Hypothermia during surgery is a common problem among patients undergoing surgery. It is known that approximately half of the patients who undergo surgery develop hypothermia. Hypothermia is defined as a central temperature below 36°C. The body temperature of patients decreases during the first hour of general anesthesia and continues to decrease when the surgery exceeds 2 hours. In the event of hypothermia, the patient develops a physiological shivering response. It can also increase patients oxygen consumption by up to 40%. Active and passive heating methods are used to prevent this. Warm socks are one of the passive heating methods.
In the preoperative period, putting pre-warmed socks on patients is effective in maintaining core body temperature, controlling shivering response and ensuring thermal comfort of patients. Pre-warmed socks are a noninvasive, easy-to-wear, painless and cost-effective method to prevent body temperature loss. The application of warm socks is also a method that allows the patient position to be changed and surgical preparation, is comfortable for the patient, reduces preoperative anxiety and can be applied without a physician order.
Study Population and Sampling: The universe of the study will consist of patients who underwent spinal surgery in the Operating Room of Istanbul Bakırköy Prof. Dr. Mazhar Osman Mental Health and Nervous Diseases Education and Research Hospital on the specified dates.
Sample: In the study, Gpower was used to determine the effect of perioperative warm socks application on maintaining body temperature in patients undergoing spinal surgery. The study findings reported by Lee et al. were used to determine the d value, which is the effect size index. It was calculated as α= 0.05, power=0.80 d=0.63. The sample was determined as 32 people for each group, a total of 64 patients.
Randomization: The research was conducted as double blind randomized and controlled experimental study. A simple computer-assisted randomization method was used to distribute the groups homogeneously.
For this purpose, 64 sets were created by using the functions on the internet address ;https://www.random.org/integer-sets; and each of these sets included 8 subjects, 4 subjects from each study group. As the next process, 64 sets were shown with 1 number each, 8 numbers between 1 and 64 were generated using the ;RANDOMLY SEARCH; function in Excel, and 8 sets to be used in randomization were randomly determined. Each set will contain 8 (4 experimental, 4 control) patients.
Data Collection Method: Data were collected by the researcher using face-to-face interview technique.
Data Collection Tools:
Personal information form (sociodemographic characteristics): This form, prepared by the researcher in line with the literature, aims to obtain information about the participants; sociodemographic characteristics (gender, age, occupation, etc.) and the surgery (duration of the surgery, start and end time of the surgery, etc.).
Tympanic temperature table: It was measured just before the surgery and continued to be measured every half hour throughout the surgery.
Operating room temperature table: It was measured just before the surgery and continued to be measured every half hour throughout the surgery.
Shivering scale: To determine the degree of the patients shiver, the researcher observed the patient. Then, patient gave a score between 0 and 4 to rate. 0: No signs of shiver. 4: Mean teeth chattering shiver. Measured after surgery.
Subjectıve thermal comfort scale: The patient was asked to determine the temperature he felt. It was evaluated between 1 and 6. 1: very cold, 6: very hot. It was measured after the surgery.
Vital signs: Body temperature, pulse, respiration, blood pressure, and SpO2 values were measured every 15 minutes for the first hour after surgery.
Visual analog scale: The two extreme definitions of the parameter to be evaluated are written at both ends of a 100 mm line, and the patient is asked to indicate where his/her own condition fits on this line by drawing a line, putting a dot, or marking. For example, for pain, I have no pain at one end, and very severe pain is written at the other end, and the patient marks his/her current condition on this line. The length of the distance from the place where there is no pain to the point marked by the patient indicates the patients pain.
