Validation of Prototype Research Software– Infant Prakriti Assessment (PRS-IPA): Inferences from A Cross Sectional Pattern
Srivastava Niraj1, Singh Praguna2, Gehlot Sangeeta3, Singh Sanjay4, Singh B.M5
1Srivastava Niraj*, Professor, Department of Kaumarbhritya, Balroga, Sardar Patel Institute of Ayurvedic Medical Sciences & Research Centre. Lucknow, Uttar Pradesh, India.
2Singh Praguna, Software developer, SAP Lab Bangalore, Karnataka. Gehlot Sangeeta, Professor and Head, Department of Kriya Sharir, Faculty of Ayurveda, IMS, BHU, Varanasi, India.
3Singh Sanjay, Professor, Department of Computer Science, IIT, BHU, Varanasi, India.
4Singh B. M., Professor and Head, Department of Kaumarbhritya/Balroga, Faculty of Ayurveda, IMS, BHU, Varanasi, India.
5Gehlot Sangeeta, Professor and Head, Department of Kaumarbhritya/Balroga, Faculty of Ayurveda, IMS, BHU, Varanasi, India
Manuscript received on April 05, 2020. | Revised Manuscript received on April 17, 2020. | Manuscript published on April 30, 2020. | PP: 391-395 | Volume-9 Issue-4, April 2020. | Retrieval Number: D6804049420/2020©BEIESP | DOI: 10.35940/ijeat.D6804.049420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Ayurveda, Prakriti, Physical constitution, PRSIPA, Infant, questionnaire, Validation, Software.