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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