The predictive accuracy of a screening test refers to how well the test results predict the actual presence or absence of a disease. This is primarily measured by the Positive Predictive Value (PPV) and Negative Predictive Value (NPV).
Predictive accuracy is directly influenced by:
The relationship is mathematically shown in the formulas for PPV and NPV:
$PPV = (Sensitivity × Prevalence) / [(Sensitivity × Prevalence) + ((1 - Specificity) × (1 - Prevalence))]$
$NPV = (Specificity × (1 - Prevalence)) / [Specificity × (1 - Prevalence) + ((1 - Sensitivity) × Prevalence)]$
Disease incidence represents the rate of new cases occurring in a population over a specified period. While incidence influences the future prevalence of a disease, it is not a direct component in calculating the predictive values (PPV and NPV) of a screening test at a specific point in time for a given population. The current state of the population, defined by its prevalence, is what matters for immediate predictive accuracy.
Therefore, the predictive accuracy of a screening test depends on prevalence, sensitivity, and specificity, but not directly on disease incidence.
Poor hand hygiene of a mess worker in a university college mess led to Hepatitis A cases in the hostel inmates. What type of epidemic will this exposure present with?
1. Propagated
2. Common source-continuous exposure
3. Common source-point exposure
Select the correct answer using the code given below:
Which one of the following statements is NOT true for taking a decision on screening for disease?
In a family of six (2 parents and 4 children), the youngest child catches measles infection. The parents are immune to the infection. On $3^{rd}$ and $5^{th}$ day of the infection of the first child, the two other children also suffer from measles. The secondary attack rate (SAR) of measles is: