Table 3.
Factor |
Male doctors |
Female doctors |
||
---|---|---|---|---|
OR (95% CI) | P -value | OR (95% CI) | P -value | |
Gender |
|
|
|
|
Male |
1.00 |
|
1.00 |
|
Female |
0.77 (0.45–1.30) |
0.33 |
0.67 (0.40–1.14) |
0.14 |
Area in Japan |
|
|
|
|
Region 1 |
1.00 |
|
1.00 |
|
Region 2 |
1.78 (0.99–3.21) |
0.05 |
1.98 (1.10–3.58) |
0.02 |
Region 3 |
1.54 (0.69–3.41) |
0.29 |
1.56 (0.70–3.47) |
0.27 |
Age group (years) |
|
|
|
|
20–34 |
1.00 |
|
1.00 |
|
35–49 |
2.11 (0.55–8.07) |
0.28 |
1.38 (0.40–4.77) |
0.61 |
50–64 |
4.30 (1.24–14.90) |
0.02 |
3.66 (1.22–10.98) |
0.02 |
65+ | 12.77 (3.64–44.76) | <0.01 | 6.91 (2.24–21.33) | <0.01 |
The survey was conducted at five pharmacies in three regions in Japan, namely Ibaraki Prefecture (Region 1; two pharmacies), Niigata Prefecture (Region 2; two pharmacies) and Tokyo (Region 3; one pharmacy).
In this analysis, scrub styles were divided into an “inappropriate” group (= 1) based on Likert scores of 1–2 and into an “appropriate” group (= 0) based on scores of 3–5, with these groups being defined as the dependent variables in binomial logistic regression analysis. The independent variables were gender, age group and region. The reference groups for the individual factors were male gender, age <35 years (younger group) and Region 1.
OR odds ratio, CI confidence interval.