Table A1.
Association between baseline characteristics and catastrophic cost incurrence.
| Baseline Characteristic | Catastrophic Cost Incurrence, N (%) | Crude OR * (95% CI) |
Adjusted OR ** (95% CI) |
|---|---|---|---|
| Case finding model | |||
| PCF | 55/105 (52.4%) | 1.00 | 1.00 |
| ACF | 57/107 (53.3%) | 0.96 (0.56–1.65) | 0.93 (0.52–1.69) |
| Sex | |||
| Men | 89/172 (51.7%) | 1.00 | 1.00 |
| Women | 23/40 (57.5%) | 1.26 (0.63–2.53) | 1.27 (0.62–2.57) |
| Age category | |||
| ≤50 years | 38/73 (52.1%) | 1.00 | 1.00 |
| >50 years | 74/139 (53.2%) | 1.05 (0.59–1.85) | 1.10 (0.56–2.00) |
| Education level | |||
| Up to primary education | 55/92 (59.8%) | 1.00 | 1.00 |
| Secondary school or above | 57/120 (47.5%) | 0.61 (0.35–1.05) | 0.60 (0.34–1.07) |
| Employment status | |||
| Unemployed | 102/191 (53.4%) | 1.00 | 1.00 |
| Employed | 10/21 (47.6%) | 1.26 (0.51–3.11) | 1.41 (0.56–3.56) |
| Social Health Insurance status | |||
| Uninsured | 21/36 (58.3%) | 1.00 | 1.00 |
| Insured | 91/176 (51.7%) | 0.76 (0.37–1.58) | 0.84 (0.39–1.78) |
* Univariate logistic regression; ** multivariate logistic regression incorporating all shown patient covariates as exposure parameters for the model; CI = confidence interval.