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Table 4 Risk of financial hardship after CT utilization

From: Assessing and coping with the financial burden of computed tomography utilization in Limbe, Cameroon: a sequential explanatory mixed-methods study

Variables

Univariate

Multivariate

Odds ratio (95% CI)

P value

Adjusted Odds ratio (95% CI)

P value

Age group (years; N = 344)

 18–24

1.39 (0.42–4.64)

0.589

0.63 (0.10–3.97)

0.624

 25–34

ref

 

ref

 

 35–44

2.47 (1.00–6.08)

0.049

4.22 (1.18–15.11)

0.027

 45–54

2.26 (1.02–5.01)

0.046

3.10 (0.80–10.66)

0.073

 55–64

2.47 (1.00–6.08)

0.049

0.41 (0.09–1.78)

0.234

 > 65

1.17 (0.58–2.34)

0.665

0.07 (0.01–0.48)

0.007

Sex (N = 344)

 Female

1.55 (0.96–2.50)

0.070

1.25 (0.60–2.60)

0.553

 Male

ref

 

ref

 

Marital status (N = 344)

 Married/living in union

ref

 

ref

 

 Single/divorced/widow

1.36 (0.83–2.24)

0.222

2.05 (0.80–5.23)

0.135

Educational level (N = 319)

 ≤ O level

2.42 (1.44–4.06)

0.001

2.07 (0.90–4.76)

0.087

 > O level or equivalent

ref

 

ref

 

Employment status (N = 266)

 Employed (formally, informally, self)

ref

 

ref

 

 Unemployed/Retired

1.05 (0.60–1.86)

0.855

11.75 (2.59–53.18)

0.001

SES (N = 342)

0.20 (0.12–0.34)

< 0.001

0.15 (0.07–0.33)

< 0.001

Health insurance ownership (N = 342)

 Yes

ref

 

ref

 

 No

6.28 (2.73–14.45)

< 0.001

5.56 (1.74–17.76)

0.004

Chronic illnesses (N = 369)

 Yes

1.36 (0.82–2.24)

0.233

2.07 (0.93–4.58)

0.074

 No

ref

 

ref

 
  1. Model R2 = 0.2685; p < 0.001; ref, reference category