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Table 5 Predictors of annual direct medical costs for patients with ischaemic and haemorrhagic stroke attending two major hospitals in Cameroon, 2013–2017

From: Estimation and determinants of direct medical costs of ischaemic heart disease, stroke and hypertensive heart disease: evidence from two major hospitals in Cameroon

Ischaemic stroke

Variable

Univariate models

β (95% CI)

Model 1

β (95% CI)

Model 2

β (95% CI)

Age, per year increase

0.008 (0.002, 0.014)*

0.007 (0.001, 0.014)*

0.003 (−0.002, 0.008)

Sex (Reference: Female)

Male

−0.124 (− 0.283, 0.034)

−0.095 (− 0.254, 0.064)

−0.077 (− 0.201, 0.048)

History of hypertension (Reference: No)

Yes

−0.142 (− 0.332, 0.048)

−0.175 (− 0.364, 0.014)

−0.143 (− 0.295, 0.009)

History of diabetes (Reference: No)

Yes

0.203 (0.033, 0.373)*

0.209 (0.040, 0.378)*

0.188 (0.052, 0.324)*

History of atrial fibrillation (Reference: No)

Yes

0.096 (−0.136, 0.328)

0.052 (−0.179, 0.284)

− 0.074 (− 0.256, 0.109)

History of CVD event (Reference: No)

Yes

0.048 (−0.126, 0.222)

0.026 (− 0.149, 0.202)

0.023 (− 0.113, 0.160)

Intercept

  

12.128 (11.775, 12.481)**

Haemorrhagic stroke

Variable

Univariate models

β (95% CI)

Model 1

β (95% CI)

Model 2

β (95% CI)

Age, per year increase

−0.004 (−0.012, 0.005)

−0.003 (− 0.012, 0.006)

0.001 (− 0.006, 0.009)

Sex (Reference: Female)

Male

0.088 (−0.130, 0.305)

0.070 (− 0.154, 0.293)

0.042 (− 0.155, 0.238)

History of hypertension (Reference: No)

Yes

0.315 (0.057, 0.687)*

0.316 (0.059, 0.692)*

−0.230 (− 0.560, 0.100)

History of diabetes (Reference: No)

Yes

0.227 (−0.023, 0.477)

0.249 (−0.004, 0.502)

0.140 (− 0.088, 0.368)

History of atrial fibrillation (Reference: No)

Yes

0.201 (−0.425, 0.828)

0.216 (−0.419, 0.851)

− 0.062 (− 0.647, 0.523)

History of CVD event (Reference: No)

Yes

−0.063 (− 0.318, 0.192)

−0.070 (− 0.326, 0.187)

0.098 (− 0.138, 0.333)

Intercept

  

12.575 (11.935, 13.214)**

  1. Parameter estimates from Generalized Linear models with gamma distribution and Log-link function. Model 1: Univariate models + adjusted for age and sex, Model 2: Multivariate model adjusting for age, sex, hypertension, diabetes, atrial fibrillation & previous CVD event and hospital attended. * < 0.05, ** < 0.01, ** < 0.001