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Regional Variation in Late Preterm Births in North Carolina

Overview of attention for article published in Maternal and Child Health Journal, February 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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Title
Regional Variation in Late Preterm Births in North Carolina
Published in
Maternal and Child Health Journal, February 2012
DOI 10.1007/s10995-012-0945-7
Pubmed ID
Authors

Sofia R. Aliaga, P. Brian Smith, Wayne A. Price, Thomas S. Ivester, Kim Boggess, Sue Tolleson-Rinehart, Martin J. McCaffrey, Matthew M. Laughon

Abstract

Late preterm (LPT) neonates (34 0/7th-36 6/7th weeks' gestation) account for 70% of all premature births in the United States. LPT neonates have a higher morbidity and mortality risk than term neonates. LPT birth rates vary across geographic regions. Unwarranted variation is variation in medical care that cannot be explained by sociodemographic or medical risk factors; it represents differences in health system performance, including provider practice variation. The purpose of this study is to identify regional variation in LPT births in North Carolina that cannot be explained by sociodemographic or medical/obstetric risk factors. We searched the NC State Center for Health Statistics linked birth-death certificate database for all singleton term and LPT neonates born between 1999 and 2006. We used multivariable logistic regression analysis to control for socio-demographic and medical/obstetric risk factors. The main outcome was the percent of LPT birth in each of the six perinatal regions in North Carolina. We identified 884,304 neonates; 66,218 (7.5%) were LPT. After multivariable logistic regression, regions 2 (7.0%) and 6 (6.6%) had the highest adjusted percent of LPT birth. Analysis of a statewide birth cohort demonstrates regional variation in the incidence of LPT births among NC's perinatal regions after adjustment for sociodemographic and medical risk factors. We speculate that provider practice variation might explain some of the remaining difference. This is an area where policy changes and quality improvement efforts can help reduce variation, and potentially decrease LPT births.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Peru 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 27%
Student > Master 5 11%
Student > Bachelor 4 9%
Lecturer 2 5%
Student > Doctoral Student 2 5%
Other 6 14%
Unknown 13 30%
Readers by discipline Count As %
Medicine and Dentistry 15 34%
Nursing and Health Professions 7 16%
Social Sciences 4 9%
Psychology 3 7%
Agricultural and Biological Sciences 2 5%
Other 2 5%
Unknown 11 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 March 2015.
All research outputs
#2,591,796
of 23,906,448 outputs
Outputs from Maternal and Child Health Journal
#248
of 2,039 outputs
Outputs of similar age
#21,351
of 256,829 outputs
Outputs of similar age from Maternal and Child Health Journal
#1
of 34 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 256,829 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.