Improving public health information: a data quality intervention in KwaZulu-Natal South Africa.
TL;DR: A simple, practical data improvement intervention significantly increased the completeness and accuracy of the data used to monitor PMTCT services in South Africa.
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Abstract: OBJECTIVE: To evaluate the effect of an intervention to improve the quality of data used to monitor the prevention of mother-to-child transmission (PMTCT) of the human immunodeficiency virus in South Africa. METHODS: The study involved 58 antenatal clinics and 20 delivery wards (37 urban, 21 rural and 20 semi-urban) in KwaZulu-Natal province that provided PMTCT services and reported data to the District Health Information System. The data improvement intervention, which was implemented between May 2008 and March 2009, involved training on data collection and feedback for health information personnel and programme managers, monthly data reviews and data audits at health-care facilities. Data on six data elements used to monitor PMTCT services and recorded in the information system were compared with source data from health facility registers before, during and after the intervention. Data completeness (i.e. their presence in the system) and accuracy (i.e. being within 10% of their true value) were evaluated. FINDINGS: The level of data completeness increased from 26% before to 64% after the intervention. Similarly, the proportion of data in the information system considered accurate increased from 37% to 65% (P < 0.0001). Moreover, the correlation between data in the information system and those from facility registers rose from 0.54 to 0.92. CONCLUSION: A simple, practical data improvement intervention significantly increased the completeness and accuracy of the data used to monitor PMTCT services in South Africa.
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Pooled Prevalence of Adverse Pregnancy and Neonatal Outcomes in Malawi, South Africa, Uganda, and Zimbabwe: Results From a Systematic Review and Meta-Analyses to Inform Trials of Novel HIV Prevention Interventions During Pregnancy
Erica M Lokken,Anya Mathur,Katherine E. Bunge,Lee Fairlie,Bonus Makanani,Richard H. Beigi,Lisa M. Noguchi,Jennifer E. Balkus,Jennifer E. Balkus +8 more
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TL;DR: 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.
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TL;DR: Important deficiencies in NCD data and standardised protocols for data collection in the Ethiopian healthcare system were highlighted, indicating the need to strengthen both the healthcare system and health information systems to improve evidence-based decision-making.
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Quality of routine health facility data used for newborn indicators in low- and middle-income countries: A systematic review
TL;DR: It is found that good quality data collection is achievable even in high-burden LMIC settings, but more efforts are needed to ensure uniformly high data quality for neonatal indicators.
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TL;DR: The culture of information use essential to an information system having an impact at the local level is weak in these clinics or at the sub-district level, and further training and support is required for the DHIS to function as intended.
Challenges for Routine Health System Data Management in a Large Public Programme to Prevent Mother-to-Child HIV Transmission in South Africa
TL;DR: Data collected and reported in the public health system across three large, high HIV-prevalence Districts was neither complete nor accurate enough to track process performance or outcomes for PMTCT care.