Quantification of EUGR as a Measure of the Quality of Nutritional Care of Premature Infants
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. Retrospective data analysis was performed to compare the growth of premat...
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| creator | Lin, Zhenlang Green, Robert S Chen, Shangqin Wu, Hui Liu, Tiantian Li, Jingyang Wei, Jia Lin, Jing |
| description | 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.
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.
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.
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. |
| doi_str_mv | 10.1371/journal.pone.0132584 |
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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.
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.
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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0132584</identifier><identifier>PMID: 26193640</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Age ; Analysis ; Babies ; Benchmarks ; Birth weight ; Birth Weight - physiology ; Child development ; Data analysis ; Data collection ; Data processing ; Discharge ; Female ; Food and nutrition ; Gestation ; Gestational Age ; Hospitals ; Humans ; Hydrologic data ; Infant ; Infant, Newborn ; Infant, Premature - growth & development ; Infant, Very Low Birth Weight - growth & development ; Infants ; Intensive care ; Intensive Care Units, Neonatal ; Male ; Measurement ; Mortality ; Newborn babies ; Nutritional Status ; Nutritional Support ; Pay for performance ; Pediatrics ; Physical growth ; Premature infants ; Quality ; Regression analysis ; Regression models ; Retrospective Studies ; Risk analysis ; Risk factors ; Standard deviation ; Statistical analysis ; Variance analysis ; Weight Gain - physiology</subject><ispartof>PloS one, 2015-07, Vol.10 (7), p.e0132584-e0132584</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Lin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Lin et al 2015 Lin et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-838ecf52ad324bedbc18a92f33659424c9f1f9078d5b0f6818d56718974b1d373</citedby><cites>FETCH-LOGICAL-c692t-838ecf52ad324bedbc18a92f33659424c9f1f9078d5b0f6818d56718974b1d373</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4508031/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4508031/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,2915,23847,27905,27906,53772,53774,79349,79350</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26193640$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Baud, Olivier</contributor><creatorcontrib>Lin, Zhenlang</creatorcontrib><creatorcontrib>Green, Robert S</creatorcontrib><creatorcontrib>Chen, Shangqin</creatorcontrib><creatorcontrib>Wu, Hui</creatorcontrib><creatorcontrib>Liu, Tiantian</creatorcontrib><creatorcontrib>Li, Jingyang</creatorcontrib><creatorcontrib>Wei, Jia</creatorcontrib><creatorcontrib>Lin, Jing</creatorcontrib><title>Quantification of EUGR as a Measure of the Quality of Nutritional Care of Premature Infants</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
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.
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.
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.</description><subject>Age</subject><subject>Analysis</subject><subject>Babies</subject><subject>Benchmarks</subject><subject>Birth weight</subject><subject>Birth Weight - physiology</subject><subject>Child development</subject><subject>Data analysis</subject><subject>Data collection</subject><subject>Data processing</subject><subject>Discharge</subject><subject>Female</subject><subject>Food and nutrition</subject><subject>Gestation</subject><subject>Gestational Age</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hydrologic data</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Infant, Premature - growth & development</subject><subject>Infant, Very Low Birth Weight - growth & development</subject><subject>Infants</subject><subject>Intensive care</subject><subject>Intensive Care Units, Neonatal</subject><subject>Male</subject><subject>Measurement</subject><subject>Mortality</subject><subject>Newborn babies</subject><subject>Nutritional Status</subject><subject>Nutritional Support</subject><subject>Pay for performance</subject><subject>Pediatrics</subject><subject>Physical growth</subject><subject>Premature infants</subject><subject>Quality</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Retrospective Studies</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Standard deviation</subject><subject>Statistical analysis</subject><subject>Variance analysis</subject><subject>Weight Gain - 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physiology</topic><topic>Child development</topic><topic>Data analysis</topic><topic>Data collection</topic><topic>Data processing</topic><topic>Discharge</topic><topic>Female</topic><topic>Food and nutrition</topic><topic>Gestation</topic><topic>Gestational Age</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hydrologic data</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Infant, Premature - growth & development</topic><topic>Infant, Very Low Birth Weight - growth & development</topic><topic>Infants</topic><topic>Intensive care</topic><topic>Intensive Care Units, Neonatal</topic><topic>Male</topic><topic>Measurement</topic><topic>Mortality</topic><topic>Newborn babies</topic><topic>Nutritional Status</topic><topic>Nutritional Support</topic><topic>Pay for performance</topic><topic>Pediatrics</topic><topic>Physical growth</topic><topic>Premature infants</topic><topic>Quality</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Retrospective Studies</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Standard deviation</topic><topic>Statistical analysis</topic><topic>Variance analysis</topic><topic>Weight Gain - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lin, Zhenlang</au><au>Green, Robert S</au><au>Chen, Shangqin</au><au>Wu, Hui</au><au>Liu, Tiantian</au><au>Li, Jingyang</au><au>Wei, Jia</au><au>Lin, Jing</au><au>Baud, Olivier</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantification of EUGR as a Measure of the Quality of Nutritional Care of Premature Infants</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-07-20</date><risdate>2015</risdate><volume>10</volume><issue>7</issue><spage>e0132584</spage><epage>e0132584</epage><pages>e0132584-e0132584</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
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.
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.
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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26193640</pmid><doi>10.1371/journal.pone.0132584</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Age Analysis Babies Benchmarks Birth weight Birth Weight - physiology Child development Data analysis Data collection Data processing Discharge Female Food and nutrition Gestation Gestational Age Hospitals Humans Hydrologic data Infant Infant, Newborn Infant, Premature - growth & development Infant, Very Low Birth Weight - growth & development Infants Intensive care Intensive Care Units, Neonatal Male Measurement Mortality Newborn babies Nutritional Status Nutritional Support Pay for performance Pediatrics Physical growth Premature infants Quality Regression analysis Regression models Retrospective Studies Risk analysis Risk factors Standard deviation Statistical analysis Variance analysis Weight Gain - physiology |
| title | Quantification of EUGR as a Measure of the Quality of Nutritional Care of Premature Infants |
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