Evidence map›Paper›PMID 28521785›Full record

ArticleBMC pregnancy and childbirth2017

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

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

Registry-linked trialAbstract readEvaluation StudyMulticenter Study
In one paragraph

Article in BMC pregnancy and childbirth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02169024 (Development of a Nationally Scalable Model of Group Prenatal Care to Improve Birth Outcomes), which is not on this map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02169024 nacompletednot on this map

Development of a Nationally Scalable Model of Group Prenatal Care to Improve Birth Outcomes: "Expect With Me"

TypeinterventionalSponsorYale UniversityRan2014 to 2017Enrolled2,402ConditionsPregnancy, Premature Birth, Infant, Low Birth Weight, Postpartum PeriodArmsExpect With Me group prenatal care, Standard individual prenatal care
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  10. Psychosocial Factors Associated with Lower Urinary Tract Symptoms One Year Postpartum.International journal of environmental research and public health · 2023
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  17. Associations between Adverse Childhood Experiences and Sexual Risk among Postpartum Women.International journal of environmental research and public health · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Shayna D CunninghamYale School of Public Health, 135 College Street, Room 226, New Haven, CT, 06510, USA. shayna.cunningham@yale.edu.
Jessica B LewisYale School of Public Health, 135 College Street, Room 226, New Haven, CT, 06510, USA.
Jordan L ThomasYale School of Public Health, 135 College Street, Room 226, New Haven, CT, 06510, USA.
Stephanie A GriloYale School of Public Health, 135 College Street, Room 226, New Haven, CT, 06510, USA.
Jeannette R IckovicsYale School of Public Health, 135 College Street, Room 226, New Haven, CT, 06510, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite 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. METHODS/

designExpect 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. DISCUSSION: 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.

trial registrationClinicalTrials.gov, NCT02169024 . Retrospectively registered on June 18, 2014.

Indexed as

Group ProcessesCase-Control StudiesFemaleHumansInformation TechnologyLongitudinal StudiesPregnancyPregnancy OutcomePrenatal CareProgram EvaluationProspective StudiesQuality of Health CareGroup prenatal careImplementation studyInnovationPregnancyPreterm birth

Identifiers

PMID28521785
PMCPMC5437650

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.