Trial reportJournal of medical Internet research2014
Reducing alcohol use during pregnancy via health counseling by midwives and internet-based computer-tailored feedback: a cluster randomized trial.
Trial report in Journal of medical Internet research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 7 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
30 citing papers in PubMed, 7 syntheses or guidelines pooled it, 65 citations in OpenAlex.
- Psychosocial and medication interventions to stop or reduce alcohol consumption during pregnancy.The Cochrane database of systematic reviews · 2024Pooled it
- Effectiveness of brief alcohol interventions for pregnant women: a systematic literature review and meta-analysis.BMC pregnancy and childbirth · 2023Pooled it
- Effectiveness of Digital Interventions for Preventing Alcohol Consumption in Pregnancy: Systematic Review and Meta-analysis.Journal of medical Internet research · 2022Pooled it
- eHealth Interventions to Treat Substance Use in Pregnancy: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2021Pooled it
- Use of Decision Support Tools to Empower Pregnant Women: Systematic Review.Journal of medical Internet research · 2020Pooled it
- Identifying Effective Behavior Change Techniques for Alcohol and Illicit Substance Use During Pregnancy: A Systematic Review.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2019Pooled it
- Pooled it
- Design, implementation and evaluation of a web-based computer-tailored intervention to prevent binge drinking in adolescents: study protocol.BMC public health · 2018Trial
- A Web-Based Computer-Tailored Alcohol Prevention Program for Adolescents: Cost-Effectiveness and Intersectoral Costs and Benefits.Journal of medical Internet research · 2016Trial
- A scoping review of digital technologies in antenatal care: recent progress and applications of digital technologies.BMC pregnancy and childbirth · 2025Article
- Patient engagement practice within perinatal eHealth: A scoping review.Nursing open · 2023Article
- Evaluating effects of IBEM-U on decreasing alcohol consumption and heavy episodic drinking among university students in Colombia: Protocol for a randomized control trial.Contemporary clinical trials communications · 2023Article
- Leveraging Digital Technology to Support Pregnant and Early Parenting Women in Recovery from Addictive Substances: A Scoping Review.International journal of environmental research and public health · 2023Article
- The Effects of a Web-Based Intervention to Reduce Alcohol Consumption Among Middle-Aged Women: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2023Article
- Piloting a complex intervention to promote a tobacco and alcohol-free pregnancy: the Smoke and Alcohol Free with EHealth and Rewards (SAFER) pregnancy study.BMC pregnancy and childbirth · 2023Article
- Reducing Prenatal Alcohol Exposure and the Incidence of FASD: Is the Past Prologue?Alcohol research : current reviews · 2023Review
- Women's views on moderate and low alcohol consumption: stages of the subjective transition from pregnancy to postpartum.BMC pregnancy and childbirth · 2022Article
- Maternal Smoking, Alcohol and Recreational Drug Use and the Risk of SIDS Among a US Urban Black Population.Frontiers in pediatrics · 2022Article
- A Scoping Review of Computer-Based and Telecommunication Technology Interventions to Address Drug and Alcohol Misuse and Smoking in Women.Substance use & misuse · 2022Article
- An Animation- Versus Text-Based Computer-Tailored Game Intervention to Prevent Alcohol Consumption and Binge Drinking in Adolescents: Study Protocol.International journal of environmental research and public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEffective interventions are needed to reduce neurobehavioral impairments in children due to maternal alcohol use during pregnancy. Currently, health-counseling interventions have shown inconsistent results to reduce prenatal alcohol use. Thus, more research using health counseling is needed to gain more knowledge about the effectiveness of this type of intervention on reducing alcohol use during pregnancy. An alternative and promising strategy is computer tailoring. However, to date, no study has shown the effectiveness of this intervention mode.
objectiveThe aim was to test the effectiveness of health counseling and computer tailoring on stopping and reducing maternal alcohol use during pregnancy in a Dutch sample of pregnant women using alcohol.
methodsA total of 60 Dutch midwifery practices, randomly assigned to 1 of 3 conditions, recruited 135 health counseling, 116 computer tailoring, and 142 usual care respondents from February to September 2011. Health-counseling respondents received counseling from their midwife according to a health-counseling protocol, which consisted of 7 steps addressed in 3 feedback sessions. Computer-tailoring respondents received usual care from their midwife and 3 computer-tailored feedback letters via the Internet. Usual care respondents received routine alcohol care from their midwife. After 3 and 6 months, we assessed the effect of the interventions on alcohol use.
resultsMultilevel multiple logistic regression analyses showed that computer-tailoring respondents stopped using alcohol more often compared to usual care respondents 6 months after baseline (53/68, 78% vs 51/93, 55%; P=.04). Multilevel multiple linear regression analyses showed that computer-tailoring respondents (mean 0.35, SD 0.31 units per week) with average (P=.007) or lower (P<.001) alcohol use before pregnancy or with average (P=.03) or lower (P=.002) social support more strongly reduced their alcohol use 6 months after baseline compared to usual care respondents (mean 0.48, SD 0.54 units per week). Six months after baseline, 72% (62/86) of the health-counseling respondents had stopped using alcohol. This 17% difference with the usual care group was not significant.
conclusionsThis is the first study showing that computer tailoring can be effective to reduce alcohol use during pregnancy; health counseling did not effectively reduce alcohol use. Future researchers developing a health-counseling intervention to reduce alcohol use during pregnancy are recommended to invest more in recruitment of pregnant women and implementation by health care providers. Because pregnant women are reluctant to disclose their alcohol use to health professionals and computer tailoring preserves a person's anonymity, this effective computer-tailoring intervention is recommended as an attractive intervention for pregnant women using alcohol.
trial registrationDutch Trial Register NTR 2058; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2058 (Archived by WebCite at http://www.webcitation.org/6NpT1oHol).
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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.