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. 2023 Jul 20;20(14):6404. doi: 10.3390/ijerph20146404

Table 5.

Backward Regression analysis model outcome.

Part (I) Variables with Positive Coefficients in the Backward Model
Variables Sub-categories Coefficients OR p-value 95% CI
Gender Male 0.11 1.11 <0.001 0.09, 0.13
Years 2019 0.15 1.17 <0.001 0.11, 0.20
2020 0.40 1.50 <0.001 0.35, 0.46
2021 0.56 1.75 <0.001 0.51, 0.61
2022 0.48 1.62 <0.001 0.43, 0.54
Months August 0.21 1.23 <0.001 0.14, 0.28
December 0.26 1.30 <0.001 0.20, 0.32
July 0.12 1.13 <0.001 0.06, 0.17
June 0.08 1.08 <0.001 0.04, 0.12
May 0.08 1.08 <0.001 0.04, 0.12
November 0.31 1.36 <0.001 0.24, 0.38
October 0.21 1.23 <0.001 0.14, 0.28
September 0.31 1.36 <0.001 0.24, 0.38
Nationalities categories Other GCC 0.15 1.16 <0.001 0.08, 0.22
Qatar 0.18 1.19 <0.001 0.13, 0.23
South Asia 0.25 1.28 <0.001 0.20, 0.30
Sub-Saharan Africa 0.24 1.27 <0.001 0.19, 0.30
Chief complaints (Call-taking protocols) Back Pain (Protocol 5) 0.21 1.23 <0.001 0.14, 0.27
Units’ categories Bravo 1.3 3.72 <0.001 1.3, 1.4
Event 0.24 1.27 <0.001 0.14, 0.34
Provisional diagnoses categories Anaphylaxis 1.3 3.61 <0.001 0.86, 1.7
Burns 1.0 2.82 <0.001 0.86, 1.2
Cardiovascular 0.27 1.31 0.002 0.10, 0.44
CMC 0.48 1.62 <0.001 0.32, 0.65
Diabetic Problem 0.93 2.54 <0.001 0.76, 1.1
Epistaxis 0.68 1.98 <0.001 0.48, 0.89
Febrile Illness 0.94 2.57 <0.001 0.79, 1.1
GIGU 0.91 2.49 <0.001 0.76, 1.1
HazMat 0.41 1.51 <0.001 0.19, 0.63
Heat-Related 1.4 3.93 <0.001 1.2, 1.6
Minor Trauma 1.3 3.79 <0.001 1.2, 1.5
Neurological 0.78 2.19 <0.001 0.63, 0.94
Not Recorded 1.9 6.67 <0.001 0.98, 2.8
Pain 0.98 2.66 <0.001 0.83, 1.1
Respiratory 0.80 2.23 <0.001 0.65, 0.96
Shock 2.0 7.56 <0.001 1.6, 2.5
Sick Person 0.75 2.11 0.004 0.24, 1.2
Trauma 1.1 3.14 <0.001 0.98, 1.3
Response time durations T1 (“Pending_Creation”) 3.06 × 10−3 1.00 0.003 0.00, 0.01
Part (II) Regression Analysis Models’ Comparison
Resid. Df Resid. Dev Df DV Cp AIC Pr (>Chi)
Model 1 236,498 249,941 0 −1.71 250,173 250,200 0.63
Model 2 236,501 249,943 0 0 250,173 250,169
Deviance Residuals: Min 1Q Median 3Q Max
Model 1 −1.944 −0.861 −0.5248 1.0219 2.8513
Model 2 −1.945 −0.861 −0.5246 1.0217 2.8508

Model 1 (Full variables model): Decision~Zone + Priority + Gender + Year + Month + AgeCategories + NAT_Categories + ChiefComplaint_CAT + Unit_Categories + P.Diagnosis_CAT + CFS Creation_Pending dispatch_MIN (T1) + Pending _Active dispatch_MIN (T2) + CFS creation_Assigned available_MIN (T3). Model 2 (Backward model): Decision~Zone + Gender + Year + Month + AgeCategories + NAT_Categories +ChiefComplaint_CAT + Unit_Categories + P.Diagnosis_CAT + CFS creation_Assigned available_MIN (T3) + CFS Creation_Pending dispatch_MIN (T1).