Accepted for/Published in: JMIR Serious Games
Date Submitted: Jan 21, 2022
Date Accepted: Oct 11, 2022
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
The effects of virtual reality in maternity delivery: a systematic review and meta-analysis
ABSTRACT
Background:
As an emerging non-pharmacological method of analgesia, there are no uniform conclusions on the effect of virtual reality (VR) technology in labor.
Objective:
Exploring the effectiveness of VR technology in maternal delivery.
Methods:
Search strategy: We searched Pubmed, Embase, Web of Science, the Cochrane Library, CINAHL, China National Knowledge Infrastructure, Wan-Fang database from building to November 17, 2021. Selection Criteria: Randomized controlled trials (RCTs) that intervened the pregnant women aged 18-35 years with gestational age>34 weeks and without complications with VR technology were contained within this review. Data Collection and Analysis: Two researchers completed the study selection, data extraction, and assessment of study quality. MD or SMD used for quantitative data, and RR (risk ratio) for qualitative data. Random-effects model and 95% confidence interval (95% CI) were used.
Results:
12 studies were included. Using VR could relieve pain during labor (MD=-1.81, 95% CI (-2.04, -1.57), P< 0.00001) and active period (SMD=-0.41, 95% CI (-0.68, -0.14), P= 0.003), reduce anxiety (SMD=-1.39, 95% CI (-1.99, -0.78), P< 0.00001) and improve satisfaction with delivery (RR = 1.32; 95% CI (1.10, 1.59); P = 0.003), but the effect on the duration of first (SMD=-1.12, 95% CI (-2.38, 0.13), P=0.08) and second (SMD=-0.22, 95% CI (-0.67, 0.24), P=0.35) stage of labor was not statistically significant.
Conclusions:
Compared with conventional care, VR technology can relieve labor pain and anxiety and improve satisfaction. However, extensive experimental validation is still needed.
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