Identification of pain in neonates: the adults' visual perception of neonatal facial features

Abstract

Objective: To verify the visual attention of adults when assessing neonatal pain.

Study design: 143 adults (59% health professionals) evaluated 20 pictures (2 pictures of 10 neonates' faces: at rest; during a painful procedure). Tobii-TX300 tracked the participants' eyes movement. For each picture, adults scored pain intensity (0 = no pain; 10 = maximum). Latent classes analysis was applied by cognitive diagnosis models-GDINA with two attributes (knowledge of pain presence/absence). Variables associated with belonging to the class of adults that correctly identified pictures of newborns with/without pain were identified by logistic regression.

Results: To identify neonatal pain, adults look at the mouth, eyes, and forehead in facial pictures. The latent class analysis identified four classes of adults: those that identify painful/painless neonates (YY-Class; n = 80); only painful neonates (n = 28); only painless neonates (n = 34) and none (n = 1). Being a health professional (OR: 2.29; 95% CI: 1.16-4.51), and each look at the nasolabial furrow (2.07; 1.19-3.62) increased the chance of belonging to the YY-class.

Conclusions: Being a health professional and the visual fixation at the nasolabial furrow helped to identify the presence/absence of neonatal pain.