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Table 4 Fitted service time distributions of staff

From: Optimizing appointment template and number of staff of an OB/GYN clinic – micro and macro simulation analyses

  

Fitted distribution

KS p value

AD p value

US tech

New Pt

Triangular (10,15,20)

.427

.318

 

Ret Pt

Triangular (10,15,20)

.631

.434

Check-in staff

New Pt

Weibull (5,1.96,700) / 60.0

.685

.677

 

Ret Pt

Beta (5,2.1e + 003,1.96,14.6) / 60.0

.884

.751

Nurse

New Pt

LogLogistic (100,2.92,417) / 60.0

.934

.976

 

Ret Pt

Pearson6 (51,1.32e+003,2.31,9.93)/60.0

.821

.81

Dr. A

New Pt

Pearson6 (73,1.89e + 003,5.12,10.6) / 60.0

.814

.69

 

Ret Pt

Pearson6 (8,1.99e + 003,3.14,9.16) / 60.0

.884

.834

Dr. B

New Pt

Gamma (30,3.02,391) / 60.0

.995

.979

 

Ret Pt

LogLogistic (2,2.57,818) / 60.0

.996

.913

Dr. C

New Pt

Weibull (185,1.71,904) / 60.0

.998

.999

 

Ret Pt

LogLogistic (36,2.85,555) / 60.0

.791

.659

Dr. D

New Pt

Erlang (61,5,188) / 60.0

.941

.777

 

Ret Pt

Gamma (20,2.38,285) / 60.0

.52

.513

Dr. E

New Pt

LogLogistic (121,3.17,741) / 60.0

.967

.944

 

Ret Pt

Pearson6 (22,461,8.31,6.62) / 60.0

.641

.664

Lab tech

New Pt

Pearson6 (1,4.95e + 003,1.57,18.5) / 60.0

.911

.992

 

Ret Pt

Lognormal (9,5.87,.995) / 60.0

.221

.172

Check-out staff

New Pt

Triangular (1,2,3)

.628

.547

 

Ret Pt

Triangular (1,2,3)

.846

.652