Evidence map›Paper›PMID 35404257›Full record

SynthesisJournal of medical Internet research2022

Effectiveness of Digital Interventions for Preventing Alcohol Consumption in Pregnancy: Systematic Review and Meta-analysis.

Sarah Soyeon Oh, Jong Youn Moon, Doukyoung Chon, Carol Mita, Jourdyn A Lawrence, Eun-Cheol Park, Ichiro Kawachi

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Observational
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Magnetic resonance imaging of the monkey fetal brain in utero.Investigative magnetic resonance imaging · 2022
    Article
  15. Digital Treatment Paths for Substance Use Disorders (SUDs).International journal of environmental research and public health · 2022
    Article
  16. 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.

Sarah Soyeon OhDepartment of Social & Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA, United States.ORCID 0000-0001-5709-2311
Jong Youn Moon *Department of Preventive Medicine, Gachon University College of Medicine, Incheon, Republic of Korea.ORCID 0000-0001-5278-6816
Doukyoung ChonCenter for Public Health, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea.ORCID 0000-0003-4296-349X
Carol MitaResearch and Instruction Services, Countway Library of Medicine, Harvard Medical School, Boston, MA, United States.ORCID 0000-0003-3059-1369
Jourdyn A LawrenceFrançois-Xavier Bagnoud Center for Health and Human Rights, Harvard University, Boston, MA, United States.ORCID 0000-0003-4162-9860
Eun-Cheol ParkInstitute of Health Services Research, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-2306-5398
Ichiro Kawachi *Department of Social & Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA, United States.ORCID 0000-0002-1340-0981

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlcohol consumption in pregnancy has been associated with serious fetal health risks and maternal complications. While previous systematic reviews of digital interventions during pregnancy have targeted smoking cessation and flu vaccine uptake, few studies have sought to evaluate their effectiveness in preventing alcohol consumption during pregnancy.

objectiveThis systematic review aims to assess (1) whether digital interventions are effective in preventing alcohol consumption during the pregnancy/pregnancy-planning period, and (2) the differential effectiveness of alternative digital intervention platforms (ie, computers, mobiles, and text messaging services).

methodsPubMed, Embase, CINAHL, and Web of Science were searched for studies with digital interventions aiming to prevent alcohol consumption among pregnant women or women planning to become pregnant. A random effects primary meta-analysis was conducted to estimate the combined effect size and extent to which different digital platforms were successful in preventing alcohol consumption in pregnancy.

resultsSix studies were identified and included in the final review. The primary meta-analysis produced a sample-weighted odds ratio (OR) of 0.62 (95% CI 0.42-0.91; P=.02) in favor of digital interventions decreasing the risk of alcohol consumption during pregnancy when compared to controls. Computer/internet-based interventions (OR 0.59, 95% CI 0.38-0.93) were an effective platform for preventing alcohol consumption. Too few studies of text messaging (OR 0.29, 95% CI 0.29-2.52) were available to draw a conclusion.

conclusionsOverall, our review highlights the potential for digital interventions to prevent alcohol consumption among pregnant women and women planning to become pregnant. Considering the advantages of digital interventions in promoting healthy behavioral changes, future research is necessary to understand how certain platforms may increase user engagement and intervention effectiveness to prevent women from consuming alcohol during their pregnancies.

Indexed as

Smoking CessationText MessagingAlcohol DrinkingFemaleHumansPregnancyPregnant PeoplePrenatal Carealcoholalcohol consumptioncomputer-based interventiondigital healthdigital interventionfetal alcohol spectrum disordersfetal alcohol syndromeinternet-based interventionmeta-analysismHealthmobile healthmotherpregnancysystematic reviewtext messagetext messaging

Identifiers

PMID35404257
PMCPMC9039809

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.