Evidence map›Paper›PMID 33852002›Full record

ArticleJAMA network open2021

Comparison Between In-Person and Audio-Only Virtual Prenatal Visits and Perinatal Outcomes.

Elaine L Duryea, Emily H Adhikari, Anne Ambia, Catherine Spong, Donald McIntire, David B Nelson

Abstract readComparative Study
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Reasons for Not Pursuing Virtual Prenatal Care in 2020 Through 2021 and Policy Implications.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2023
    Article
  19. Review
  20. 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

6 authors.

Elaine L DuryeaDepartment of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas.
Emily H AdhikariDepartment of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas.
Anne AmbiaDepartment of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas.
Catherine SpongDepartment of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas.
Donald McIntireDepartment of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas.
David B NelsonDepartment of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Ensuring access to prenatal care services in the US is challenging, and implementation of telehealth options was limited before the COVID-19 pandemic, especially in vulnerable populations, given the regulatory requirements for video visit technology. Objective: To explore the association of audio-only virtual prenatal care with perinatal outcomes. Design, Setting, and Participants: This cohort study compared perinatal outcomes of women who delivered between May 1 and October 31, 2019 (n = 6559), and received in-person prenatal visits only with those who delivered between May 1 and October 31, 2020 (n = 6048), when audio-only virtual visits were integrated into prenatal care during the COVID-19 pandemic, as feasible based on pregnancy complications. Parkland Health and Hospital System in Dallas, Texas, provides care to the vulnerable obstetric population of the county via a high-volume prenatal clinic system and public maternity hospital. All deliveries of infants weighing more than 500 g, whether live or stillborn, were included. Exposures: Prenatal care incorporating audio-only prenatal care visits. Main Outcomes and Measures: The primary outcome was a composite of placental abruption, stillbirth, neonatal intensive care unit admission in a full-term (≥37 weeks) infant, and umbilical cord blood pH less than 7.0. Visit data, maternal characteristics, and other perinatal outcomes were also examined. Results: The mean (SD) age of the 6559 women who delivered in 2019 was 27.8 (6.4) years, and the age of the 6048 women who delivered in 2020 was 27.7 (6.5) years (P = .38). Of women delivering in 2020, 1090 (18.0%) were non-Hispanic Black compared with 1067 (16.3%) in 2019 (P = .04). In the 2020 cohort, 4067 women (67.2%) attended at least 1 and 1216 women (20.1%) attended at least 3 audio-only virtual prenatal visits. Women who delivered in 2020 attended a greater mean (SD) number of prenatal visits compared with women who delivered in 2019 (9.8 [3.4] vs 9.4 [3.8] visits; P < .001). In the 2020 cohort, 173 women (2.9%) experienced the composite outcome, which was not significantly different than the 195 women (3.0%) in 2019 (P = .71). In addition, the rate of the composite outcome did not differ substantially when examined according to the number of audio-only virtual visits attended. Conclusions and Relevance: Implementation of audio-only virtual prenatal visits was not associated with changes in perinatal outcomes and increased prenatal visit attendance in a vulnerable population during the COVID-19 pandemic when used in a risk-appropriate model.

Indexed as

COVID-19AdultAmbulatory CareDelivery, ObstetricFemaleHumansPregnancyPregnancy ComplicationsPregnancy OutcomePrenatal CareSARS-CoV-2TelemedicineTexas

Identifiers

PMID33852002
PMCPMC8047732

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.