We speculate that the discrepancies between administrative data and self-report for identifying stroke are due to the lower sensitivity of the administrative algorithm (67%), thus underestimating the true prevalence within this source.
Firstly, a potential source of bias comes from relying on administrative registries as several discrepancies between administrative data and audited and validated clinical data have been suggested [ 32- 35].
Regional administrative data show large discrepancies when compared against ECS and DHS data (differences sometimes reaching 30 percentage points).
First, a potential source of bias comes from relying on administrative registries as several discrepancies between administrative data and audited and validated clinical data have been suggested [ 39, 40].
This study examines discrepancies between administrative data and chart notes with regard to behaviourally based mental health diagnoses in a VHA population with depression.
Substantial heterogeneity is also found in the direction and size of discrepancies between administrative and ECS district coverage rates (Table 1).
On the other hand, physician visits, which had a high base rate, were underestimated by 35%to45%5% using self-report relative to administrative information, and these discrepancies held across different levels of disease activity.
"It seems even the slightest discrepancy or administrative misstep is used to allow the district to bring the hammer down". Jeanne Allen, head of the pro-charter Center for Education Reform, based in Washington, D.C., said school districts should not be forced to oversee charters — and that charters should not be forced to submit to local districts.
One possible reason for the discrepancy between administrative and our survey coverage is that the Ministry of Health during the immunization campaigns relied on old projected population estimates from the district population office.
Their research identified several discrepancies related to administrative data collection (Zeng et al. 2016, p. 1); for example, a significant anomaly occurred in 2008 when more than 20% of DCRP data was missing in the cause of death field for that year (Zeng et al. 2016).
Misclassification of postoperative complications contributed to the discrepancy observed between administrative and chart review data.
