Effects of non-pharmacological coping strategies for reducing labor pain: A systematic review and network meta-analysis.

Abstract

BACKGROUND:

Facilitating the childbirth process is a global issue. Many strategies have been developed to cope with labor pain and improve the delivery experience and satisfaction of pregnant women. The results of different types of medical intervention on women's expectant pain have been varied. Therefore, this systematic review was aimed at summarizing the body of evidence regarding the effects of various non-pharmacological coping strategies for reducing labor pain.

METHODS:

The review was conducted according to guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). We systematically searched the articles published between 1989 and 2020 in six electronic databases: PubMed, MEDLINE, CINAHL, WOS, PsycARTICLES, and Airiti Library, and the reference lists of the Clinical Trial Registry. Twenty studies were identified, with eight eligible studies included in the Bayesian network meta-analysis.

RESULTS:

Eight studies with 713 participants were included in the meta-analysis with nine different non-pharmacological strategies for reducing labor pain. The traditional meta-analysis demonstrated that the non-pharmacological coping strategies were effective in reducing labor pain. Of these interventional strategies, the ranking probabilities analysis of the network meta-analysis suggested that the Bonapace Method may be the most effective strategy in reducing labor pain, followed by acupressure.

CONCLUSIONS:

Non-pharmacological coping strategies can reduce labor pain while maintaining an effective and satisfactory delivery experience. This systematic review, by synthesizing the body of evidence, demonstrated that non-pharmacological coping strategies are effective in reducing labor pain. Furthermore, as demonstrated in the network meta-analysis, the Bonapace Method, modulating birth pain by involving the father, is the most effective non-pharmacological intervention for reducing labor pain.

• Authors: Ching-Yi Chang, Meei-Ling Gau, Chi-Jung Huang, Hao-Min Cheng
• Journal: PloS one (PLoS One) Vol. 17 Issue 1 Pg. e0261493 ( 2022) ISSN: 1932-6203 [Electronic] United States
• PMID: 35061717 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't, Meta-Analysis, Systematic Review)

Topics

• Female
• Humans
• Pregnancy
• Labor Pain (therapy)
• Network Meta-Analysis