Recruitment

Recruitment Status
Recruiting
Estimated Enrollment
Same as current

Summary

Conditions
Pregnant Women
Type
Interventional
Phase
Not Applicable
Design
Allocation: RandomizedIntervention Model: Parallel AssignmentIntervention Model Description: Pregnant women included in the research sample will be divided into two groups as experimental and control groups. Experimental group; is the group to be trained. Control group; It is the group in which no intervention will be made other than data collection.Masking: None (Open Label)Primary Purpose: Supportive Care

Participation Requirements

Age
Between 18 years and 45 years
Gender
Only males

Description

The number of people to be included in the study was made with the power analysis made considering the previous studies. With the G * Power (3.1.9.7.) Program, the number of samples for each group was determined as n = 34 at 80% power, 5% error and 95% confidence interval. Considering the losses in ...

The number of people to be included in the study was made with the power analysis made considering the previous studies. With the G * Power (3.1.9.7.) Program, the number of samples for each group was determined as n = 34 at 80% power, 5% error and 95% confidence interval. Considering the losses in data collection, 20% was added to each group and it was decided to recruit a total of 80 people, 40 people for the experimental group and 40 people for the control group. Pregnant women included in the research sample will be divided into two groups as experimental and control groups. Data will be collected by sending via an online questionnaire created by the researchers. Before the online questionnaire is sent to the experimental and control groups, the experimental-control days will be determined randomly by a lottery drawn by a third person (blinding). Pregnant women who agree to participate in the study will be assigned to the experimental and control groups according to the determined days. The data obtained in the study will be analyzed using the SPSS (Statistical Package for Social Sciences) for Windows 22.0 program. Significance value will be considered as p <0.05. Number, percentage, mean and standard deviation will be used as descriptive statistical methods in the evaluation of data. Pearson correlation and regression analysis will be applied among the continuous variables of the study. The t-test will be used to compare the quantitative continuous data between two independent groups, and the One-way Anova test will be used to compare the quantitative continuous data between more than two independent groups. After the Anova test, the Scheffe test will be used as a complementary post-hoc analysis to determine the differences.

Tracking Information

NCT #
NCT04897906
Collaborators
Istanbul University-Cerrahpasa
Investigators
Principal Investigator: Cisem Bastarcan, MsC Research Assistant