Sentence examples for difference in the timeliness from inspiring English sources

For example, is there a difference in the timeliness of nursing assessments and initial antibiotic administration for patients with pneumonia who are held in the emergency department compared with those who are directly admitted to an inpatient bed?

Although there was no statistically significant difference in the timeliness of respiratory assessments or antibiotic administration, antibiotics were delivered to the ED direct-admit group an average of 1 hour earlier than to the ED hold group.

The benefit is calculated as the difference in the timeliness between syndromic surveillance and clinical case finding in those simulations in which detection occurred first by syndromic surveillance.

The differences in the timeliness component were partly due to the setting and manpower constraint in the hospitals.

We have estimated the population health impact of the observed relative differences in the timeliness of diagnosis.

In a routinely collected notifiable disease surveillance context where data transfer can be delayed, when one case does not automatically initiate public health action, and when the disease has a low reproductive number, small differences in the timeliness or sensitivity of algorithms may not significantly affect their usefulness.

To test for a significant difference in timeliness, the Wilcoxon sign rank test was performed to test the null hypothesis of no lag (0 seconds).

In the 2010 UK study participants reported inconsistent advice regarding timeliness from health care professionals [ 31].

At the 0.01 false alarm level, there was a significant difference in timeliness among the algorithms compared for the larger simulation scenarios only (S1 Friedman χ2 = 5.1, p < 0.41, S2 Friedman χ2 = 9.3, p < 0.10, S3 Friedman χ2 = 20.3, p < 0.001 and S4 Friedman χ2 = 17.1, p < 0.004).

There was a significant difference in timeliness among the algorithms compared for all simulation scenarios at the 0.05 false alarm rate (S1 Friedman χ2 = 53.4, p < 0.00001, S2 Friedman χ2 = 60.6, p < 0.00001, S3 Friedman χ2 = 70.1, p < 0.00001 and S4 Friedman χ2 = 76.7, p < 0.00001), with the HMM on average detecting outbreaks several days later than the EARS C3 and NBC algorithms.

We used ANOVA to test for significant difference in the algorithms' sensitivities and timeliness.