Associations between maternal characteristics and women's responses to acupuncture during labour: a secondary analysis from a randomised controlled trial

The requested reference [156c3d625a43d01f09a7f300654fb6fc8c36689c] no longer exists in our database. It has been replaced by the current reference: [78aa7070e86b3911a58cde072b2f3b7f6132c9fd]

Authors
Category Primary study
JournalACUPUNCTURE IN MEDICINE
Year 2017
Background Patient characteristics are modulators of pain experience after acupuncture treatment for chronic pain. Whether this also applies to labour pain is unknown. Aim To examine for associations between maternal characteristics and response to acupuncture in terms of labour pain intensity in close proximity to the treatment (within 60 min) and over a longer time period (up to 240 min), and whether or not epidural analgesia is used, before and after adjustment for obstetric status upon admission to the labour ward. Methods Cohort study (n=253) using data collected for a randomised controlled trial. Associations were examined using linear mixed models and logistic regression analyses. Tests of interactions were also applied to investigate whether maternal characteristics were influenced by treatment group allocation. Results In close proximity to the treatment, advanced age and cervical dilation were associated with lower pain scores (mean difference (MD) -13.2, 95% CI -23.4 to -2.9; and MD -5.0, 95% CI -9.6 to -0.5, respectively). For the longer time period, labour pain was negatively associated with age (MD -11.8, 95% CI -19.6 to -3.9) and positively associated with dysmenorrhoea (MD 5.5, 95% CI 1.6 to 9.5). Previous acupuncture experience and advanced cervical dilatation were associated with higher and lower use of epidural analgesia (OR 2.7, 95% CI 1.3 to 5.9; and OR 0.3, 95% CI 0.1 to 0.5, respectively). No interactions with treatment allocation were found. Conclusions This study did not identify any maternal characteristics associated with women's responses to acupuncture during labour.
Epistemonikos ID: 24465a46d120a4b7b8bc81e13954ec08871c15f5
First added on: May 07, 2022