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The effect of maternal body temperature on the postpartum process and the newborn in innatal cesarean section is an important issue that needs to be emphasized. Hypothermia is defined as the patient's body temperature falling below 36.0 °C. Because hypothermia and shivering are frequently undesirable morbidities that occur during cesarean section. It can lead to many problems such as coagulopathy, increased transfusion requirement, surgical site infection, delayed metabolism of drugs, prolonged recovery, shivering and thermal discomfort. Many randomized controlled studies have been conducted on the heat regulation processes of women who gave birth by cesarean section, and maternal shivering and infection have been compared with parameters such as neonatal Apgar, blood pH and hypothermia. However, it is observational; data on care, breastfeeding, maternal mobilization and comfort are limited. The aim of this study was to determine the postoperative maternal and neonatal effects of maternal body temperature after cesarean section. An analytical cross-sectional study design will be used. All samples meeting the inclusion criteria of the study will be reached between 10.01.2021-10.01.2022. Research data will be collected using the pregnancy information form, postoperative maternal-neonatal follow-up form, Facial Pain Scale and Temperature Comfort Perception Scale. Research data will be collected using the IBM SPSS Statistic program.
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The data of the study will be collected using the Pregnant Women Information Form, Postoperative Maternal and Neonatal Follow-up Forms, Faces Pain Scale (FPS) and Thermal Comfort Perception Scale (TCPS).
Statistical analyzes of the data will be performed using IBM SPSS (IBM Corp., NY, USA). Descriptive statistics (number, percentage, mean, standard deviation) will be used to evaluate sociodemographic data. In the comparison of categorical variables, parametric tests (Chi-square, t test, etc.) will be used when the data are normally distributed, and nonparametric tests (Mann-Whitney U test, Kruskal-Walli test, etc.) and regression analysis will be used when the data are not normally distributed.
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250 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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