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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Mar 13, 2022
Date Accepted: Jan 31, 2023

The final, peer-reviewed published version of this preprint can be found here:

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

Wong HYC, Asim S, Feng Q, Fu SXh, Sahota DS, So PL, Dong D

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

J Med Internet Res 2023;25:e37953

DOI: 10.2196/37953

PMID: 36917146

PMCID: 10131906

Effectiveness of Interactive Digital Decision Aids (IDDAs) in Prenatal Screening Decision-Making: A Systematic Review and Meta-Analysis

  • Hong Yat Conrad Wong; 
  • Saba Asim; 
  • Qi Feng; 
  • Sherry Xiao-hong Fu; 
  • Daljit Singh Sahota; 
  • Po Lam So; 
  • Dong Dong

ABSTRACT

Background:

Increasing prenatal screening options and limited consultation time have made it difficult for pregnant women to participate in shared decision making. Interactive digital decision aids (IDDAs) could integrate interactive technology into healthcare to facilitate higher-quality decision-making process.

Objective:

The objective of this study was to assess the effectiveness of IDDAs on pregnant women’s decision-making regarding prenatal screening.

Methods:

We searched CENTRAL, MEDLINE, Embase, PsycINFO, WHO ICTRP, Google Scholar, and reference lists of included studies until August, 2021. We included the randomized controlled trials (RCTs) that compared the use of IDDAs (fulfilling basic criteria of International Patient Decision Aid Standards Collaboration and were interactive and digital) as an adjunct to standard care with standard care alone and involved pregnant women themselves in prenatal screening decision-making. Data on primary outcomes, i.e., knowledge and decisional conflict, and secondary outcomes were extracted and meta-analyses were conducted based on standardized mean differences (SMDs). Subgroup analysis based on knowledge was performed. The Cochrane risk-of-bias tool was used for risk of bias assessment.

Results:

Eight RCTs were identified from 10283 references, of which seven were included in quantitative synthesis. Analyses showed that IDDAs increased knowledge (SMD 0.58, 95% CI 0.26 to 0.90) and decreased decisional conflict (SMD -0.15, 95% CI -0.25 to -0.05). Substantial heterogeneity in knowledge was identified, which could not be completely resolved through subgroup analysis.

Conclusions:

IDDAs can improve certain aspects of decision-making in prenatal screening among pregnant women, but the results require cautious interpretation. Clinical Trial: NA


 Citation

Please cite as:

Wong HYC, Asim S, Feng Q, Fu SXh, Sahota DS, So PL, Dong D

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

J Med Internet Res 2023;25:e37953

DOI: 10.2196/37953

PMID: 36917146

PMCID: 10131906

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