A randomized controlled study examining a novel binaural beat technique for treatment of preoperative anxiety in a group of women undergoing elective caesarean section.
Arianna ParodiPaola FoddeTeresa PellecchiaMatteo PuntoniEnzo FracchiaMassimo MazzellaPublished in: Journal of psychosomatic obstetrics and gynaecology (2020)
According to the allocation arm, participants were asked to listen an engineered audio track (binaural beat arm) created with the novel algorithm "Dynamic Spectrum Phase Shift" (DMSPS), or an identical soundtrack without DMSPS in it (music arm), or no specific intervention, representing standard practice. The feeling of anxiety has been measured by the State-Trait Anxiety Inventory (STAI-Y) questionnaire.Conclusions and Relevance: Binaural beat audio created with DMSPS algorithm provides superior changes in reported anxiety in comparison to normal music and above all to standard care.This technique does not need extra staff or extra staying time for the patients, so it could be a cost-effective way to manage preoperative anxiety in women undergoing elective cesarean section, with a potential impact to the mother's positive experiences and care of the newborn. The EudraCT number: 2019-000743-27.
Keyphrases
- sleep quality
- patients undergoing
- healthcare
- heart rate
- machine learning
- palliative care
- quality improvement
- polycystic ovary syndrome
- deep learning
- ejection fraction
- mental health
- pregnant women
- prognostic factors
- depressive symptoms
- risk assessment
- chronic pain
- psychometric properties
- pregnancy outcomes
- cross sectional
- physical activity
- skeletal muscle
- genome wide
- climate change
- neural network