Validation of Prototype Research Software Infant Prakriti Assessment PRS IPA Inferences from A Cross Sectional Pattern

Abstract

Introduction: Prakriti determination in an infant helps to live more healthy and prosperous life by changing their rearing plan accordingly to prevent onset of related disorders in future. Validation under this study was planned to evaluate the agreement between Infant’s Prakriti Assessment questionnaire (IPAQ) and PRS-IPA (Prototype Research Software-Infant Prakriti Assessment), a software for Prakriti assessment in infants. Materials and methods: A cross sectional study was carried out in Sir Sunderlal Hospital BHU and data were analyzed through two step Prakriti determination process i.e. first, by Infant’s Prakriti Assessment questionnaire (IPAQ) and second by PRS-IPA. Validation was done by Spearman’s Rank Correlation Coefficient and Cohen's kappa coefficient. Observations and Result: In this study, Cohen's kappa coefficient was found 0.955 which is highly significant. Prakriti assessed by PRS-IPA software is valid. Validation by Spearman’s Rank Correlation coefficient was also found highly significant (p=0.000). Discussion & Conclusion: The data, derived from spearman’s and kappa suggest its validity and PRS-IPA can be used for the Prakriti assessment with accuracy in infants.