Table 5.
Multiple logistic regression analysis for the associations of variables with the prescription of PIMs.
Variables | OR* (95% CI) | P value | |
---|---|---|---|
Age** | 65–69 | Ref | |
70–74 | 0.96 (0.94–0.99) | <.001 | |
75–79 | 1.00 (0.98–1.03) | .855 | |
≥80 | 1.04 (1.02–1.07) | <.001 | |
Gender | Female | Ref | <.001 |
Male | 1.27 (1.25–1.29) | ||
Type of insurance*** | Health insurance | Ref | <.001 |
Medical Aid | 1.71 (1.67–1.74) | ||
Chronic disease**** | Hypertension (Yes) | 1.03 (1.01–1.05) | <.001 |
Diabetes Mellitus (Yes) | 1.14 (1.12–1.16) | ||
Heart disease (Yes) | 1.33 (1.31–1.69) | ||
Cerebrovascular disease (Yes) | 1.37 (1.34–1.39) | ||
Neoplasm (Yes) | 1.43 (1.40–1.46) | ||
Liver disease (Yes) | 1.11 (1.09–1.13) | ||
Mental and behavior disorder (Yes) | 5.59 (5.82–6.16) | ||
Respiratory Tuberculosis (Yes) | 1.10 (1.04–1.17) | ||
Nervous Disease (Yes) | 2.63 (2.57–2.70) | ||
Thyroid gland Disease (Yes) | 1.09 (1.07–1.11) | ||
Chronic Renal Disease (Yes) | 1.16 (1.13–1.10) | ||
Arthropathy (Yes) | 0.92 (0.90–0.94) |
The dependent variable was divided into 2 groups: ≥5 PIMs vs <5 PIMs in 1 claim.
As the patients’ age increased during the study period, it was defined as the age at which the last claim data was processed.
The type of insurance was classified as medical aid if patients received medical aid at least once.
*Patients who had been diagnosed with a chronic disease at least once were categorized as those with chronic diseases
PIMs = potentially inappropriate medications.