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This paper is in the following e-collection/theme issue:

Digital Health Reviews (1819) Consumer & Patient Education and Shared-Decision Making (918) Pregnancy Information, Education and Lifestyle Interventions (419)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37953, first published .
Effectiveness of Interactive Digital Decision Aids in Prenatal Screening Decision-making: Systematic Review and Meta-analysis

Effectiveness of Interactive Digital Decision Aids in Prenatal Screening Decision-making: Systematic Review and Meta-analysis

Effectiveness of Interactive Digital Decision Aids in Prenatal Screening Decision-making: Systematic Review and Meta-analysis

Authors of this article:

Hong Yat Conrad Wong1, 2 Author Orcid Image ;   Saba Asim1 Author Orcid Image ;   Qi Feng3 Author Orcid Image ;   Sherry Xiao-hong Fu1 Author Orcid Image ;   Daljit Singh Sahota4 Author Orcid Image ;   Po Lam So5 Author Orcid Image ;   Dong Dong1, 6 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

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  1. Leng Y, Li T, Xie R, Jiang X, Li C, Nie Z, Liu D, Wang G. Effectiveness of patient decision aids in patients with advanced kidney disease: a meta-analysis based on randomized controlled trials. International Urology and Nephrology 2024;56(10):3295 View
  2. Xing Y, Cai W, Wang A, Yuan Y, Zhang R. Effectiveness of decision aids on critically ill patients' outcomes and family members' knowledge, anxiety, depression and decisional conflict: A systematic review and meta‐analysis. Nursing in Critical Care 2024;29(6):1303 View
  3. Iacoban S, Artyomenko V, Piron-Dumitrascu M, Suciu I, Pavelescu L, Suciu N. Designing the future of prenatal care: an algorithm for a telemedicine-enhanced team-based care model. Journal of Medicine and Life 2024;17(1):50 View
  4. Zhong J, Liang W, Wang T, Chau P, Davies N, Zhao J, Chu H, Lin C. Digital Decision Aids to Support Decision-Making in Palliative and End-of-Life Dementia Care: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2025;27:e71479 View
  5. Kosiv K, Wong B, Anderson R, Carey J. Current prenatal counseling of congenital heart disease in trisomy 18, pediatric cardiologists’ perspective: a Fetal Heart Society Research Collaborative Study. Journal of Perinatology 2026;46(3):377 View
  6. Pavlek L, Armbruster D, Halling C, Hipp K, Jebbia M, Lopata S, Rysavy M, Saliga R, Wilson S, Beaullieu C. Transforming preterm care: The power of small baby guidelines in enhancing outcomes. Seminars in Perinatology 2025;49(7):152155 View
  7. Ahouehome S, Bureau A, Rahimi S, Gadio S, Julien Y, Assan O, Guay-Belanger S, Rousseau F, Forest J, Langlois S, Ravitsky V, Archambault P, Légaré F. Assessment of pregnant women's intention to use a mobile application-based decision aid for prenatal screening for trisomies 21, 18 and 13: A mixed-methods cross-sectional study. Patient Education and Counseling 2026;148:109548 View
  8. Wu Y. Machine Learning‐Based Risk Prediction Models for Pregnancy‐Related Syndromes. Birth Defects Research 2026;118(3) View