Polypharmacy Clinical Trial
Official title:
Risk Factors for Polypharmacy in Older Adults in a Primary Care Setting:A Cross Sectional Study
Patients who were 65 years old or older and applied to Melek Hatun family practice center were enrolled in the study. All patients were seen either in our center or in their homes, and informed consents were obtained. Comprehensive Geriatric Assessment (CGA) was performed for each subject. Data were evaluated by PASW 17. The amount of medicines that the patient used everyday (DDC) was dependent variable. Relationships between DDC and other continuous variables were examined by Pearson's correlation. For categorical independent variables, t-tests were performed.
1000 patients who were 65 years old or older and applied to Melek Hatun family practice
center either in person or through a relative between 01 December 2014 and 01 August 2017
were enrolled in the study. All patients were seen either in our center or in their homes,
and informed consents were obtained. Comprehensive Geriatric Assessment (CGA) consisting of
detailed history and examination, drug consumption information, Body Mass Index (BMI), Waist
Circumference (WC), Timed Up & Go test (TUG), Clock Drawing Test (CD), Activities of Daily
Living and Instrumental Activities of Daily Living scales (ADL & IADL), Mini Mental State
Examination (MMSE), Tinetti Gait and Tinetti Balance scores (TG &TB), 30 items Geriatric
Depression Scale (GDS) was performed for each subject[8-16]. Additional tests like blood
examinations or ECG were performed on the basis of necessity. Metabolic Syndrome (MS) was
diagnosed according to WHO criteria [17].
Data were evaluated by PASW 17. The amount of medicines that the patient used everyday (Daily
Drug Consumption-DDC) were dependent variable. Relationships between DDC and other continuous
variables were examined by Pearson's correlation. For categorical independent variables,
t-tests were performed. The variables which were found associated with DDC were controlled
for confounding variables by linear regressions. To avoid collinearity problems, variables
that were strongly interrelated (like CD and MMSE) were not added to the regression model
together. For all analyses, the level of significance was assumed as 0.05.
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