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
Volume 5, Issue 4, July 2016, Pages: 63-72
Received: May 5, 2016;
Accepted: May 17, 2016;
Published: Jun. 4, 2016
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Leonard King’wara, Department of Public Health, Maseno University, Kisumu, Kenya
David Omondi Okeyo, Schools of Public Health, Maseno University, Kisumu, Kenya
Charles Obonyo, Kenya Medical Research Institute, Kisumu, Kenya
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.
David Omondi Okeyo,
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.
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