Year: 2015
Type: article
Abstract: problem, purposes of the study, research questions, long-term objectives, conceptual framework, conceptual model, theory guiding the study, significance to nursing, and assumptions. BackgroundThe number of preterm births could be reduced significantly if all of the risk factors for predicting preterm births were eliminated.Elimination of the risk factors is not possible unless the risk factors are known and prioritized according to the contributions that each makes towards preterm births.The priority list can be used to target interventions to ameliorate and/or eliminate risk factors.The United States is one of three countries that has the highest number of preterm births per year.Of 3, 953,591 infants born in 2011 in the United States, 11.72% were premature (Hamilton, Martin, Ventura, Centers for Disease, & Prevention, 2012; Kuehn, 2012).Of infants born in 2011 in Ohio, 12.7 % were preterm, compared to 11.72% in the United States overall (Ohio Department of Health, 2012).The increasing incidence of preterm birth infants in Ohio and the United States indicates that factors predicting preterm birth have not been adequately minimized or eliminated.One reason the factors may not have diminished could be lack of identification of the risk factors and lack of knowledge as to which factors make the greatest contribution to preterm birth.Some risk factors for preterm birth have been identified and included in data sets that monitor risks for pregnancy complications and abnormal pregnancy outcomes.One such data set is the United States birth certificate data, but a perusal of the United States birth certificate 2011 suggests that
Author: Napatsawan Kaewluang
Institution: Case Western Reserve University
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W2620829106