Resource utilization pattern and cost of tuberculosis treatment from the provider and patient perspectives in the state of Penang, Malaysia

Table 8 Final provider and patient sector cost driving factors: multiple linear regression analysis with log-transformed costs

Independent variables	B	*S.E*	p-value
Provider sector*
Indian ethnicity	.114	0.032	.071
High-grade sputum	.122	0.021	.057
Lung cavities	.099	0.020	.126
Twice-weekly dose	-.267	0.022	<.0005
Prolonged treatment duration	.207	0.022	.002
Patient sector ^†
Age^‡	-.084	0.002	.219
Widow/divorced	-.001	0.070	.994
University education	.029	0.074	.685
Unemployment	-.195	0.055	.003
Household income^‡	.515	0.001	<.0005
Persistent cough at the end of intensive phase	.178	0.048	.004

^*Model summary: R² = .286, p <.0005; ^†Model summary: R² = .419, p <.0005; ^‡Denotes continuous variable.
Note: Only statistically significant variables in univariate analysis were entered in multiple linear regression analysis and are shown in the table.

ISSN: 1472-6963