Consequences of Admission to the Delivery Room in the Early and Late Phases

Overview

This study will be conducted to compare maternal and neonatal outcomes of pregnant women who applied to the delivery room in the early (latent) and late (active) phase. The population of the research will consist of participants who applied to Darıca Farabi Training and Research Hospital for birth. To determine the sample size of the study, first, those who meet the inclusion criteria and are admitted to the delivery room in the latent phase and those who are accepted in the active phase will be numbered and recruited sequentially. When the number of participants in the 100 latent and 100 active acceptance groups is reached, the effect size will be calculated using the STAI score averages and the G\*Power program, and the exact sample number will be determined, taking into account possible data losses. If necessary, data collection will continue until the target number is reached. Randomization will not be applied in the study. Data will be collected with the maternal and neonatal information form, State and Trait Anxiety Scale (STAI), Fear of Birth Scale, Neonatal Pain and Stress Assessment Scale (ALPS-Neo) and Visual analog scale for birth satisfaction. Data will be collected by the assistant researcher. Statistical analysis will be performed using IBM SPSS Statistic. Descriptive statistical methods will be used to evaluate socio-demographic data, and parametric/nonparametric tests will be used for comparative analyses.

Aim: This study will be conducted to compare maternal and neonatal outcomes of pregnant women who applied to the delivery room in the latent and active phase. Research hypothesis: H1.1: There is a statistical difference between the two groups in terms of maternal outcomes of pregnant women who applied to the delivery room in the latent phase and pregnant women who applied in the active phase. H1.2: There is a statistical difference between the two groups in terms of neonatal outcomes of pregnant women who applied to the delivery room in the latent phase and pregnant women who applied in the active phase. H0.1: There is no statistical difference between the two groups in terms of maternal outcomes of pregnant women who applied to the delivery room in the latent phase and pregnant women who applied in the active phase. H0.2: There is no statistical difference between the two groups in terms of neonatal outcomes of pregnant women who applied to the delivery room in the latent phase and pregnant women who applied in the active phase. Type of Study: This study is a cross-sectional and analytical study planned to compare maternal and neonatal outcomes of pregnant women admitted to the delivery room in the latent and active phases. The population of the research will consist of participants who applied to Darıca Farabi Training and Research Hospital for birth. To determine the sample size of the study, first, those who meet the inclusion criteria and are admitted to the delivery room in the latent phase and those who are accepted in the active phase will be numbered and recruited sequentially. When the number of participants in the 100 latent and 100 active acceptance groups is reached, the effect size will be calculated using the STAI score averages and the G\*Power program, and the exact sample number will be determined, taking into account possible data losses. If necessary, data collection will continue until the target number is reached. Randomization will not be applied in the study. Data will be collected with the maternal and neonatal information form, State and Trait Anxiety Scale (STAI), Fear of Birth Scale, Neonatal Pain and Stress Assessment Scale (ALPS-Neo). Maternal and neonatal information form: It was prepared by the researcher within the framework of the literature. The form consists of 49 questions including maternal and neonatal introductory characteristics. State and Trait Anxiety Inventory (STAI): This scale, developed by Spielberger et al., consists of two subscales: state and continuous, each consisting of 20 questions. It is a Likert-type scale with points between 1 and 4 for each question and can be applied to individuals over the age of 14. Neonatal pain and stress rating scale (ALPS-Neo): Lundqvist et al. to evaluate pain and stress in premature and term newborns. The Cronbach's alpha coefficient of the scale was reported as 0.95. The scale is a 0-1-2, 3-point Likert-type scale consisting of 5 items in one dimension, including the newborn's facial expression, breathing pattern, tone of the extremities, hand and foot activities, and activity level. Measurements are made by observation. A minimum of 0 and a maximum of 10 points are obtained from the scale. As a result of the evaluation, 3-5 points indicate the presence of mild pain and stress, and more than 5 points indicate the presence of severe pain and stress. The higher the stress and pain, the higher the score. Fear of Birth Scale: Scale Wijma et al. It was developed to measure fear during birth. The scale is one-dimensional and consists of a total of 10 items. Responses to each item in the scale range from 1 to 10, with 1 indicating "I completely disagree" and 10 indicating "I completely agree". The minimum score that can be obtained from the scale is 10 and the maximum score is 100. A high score from the scale indicates high fear. Five items in the scale (1, 3, 5, 7, and 10) have a positive meaning, and five items (2, 4, 6, 8, and 9) have a negative meaning. Visual analog scale for birth satisfaction: It consists of 10 cm analog line. How satisfied were you with your birth? 0 was defined as 'I was not satisfied at all' and 10 was defined as 'I was very satisfied'. The participant is asked to mark the appropriate point. It will be filled after birth. Statistical analysis will be performed using IBM SPSS Statistic. Descriptive statistical methods (number, percentage, mean, standard deviation) will be used in the evaluation of socio-demographic data. When the data is found to be suitable for normal distribution, it will be analyzed with parametric tests (chi-square, T test, etc.) in comparing categorical variables, and when it is not found to be suitable for normal distribution, it will be analyzed with non-parametric tests (Mann-Whitney U Test, Kruskal Wallis, etc.).