Clinical Medicine Research 2016; 5(4): 63-72 http://www.sciencepublishinggroup.com/j/cmr doi: 10.11648/j.cmr.20160504.11 ISSN: 2326-9049 (Print); ISSN: 2326-9057 (Online) A Test of Accuracy and Completeness in Data Flow Value Chain Within the Context of Early Infant Diagnosis of HIV Using Mixed Methods Approaches Leonard King’wara 1, * , David Omondi Okeyo 2 , Charles Obonyo 3 1 Department of Public Health, Maseno University, Kisumu, Kenya 2 Schools of Public Health, Maseno University, Kisumu, Kenya 3 Kenya Medical Research Institute, Kisumu, Kenya Email address: leonard.kingwara@gmail.com (L. King’wara), jandigwa@yahoo.co.uk (D. O. Okeyo), cobonyo@yahoo.com (C. Obonyo) * Corresponding author To cite this article: Leonard King’wara, David Omondi Okeyo, Charles Obonyo. A Test of Accuracy and Completeness in Data Flow Value Chain Within the Context of Early Infant Diagnosis of HIV Using Mixed Methods Approaches. Clinical Medicine Research. Vol. 5, No. 4, 2016, pp. 63-72. doi: 10.11648/j.cmr.20160504.11 Received: May 5, 2016; Accepted: May 17, 2016; Published: June 4, 2016 Abstract: Recent changes to Kenya’s early infant diagnosis (EID) testing algorithm have raised hope that the national goal of reducing perinatal HIV transmission rates to less than 5% can be attained. While programmatic efforts to reach this target are underway, obtaining complete and accurate data from clinical sites to track progress presents a major challenge. The purpose of this study was therefore to assess data completeness, accuracy and challenges in relation to routine EID data management in Kisumu East and Kisumu West Districts within Kisumu County, Kenya. Purposive sampling was used to select 23 active health facilities across the two districts disproportionate by partners. From the selected facilities a sampling frame of 192 patients was established and a sample size of 130 patient’s data selected. Accuracy and completeness were determined by computing sensitivity, specificity, and predictive values. Infant sex, Infant prophylaxis, Breastfeeding information, Entry point, and Test results were found to have registered replication completeness not significantly different from 99% replication at (p>0.05) as oppose to Sample code, Infant Age, Date of sample collection, and PMTCT prophylaxis were found to be significantly different from the 99% replication (p<0.05). On completeness; Sample code and date of sample collection registered completeness beyond the hypothesized value, implying they were complete as required. The remaining data elements including infant sex, infant age, infant prophylaxis, PMTCT prophylaxis, breastfeeding information and entry point were significantly lower than the hypothesized completeness value (p<0.0001) except for test results that had completeness score equal to 0.99. The study, therefore, concludes that despite the shortage of staffing and other challenges, personnel working in the data management system appear to be dedicated, informed and conscientious. However, this research suggests that there is a suboptimal use of the information for local action in certain areas. This assessment thus serves to enlighten policy-makers on the current state of the EID data management system in Kisumu East and West districts. Keywords: Data Accuracy, Completeness, Early Infant Diagnosis, HIV, PMTCT 1. Introduction There are indications that healthcare service delivery is still weak due to lack of accurate and credible data to inform essential health products supply and this has continued to cost lives [1] especially among children at risk of HIV injuries. Key causes to these are gaps and weaknesses in demand forecasting resulting in a mismatch of data and information [2]. In Kenya, these have resulted in children missing out on malaria medicines, pregnant mothers not sleeping under impregnated bed nets, and those living with HIV missing their medicine cycles, thus jeopardizing their lives and contributing to the risk of viral drug resistance within their community, among others [3]. All this point to a deficiency in health information systems, that should be used