Literature DB >> 16679962

Navigating the maze of newborn screening.

Joanna K Spahis1, Nancy R Bowers.   

Abstract

Newborn screening tests are obtained for all live births in the United States in an effort to identify newborns affected with, or at risk for, various genetic and metabolic diseases. This screening began in the early 1960s with an inexpensive screening test for phenylketonuria (PKU), but the introduction of new technology in the 1990s using tandem mass spectrometry provided the means to screen for over 30 additional metabolic disorders. Newborn-screening programs are state funded and operated, and many factors affect whether certain conditions are included in a state's screening program, including how severe the condition would be if left untreated, the prevalence of that condition in the state's population, and whether there is a treatment available that would improve the course of illness. Numerous ethical issues must be considered concerning newborn screening. Some of these are disparity in access to screening and care, cost of screening, lack of standardized protocols for informed consent, and inconsistent policies for not only abnormal laboratory values but also follow-up diagnosis and medical management. Nurses who work with mothers and infants need to (1) be aware of the laws and policies regarding newborn screening for their state, (2) become familiar with the conditions screened, their inheritance patterns, and their early symptoms, and (3) understand what parents need to be told so that they are able to make informed decisions about their newborns.

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Year:  2006        PMID: 16679962     DOI: 10.1097/00005721-200605000-00012

Source DB:  PubMed          Journal:  MCN Am J Matern Child Nurs        ISSN: 0361-929X            Impact factor:   1.412


  1 in total

1.  Cost-utility analysis of neonatal screening program, shiraz university of medical sciences, shiraz, iran, 2010.

Authors:  Nahid Hatam; Samad Shirvani; Mehdi Javanbakht; Mehrdad Askarian; Mohsen Rastegar
Journal:  Iran J Pediatr       Date:  2013-10       Impact factor: 0.364

  1 in total

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