eISSN 2097-6046
ISSN 2096-7446
CN 10-1655/R
Responsible Institution：China Association for Science and Technology
Sponsor：Chinese Nursing Association
中华急危重症护理杂志

Chinese Journal of Emergency and Critical Care Nursing >

2026 , Vol. 7 >Issue 1: 49 - 53

DOI: https://doi.org/10.3761/j.issn.2096-7446.2026.01.007

Special Planning——Critical Pediatric Care

Design and verification of Personalized Neonatal Facial Pain Scale

  • CHENG Xiaoying ,
  • SHU Qi ,
  • ZHAO Yisheng ,
  • ZHU Huaiyu ,
  • CHEN Shuohui
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  • 1. Nursing Department， Chidren’s Hospital Zhejiang University School of Medicine， Hangzhou 310052， China
    2. College of Information Science and Electronic Engineering， Zhejiang University， Hangzhou 310027， China

Received date: 2025-01-23

  Online published: 2026-01-06

Supported by

Zhejiang Provincial Medical and Health Science and Technology Program(2023KY129)

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Abstract

Objective To design a personalized neonatal facial pain scale and conduct reliability and validity tests in clinical scenarios of acute pain. Methods 118 newborns who required blood collection procedures in a tertiary class A children’s specialized hospital were selected as the research subjects. By taking videos during the blood collection process and inputting basic facial images with different identity information，a highly realistic personalized neonatal facial pain scale was automatically generated. The neonatal facial coding system and neonatal infant pain scale were compared and evaluated. 36 pediatric nurses were selected to use three different evaluation tools to rate pain in recorded videos of 118 newborns. Results The discrimination indices of Personalized Neonatal Facial Pain Scale was 0.52，The intra group correlation coefficient of inter-rater consistency for the Personalized Neonatal Facial Pain Scale was 0.792，with a test-retest reliability of 0.961. Using the Neonatal Pain Scale and the Neonatal Facial Coding System as criteria，the Spearman correlation coefficients for the validity of the Personalized Neonatal Facial Pain Scale were 0.733（P<0.001） and 0.721（P<0.001），respectively. Bland Altman analysis showed that 94.47% and 96.37% of the points fell within the consistency interval. Conclusion The Personalized Neonatal Facial Pain Scale have good discrimination of pain，reliability and validity，and can be used as a more convenient scale for evaluating acute pain in newborns.

Key words： Neonatal; Pain; Face; Scale; Reliability; Validity; Personalization

Cite this article

CHENG Xiaoying , SHU Qi , ZHAO Yisheng , ZHU Huaiyu , CHEN Shuohui . Design and verification of Personalized Neonatal Facial Pain Scale[J]. Chinese Journal of Emergency and Critical Care Nursing, 2026 , 7(1) : 49 -53 . DOI: 10.3761/j.issn.2096-7446.2026.01.007

References

[1] 郑显兰, 史源. 中国新生儿疼痛管理循证指南(2023年)[J]. 中国当代儿科杂志, 2023, 25(2):109-127.
  Zheng XL, Shi Y. Evidence-based guideline for neonatal pain management in China(2023)[J]. Chin J Contemp Pediatr, 2023, 25(2):109-127.
[2] 陈妍君, 孙静. 机器学习在新生儿疼痛评估中的研究进展[J]. 护理管理杂志, 2023, 23(2):94-99.
  Chen YJ, Sun J. Research progress on machine learning in neonate pain assessment[J]. J Nurs Adm, 2023, 23(2):94-99.
[3] 卢官明, 宋统帅, 楼亦墨, 等. 基于图的半监督深度学习及其在新生儿疼痛表情识别中的应用[J]. 南京邮电大学学报(自然科学版), 2022, 42(1):53-61.
  Lu GM, Song TS, Lou YM, et al. A graph-based semi-supervised deep learning method for recognition of neonatal facial expressions of pain[J]. J Nanjing Univ Posts Telecommun Nat(Sci Ed), 2022, 42(1):53-61.
[4] Zhu HY, Zhao YS, Chen XF, et al. Video-based neonatal pain assessment in uncontrolled conditions[J]. IEEE J Biomed Health Inform, 2023, 28(1):239-250.
[5] Zhao YS, Zhu HY, Chen XF, et al. Pose-invariant and occlusion-robust neonatal facial pain assessment[J]. Comput Biol Med, 2023, 165:107462.
[6] Biehl M, Hammer B, Villmann T. Prototype-based models in machine learning[J]. Wiley Interdiscip Rev Cogn Sci, 2016, 7(2):92-111.
[7] 陈秋婵, 李漓. 新生儿面部表情疼痛量表的设计与评价[J]. 护理学杂志, 2019, 34(12):49-53.
  Chen QC, Li L. Development and evaluation of a novel neonatal faces pain scale[J]. J Nurs Sci, 2019, 34(12):49-53.
[8] Grunau RE, Oberlander T, Holsti L, et al. Bedside application of the Neonatal Facial Coding System in pain assessment of premature neonates[J]. Pain, 1998, 76(3):277-286.
[9] Peters JWB, Koot HM, Grunau RE, et al. Neonatal Facial Coding System for assessing postoperative pain in infants:item reduction is valid and feasible[J]. 2003, 19(6):353-363.
[10] 贺芳, 张喆, 黄小知, 等. 3种量表用于新生儿足跟采血疼痛评估的信效度分析[J]. 护理学报, 2017, 24(1):1-4.
  He F, Zhang Z, Huang XZ, et al. Reliability and validity of three scales for assessment of heel lance pain in neonates[J]. J Nurs China, 2017, 24(1):1-4.
[11] Corbett M, Marshall D, Harden M, et al. Treatment of extravasation injuries in infants and young children:a scoping review and survey[J]. Health Technol Assess, 2018, 22(46):1-112.
[12] Giordano V, Edobor J, Deindl P, et al. Pain and sedation scales for neonatal and pediatric patients in a preverbal stage of development:a systematic review[J]. JAMA Pediatr, 2019, 173(12):1186-1197.
[13] Cheng XY, Zhu HY, Mei LL, et al. Artificial intelligence based pain assessment technology in clinical application of real-world neonatal blood sampling[J]. Diagnostics, 2022, 12(8):1831.
[14] 林思雅, 李漓, 任许艳. 新生儿术后疼痛评估工具的应用进展[J]. 中华急危重症护理杂志, 2022, 3(4):376-380.
  Lin SY, Li L, Ren XY. Advances in application of postope-rative pain assessment tools in neonates[J]. Chin J Emerg Crit Care Nurs, 2022, 3(4):376-380.
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