|
Gender and polypharmacy
|
|---|
|
Variable
|
Number of prescribed medicinesa,b
|
p value (p < 0.05)
|
|---|
|
Gender
|
3–15
|
> 15
|
0.013*
|
|
Female
|
44.8%
|
22.8%
|
|
Male
|
26.4%
|
6.0%
|
|
The number of diagnosed clinical problems and type of prescriber contact
|
|---|
|
Variable
|
Number of diagnosed clinical problemsa
|
p value (p < 0.05)
|
|---|
|
Prescriber contact
|
0–4
|
5–8
|
0.013*
|
|
Level 2
|
62.0%
|
12.8%
|
|
Level 3
|
17.2%
|
8.0%
|
|
Polypharmacy and type of prescriber contact
|
|---|
|
Variable
|
Number of prescribed medicinesa
|
p value (p < 0.05)
|
|---|
|
Prescriber Contact
|
3–8
|
9–14
|
> 15
|
0.01*
|
|
Level 2
|
17.6%
|
40.0%
|
17.2
|
|
Level 3
|
2.8%
|
10.8%
|
11.6%
|
|
Polypharmacy and potential drug–drug interactions
|
|---|
|
Variable
|
Number of prescribed medicinesa,b
|
p value (p < 0.05)
|
|---|
|
Number of PDDIsa
|
3–14
|
> 15
|
< 0.05*
|
|
0–20
|
70.0%
|
20.4%
|
|
> 21
|
1.2%
|
8.4%
|
|
Type of prescriber contact and potential drug–drug interactions
|
|---|
|
Variable
|
Number of PDDIsa
|
p value (p < 0.05)
|
|---|
|
Prescriber Contact
|
0–20
|
> 21
|
0.014*
|
|
Level 2
|
69.6%
|
5.2%
|
|
Level 3
|
20.8%
|
4.4%
|
- aFrequency counts in percentages
- bThe number of prescribed medicines was collapsed into two categories, because smaller observations were observed for the categories 3–8 and 9–14 of the number of prescribed medicines when analysed against the number of PDDIs (> 21). This was also to satisfy the assumption of chi-square tests of association which suggests that at least one observation is present in each cell of the table. If not, categories can be collapsed to form meaningful categories [28, 29]
- *Statistically Significant results
