Clinical Trial Details
— Status: Completed
Administrative data
| NCT number |
NCT05277545 |
| Other study ID # |
KaratayUBK |
| Secondary ID |
|
| Status |
Completed |
| Phase |
N/A
|
| First received |
|
| Last updated |
|
| Start date |
January 28, 2022 |
| Est. completion date |
January 28, 2023 |
Study information
| Verified date |
January 2022 |
| Source |
KTO Karatay University |
| Contact |
n/a |
| Is FDA regulated |
No |
| Health authority |
|
| Study type |
Interventional
|
Clinical Trial Summary
The aim of this study is to determine the effect of the education given in technology
addiction course to nursing students studying at a foundation university on students'
perspectives on addiction and addiction levels.A self-report online survey method was used to
collect data. After the data collection tools used were made suitable for filling in the
online environment, the questionnaires were delivered to the participants using e-mail and
social media networks. The pretest was collected just before the start of the personal
development phase training on technology addiction. Then, technology addiction personal
development training planned by the researcher was applied to the students in the
experimental group for 10 weeks. After the end of the lessons, the same questionnaires were
used as a posttest application. The same data collection tools were applied to the control
group without any intervention.
Description:
The aim of this study is to determine the effect of the education given in the technology
addiction course to nursing students studying at a foundation university on the students'
perspectives on addiction and addiction levels.Dependence; taking increasing amounts of a
substance for purposes other than its intended purpose; It is the picture where the person
cannot stop using even though it causes problems in his life and withdrawal symptoms appear
when he reduces his substance intake. In addiction, the person continues to use the substance
despite the problems related to family, social and work/school life (Koç, et al., 2018).
Although not yet included in the DSM-5 diagnostic list, some conditions that are suggested to
be candidates for inclusion in this list and that require further investigation have been
identified. These conditions can be listed as "internet addiction", "social media addiction"
and "smartphone addiction" (American Psychiatric Association, 2013.). Internet addiction
constitutes the main framework of other internet-related addictions. In this context, it is
emphasized that activities carried out on the Internet as well as the Internet are a source
of addiction (Griffiths &, Szabo, 2014). Therefore, concepts such as "social media
addiction", "digital game addiction" and "smartphone addiction" can be considered as
addictions in which the active substance is the internet (Kwon, et al., 2013). Although a
precise definition of the term "internet addiction", which was included in the DSM-5 for the
first time, could not be made; It is defined as not being able to limit internet use, being
stressed when internet access is blocked or restricted, spending time on the internet in
increasing amounts, continuing to use the internet despite having problems in work/school
life and family life. It is predicted that technological dependencies will take place more in
the future versions of DSM (Savcı & Aysan, 2017).For this reason, it is inevitable to see the
importance of intervening by determining students' perspectives on internet and technology
addictions and their addiction levels, if any. At this point, the aim of the research is to
see the effect of the education on technology addiction on students' perspectives and
addiction levels.
hypotheses H1: Technology addiction education given to nursing students changes their
perspectives on addiction.
H2: Technology addiction education given to nursing students positively affects their
addiction assessments.
H3: Technology addiction education given to nursing students reduces the level of technology
addiction.
Method:
Type of Study: This is a randomized controlled interventional study. Population and Sample of
the Research The universe of this research will be all students studying in the nursing
department at a foundation university in Konya. In the comparison of the experimental and
control groups using the sample size power analysis of the research, the minimum number of
subjects required in each group will be determined in order for the difference between them
to be statistically significant in terms of scale scores. The experimental group of the
research will consist of students who choose the elective technology addiction course, which
has a chance of random selection. The control group will consist of students who have not
chosen this course and have not taken a technology addiction course before.
Dependent and Independent Variables of the Research Dependent variables; students'
perspectives on their own technology addiction and their level of technology addiction.
Independent variables; personal characteristics of students and technology addiction training
to be given.Data Collection Method: An online survey method based on self-report will be used
while collecting data. After these data collection tools to be used are made suitable for
filling in the online environment, the questionnaires will be delivered to the participants
using e-mail and social media networks. The pretest will be collected just before the start
of the personal development training on technology addiction. After Dada, technology
addiction personal development training planned by the researcher will be applied to the
students in the experimental group for 10 weeks. After the end of the classes, the same
questionnaires will be used as a posttest application.
Statistical Analysis of Data P<0.05 will be considered statistically significant by using the
IBM SPSS Statistics 20.0 package program for the data obtained by statistical analysis from
the questionnaires applied in the pretest and posttest phase of the research. In the
association of demographic characteristics, the conformity of numerical values to the normal
distribution will be checked. It is planned to use percentile, t-test in dependent groups,
chi-square tests in nonparametric cases, Fisher Exact and Pearson chi-square tests in the
analysis of the research.
