ArticleBMC health services research2018
Impacts of online and group perinatal education: a mixed methods study protocol for the optimization of perinatal health services.
Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed, 24 citations in OpenAlex.
- Perinatal Women's Perception of Maternal Health Information Quality on Digital Media: Scoping Review.Journal of medical Internet research · 2025Article
- Improving Online Childbirth Education: A Role for Active Learning.The Journal of perinatal education · 2024Article
- The importance of online childbirth preparation courses.European journal of midwifery · 2024Article
- Mobile Prenatal Education and Its Impact on Reducing Adverse Pregnancy Outcomes: Retrospective Real-World Study.JMIR mHealth and uHealth · 2023Article
- Article
- Present Situation and the Future Development of Web-Based Prenatal Education in China: Cross-sectional Web-Based Survey.Journal of medical Internet research · 2022Article
- Development of two instruments for assessing maternity health needs: protocol of a clinimetric study.BMC pregnancy and childbirth · 2020Article
- Causal links to missed Australian midwifery care: What is the evidence?European journal of midwifery · 2020Article
Corrections and comments
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Authors and funding
17 authors at 8 institutions in 1 country.
Funding
Abstract
backgroundPrenatal education is a core component of perinatal care and services provided by health institutions. Whereas group prenatal education is the most common educational model, some health institutions have opted to implement online prenatal education to address accessibility issues as well as the evolving needs of future parents. Various studies have shown that prenatal education can be effective in acquisition of knowledge on labour and delivery, reducing psychological distress and maximising father's involvement. However, these results may depend on educational material, organization, format and content. Furthermore, the effectiveness of online prenatal education compared to group prenatal education remains unclear in the literature. This project aims to evaluate the impacts of group prenatal education and online prenatal education on health determinants and users' health status, as well as on networks of perinatal educational services maintained with community-based partners.
methodsThis multipronged mixed methods study uses a collaborative research approach to integrate and mobilize knowledge throughout the process. It consists of: 1) a prospective cohort study with quantitative data collection and qualitative interviews with future and new parents; and 2) a multiple case study integrating documentary sources and interviews with stakeholders involved in the implementation of perinatal information service networks and collaborations with community partners. Perinatal health indicators and determinants will be compared between prenatal education groups (group prenatal education and online prenatal education) and standard care without these prenatal education services (control group). DISCUSSION: This study will provide knowledge about the impact of online prenatal education as a new technological service delivery model compared to traditional group prenatal education. Indicators related to the complementarity of these interventions and those available in community settings will refine our understanding of regional perinatal services networks. Results will assist decision-making regarding service organization and delivery models of prenatal education services. PROTOCOL VERSION: Version 1 (February 9 2018).
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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.