AI Article Synopsis
- * To identify challenges that affect data quality, conducting a data quality audit is essential, as demonstrated in this case study.
- * The case study simulates a data quality audit in a health facility for public health trainees, helping reinforce theoretical understanding of data quality and auditing in about 2.5 hours.
Article Abstract
Public health officials depend on timely, complete, and accurate surveillance data for decision making. The quality of data generated from surveillance is highly dependent on external and internal factors which may either impede or enhance surveillance activities. One way of identifying challenges affecting the quality of data generated is to conduct a data quality audit. This case study, based on an audit conducted by residents of the Liberia Frontline Field Epidemiology Training Program, was designed to be a classroom simulation of a data quality audit in a health facility. It is suited to enforce theoretical lectures in surveillance data quality and auditing. The target group is public health trainees, who should be able to complete this exercise in approximately 2 hours and 30 minutes.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5500932 | PMC |
| http://dx.doi.org/10.11604/pamj.supp.2017.27.1.12561 | DOI Listing |
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