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Patients receiving mechanical ventilation (MV) support in intensive care units (ICU) may have some negative experiences. The most common of these are problems such as pain, agitation, anxiety, deterioration in comfort, dry mouth, thirst, and inadequacy in communication.
Reiki, one of the energy therapies among the non-pharmacological nursing practices that have become widespread in recent years, is one of the healing therapies that contribute to the protection and promotion of well-being, healthy aging, and the treatment of some health deviations and is applied noninvasively with hands.
In the literature, there are many studies suggesting that Reiki has positive effects on pain, anxiety and stress response (heart rate, blood pressure, respiratory rate) in patients with Reiki. It is known that these studies generally consist of health professionals such as cancer, haemodialysis, patients undergoing laparoscopic or endoscopic procedures, haemodialysis patients or nurses. Studies have shown that Reiki is especially effective in cancer patients, preoperative stress, anxiety, postoperative pain and symptom management in chronic diseases. For Reiki application in the intensive care unit, only a few studies conducted in the neonatal intensive care unit were found.
Full description
The study will consist of 40 patients hospitalized in intensive care units of Yalova Training and Research Hospital and who are receiving mechanical ventilation treatment. The sample will consist of patients who receive mechanical ventilation support in the intensive care unit, who are over 18 years of age, who are willing to participate in the study, who do not have neurological and psychiatric diagnoses, who are not due to drug/alcohol etc. intoxication, who are not in the terminal period, who are not sedated, who have a GCS score of 9 and above, who are receiving mechanical ventilation support for more than 48 hours, who are hemodynamically stable (not on high dose inotropic support, etc.), and who have a pain score of 3 and above.
Since there was no previous study similar to our research in the literature, the sample size was calculated as 26 patients in the experimental group and 26 patients in the control group with a large effect size d= 0.8, 5% margin of error (α) and statistical power (1-β) = 0.80 as recommended. To increase the power of the study and assume that there may be losses from the sample group, 30 patients were planned to be included in the study, 30 in the experimental group and 30 in the control group.
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Patients who do not fulfil the inclusion criteria will be excluded.
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Interventional model
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60 participants in 2 patient groups, including a placebo group
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Central trial contact
Yasemin Karacan, Assis Prof
Data sourced from clinicaltrials.gov
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