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Table 5 Multiple regression analyses of health facility characteristics with the service readiness index

From: Health system’s readiness to provide cardiovascular, diabetes and chronic respiratory disease related services in Nepal: analysis using 2015 health facility survey

 

CVDsa

Diabetesa

CRDsa

Adjusted β (95%CI)

p-value

Adjusted β (95%CI)

p-value

Adjusted β (95%CI)

p-value

Province

 Province 1

ref

 

ref

 

ref

 

 Province 2

0.83 (0.73–0.95)

0.01

0.94 (0.53–1.66)

0.89

1.18 (0.87–1.59)

0.18

 Province 3

1.05 (0.92–1.19)

0.46

1.38 (0.86–2.23)

0.33

1.29 (0.78–2.12)

0.28

 Province 4

1.24 (1.07–1.43)

0.00

1.98 (1.08–3.61)

0.88

1.36 (0.77–2.42)

0.32

 Province 5

1.17 (1.02–1.34)

0.02

1.21 (0.73–2.01)

0.22

1.36 (0.77–2.42)

0.29

 Province 6

0.01 (0.85–1.21)

0.87

1.15 (0.58–2.29)

0.83

0.73 (0.36–1.48)

0.38

 Province 7

0.06 (0.91–1.24)

0.47

1.34 (0.73–2.45)

0.33

1.25 (0.50–3.13)

0.63

Health facility type

 Public facilities

ref

 

ref

 

ref

 

 Private facilities

2.87 (2.42–3.39)

0.00

3.02 (2.03–4.49)

0.00

15.95 (4.61–55.13)

0.00

Ecological region

 Mountains

1.88 (0.78–0.99)

0.68

1.19 (−0.14–0.9)

0.49

1.07 (0.89–1.30)

0.47

 Hills

1.99 (0.91–1.11)

0.03

1.15 (0.78–1.707)

0.46

1.13 (0.97–1.32)

0.11

 Terai

ref

 

ref

 

ref

 

Urbanization

 Metropolitan

0.99 (0.80–1.22)

0.92

1.59 (0.89–2.85)

0.12

0.80 (0.59–1.09)

0.16

 Urban Municipality

1.13 (1.04–1.23)

0.01

1.78 (1.23–2.59)

0.00

1.02 (0.90–1.16)

0.76

 Rural Municipality

ref

 

ref

 

ref

 
  1. adependent variable were log-transformed before analysis
  2. βregression coefficient was calculated based on the antilog of unstandardized regression coefficient. β of ≥1 denotes favourable changes in readiness index while assessing the relationship with the predictor variable. The model is adjusted for health facility types, ecological region and urbanization
  3. CIconfidence interval (unstandardized regression coefficient)