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

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

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