Table 3. Binary logistic regression model for prescription of malaria prophylaxis drug among travelers with high infection risk.
Selection variable | Non-MPM group (n = 85)a |
MPM group (n = 402) |
Univariate | Multivariate | ||||
---|---|---|---|---|---|---|---|---|
OR | 95% CI | P-valueb | OR | 95% CI | P-valuea | |||
Sex | ||||||||
Female | 41 (24.0) | 130 (76.0) | 1 (Ref.) | - | - | 1 (Ref.) | - | - |
Male | 44 (13.9) | 272 (86.1) | 1.950 | 1.214-3.132 | 0.006 | 1.115 | 0.528-2.353 | 0.775 |
Age, year | ||||||||
≤40 | 67 (22.6) | 230 (77.4) | 1 (Ref.) | - | - | 1 (Ref.) | - | - |
41-55 | 16 (11.3) | 126 (88.7) | 2.294 | 1.275-4.126 | 0.006 | 1.889 | 0.770-4.634 | 0.165 |
≥56 | 2 (4.2) | 46 (95.8) | 6.700 | 1.585-28.325 | 0.010 | 8.923 | 1.093-72.844 | 0.041 |
Travel duration, day | ||||||||
≤10 | 19 (8.3) | 209 (91.7) | 1 (Ref.) | - | - | 1 (Ref.) | - | - |
≥11 | 46 (24.0) | 146 (76.0) | 0.289 | 0.162-0.513 | <0.001 | 0.407 | 0.198-0.873 | 0.015 |
Destination | ||||||||
Other continentsc | 68 (19.9) | 273 (80.1) | 1(Ref.) | - | - | 1 (Ref.) | - | - |
Middle Africa | 17 (11.6) | 129 (88.4) | 1.890 | 1.068-3.346 | 0.029 | 1.309 | 0.512-3.347 | 0.575 |
Purposed | ||||||||
Leisure | 12 (18.5) | 53 (81.5) | 1 (Ref.) | - | - | 1 (Ref.) | - | - |
Business/professional activity | 17 (5.7) | 280 (94.3) | 3.729 | 1.684-8.259 | 0.001 | 2.516 | 0.944-6.707 | 0.065 |
Providing service | 42 (58.3) | 30 (41.7) | 0.162 | 0.074-0.354 | <0.001 | 0.136 | 0.051-0.365 | <0.001 |
MPM, malaria prophylaxis medication; OR, odds ratio; CI, confidence interval.
aValue is number of cases and those in parenthesis represent % unless otherwise identified.
bP-values of the Hosmer-Lemeshow test statistics is 0.352. Therefore, this logistics model is well fit for the data.
cThis includes Western Africa (n = 217), East Africa (n = 111), and etc. group (n = 4).
dLeisure, Business/professional activity, and Providing service represent tourism/visiting friends·relatives, business/large activity·event/research·education, and providing non-medical service/providing medical service/missionary, respectively. 53 cases were excluded because travel purpose information was not available or uncategorizable.