Evaluation of Automated Online Quality Checker Implementation for the Brucellosis Surveillance system, Egypt 2016

Evaluation of Automated Online Quality Checker Implementation for the Brucellosis Surveillance system, Egypt 2016

Evaluation of Automated Online Quality Checker Implementation for the Brucellosis Surveillance system, Egypt 2016

Authors of this article:

Ibrahim ELdeyahy ;   A Kandeel ;   A Eid ;   H Abu Elsood ;   A El Sabbah

Abstract

Corresponding Author:

Ibrahim ELdeyahy


Background: National Egyptian Disease Surveillance System collects data on 40 diseases and conditions from 584 nominated reporting sites out of 27 governorates. Brucellosis is a weekly notifiable disease. Reporting levels of completeness and timeliness may differ that may influence data quality; these attributes needed to be assessed prior further manipulation of data. In 2016, Surveillance Online Checker (SOC) was launched to facilitate quality check to give feedback about timeliness and completeness of optional (to online entry) variables to the reporting sites (Completeness of mandatory variables is 100%).

Objective: We aimed to measure the effect of Surveillance Online Checker on brucellosis surveillance data completeness and timeliness after one year of implementation.

Methods: Brucellosis data completeness and timeliness of selected optional variables from the case reporting form were compared before and after one year (2015-2016) of launching SOC using Chi square and student t-test.

Results: It is found that completeness of optional variables were increased from 67.3 % to 78.4% as follows; Detailed Address (67.3% to 78.9%, P<0.0001), Patient Telephone (22.1% to 59.9%, P<0.0001), National ID (2.8% to 23.8%, P<0.0001), Lab Test (81.3% to 86.2%, P=0.043) Final Diagnosis (68.3 to 91.8, P<0.0001) and Investigation Forms (52.3% to 75.2%, P<0.0001). While other variables had no significant change such as Occupation (92.7% to 93.0%, P=0.946). The reporting during predefined Timeliness increased from 69.1% to 89.8%, P<0.0001, with Average Data Entry Time per Case since its classification improved to be 3.8 days instead of 8.8 days. The average time to retrieve previous calculations shortened from 2 working days /month to just seconds after running SOC.

Conclusions: Completeness and timeliness of brucellosis surveillance improved after SOC. It is recommended to utilize SOC results by intermediate and peripheral levels after adapting SOC for these levels and adding additional surveillance attributes to SOC.

iproc 2018;4(1):e10550

doi:10.2196/10550


Edited by Y Khader; This is a non–peer-reviewed article. submitted 29.03.18; accepted 29.03.18; published 29.03.18

Copyright

©Ibrahim ELdeyahy, A Kandeel, A Eid, H Abu Elsood, A El Sabbah. Originally published in Iproceedings (http://www.iproc.org), 29.03.2018.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in Iproceedings, is properly cited. The complete bibliographic information, a link to the original publication on http://www.iproc.org/, as well as this copyright and license information must be included.