Evidence map›Paper›PMID 31042154›Full record

Trial reportJMIR mHealth and uHealth2019

A Mobile Prenatal Care App to Reduce In-Person Visits: Prospective Controlled Trial.

Kathryn I Marko, Nihar Ganju, Jill M Krapf, Nancy D Gaba, James A Brown, Joshua J Benham, Julia Oh, Lorna M Richards, Andrew C Meltzer

Registry-linked trialOpen access · goldAbstract readPragmatic Clinical Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02914301 (Effectiveness of a Mobile App for Prenatal Care to Safely Reduce In-Person Visits and Improve Patient Satisfaction), which is not on this map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
15.8field-weighted citation impact, top 1% of its field
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.

NCT02914301 nacompletednot on this map

Effectiveness of a Mobile App for Prenatal Care to Safely Reduce In-Person Visits and Improve Patient Satisfaction: Study Protocol for a Multicenter Prospective Quasi-Randomized Trial

TypeinterventionalSponsorAndrew MeltzerRan2015 to 2016Enrolled118ConditionsPregnancyArmsBabyscripts Prenatal App, Placebo
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 78 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Trial
  4. Trial
  5. Review
  6. Use of telehealth did not mitigate persistent disparities in prenatal care access among American Indian women in North Dakota.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Development of a Mobile Health Application Based on a Mixed Prenatal Care in the Context of COVID-19 Pandemic.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2023
    Article
  14. Review
  15. Pregnancy Apps for Self-Monitoring: Scoping Review of the Most Popular Global Apps Available in Australia.International journal of environmental research and public health · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Prenatal Care via Telehealth.Primary care · 2022
    Review
  20. Digitized Prenatal Newsletter: Impact on Obstetric Patient Satisfaction and Loyalty.International journal of environmental research and public health · 2022
    Article
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

9 authors at 4 institutions in 1 country.

Kathryn I MarkoThe George Washington University School of Medicine and Health Sciences, Washington, DC, United States.ORCID 0000-0002-5647-8228
Nihar GanjuThe George Washington University School of Medicine and Health Sciences, Washington, DC, United States.ORCID 0000-0002-8913-662X
Jill M KrapfOB Hospitalist Group, Baylor All-Saints Medical Center, Fort Worth, TX, United States.ORCID 0000-0002-8695-0570
Nancy D GabaThe George Washington University School of Medicine and Health Sciences, Washington, DC, United States.ORCID 0000-0002-0473-6838
James A BrownUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, United States.ORCID 0000-0002-2263-8318
Joshua J BenhamThe George Washington University School of Medicine and Health Sciences, Washington, DC, United States.ORCID 0000-0001-8643-726X
Julia OhThe Jackson Laboratory, Farmington, CT, United States.ORCID 0000-0002-5534-7023
Lorna M RichardsDepartment of Emergency Medicine, George Washington University School of Medicine and Health Sciences, Washington, DC, United States.ORCID 0000-0003-1700-8298
Andrew C MeltzerDepartment of Emergency Medicine, George Washington University School of Medicine and Health Sciences, Washington, DC, United States.ORCID 0000-0001-5971-8314
George Washington University · USBaylor Scott & White All Saints Medical Center · USJackson Laboratory · USUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisk-appropriate prenatal care has been asserted as a way for the cost-effective delivery of prenatal care. A virtual care model for prenatal care has the potential to provide patient-tailored, risk-appropriate prenatal educational content and may facilitate vital sign and weight monitoring between visits. Previous studies have demonstrated a safe reduction in the frequency of in-person prenatal care visits among low-risk patients but have noted a reduction in patient satisfaction.

objectiveThe primary objective of this study was to test the effectiveness of a mobile prenatal care app to facilitate a reduced in-person visit schedule for low-risk pregnancies while maintaining patient and provider satisfaction.

methodsThis controlled trial compared a control group receiving usual care with an experimental group receiving usual prenatal care and using a mobile prenatal care app. The experimental group had a planned reduction in the frequency of in-person office visits, whereas the control group had the usual number of visits. The trial was conducted at 2 diverse outpatient obstetric (OB) practices that are part of a single academic center in Washington, DC, United States. Women were eligible for enrollment if they presented to care in the first trimester, were aged between 18 and 40 years, had a confirmed desired pregnancy, were not considered high-risk, and had an iOS or Android smartphone that they used regularly. We measured the effectiveness of a virtual care platform for prenatal care via the following measured outcomes: the number of in-person OB visits during pregnancy and patient satisfaction with prenatal care.

resultsA total of 88 patients were enrolled in the study, 47 in the experimental group and 41 in the control group. For patients in the experimental group, the average number of in-person OB visits during pregnancy was 7.8 and the average number in the control group was 10.2 (P=.01). There was no statistical difference in patient satisfaction (P>.05) or provider satisfaction (P>.05) in either group.

conclusionsThe use of a mobile prenatal care app was associated with reduced in-person visits, and there was no reduction in patient or provider satisfaction.

trial registrationClinicalTrials.gov NCT02914301; https://clinicaltrials.gov/ct2/show/NCT02914301 (Archived by WebCite at http://www.webcitation.org/76S55M517).

Indexed as

AdultDistrict of ColumbiaFemaleHouse CallsHumansMobile ApplicationsParentingPatient SatisfactionPregnancyPregnancy Trimester, FirstPrenatal CareProspective Studiescontrolled clinical trialmobile applicationsmobile healthpatient monitoringpatient safetypatient satisfactionprenatal caretechnological innovations

Identifiers

PMID31042154
PMCPMC6658303
OpenAlexW2913044533

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.