Table 4. Results from BLR modelling of HSB as a function of socioeconomic and demographic variables.
| Research Question | Significant variables | Significant Categories | β (SE) | z-value | P(>|z|) | OR (LL, UL) |
|---|---|---|---|---|---|---|
| R1: Type of healthcare facility: public/private (reference = private) | Gender | Gender (2) | -0.79 (0.35) | -2.24 | 0.02 | 0.45 (0.25, 0.80) |
| Reference = Male | ||||||
| Education level | Education level (2) | 0.95 (0.59) | 1.60 | 0.05 | 2.60 (0.97, 6.97) | |
| Reference = No formal education | ||||||
| Annual income | Annual income (2) | 1.25 (0.45) | 2.74 | 0.00 | 3.51 (1.65, 7.46) | |
| Reference = Upto USD 11,500 | Annual income (5) | -1.43 (0.57) | -2.50 | 0.01 | 0.23 (0.09, 0.60) | |
| Number of children | Number of children (3) | 1.39 (0.55) | 2.49 | 0.01 | 4.05 (1.61, 10.16) | |
| Reference = 0 | Number of children (4) | 1.22 (0.56) | 1.90 | 0.05 | 3.40 (1.34, 8.60) | |
| Employment status | Employment status (2) | 1.15 (0.56) | 2.03 | 0.04 | 3.16 (1.24, 8.03) | |
| Reference = Student | ||||||
| Δ AIC score (removed marital status) | 0.10% | |||||
| R2: Type of healthcare facility with illness conditions of perceived mild severity: public/private) (reference = private) | Intercept | 1.26 (0.48) | 2.63 | 0.00 | 3.47 (1.88, 6.41) | |
| Gender | Gender (2) | -0.69 (0.27) | -2.48 | 0.01 | 0.58 (0.38, 0.89) | |
| Reference = male | ||||||
| Education level | Education level (2) | 0.76 (0.44) | 1.71 | 0.04 | 2.35 (1.16, 4.76) | |
| Reference = No formal education | ||||||
| Annual income | Annual income (4) | -0.83 (0.40) | -2.06 | 0.03 | 0.43 (0.23, 0.79) | |
| Reference = Upto USD 11,500 | Annual income (5) | -0.95 (0.41) | -2.32 | 0.01 | 0.38 (0.20, 0.72) | |
| Δ AIC score (removed marital status) | 0.31% | |||||
| R3: Type of healthcare facility with illness conditions of perceived high severity: public/private (reference = private) | Annual income | Annual income (2) | 0.72 (0.32) | 2.23 | 0.02 | 2.08 (1.22, 3.55) |
| Reference = Upto USD 11,500 | Annual income (5) | -1.09 (0.42) | -2.56 | 0.01 | 0.33 (0.16, 0.68) | |
| Employment status | Employment status (3) | -0.62 (0.38) | -1.63 | 0.01 | 0.50 (0.27, 0.90) | |
| Reference = Student | ||||||
| Number of children | Number of children (3) | 0.92 (0.35) | 2.61 | 0.00 | 3.16 (1.57, 6.37) | |
| Reference = 0 | Number of children (4) | 0.89 (0.42) | 2.12 | 0.03 | 3.05 (1.38, 6.72) | |
| Δ AIC score (removed marital status) | 0.18% | |||||
| R4: Type of healthcare facility: primary care or specialized (reference = specialized) | Education level | Education level (4) | -1.05 (0.37) | -2.81 | 0.00 | 0.34 (0.18, 0.64) |
| Reference = No formal education | Education level (5) | -0.98 (0.45) | -2.18 | 0.02 | 0.37 (0.17, 0.78) | |
| Annual income | Annual income (2) | 0.76 (0.31) | 2.39 | 0.01 | 2.14 (1.27, 3.63) | |
| Reference = Upto USD 11,500 | ||||||
| Employment status | Employment status (3) | -0.78 (0.37) | -2.09 | 0.03 | 0.45 (0.24, 0.84) | |
| Reference = Student | ||||||
| Number of children | Number of children (3) | 0.94 (0.39) | 2.38 | 0.01 | 2.57 (1.34, 4.94) | |
| Reference = 0 | Number of children (4) | 0.81 (0.37) | 2.21 | 0.02 | 2.26 (1.23, 4.16) | |
| Δ AIC score (removed marital status) | 0.21% | |||||
β: Estimated regression coefficients; SE: Standard error; OR: Odds ratio; Lower limit (LL) and upper limit (UL) at 95% CI; Δ AIC: Percentage change in AIC