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Expect With Me: development and evaluation design for an innovative model of group prenatal care to improve perinatal outcomes

Overview of attention for article published in BMC Pregnancy and Childbirth, May 2017
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194 Mendeley
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Title
Expect With Me: development and evaluation design for an innovative model of group prenatal care to improve perinatal outcomes
Published in
BMC Pregnancy and Childbirth, May 2017
DOI 10.1186/s12884-017-1327-3
Pubmed ID
Authors

Shayna D. Cunningham, Jessica B. Lewis, Jordan L. Thomas, Stephanie A. Grilo, Jeannette R. Ickovics

Abstract

Despite biomedical advances and intervention efforts, rates of preterm birth and other adverse outcomes in the United States have remained relatively intransigent. Evidence suggests that group prenatal care can reduce these risks, with implications for maternal and child health as well as substantial cost savings. However, widespread dissemination presents challenges, in part because training and health systems have not been designed to deliver care in a group setting. This manuscript describes the design and evaluation of Expect With Me, an innovative model of group prenatal care with a strong integrated information technology (IT) platform designed to be scalable nationally. Expect With Me follows clinical guidelines from the American Congress of Obstetricians and Gynecologists. Expect With Me incorporates the best evidence-based features of existing models of group care with a novel integrated IT platform designed to improve patient engagement and support, enhance health behaviors and decision making, connect providers and patients, and improve health service delivery. A multisite prospective longitudinal cohort study is being conducted to examine the impact of Expect With Me on perinatal and postpartum outcomes, and to identify and address barriers to national scalability. Process and outcome evaluation will include quantitative and qualitative data collection at patient, provider, and organizational levels. Mixed-method data collection includes patient surveys, medical record reviews, patient focus groups; provider surveys, session evaluations, provider focus groups and in-depth interviews; an online tracking system; and clinical site visits. A two-to-one matched cohort of women receiving individual care from each site will provide a comparison group (n = 1,000 Expect With Me patients; n = 2,000 individual care patients) for outcome and cost analyses. By bundling prevention and care services into a high-touch, high-tech group prenatal care model, Expect With Me has the potential to result in fundamental changes to the health care system to meet the "triple aim:" better healthcare quality, improved outcomes, and lower costs. Findings from this study will be used to optimize the dissemination and effectiveness of this model. ClinicalTrials.gov, NCT02169024 . Retrospectively registered on June 18, 2014.

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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 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 194 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 14%
Researcher 20 10%
Student > Bachelor 20 10%
Student > Ph. D. Student 17 9%
Student > Postgraduate 12 6%
Other 42 22%
Unknown 56 29%
Readers by discipline Count As %
Medicine and Dentistry 41 21%
Nursing and Health Professions 30 15%
Social Sciences 17 9%
Psychology 14 7%
Business, Management and Accounting 4 2%
Other 24 12%
Unknown 64 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 May 2017.
All research outputs
#13,860,947
of 22,973,051 outputs
Outputs from BMC Pregnancy and Childbirth
#2,590
of 4,225 outputs
Outputs of similar age
#165,603
of 313,770 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#51
of 78 outputs
Altmetric has tracked 22,973,051 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,225 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 313,770 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.