014 36.64%(28,129) 33.68%(3676) 37.13%(24,453)  
Time of the day     186.99 ***
 6 AM–8 AM 12.02%(9229) 11.66%(1273) 12.08%(7956)  
 8 AM-1 PM 35.92%(27,582) 31.54%(3443) 36.65%(24,139)  
 1 PM–8 PM 39.46%(30,299) 40.88%(4462) 39.23%(25,837)  
 8 PM-2 AM (+1d) 12.6%(9671) 15.91%(1737) 12.05%(7934)  
Long weekend     0.69
 No 85.64%(65,753) 85.9%(9376) 85.59%(56,377)  
 Yes 14.36%(11,028) 14.1%(1539) 14.41%(9489)  
Weather forecast     0.84
 Clear 63.04%(48,406) 62.69%(6843) 63.1%(41,563)  
 Rain 24.76%(19,014) 25.1%(2740) 24.71%(16,274)  
 Storm 12.19%(9361) 12.2%(1332) 12.19%(8029)  
Text message reminder service     20.54 ***
 Not yet activated 75.29%(57,806) 76.86%(8389) 75.03%(49,417)  
 Activated but not sent 16.04%(12,312) 14.61%(1595) 16.27%(10,717)  
 Sent 8.68%(6663) 8.53%(931) 8.7%(5732)  
Factors associated with the examination
No NHS coverage period     0.002
 No 90.36%(69,379) 90.34%(9861) 90.36%(59,518)  
 Yes 9.64%(7402) 9.66%(1054) 9.64%(6348)  
Contrast agent     31.36 ***
 No 75%(57,583) 77.15%(8421) 74.64%(49,162)  
 Yes 25%(19,198) 22.85%(2494) 25.36%(16,704)  
Price of the examination     6.96 ***
 Insured Patients 0 ± 0 0 ± 0 0 ± 0  
 Other Patients 258.16 ± 117.44 234.99 ± 110.22 261.67 ± 118.11  
Waiting list 7.35 ± 7.72 7.92 ± 9.23 7.25 ± 7.44 −7.13 ***
Time allowed 38.43 ± 22.99 38.25 ± 21.29 38.46 ± 23.26 0.35
  1. Descriptive statistics are reported as percentages and number of observations (in parentheses) for categorical variables, as mean ± SD for continuous variables. The last column reports the t-value or the χ2-value together with the significance symbols