Aditya Sharma1, Margaret Ndisha2, Faith Ngari2, Hillary Kipruto3, Kevin P Cain4, Joseph Sitienei2, Emily Bloss5. 1. 1 Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, GA, USA aditya.sharma@cdc.hhs.gov. 2. 2 Division of Leprosy, Tuberculosis and Lung Disease, Kenya Ministry of Health, Nairobi, Kenya. 3. 2 Division of Leprosy, Tuberculosis and Lung Disease, Kenya Ministry of Health, Nairobi, Kenya 3 Kenya Country Office, World Health Organization, Nairobi, Kenya. 4. 4 Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Kisumu, Kenya. 5. 5 Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Abstract
BACKGROUND: Kenya recently transitioned from a paper to an electronic system for recording and reporting of tuberculosis (TB) data. METHODS: During September-October 2013, the data quality of the new system was evaluated through an audit of data in paper source documents and in the national electronic system, and an analysis of all 99 281 cases reported in 2012. RESULTS: While the new electronic system overall is robust, this assessment demonstrated limitations in the concordance and completeness of data reaching the national level. CONCLUSIONS: Additional oversight and training in data entry are needed to strengthen TB surveillance data quality in Kenya. Published by Oxford University Press on behalf of the European Public Health Association 2015. This work is written by US Government employees and is in the public domain in the US.
BACKGROUND: Kenya recently transitioned from a paper to an electronic system for recording and reporting of tuberculosis (TB) data. METHODS: During September-October 2013, the data quality of the new system was evaluated through an audit of data in paper source documents and in the national electronic system, and an analysis of all 99 281 cases reported in 2012. RESULTS: While the new electronic system overall is robust, this assessment demonstrated limitations in the concordance and completeness of data reaching the national level. CONCLUSIONS: Additional oversight and training in data entry are needed to strengthen TB surveillance data quality in Kenya. Published by Oxford University Press on behalf of the European Public Health Association 2015. This work is written by US Government employees and is in the public domain in the US.
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