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Table 2 Binary logistic regression analysis of the factors associated with low healthcare utilization among adults in Ghana

From: Economic and social determinants of health care utilization during the first wave of COVID-19 pandemic among adults in Ghana: a population-based cross-sectional study

Variables

β

SE

COR (95%CI), p-value

β

SE

AOR (95%CI), p-value

Social Determinants

      

Lost or reduced wages

      

No

  

Ref.

  

Ref.

Yes

2.50

0.37

12.18 (5.95–24.95), < 0.001

2.01

0.46

7.44 (3.05–18.16), < 0.001

Investment/retirement loss

      

No

  

Ref.

  

Ref.

Yes

2.97

0.61

19.59 (5.87–65.35), < 0.001

2.37

0.72

10.69**(2.60-43.88), 0.001

Travel-related cancellation

      

No

  

Ref.

  

Ref.

Yes

2.23

0.46

9.27 (3.76–22.88), < 0.001

0.91

0.56

2.49 (0.82–7.49), 0.106

Economic determinants

      

Worry about food runouts

      

No

  

Ref.

  

Ref.

Yes

3.02

0.29

20.49 (11.71–35.85), < 0.001

1.92

0.52

6.85*** (2.49–18.84), < 0.001

Loss of source of financial support

      

No

  

Ref.

  

Ref.

Yes

3.35

0.30

28.47 (15.92–50.93), < 0.001

2.26

0.52

9.58*** (3.44–26.73), < 0.001

Difficulty paying for basic needs

      

No

  

Ref.

  

Ref.

Yes

2.13

0.27

8.39 (4.89–14.39), < 0.001

-1.65

0.64

0.19* (0.06–0.67), 0.010

Spending more time taking care of partners

      

No

  

Ref.

  

Ref.

Yes

2.76

0.30

15.79 (8.73–28.57), < 0.001

0.64

0.44

1.89 (0.79–4.50), 0.151

  1. Footnote: Observations = 364, Probability chil2 = 0.0000, Pseudo R2 = 0.5017. *p < 0.05, **p < 0.01, ***p < 0.001; β = Coefficient; SE = Standard error;