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