Literature DB >> 31587859

Improved Referral of Very Low Birthweight Infants to High-Risk Infant Follow-Up in California.

Vidya V Pai1, Peiyi Kan2, Mihoko Bennett2, Suzan L Carmichael3, Henry C Lee2, Susan R Hintz4.   

Abstract

OBJECTIVE: To examine changes in referral rates of very low birthweight (birthweight <1500 g) infants to high-risk infant follow-up in California and identify factors associated with referral before and after implementation of a statewide initiative in 2013 to address disparities in referral. STUDY
DESIGN: We included very low birthweight infants born 2010-2016 in the population-based California Perinatal Quality Care Collaborative who survived to discharge home. We used multivariable logistic regression to examine factors associated with referral and derive risk-adjusted referral rates by neonatal intensive care unit (NICU) and region.
RESULTS: Referral rate improved from 83.0% (preinitiative period) to 94.9% (postinitiative period); yielding an OR of 1.48 (95% CI, 1.26-1.72) for referral in the postinitiative period after adjustment for year. Referral rates improved the most (≥15%) for infants born at ≥33 weeks of gestation, with a birthweight of 1251-1500 g, and born in intermediate and lower volume NICUs. After the initiative, Hispanic ethnicity, small for gestational age status, congenital anomalies, and major morbidities were no longer associated with a decreased odds of referral. Lower birthweight, outborn status, and higher NICU volume were no longer associated with increased odds of referral. African American race was associated with lower odds of referral, and higher NICU level with a higher odds of referral during both time periods. Referral improved in many previously poor-performing NICUs and regions.
CONCLUSIONS: High-risk infant follow-up referral of very low birthweight infants improved substantially across all sociodemographic, perinatal, and clinical variables after the statewide initiative, although disparities remain. Our results demonstrate the benefit of a targeted initiative in California, which may be applicable to other quality collaboratives.
Copyright © 2019 Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 31587859      PMCID: PMC6917822          DOI: 10.1016/j.jpeds.2019.08.050

Source DB:  PubMed          Journal:  J Pediatr        ISSN: 0022-3476            Impact factor:   4.406


  33 in total

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Review 2.  The Vermont-Oxford Neonatal Network: integrating research and clinical practice to improve the quality of medical care.

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4.  Maternal and infant predictors of attendance at Neonatal Follow-Up programmes.

Authors:  M Ballantyne; B Stevens; A Guttmann; A R Willan; P Rosenbaum
Journal:  Child Care Health Dev       Date:  2013-01-07       Impact factor: 2.508

5.  Referral of very low birth weight infants to high-risk follow-up at neonatal intensive care unit discharge varies widely across California.

Authors:  Susan R Hintz; Jeffrey B Gould; Mihoko V Bennett; Erika E Gray; Kimie J Kagawa; Joseph Schulman; Barbara Murphy; Grace Villarin-Duenas; Henry C Lee
Journal:  J Pediatr       Date:  2014-11-22       Impact factor: 4.406

6.  Gestational age and developmental risk in moderately and late preterm and early term infants.

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7.  Vital statistics linked birth/infant death and hospital discharge record linkage for epidemiological studies.

Authors:  B Herrchen; J B Gould; T S Nesbitt
Journal:  Comput Biomed Res       Date:  1997-08

8.  The NICHD neonatal research network: changes in practice and outcomes during the first 15 years.

Authors:  Avroy A Fanaroff; Maureen Hack; Michele C Walsh
Journal:  Semin Perinatol       Date:  2003-08       Impact factor: 3.300

9.  Level and volume of neonatal intensive care and mortality in very-low-birth-weight infants.

Authors:  Ciaran S Phibbs; Laurence C Baker; Aaron B Caughey; Beate Danielsen; Susan K Schmitt; Roderic H Phibbs
Journal:  N Engl J Med       Date:  2007-05-24       Impact factor: 91.245

10.  Early school-age outcomes of late preterm infants.

Authors:  Steven Benjamin Morse; Hao Zheng; Yiwei Tang; Jeffrey Roth
Journal:  Pediatrics       Date:  2009-04       Impact factor: 7.124

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2.  Developing a Unit-Based Quality Improvement Program in a Large Neonatal ICU.

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  2 in total

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