Which infection had the smallest P-value in the dataset, indicating statistical significance?

• A. Surgical site infections (SSIs)
• B. Catheter-associated urinary tract infections (CAUTIs)
• C. Central line-associated bloodstream infections (CLABSIs)
• D. Laboratory identified C. difficile infections (CDIs)

Answer: (A)

P-values measure how unlikely the observed result would be if there were no real difference or effect. A smaller P-value means stronger evidence against the null hypothesis. In this dataset, the infection type with the smallest P-value shows the strongest evidence that the measured outcome differs for it, compared with the others. So surgical site infections have the most statistically significant association or difference in the data. The other infections have larger P-values, indicating weaker evidence of significance. Remember, statistical significance doesn’t always mean clinical importance, and results can be influenced by sample size and multiple comparisons.