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

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, ad...

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Veröffentlicht in:Journal of perinatology 2021-09, Vol.41 (9), p.2304-2308
Hauptverfasser: Barros, Marina Carvalho de Moraes, Thomaz, Carlos Eduardo, da Silva, Giselle Valério Teixeira, do Carmo Azevedo Soares, Juliana, Carlini, Lucas Pereira, Heiderich, Tatiany Marcondes, Orsi, Rafael Nobre, Balda, Rita de Cassia Xavier, Silva, Pedro Augusto Santos Orona, Sanudo, Adriana, Andreoni, Solange, Guinsburg, Ruth
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container_end_page 2308
container_issue 9
container_start_page 2304
container_title Journal of perinatology
container_volume 41
creator Barros, Marina Carvalho de Moraes
Thomaz, Carlos Eduardo
da Silva, Giselle Valério Teixeira
do Carmo Azevedo Soares, Juliana
Carlini, Lucas Pereira
Heiderich, Tatiany Marcondes
Orsi, Rafael Nobre
Balda, Rita de Cassia Xavier
Silva, Pedro Augusto Santos Orona
Sanudo, Adriana
Andreoni, Solange
Guinsburg, Ruth
description 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.
doi_str_mv 10.1038/s41372-021-01143-1
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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.</description><identifier>ISSN: 0743-8346</identifier><identifier>EISSN: 1476-5543</identifier><identifier>DOI: 10.1038/s41372-021-01143-1</identifier><identifier>PMID: 34253842</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>692/700/139/1735 ; 692/700/1720 ; Adult ; Adults ; Attention ; Cognitive ability ; Diagnosis ; Diseases ; Eye (anatomy) ; Facial expression ; Forehead ; Furrows ; Health aspects ; Humans ; Infant, Newborn ; Infants (Newborn) ; Logistic Models ; Medical personnel ; Medicine ; Medicine &amp; Public Health ; Neonates ; Newborn babies ; Pain ; Pain - diagnosis ; Pain in children ; Pain Measurement ; Pediatric research ; Pediatric Surgery ; Pediatrics ; Physiological aspects ; Pictures ; Psychological aspects ; Visual Perception</subject><ispartof>Journal of perinatology, 2021-09, Vol.41 (9), p.2304-2308</ispartof><rights>The Author(s), under exclusive licence to Springer Nature America, Inc. 2021</rights><rights>2021. 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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. 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subjects 692/700/139/1735
692/700/1720
Adult
Adults
Attention
Cognitive ability
Diagnosis
Diseases
Eye (anatomy)
Facial expression
Forehead
Furrows
Health aspects
Humans
Infant, Newborn
Infants (Newborn)
Logistic Models
Medical personnel
Medicine
Medicine & Public Health
Neonates
Newborn babies
Pain
Pain - diagnosis
Pain in children
Pain Measurement
Pediatric research
Pediatric Surgery
Pediatrics
Physiological aspects
Pictures
Psychological aspects
Visual Perception
title Identification of pain in neonates: the adults’ visual perception of neonatal facial features
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