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An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
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Analgesia for childbirth: modern insights into an age-old challenge and the quest for an ideal approach
Maartje J Tulp1, Michael J Paech
1Department of Anaesthesia & Pain Medicine, King Edward Memorial Hospital for Women, Subiaco, WA, Australia.
It is widely recognized that childbirth may be the most painful experience in a woman's lifetime and that women have a right to relief. There are many options, but the efficacy of only a few is supported by robust evidence. Many influences determine which method of pain relief is chosen, including social and cultural factors, availability, cost and personal preference. Due to human diversity and the differing perspectives of consumers, obstetric care providers and health administrators, there is no such thing as 'an ideal approach'. In resource-rich societies, major advances in parturient safety and outcome flow from technique development and better monitoring. Greater awareness of the negative impact of untreated pain and of the relevance of genetic, cultural and social factors motivates research into better predictive models, novel therapies and optimization of existing methods.
It is widely recognized that childbirth may be the most painful experience in a woman's lifetime and that women have a right to relief. There are many options, but the efficacy of only a few is supported by robust evidence. Many influences determine which method of pain relief is chosen, including social and cultural factors, availability, cost and personal preference. Due to human diversity and the differing perspectives of consumers, obstetric care providers and health administrators, there is no such thing as 'an ideal approach'. In resource-rich societies, major advances in parturient safety and outcome flow from technique development and better monitoring. Greater awareness of the negative impact of untreated pain and of the relevance of genetic, cultural and social factors motivates research into better predictive models, novel therapies and optimization of existing methods.
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