Efficiency and Accuracy of a Nutritional Assessment Monitoring and Evaluation Systems (NAMES) / De Manuel, Del Rosario, Zyra, Dimaunahan, Maria Alexandra, Dytuco, Dennis, Espinosa, Isabela Rafaela, Gepte, Diana Francesca, Licaros, Vincent Giorio, Macasipot, Hanniah, Macose, Kristine Cynthia. 6

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The simulated two group non-equivalent quasi-experimental study was conducted among the members of the group, representing the Barangay Health Workers or end-users of the Nutritional Assessment Monitoring and Evaluation System (NAMES). This study determined the efficiency and accuracy of NAMES in collecting and analyzing nutritional surveillance data. The efficiency of NAMES as a monitoring and evaluation tool was determined in terms of time for data collection, processing, and analysis. The accuracy of NAMES was determined by its ability to detect technical errors such as errors in input, physically impossible anthropometric measures; errors in data analysis such as misclassification of nutritional status and faulty data consolidation. Descriptive analyses included the calculation of the mean for both variables of time and accuracy. The mean time for NAMES was compared to the mean time of its manual counterpart and resulted to a 66.4% time reduction in data collection, processing, and analysis. The mean score for determining accuracy for NAMES was compared to the mean score of its manual counterpart, i.e. visual inspection, and resulted to a difference of 17.5% relative error detection rate. Although the present study is limited due to the sample size, testing of NAMES has shown its ability to analyze and present nutritional data in such a way that greatly surpasses its manual counterpart in terms of efficiency and accuracy.

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