Drug utilization patterns among elderly hospitalized patients on poly-pharmacy in Punjab, Pakistan

Table 6 Factors affecting number of prescribed drugs: multiple linear regression analysis

Variables	Unstandardized Coefficients	Standardized Coefficients	p-value	95.0% Confidence Interval for B
Variables	Std. Error	B	p-value	Lower Bound	Upper Bound
Male	.051	−.091	.039	−.205	−.006
Widowed	.073	−.008	.865	−.157	.132
Divorced	.119	−.130	.002	−.604	−.136
Low income class	.135	.051	.592	−.193	.339
Middle income class	.144	−.034	.716	−.335	.230
Moderate self-reported health	.105	−.075	.397	−.296	.118
Poor self-reported health	.127	−.034	.744	−.292	.208
≥4 clinic visits	.076	.075	.238	−.060	.240
Comorbidity	.051	.144	.001	.068	.267

P-value < .05 was considered statistically significant. Note: Only statistically significant variables in the univariate analysis were entered in the multiple linear regression analysis and are shown in the Table
Model summary: R² = 0.052, p < 0.0005

ISSN: 2052-3211