Evidence map›Paper›PMID 33576146›Full record

ArticleJournal of midwifery & women's health2021

A Group Videoconference Intervention for Reducing Perinatal Depressive Symptoms: A Telehealth Pilot Study.

Gwen Latendresse, ElLois Bailey, Eli Iacob, Hannah Murphy, Ryoko Pentecost, Nancy Thompson, Carol Hogue

Abstract read
In one paragraph

Article in Journal of midwifery & women's health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Review
  7. Informatics Interventions for Maternal Morbidity: Scoping Review.Interactive journal of medical research · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. A Mindfulness Application for Reducing Prenatal Stress.Journal of midwifery & women's health · 2022
    Article
  12. Article
  13. Perinatal Telehealth: Meeting Patients Where They Are.Journal of midwifery & women's health
    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

7 authors.

Gwen LatendresseCollege of Nursing, University of Utah, Salt Lake City, Utah.ORCID 0000-0001-8189-8235
ElLois BaileyCollege of Nursing, University of Utah, Salt Lake City, Utah.
Eli IacobCollege of Nursing, University of Utah, Salt Lake City, Utah.
Hannah MurphyCollege of Nursing, University of Utah, Salt Lake City, Utah.
Ryoko PentecostCollege of Nursing, University of Utah, Salt Lake City, Utah.
Nancy ThompsonRollns School of Public Health, Emory University, Atlanta, Georgia.
Carol HogueRollns School of Public Health, Emory University, Atlanta, Georgia.

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Randomized trial of telehealth group intervention to reduce perinatal depressive symptoms in diverse populationsR01NR017620 · NINR · UNIVERSITY OF UTAH · PI LATENDRESSE, GWEN A · 2019 to 2021
$1.5M
NCATS NIH HHS UL1 TR002538NINR NIH HHS R01 NR017620
6 · The paper itself

Abstract

introductionPerinatal depression occurs in 12% to 18% of childbearing women. Telehealth is a promising platform for delivering perinatal mental health care, particularly during a pandemic when in-person services have been significantly curtailed. However, there is little research to document the feasibility of telehealth to address perinatal depression. This pilot study evaluated the feasibility and preliminary results of an 8-week facilitated group videoconference intervention.

methodsThe study enrolled pregnant and postpartum women into an 8-week group mindfulness-based cognitive behavioral intervention, delivered via videoconference platform. Women receiving care at outpatient clinics who either screened positive for perinatal depression symptoms or had risk factors predictive of perinatal depression were invited to participate. Women attended weekly one-hour group sessions using their own electronic device and completed the Edinburgh Postnatal Depression Scale (EPDS) at several time points. Session attendance and survey completion rates were evaluated.

resultsA total of 47 women enrolled (8 postpartum; 39 prenatal) into groups of 4 to 6. Twenty-four (51.1%) women were currently experiencing mild to moderate perinatal depression symptoms (EPDS score of 10-20), whereas 23 (48.9%) women had EPDS scores less than 10 but were at high risk for developing perinatal depression due to health history and significant life events. Seventy percent of women attended at least 5 of the 8 sessions. Trajectories of EPDS measures were promising (ie, downward among those with current perinatal depression symptoms and stable among those at high risk for developing perinatal depression). DISCUSSION: These observational results are promising, suggesting further study of effectiveness for women with symptoms of perinatal depression, as well as for women at high risk for developing perinatal depression. Randomized trials could evaluate the effectiveness of the intervention, compared with standard of care approaches. Telehealth interventions can be tailored to meet the needs of different communities, and increase access to care, regardless of where women live or inability to receive in-person services.

Indexed as

AdultCognitive Behavioral TherapyDepressionDepression, PostpartumDepressive DisorderFemaleHumansPerinatal CarePilot ProjectsPostpartum PeriodPregnancyPrenatal CarePsychiatric Status Rating ScalesPsychotherapy, GroupRisk FactorsSurveys and Questionnairesperinatal depression

Identifiers

PMID33576146
PMCPMC8684833

What OpenQuestion holds

Textmetadata
LicenceTDM
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.