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Quantification of EUGR as a Measure of the Quality of Nutritional Care of Premature Infants

OBJECTIVES: To develop an index of the quality of nutritional care of premature infants based on the change in weight Z score from birth to discharge and to illustrate the use of this index in comparing the performance of different NICUs. METHODS: Retrospective data analysis was performed to compare...

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Autores principales: Lin, Zhenlang, Green, Robert S., Chen, Shangqin, Wu, Hui, Liu, Tiantian, Li, Jingyang, Wei, Jia, Lin, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4508031/
https://www.ncbi.nlm.nih.gov/pubmed/26193640
http://dx.doi.org/10.1371/journal.pone.0132584
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author Lin, Zhenlang
Green, Robert S.
Chen, Shangqin
Wu, Hui
Liu, Tiantian
Li, Jingyang
Wei, Jia
Lin, Jing
author_facet Lin, Zhenlang
Green, Robert S.
Chen, Shangqin
Wu, Hui
Liu, Tiantian
Li, Jingyang
Wei, Jia
Lin, Jing
author_sort Lin, Zhenlang
collection PubMed
description OBJECTIVES: To develop an index of the quality of nutritional care of premature infants based on the change in weight Z score from birth to discharge and to illustrate the use of this index in comparing the performance of different NICUs. METHODS: Retrospective data analysis was performed to compare the growth of premature infants born in three perinatal centers. Infants with gestational age ≤ 32 weeks who survived to discharge from 2006 to 2010 were included. Weight Z scores at birth and discharge were calculated by the method of Fenton. Using data from one NICU as the reference, a multivariable linear regression model of change in weight Z score from birth to discharge was developed. Employing this model, a benchmark value of change in weight Z score was calculated for each baby. The difference between this calculated benchmark value and the baby’s observed change in weight Z score was defined as the performance gap for that infant. The average value of the performance gaps in a NICU serves as its quality care index. RESULTS: 1,714 infants were included for analysis. Change in weight Z score is influenced by birth weight Z score and completed weeks of gestation; thus the model for calculating the benchmark change in weight Z score was adjusted for these two variables. We found statistically significant differences in the average performance gaps for the three units. CONCLUSIONS: A quality care index was developed based on change in weight Z score from birth to discharge adjusted for two initial risk factors. This objective, easily calculated index may be used as a measurement of the quality of nutritional care to rank the performance of different NICUs.
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spelling pubmed-45080312015-07-24 Quantification of EUGR as a Measure of the Quality of Nutritional Care of Premature Infants Lin, Zhenlang Green, Robert S. Chen, Shangqin Wu, Hui Liu, Tiantian Li, Jingyang Wei, Jia Lin, Jing PLoS One Research Article OBJECTIVES: To develop an index of the quality of nutritional care of premature infants based on the change in weight Z score from birth to discharge and to illustrate the use of this index in comparing the performance of different NICUs. METHODS: Retrospective data analysis was performed to compare the growth of premature infants born in three perinatal centers. Infants with gestational age ≤ 32 weeks who survived to discharge from 2006 to 2010 were included. Weight Z scores at birth and discharge were calculated by the method of Fenton. Using data from one NICU as the reference, a multivariable linear regression model of change in weight Z score from birth to discharge was developed. Employing this model, a benchmark value of change in weight Z score was calculated for each baby. The difference between this calculated benchmark value and the baby’s observed change in weight Z score was defined as the performance gap for that infant. The average value of the performance gaps in a NICU serves as its quality care index. RESULTS: 1,714 infants were included for analysis. Change in weight Z score is influenced by birth weight Z score and completed weeks of gestation; thus the model for calculating the benchmark change in weight Z score was adjusted for these two variables. We found statistically significant differences in the average performance gaps for the three units. CONCLUSIONS: A quality care index was developed based on change in weight Z score from birth to discharge adjusted for two initial risk factors. This objective, easily calculated index may be used as a measurement of the quality of nutritional care to rank the performance of different NICUs. Public Library of Science 2015-07-20 /pmc/articles/PMC4508031/ /pubmed/26193640 http://dx.doi.org/10.1371/journal.pone.0132584 Text en © 2015 Lin et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lin, Zhenlang
Green, Robert S.
Chen, Shangqin
Wu, Hui
Liu, Tiantian
Li, Jingyang
Wei, Jia
Lin, Jing
Quantification of EUGR as a Measure of the Quality of Nutritional Care of Premature Infants
title Quantification of EUGR as a Measure of the Quality of Nutritional Care of Premature Infants
title_full Quantification of EUGR as a Measure of the Quality of Nutritional Care of Premature Infants
title_fullStr Quantification of EUGR as a Measure of the Quality of Nutritional Care of Premature Infants
title_full_unstemmed Quantification of EUGR as a Measure of the Quality of Nutritional Care of Premature Infants
title_short Quantification of EUGR as a Measure of the Quality of Nutritional Care of Premature Infants
title_sort quantification of eugr as a measure of the quality of nutritional care of premature infants
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4508031/
https://www.ncbi.nlm.nih.gov/pubmed/26193640
http://dx.doi.org/10.1371/journal.pone.0132584
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