Original Research

Prevention of Mother-to-Child Transmission of HIV data completeness and accuracy assessment in health facilities of the Nkangala District

Motlatso G. Mlambo, Karl Peltzer, Annariina Koivu
Health SA Gesondheid | Vol 19, No 1 | a774 | DOI: https://doi.org/10.4102/hsag.v19i1.774 | © 2014 Motlatso G. Mlambo, Karl Peltzer, Annariina Koivu | This work is licensed under CC Attribution 4.0
Submitted: 20 August 2013 | Published: 21 August 2014

About the author(s)

Motlatso G. Mlambo, HIV/STIs and TB Research Programme (HAST), Human Sciences Research Council (HSRC) and Department of Family Medicine, University of the Witwatersrand, South Africa
Karl Peltzer, HIV/STIs and TB Research Programme (HAST), Human Sciences Research Council (HSRC) South Africa, Department of Psychology, University of Limpopo South Africa and ASEAN Institute for Health Development, Mahidol University, Thailand
Annariina Koivu, INDIGO International Doctorate in Global Health, Trinity College, Ireland

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Background: Even though significant progress has been made in the roll-out and quality of the prevention of mother-to-child transmission of HIV (PMTCT) services in South Africa, the quality of patient data recording remains a challenge.

Objectives: To assess PMTCT data completeness and accuracy at primary healthcare level to district level in order to assist with the improvement of the PMTCT data recording.

Methods: This is a retrospective record review study which involved collecting PMTCT data on indicators which was for the period of August 2009 to January 2010. We conducted baseline facility assessments which included 72 PMTCT sites in one health district, Nkangala. We assessed the data completeness and accuracy of the data values recorded on the seven PMTCT data elements.

Results: Data were only complete for less than a quarter of the time for most of the antenatal indicators (0.5% – 44%) and for the maternity indicators, data were only complete 11% of the time. Data inaccuracy was a result of recording of data values in the District Health Information System (DHIS) which were not within 10% of the data values recorded in the case registers. The results show that data were missing from the case registers, monthly summary sheets and DHIS between 30% and 99% of the time and that data elements had values recorded in the DHIS which were > 10%.

Conclusion: There is a need for ongoing training on data recording procedures at all levels. To maintain data quality, healthcare data must be appropriate, organised, timely, available, accurate and complete.


Prevention of Mother to Child Transmission; Data recording; Health information indicators;


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1. Quality of routine facility data for monitoring priority maternal and newborn indicators in DHIS2: A case study from Gombe State, Nigeria
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