# Table 5

Scores, predictive probabilities and the percentage of women in each category
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.

Verstappen et al.

Verstappen et al. BMC Public Health 2013 13:185   doi:10.1186/1471-2458-13-185