Trial reportPsychiatric services (Washington, D.C.)2018
A Mobile Application for Monitoring and Management of Depressed Mood in a Vulnerable Pregnant Population.
Trial report in Psychiatric services (Washington, D.C.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 10 of them syntheses that pooled 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.
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.
Who cites it
43 citing papers in PubMed, 10 syntheses or guidelines pooled it, 80 citations in OpenAlex.
- Digital and repetitive transcranial magnetic stimulation interventions for perinatal depression and anxiety: a systematic review.BMC psychiatry · 2026Pooled it
- Mobile health apps for pregnant women usability and quality rating scales: a systematic review.BMC pregnancy and childbirth · 2024Pooled it
- Technologies Applied to the Mental Health Care of Pregnant Women: A Systematic Literature Review.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2023Pooled it
- Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review.BMJ open · 2022Pooled it
- A systematic review of mHealth application interventions for peripartum mood disorders: trends and evidence in academia and industry.Archives of women's mental health · 2021Pooled it
- A Systematic Review of Technology-Based Prevention and Treatment Interventions for Perinatal Depression and Anxiety in Latina and African American Women.Maternal and child health journal · 2021Pooled it
- Mobile interventions targeting common mental disorders among pregnant and postpartum women: An equity-focused systematic review.PloS one · 2021Pooled it
- Use of Decision Support Tools to Empower Pregnant Women: Systematic Review.Journal of medical Internet research · 2020Pooled it
- Measuring Psychiatric Symptoms Remotely: a Systematic Review of Remote Measurement-Based Care.Current psychiatry reports · 2018Pooled it
- Telehealth and maternal referral services: A systematic review and meta-analysis.Women's health (London, England)Pooled it
- The FemTech revolution: Unlocking the potential of new technology for optimizing pregnancy outcomes in low- and middle-income countries and remote areas.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- HappyMums mobile application study protocol: use of a smartphone application to gather data predictive of antenatal depression.BMJ open · 2026Observational
- Maternal and fetal health status assessment by using machine learning on optical 3D body scans.Medical & biological engineering & computing · 2026Article
- mHealth apps for maternal mental well-being among pregnant and postpartum women: a systematic review.mHealth · 2026Review
- Informatics Interventions for Maternal Morbidity: Scoping Review.Interactive journal of medical research · 2025Review
- A scoping review of digital technologies in antenatal care: recent progress and applications of digital technologies.BMC pregnancy and childbirth · 2025Article
- Dropping out of a peripartum depression mHealth study: participants' motives and suggestions for improvement.BMC medical research methodology · 2025Article
- Prenatal mobile applications reported in the scientific literature: a scoping review.Revista da Escola de Enfermagem da U S P · 2025Article
- Systematic review and meta-analysis of adverse events in clinical trials of mental health apps.NPJ digital medicine · 2024Article
- Top-funded companies offering digital health interventions for the prevention and treatment of depression: a systematic market analysis.Archives of public health = Archives belges de sante publique · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
objectiveThis study tested whether a mood tracking and alert (MTA) mobile application (app) improved mental health care delivery in a high-risk obstetric population.
methodsPregnant women with depressive symptomatology at <32 weeks gestation were followed for eight weeks after randomization to a control patient portal (PP) app alone or with the MTA app. The MTA app monitored activity, assessed mood, and alerted obstetric providers of signs of worsening mood.
resultsSeventy-two women enrolled (PP, N=24; MTA, N=48). MTA users had significantly more contacts addressing mental health, and as gestational age increased, they rated ability to manage their own health significantly better than women in the control group. Women who received telephone contact from a provider triggered by an MTA app alert were significantly more likely to receive a mental health specialist referral.
conclusionsA mobile MTA app improved service delivery and patient engagement among patients with perinatal depression symptoms.
Indexed as
Identifiers
What OpenQuestion holds
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.