Table 5.
Score | Mean predictive probability | Sensitivity | Specificity | Number of persons | Number of persons (%) | Cumulative percent number of persons |
---|---|---|---|---|---|---|
13 |
0.574 |
|
|
1 |
0.1 |
100.0 |
12 |
- |
|
|
- |
- |
- |
11 |
0.456 |
|
|
1 |
0.1 |
99.9 |
10 |
0.411 |
0.027 |
0.989 |
13 |
1.1 |
99.8 |
9 |
0.349 |
0.082 |
0.974 |
23 |
2.0 |
98.7 |
8 |
0.301 |
0.122 |
0.956 |
24 |
2.1 |
96.7 |
7 |
0.258 |
0.170 |
0.939 |
25 |
2.2 |
94.6 |
6 |
0.217 |
0.286 |
0.897 |
59 |
5.1 |
92.5 |
5 |
0.182 |
0.374 |
0.841 |
70 |
6.1 |
87.4 |
4 |
0.155 |
0.497 |
0.740 |
120 |
10.4 |
81.3 |
3 |
0.124 |
0.599 |
0.634 |
122 |
10.5 |
71.0 |
2 |
0.102 |
0.857 |
0.342 |
333 |
28.8 |
60.4 |
1 |
0.081 |
0.912 |
0.256 |
94 |
8.1 |
31.6 |
0 | 0.066 | | | 272 | 23.5 | 23.5 |
The score is the outcome of the risk score formula:
Risk score = 2 x prescription drug + 2 x nulliparity + 4 x comorbidity + 2 x BMI + number of visits GP.
Prescription drug: fill out 1 if any kind of prescription drug is used.
Nulliparity: fill out 1 if the woman is nulliparous.
Comorbidity: fill out 1 if any kind of comorbidity is reported.
BMI: fill out 1 if BMI is between 26 and 30 kg/m2.
Number of visits GP: fill out the number of visits to the GP in the last 10 months. If the woman visited the GP more than three times, fill out 3.
The mean predictive probability is the chance that a women with that score uses OTC-medication. The number of persons are the number of persons in our database having a particular score.