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Table 2 Segmented regression analysis assessing the impact of war and COVID-19 on patient visits at inpatient, outpatient, and emergency departments, ACSH, Tigray, Ethiopia, 2017–2021 (N = 1,064,340)

From: Impact of a double catastrophe, war and COVID-19, on health service utilization of a tertiary care hospital in Tigray: an interrupted time-series study

Service area

Coefficient (95% CI)

SE

t-test

P-value

R2-value

Inpatient

     

Baseline level\(, \beta\)0

1,360.9(1,279.5, 1,442.2)

40.3

33.7

< 0.001

0.84

Baseline trend,\(\beta\)1

3.2(-1.2, 7.5)

2.2

1.5

0.152

Level change after COVID-19, \(\beta\)2

-521.7(-705.5, -337.9)

91.1

-5.7

< 0.001

Trend change after COVID-19,\(\beta\)3

20.9(-24.5, 66.3)

22.5

0.9

0.359

Level change after war, \(\beta\)4

-493.0(-747.3, -238.8)

126.0

-3.9

< 0.001

Trend change after war,\(\beta\)5

22.3(-36.0, 80.7)

28.9

0.8

0.444

Outpatient

 

Baseline level\(, \beta\)0

17,408.9(16,162.5, 18,655.3)

617.6

28.2

< 0.001

0.90

Baseline trend,\(\beta\)1

245.2(178.3, 312.2)

33.2

7.4

< 0.001

Level change after COVID-19, \(\beta\)2

-15,448.5(-18,263.9, -12,633.1)

1,395.1

-11.1

< 0.001

Trend change after COVID-19,\(\beta\)3

142.2(-553.0, 837.4)

344.5

0.4

0.682

Level change after war, \(\beta\)4

-6,631.6 (-10,525.7, -2,737.5)

1,929.6

-3.4

0.001

Trend change after war,\(\beta\)5

1,219.4(326.1, 2,112.8)

442.7

2.7

0.009

Emergency

 

Baseline level\(, \beta\)0

2,380.1(2,142.6, 2,617.6)

117.7

20.2

< 0.001

0.70

Baseline trend,\(\beta\)1

33.3(20.6, 46.1)

6.3

5.3

< 0.001

Level change after COVID-19, \(\beta\)2

-1,534.7(-2,071.3, -998.2)

265.8.0

-5.7

< 0.001

Trend change after COVID-19,\(\beta\)3

44.6(-87.9, 177.1)

65.6

0.7

0.501

Level change after war, \(\beta\)4

-1,120.4(-1,862.5, -378.4)

367.7

-3.0

0.004

Trend change after war,\(\beta\)5

118.8(-51.4, 289.1)

84.4

1.4

0.166

  1. CI: Confidence interval, SE: Standard error