Trial reportBMC primary care2023
Uptake of signposting to web-based resources: pregnant women's use of a preventive web-based intervention.
Trial report in BMC primary care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04129359 (FamilieTrivsel i Almen Praksis), which is not on this map. Cited by 3 papers.
What it found
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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.
FamilieTrivsel i Almen Praksis: A General Practice-based Cluster-randomised Trial of the Impact of the Resilience Programme on Early Child Development
Who cites it
3 citing papers in PubMed.
- "Remember One Size Doesn't Fit All": A Scoping Review of Postpartum Supports for Neurodivergent Mothers.Maternal and child health journal · 2025Article
- Internet-Based Interventions for Preventing Premature Birth Among Pregnant Women: Systematic Review.JMIR pediatrics and parenting · 2024Review
- Clinicians' experiences in signposting an online mental health resource to expectant mothers: a qualitative study.BMC pregnancy and childbirth · 2023Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSignposting to web-based interventions is becoming increasingly popular in primary care. Most resources are focused on individuals with clinical problems, but less is known about the uptake of general practice (GP) signposted web-based interventions. GPs in Denmark are responsible for scheduled preventive care during pregnancy and the child's first five years. In the "Family Well-being in General Practice" trial the web-based intervention "Resilientchild.dk" is introduced at these consultations. Resilientchild.dk is designed to improve the capacity of parents to understand the mental state of themselves, their partners, and their children. In this study we assess the uptake and use of this web-based intervention.
objectiveTo describe participant and practice characteristics associated with the use of a web-based psychoeducational intervention. Eligible participants were pregnant women presenting at their first antenatal assessment, usually around 6-10 gestational weeks.
methodsThe study was nested in a cluster randomised trial of resilientchild.dk. We conducted a relative importance analysis, which allows for determination of the variables most strongly associated with website use. To assess the direction and magnitude of the influences of the identified variables, we applied multinomial generalized linear mixed modelling. A practice random effect allows us to account for clustering of women within practices.
resultsParity and the absence of a nurse or midwife in the practice were important factors driving a decrease in the likelihood of using resilientchild.dk. Being a student or living outside the capital city were important factors driving an increase in the likelihood of using resilientchild.dk.
conclusionThe data offer unique opportunities to assess the utilisation of a web-based mental health-promotion intervention following advice from a clinician. This study draws conclusions about which patients are likely to access similar resources and which practice characteristics encourage their use.
trial registrationRegistered in clinicaltrials.gov, Trial number: NCT04129359 Date of registration: 16/10/2019 ( https://clinicaltrials.gov/ct2/show/NCT04129359 ).
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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.