Literature DB >> 14654595

Management of hyperbilirubinemia in newborns: measuring performance by using a benchmarking model.

Shu-Chiung Chou1, R Heather Palmer, Sudhakar Ezhuthachan, Christine Newman, Brenna Pradell-Boyd, M Jeffrey Maisels, Marcia A Testa.   

Abstract

BACKGROUND: Accreditors hold hospitals accountable for harm from serious newborn hyperbilirubinemia, yet standards for evaluating performance in prevention are lacking.
OBJECTIVE: We confirmed prognostic variables for newborn hyperbilirubinemia and developed a benchmarking model for self-evaluation of hyperbilirubinemia management.
METHODS: We conducted a 3-year prospective cohort study in the Henry Ford Health System (HFHS) on 5507 healthy newborns of >or=35 weeks' gestational age. HFHS follows a rigorous protocol for hyperbilirubinemia management. Defining hyperbilirubinemia as age-specific levels of total serum bilirubin exceeding American Academy of Pediatrics criteria for considering phototherapy and severe hyperbilirubinemia as total serum bilirubin >or=20 mg/dL, we used logistic and Poisson regressions to determine predictors and estimate parameters for a benchmarking model. We compared incidence rates for severe hyperbilirubinemia from HFHS to aggregate data from 11 hospitals reported to have less rigorous management.
RESULTS: Newborns were 52.9% black, 14.4% white, 24.3% Latino, and 2.4% Asian; 30% were exclusively and 28% partially breastfed. Regression analyses revealed associations for hyperbilirubinemia and severe hyperbilirubinemia with black mothers (negative) and exclusive or partial breastfeeding and younger gestational age (positive). Male newborns and older mothers were also associated with severe hyperbilirubinemia. For all 5 variables, we found a lower risk for severe hyperbilirubinemia at HFHS than in the comparison hospital group. To compare hospitals, we developed a benchmarking model for incidence of hyperbilirubinemia adjusting for race, feeding method, and gestational age.
CONCLUSIONS: Hospitals with access to newborns' inpatient and postdischarge data can use our benchmarking model to compare their management of hyperbilirubinemia with a reference population that received rigorous care.

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Year:  2003        PMID: 14654595     DOI: 10.1542/peds.112.6.1264

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  9 in total

1.  Is the hour-specific bilirubin nomogram suitable for predicting hyperbilirubinemia.

Authors:  Bilgen Hülya; Ozek Eren; Topuzoglu Ahmet
Journal:  Indian J Pediatr       Date:  2008-05       Impact factor: 1.967

2.  Identifying newborns at risk of significant hyperbilirubinaemia: a comparison of two recommended approaches.

Authors:  R Keren; V K Bhutani; X Luan; S Nihtianova; A Cnaan; J S Schwartz
Journal:  Arch Dis Child       Date:  2005-04       Impact factor: 3.791

3.  The African-American neonate at risk for extreme hyperbilirubinemia: a better management strategy is needed.

Authors:  W C Golden
Journal:  J Perinatol       Date:  2017-04       Impact factor: 2.521

4.  Biophysiologic and social stress relationships with breast milk feeding pre- and post-discharge from the neonatal intensive care unit.

Authors:  Isabell B Purdy; Namrata Singh; Cindy Le; Cynthia Bell; Christy Whiteside; Mara Collins
Journal:  J Obstet Gynecol Neonatal Nurs       Date:  2012 May-Jun

5.  Bodyweight loss in predicting neonatal hyperbilirubinemia 72 hours after birth in term newborn infants.

Authors:  Wen-Chieh Yang; Lu-Lu Zhao; Yu-Cheng Li; Chi-Hua Chen; Yu-Jun Chang; Yun-Ching Fu; Han-Ping Wu
Journal:  BMC Pediatr       Date:  2013-09-21       Impact factor: 2.125

Review 6.  Hyperbilirubinemia in Neonates: Types, Causes, Clinical Examinations, Preventive Measures and Treatments: A Narrative Review Article.

Authors:  Sana Ullah; Khaista Rahman; Mehdi Hedayati
Journal:  Iran J Public Health       Date:  2016-05       Impact factor: 1.429

7.  Rate and Predictors of Neonatal Jaundice in Northwest Ethiopia: Prospective Cohort Study.

Authors:  Molla Yigzaw Birhanu; Aytenew Atnaf Workineh; Yalew Molla; Ermias Abebaw; Amit Arora; Yibelu Bazezew
Journal:  J Multidiscip Healthc       Date:  2021-02-22

8.  Applying data mining techniques to improve diagnosis in neonatal jaundice.

Authors:  Duarte Ferreira; Abílio Oliveira; Alberto Freitas
Journal:  BMC Med Inform Decis Mak       Date:  2012-12-07       Impact factor: 2.796

9.  Evaluation of risk factors for development of severe hyperbilirubinemia in term and near term infants in Turkey.

Authors:  Ali Bulbul; Nihal Cayonu; Merve Emecen Sanli; Sinan Uslu
Journal:  Pak J Med Sci       Date:  2014-09       Impact factor: 1.088

  9 in total

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