Abstract: The newborn care, immense importance for the proper development and healthy life of a baby. Pain is a subjective phenomenon that is difficult to quantify and qualify. The need for pain measure is a clinically important issue for substantiating a therapeutic decision and evaluating the effectiveness of a particular intervention. Medical and social scientists routinely create scales to measure phenomena that are not directly observable but reveal themselves through several closely related variables containing both subjective and objective ones. Sometimes a scale in a different socio-geographic arena already exists and scientists attempt to modify and adapt the scale in a similar situation in another part of the planet. The above process typically needs the newly proposed scale to be validated and reliable confirmed. Validity and Reliability are important concepts in medical practice because it can be used to reduce errors during diagnostic evaluations, during the analysis of responses to questionnaires, and even during surgical procedures. Various statistical methods can be used to test reliability according to the characteristics of the data (categorical or continuous) and the contexts of testing variables. So far scientists have used Pearson correlation or the spearman’s rank correlation to validate the medical tools. Canonical Correlation used in this research to validate the newly proposed scales on two different medical areas of Baby Pain measurement by the neonatologists. This research is going to provide that the PIPP (Premature Infant Pain Profile) Proposed tool and NPASS (Neonatal Pain Assessment Scale) Proposed tool are valid and reliable tool for assessing acute pain in infants.
Keywords: Infant Pain: PIPP, NPASS; Validity, CCA, Cronbach’s Alpha.
Title: Validity and Reliability of Acute Pain In Infants
Author: Sahoo P, Shanavas M, Biswas K A, Ghosal B , Adhikari S
International Journal of Interdisciplinary Research and Innovations
ISSN 2348-1226 (online), ISSN 2348-1218 (print)
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