Table 1:

Comparison of true prevalence and percentage of patients above a cut-off threshold for screening tests

True prevalence, %SensitivitySpecificityPercentage of patients above cut-offPercentage of patients with false-positive screens among those above cut-offPercentage of patients with false-negative screens among those below cut-offPercentage of patients above cut-off − true prevalencePercentage of patients above cut-off/true prevalence
Basic scenario:* sensitivity and specificity were constant across levels of true prevalence
0.078.087.013.0100.00.013.0
5.078.087.016.376.01.311.33.3
10.078.087.019.560.02.79.52.0
15.078.087.022.848.64.37.81.5
20.078.087.026.040.05.96.01.3
25.078.087.029.333.37.84.31.2
30.078.087.032.528.09.82.51.1
Adjusted for varying sensitivity and specificity: sensitivity changed by 1% and specificity by 2% per 10% change in prevalence
0.077.089.011.0100.00.011.0
5.077.588.015.374.61.310.33.1
10.078.087.019.560.02.79.52.0
15.078.586.023.750.34.28.71.6
20.079.085.027.843.25.87.81.4
25.079.584.031.937.67.56.91.3
30.080.083.035.933.19.45.91.2
  • * Based on sensitivity = 78% and specificity = 87%, which are estimates for the standard cut-off threshold of 10 or greater for the Patient Health Questionnaire-9 from a meta-analysis of published results from 21 292 patients (2573 cases, 12%). (17)

  • Sensitivity and specificity may vary with disease prevalence. (18), (19) Thus, estimates of sensitivity and specificity were adjusted upward or downward from a prevalence of 10% based on a meta-analysis (19) that found that sensitivity may decrease 1% and specificity may increase 2% per 10% reduction in prevalence.