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Validation and human factor analysis study of an infant weight estimation device.

Publication ,  Journal Article
Abdel-Rahman, SM; Paul, IM; Delmore, P; Chen, J-Y; Mills, M; Greenberg, RG; Best Pharmaceuticals for Children Act – Pediatric Trials Network,
Published in: BMC Pediatr
January 22, 2020

BACKGROUND: Weight is critical for the medical management of infants; however, scales can be unavailable or inaccessible in some practice settings. We recently developed and validated a robust infant weight estimation method based on chest circumference (CC) and head circumference (HC). This study was designed to determine the human factors (HF) experience with, and predictive performance of, an infant weight estimation device that implements this method. METHODS: Prospective, multi-center, observational, masked study of 486 preterm and term infants (0-90 days) assessed by 15 raters. Raters measured the infant using calibrated scales/measures and masked versions of the device. Raters also evaluated critical tasks associated with device use. Mean error (ME) and mean percentage error (MPE) were used to assess predictive performance. RESULT: Among 486 infants enrolled (36.8 ± 4.0 weeks gestational age, 31.5 ± 28.6 days postnatal age), predicted weight correlated highly with actual weight (r = 0.97, ME: - 69 ± 257 g, MPE: - 1.3 ± 6.9%). Predicted weight was within 10 and 15% of actual weight in 86 and 99%, of infants. HF errors were low, 0.1-0.8% depending on task. In all cases raters were confident or very confident in their measurements. CONCLUSION: The device was statistically equivalent to the method on which it was based and approximated weight with acceptable variance from the true weight. HF data suggest the device is easy to use. This device can be used to estimate weight in infants when calibrated scales are impractical or unavailable.

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Published In

BMC Pediatr

DOI

EISSN

1471-2431

Publication Date

January 22, 2020

Volume

20

Issue

1

Start / End Page

30

Location

England

Related Subject Headings

  • Young Adult
  • Prospective Studies
  • Pediatrics
  • Middle Aged
  • Infant, Newborn
  • Infant
  • Humans
  • Gestational Age
  • Factor Analysis, Statistical
  • Child, Preschool
 

Citation

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MLA
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Abdel-Rahman, S. M., Paul, I. M., Delmore, P., Chen, J.-Y., Mills, M., Greenberg, R. G., & Best Pharmaceuticals for Children Act – Pediatric Trials Network, . (2020). Validation and human factor analysis study of an infant weight estimation device. BMC Pediatr, 20(1), 30. https://doi.org/10.1186/s12887-020-1933-5
Abdel-Rahman, Susan M., Ian M. Paul, Paula Delmore, Jia-Yuh Chen, Mary Mills, Rachel G. Greenberg, and Rachel G. Best Pharmaceuticals for Children Act – Pediatric Trials Network. “Validation and human factor analysis study of an infant weight estimation device.BMC Pediatr 20, no. 1 (January 22, 2020): 30. https://doi.org/10.1186/s12887-020-1933-5.
Abdel-Rahman SM, Paul IM, Delmore P, Chen J-Y, Mills M, Greenberg RG, et al. Validation and human factor analysis study of an infant weight estimation device. BMC Pediatr. 2020 Jan 22;20(1):30.
Abdel-Rahman, Susan M., et al. “Validation and human factor analysis study of an infant weight estimation device.BMC Pediatr, vol. 20, no. 1, Jan. 2020, p. 30. Pubmed, doi:10.1186/s12887-020-1933-5.
Abdel-Rahman SM, Paul IM, Delmore P, Chen J-Y, Mills M, Greenberg RG, Best Pharmaceuticals for Children Act – Pediatric Trials Network. Validation and human factor analysis study of an infant weight estimation device. BMC Pediatr. 2020 Jan 22;20(1):30.
Journal cover image

Published In

BMC Pediatr

DOI

EISSN

1471-2431

Publication Date

January 22, 2020

Volume

20

Issue

1

Start / End Page

30

Location

England

Related Subject Headings

  • Young Adult
  • Prospective Studies
  • Pediatrics
  • Middle Aged
  • Infant, Newborn
  • Infant
  • Humans
  • Gestational Age
  • Factor Analysis, Statistical
  • Child, Preschool