LAUSR

ABSTRACT Background The concept of a neonatal near miss is used to explain neonates who nearly died but survived a life-threatening complication in the first 28 days of life. We have left many ill surviving (near-miss) neonates, due to a lack of valid and reliable assessment scale, particularly in Ethiopia. Aim We aim to psychometrically validate the neonatal near-miss assessment scale (NNMAS) for Ethiopia. Methods A total of 465 live birth neonates were included with the assumption of a participant-to-item ratio of 15:1. A new contextually validated NNMAS was used to collect data. The Kaiseri––Mayer––Olkin (KMO) measure of sampling adequacy with a cutoff value of ≥0.50 for each item was applied. For reliability and validity of NNMAS, exploratory factor analysis using principal component analysis with oblique varimax rotation was used. Internal consistency and reliability were assessed using Cronbach’s alpha. Convergent and discriminant validity was assessed using composite reliability (CR) and average variance extracted (AVE). Results The Kaiser––Mayer––Olkin (KMO = 0.74) measure of sampling adequacy and Bartlett’s Sphericity test for the appropriateness of the identity matrix (χ2 = 2903.9, df = 276, and P = 0.000) were suitable for exploratory factor analysis (EFA). The correlation matrix determinant of the study was 0.002. The principal component analysis (PCA) identified six factors and together explained 54.3% of the variation in the Neonatal Near miss. The Cronbach-alpha coefficient was 0.80 for the entire scale. The composite reliability values of the factors ranged from 0.87 to 0.95. The AVEs, CR, and factor loadings were above 0.5 for all factors indicating that convergent validity was met. The square roots of the AVEs were greater than factor correlation values. It was revealed that discriminated validity was also met. Conclusion The neonatal near-miss assessment scale was found to be valid and reliable in the present context. The scale can be used to identify near-miss neonates in Ethiopia.