Literature DB >> 29616441

Newborn Screening Collection and Delivery Processes in Michigan Birthing Hospitals: Strategies to Improve Timeliness.

Amy L Cochran1, Beth A Tarini2,3, Mary Kleyn4, Gabriel Zayas-Cabán5.   

Abstract

Objectives This study aimed to determine which steps in the newborn screening collection and delivery processes contribute to delays and identify strategies to improve timeliness. Methods Data was analyzed from infants (N = 94,770) who underwent newborn screening at 83 hospitals in Michigan between April 2014 and March 2015. Linear mixed effects models estimated effects of hospital and newborn characteristics on times between steps in the process, whereas simulation explored how to improve timeliness through adjustments to schedules for the state laboratory and for specimen pickup from hospitals. Results Time from collection to receipt of arrival to the state laboratory varied greatly with collection timing (P < 0.001), with specimens collected on Friday or Saturday delayed an average of 9-12 h compared to other specimens. Simulation estimates shifting specimen pickup from 6 p.m. Sunday-Friday to 9 p.m. Sunday-Friday could lead to an additional 12.6% of specimens received by the Michigan laboratory within 60 h of birth. Conclusions for Practice The time between when a specimen is collected and received by the laboratory can be a significant bottleneck in the newborn screening process. Modifying hospital pickup schedules appears to be a simple way to improve timeliness.

Entities:  

Keywords:  Genetic testing; Newborn screening; Newborn screening process; Simulation model

Mesh:

Year:  2018        PMID: 29616441     DOI: 10.1007/s10995-018-2524-z

Source DB:  PubMed          Journal:  Matern Child Health J        ISSN: 1092-7875


  7 in total

1.  Using industrial processes to improve patient care.

Authors:  Terry Young; Sally Brailsford; Con Connell; Ruth Davies; Paul Harper; Jonathan H Klein
Journal:  BMJ       Date:  2004-01-17

2.  CDC Grand Rounds: Newborn screening and improved outcomes.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2012-06-01       Impact factor: 17.586

3.  Stratifying Cystic Fibrosis Risk for Newborn Screen Infants With Equivocal Sweat Chloride Levels.

Authors:  Tyler M Groves; Paul Robinson; Dominic A Fitzgerald
Journal:  Pediatrics       Date:  2015-11       Impact factor: 7.124

4.  Newborn screening: toward a uniform screening panel and system--executive summary.

Authors: 
Journal:  Pediatrics       Date:  2006-05       Impact factor: 7.124

5.  Mainstreaming modeling and simulation to accelerate public health innovation.

Authors:  Paul P Maglio; Martin-J Sepulveda; Patricia L Mabry
Journal:  Am J Public Health       Date:  2014-05-15       Impact factor: 9.308

6.  Development of a bile acid-based newborn screen for Niemann-Pick disease type C.

Authors:  Xuntian Jiang; Rohini Sidhu; Laurel Mydock-McGrane; Fong-Fu Hsu; Douglas F Covey; David E Scherrer; Brian Earley; Sarah E Gale; Nicole Y Farhat; Forbes D Porter; Dennis J Dietzen; Joseph J Orsini; Elizabeth Berry-Kravis; Xiaokui Zhang; Janice Reunert; Thorsten Marquardt; Heiko Runz; Roberto Giugliani; Jean E Schaffer; Daniel S Ory
Journal:  Sci Transl Med       Date:  2016-05-04       Impact factor: 17.956

7.  Newborn screening: evolving challenges in an era of rapid discovery.

Authors:  Donald B Bailey; Lisa Gehtland
Journal:  JAMA       Date:  2015-04-21       Impact factor: 56.272

  7 in total
  1 in total

1.  The Value of Cognitive Pretesting: Improving Validity and Revealing Blind Spots through the Development of a Newborn Screening Parent Experiences Survey.

Authors:  Norma-Jean Simon; Anne Atkins; Brianne Miller; Natasha Bonhomme; Beth Tarini
Journal:  Int J Neonatal Screen       Date:  2021-07-08
  1 in total

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