Research Article
Tweedie Model for Predicting Factors Associated with Distance Traveled to Access Inpatient Services in Kenya
Table 3
Exploratory data analysis of the covariates considered in the analysis.
| Variable | Number | Percentage |
| Days admitted | | | 1–5 days | 258 | 57.21 | 6–20 days | 120 | 26.61 | 21 days and above | 73 | 16.19 | Residence | | | Rural | 299 | 66.30 | Urban | 152 | 33.70 | Satisfied | | | Yes | 402 | 89.14 | No | 49 | 10.86 | Wealth quintiles | | | Poorest | 130 | 28.82 | Poor | 111 | 24.61 | Middle | 106 | 23.50 | Rich | 66 | 14.63 | Richest | 38 | 8.43 | Age group | | | 15 and 65 | 140 | 31.04 | 15–24 | 20 | 4.43 | 25–54 | 228 | 50.55 | 55–64 | 63 | 13.97 | Household size group | | | 1–3 members (small) | 179 | 39.69 | 4–6 members (medium) | 186 | 41.24 | 7 + members (large) | 86 | 19.07 | School category | | | Never went to school | 140 | 31.04 | Lower education | 216 | 47.89 | Intermediate education | 89 | 19.73 | Higher education | 6 | 1.33 | Employment category | | | Employed | 307 | 68.07 | Not employed | 144 | 31.93 | Access to health insurance | | | Yes | 58 | 12.86 | No | 393 | 87.14 | Had cash | | | Yes | 148 | 32.82 | No | 303 | 67.18 | Paid category | | | 1–3000 KES (low) | 190 | 42.13 | 3001–10,000 KES (medium) | 137 | 30.38 | Above 10,0001 (high) | 124 | 27.49 | Facility admitted | | | Levels 5 and 6 | 57 | 12.63 | Level 4 | 356 | 78.93 | Level 3 | 38 | 8.42 |
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