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Improving Gestational Weight Gain Counseling Through Meaningful Use of an Electronic Medical Record

Overview of attention for article published in Maternal and Child Health Journal, March 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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1 policy source
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3 X users

Citations

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17 Dimensions

Readers on

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92 Mendeley
Title
Improving Gestational Weight Gain Counseling Through Meaningful Use of an Electronic Medical Record
Published in
Maternal and Child Health Journal, March 2014
DOI 10.1007/s10995-014-1467-2
Pubmed ID
Authors

Sara M. Lindberg, Cynthie K. Anderson

Abstract

The purpose of this study was to test the effectiveness of an intervention to improve the consistency and accuracy of antenatal gestational weight gain counseling through introduction of a "best practice alert" into an electronic medical record (EMR) system. A best practice alert was designed and implemented in the EMR. Based on each patient's pre-gravid body mass index (BMI), fetal number, and 2009 Institute of Medicine (IOM) guidelines, the alert provides an individualized total gestational weight gain goal, the weight gain goal per week of gestation, a template for scripted provider counseling and documentation, and a patient handout containing personalized gestational weight gain information. Retrospective chart reviews of 388 pre-intervention patients and 345 post-intervention patients were used to evaluate effectiveness. Introduction of a gestational weight gain best practice alert into the EMR improved the rate of antenatal gestational weight gain counseling that was consistent with current IOM guidelines (p < 0.001). Improvement in IOM-consistent gestational weight gain counseling was seen across all provider types, including obstetricians, family practice physicians, and certified nurse midwives. The intervention also resulted in significant improvement in documentation of pre-gravid weights and BMIs within the EMR. The EMR is an effective tool for improving the consistency and accuracy of antenatal gestational weight gain counseling in accord with 2009 IOM guidelines.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Turkey 1 1%
Canada 1 1%
Unknown 89 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 13%
Student > Master 11 12%
Researcher 10 11%
Student > Bachelor 10 11%
Student > Doctoral Student 7 8%
Other 25 27%
Unknown 17 18%
Readers by discipline Count As %
Medicine and Dentistry 22 24%
Nursing and Health Professions 19 21%
Psychology 8 9%
Social Sciences 7 8%
Unspecified 6 7%
Other 10 11%
Unknown 20 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 July 2018.
All research outputs
#6,838,548
of 23,906,448 outputs
Outputs from Maternal and Child Health Journal
#671
of 2,039 outputs
Outputs of similar age
#62,433
of 224,314 outputs
Outputs of similar age from Maternal and Child Health Journal
#19
of 44 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
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 gotten more attention than average, scoring higher than 64% 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 224,314 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.