Evidence map›Paper›PMID 35168981›Full record

SynthesisBMJ open2022

Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review.

Jennifer Lisa Sakamoto, Rogie Royce Carandang, Madhu Kharel, Akira Shibanuma, Ekaterina Yarotskaya, Milana Basargina, Masamine Jimba

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 5 pooled it
13.4field-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.

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

31 citing papers in PubMed, 5 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Observational
  17. Article
  18. Article
  19. Article
  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

7 authors at 3 institutions in 3 countries.

Jennifer Lisa SakamotoDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan jlsakamoto@m.u-tokyo.ac.jp.ORCID 0000-0003-3444-1851
Rogie Royce CarandangDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-6668-911X
Madhu KharelDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-0158-694X
Akira ShibanumaDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-2058-1722
Ekaterina YarotskayaNational Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I.Kulakov of the Ministry of Health of the Russian Federation, Moscow, Russian Federation.
Milana BasarginaDepartment of Neonatal Pathology, National Medical Research Center for Children's Health, Moscow, Russian Federation.
Masamine JimbaDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-5659-3237
The University of Tokyo · JPCenter for Children · USNational Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of the Russian Federation · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the roles of mobile health, or mHealth, in the psychosocial health of pregnant women and mothers.

methodsA systematic search was conducted in databases and grey literature including MEDLINE, Web of Science, CINAHL, PsycINFO, PsycARTICLES, Academic Search Complete, SocINDEX, Central Register of Controlled Trials, The Database of Abstracts of Reviews of Effects, NHS Economic Evaluation Database, Health Technology Assessment, UNICEF and WHO databases. Two searches were conducted to include original research articles published in English until 15 November 2021. Several tools were used to assess the risk of bias: revised Cochrane risk of bias tool for randomised trials, Risk of Bias in Non-randomized Studies of Interventions, National Heart, Lung, and Blood Institute quality assessment tool for cohort and cross-sectional studies, Critical Appraisal Skills Program checklist for qualitative studies and Mixed Methods Appraisal Tool for mixed-methods studies. Certainty of evidence was assessed using Grading of Recommendations Assessment, Development and Evaluation approach. Due to the high heterogeneity and variability of the included studies, data synthesis was conducted narratively.

results44 studies were included among 11 999 identified articles. Most studies reported mixed findings on the roles of mHealth interventions in the psychosocial health of pregnant women and mothers; mHealth improved self-management, acceptance of pregnancy/motherhood and social support, while mixed results were observed for anxiety and depressive symptoms, perceived stress, mental well-being, coping and self-efficacy. Furthermore, pregnant women and mothers from vulnerable populations benefited from the use of mHealth to improve their psychosocial health.

conclusionsThe findings suggest that mHealth has the potential to improve self-management, acceptance of pregnancy/motherhood and social support. mHealth can also be a useful tool to reach vulnerable pregnant women and mothers with barriers to health information and facilitate access to healthcare services. However, the high heterogeneity limited the certainty of evidence of these findings. Therefore, future studies should identify the context under which mHealth could be more effective.

Indexed as

MothersTelemedicineCross-Sectional StudiesFemaleHumansMental HealthPregnancyPregnant Peopleadult psychiatryeducation & training (see medical education & training)international health servicesmaternal medicinemental healthpublic health

Identifiers

PMID35168981
PMCPMC8852716
OpenAlexW4213135001

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.