Literature DB >> 18064713

Collection, use, and protection of population-based birth defects surveillance data in the united states.

Cara T Mai1, David J Law, Craig A Mason, Bradley D McDowell, Robert E Meyer, Debra Musa.   

Abstract

Birth defects surveillance systems collect population-based birth defects data from multiple sources to track trends in prevalence, identify risk factors, refer affected families to services, and evaluate prevention efforts. Strong state and federal public health and legal mandates are in place to govern the collection and use of these data. Despite the prima facie appeal of "opt-in" and similar strategies to those who view data collection as a threat to privacy, the use of these strategies in lieu of population-based surveillance can severely limit the ability of public health agencies to accurately access the health status of a group within a defined geographical area. With the need for population-based data central to their mission, birth defects programs around the country take their data stewardship role seriously, recognizing both moral and legal obligations to protect the data by employing numerous safeguards. Birth defects surveillance systems are shaped by the needs of the community they are designed to serve, with the goal of preventing birth defects or alleviating the burdens associated with them. (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 18064713     DOI: 10.1002/bdra.20420

Source DB:  PubMed          Journal:  Birth Defects Res A Clin Mol Teratol        ISSN: 1542-0752


  3 in total

1.  The effects of opt-out legislation on data collection and surveillance of birth defects by the New Hampshire Birth Conditions Program, New Hampshire, United States, 2007-2009.

Authors:  Simerpal Gill; Stephanie Miller; Cheryl Broussard; Jennita Reefhuis
Journal:  J Registry Manag       Date:  2012

2.  Developing a public health-tracking system for follow-up of newborn screening metabolic conditions: a four-state pilot project structure and initial findings.

Authors:  Cynthia F Hinton; Cara T Mai; Sarah K Nabukera; Lorenzo D Botto; Lisa Feuchtbaum; Paul A Romitti; Ying Wang; Kimberly Noble Piper; Richard S Olney
Journal:  Genet Med       Date:  2013-12-05       Impact factor: 8.822

3.  A possible model for estimating birth length of babies from common parental variables using a sample of families in Lagos, Nigeria.

Authors:  Idowu Adewumi Taiwo; Adenike Adeleye; Ijeoma Chinwe Uzoma
Journal:  Afr Health Sci       Date:  2021-03       Impact factor: 0.927

  3 in total

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