Exploring Digitalized Interventions for Stress and Problem Solving
NCT ID: NCT06290362
Last Updated: 2024-03-07
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
54 participants
INTERVENTIONAL
2021-04-16
2021-11-28
Brief Summary
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Detailed Description
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Significant differences were found between groups for Problem-Solving Inventory (F(2-104):5.005)(p\<0.05). The key findings of our RCT study is the strong impact of digitalized intervention on the time-group interaction (p\<0.05). This highlights the effectiveness of the Instagram-based telehealth tool in facilitating long-lasting improvements among young adults. These findings shed light on the potential of social media platforms, like Instagram, as not only popular but successful tools for mental health interventions. Nurses can incorporate these digital interventions to enhance mental health support, reach a wider audience, and overcome barriers associated with traditional methods.
1. H1: There is a significant difference between the mean scores of the Problem Solving Inventory in favour of the Instagram-based intervention group in the time series.
2. H1: There is a significant difference between the mean scores of the Perceived Stress Scale in favour of the Instagram-based intervention group in the time series.
3. H1: Instagram-based telehealth is effective for reducing Problem Solving Inventory scores.
4. H1: Instagram-based telehealth is effective for reducing Perceived Stress Scale scores.
Conditions
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Study Design
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RANDOMIZED
FACTORIAL
PREVENTION
SINGLE
Study Groups
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Control
Any intervention applied. Following the completion of the research, the need for psychosocial support among the control group participants was assessed, and it was found that none of the students in the control group required such support.
No interventions assigned to this group
Cognitive Behavioural Theory-based group consultation
Cognitive Behavioural Theory-based group consultation was given to the intervention group through an Instagram as online social media platform. This approach has been developed with the philosophy of Cognitive Behavioral Theory (Eskin, 2009). For three days a week over eight weeks of intervention conducted with synchronized psychoeducation sessions, online posts, surveys, personal sharing messages, and group interaction tools.
1. Introduction and warm-up,
2. Problem orientation-identifying the problem,
3. Identifying prior problems-Which one I want to start?
4. Recognizing the losses caused by problems and complaints,
5. Setting reachable and realistic goals,
6. Generating alternatives-What can I do?
7. Regulating emotions,
8. Experimenting and exploring. Sessions were completed in approximately one hour as semi-structured interactive group training according to group dynamics.
Cognitive Behavioural Theory-based group consultation
Cognitive Behavioural Theory-based group consultation was given to the intervention group through an Instagram as online social media platform. This approach has been developed with the philosophy of Cognitive Behavioral Theory (Eskin, 2009).
For three days a week over eight weeks, informative posts were shared, asynchronous testing and self-discovery activities were carried out, and a synchronous tele-psychoeducation session was held once a week. The participants were connected to the live broadcast of the research team, and they interacted via text messages. In this interaction, further suggestions related to the goals of the week were given, previous assignments were checked, homework for the next session was given, personal experiences and the needs of the participants were determined, and necessary feedback was provided. Instagram had the feature of maintaining the records of all participants\' attendance at these events.
Interventions
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Cognitive Behavioural Theory-based group consultation
Cognitive Behavioural Theory-based group consultation was given to the intervention group through an Instagram as online social media platform. This approach has been developed with the philosophy of Cognitive Behavioral Theory (Eskin, 2009).
For three days a week over eight weeks, informative posts were shared, asynchronous testing and self-discovery activities were carried out, and a synchronous tele-psychoeducation session was held once a week. The participants were connected to the live broadcast of the research team, and they interacted via text messages. In this interaction, further suggestions related to the goals of the week were given, previous assignments were checked, homework for the next session was given, personal experiences and the needs of the participants were determined, and necessary feedback was provided. Instagram had the feature of maintaining the records of all participants\' attendance at these events.
Eligibility Criteria
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Inclusion Criteria
* Being an university student,
* Volunteer for the study,
* Possess the necessary technological resources
Exclusion Criteria
* Have a psychiatric diagnosis that would affect decision-making and orientation assessment abilities
* Be receiving any professional support that could potentially influence their coping skills during data collection
This calculation was performed to ensure that the study would have an appropriate sample size to detect meaningful effects and draw reliable conclusions. In this study, an alpha level of 0.05 and a beta level of 0.20 have been set. Based on the results of previous similar studies, it has been determined that a minimum sample size of 24 (total 48) is required for each group.
Following the completion of the announcement and registration phase, a random assignment process was conducted to allocate 54 students into either the control or intervention groups, adhering to the guidelines of the Consort Model.
Gender, problem-solving skills, and perceived stress levels were taken into account during the group allocation process.
The RCT\'s statistical power, calculated post hoc within a 95% confidence interval and a sampling error of d=.05, was determined to be 83.0%.
18 Years
ALL
No
Sponsors
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Ege University
OTHER
Responsible Party
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Gizem Beycan Ekitli, PhD.
Research Assistant Dr.
Locations
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Ege University
Izmir, , Turkey (Türkiye)
Countries
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Other Identifiers
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EgeTrial4
Identifier Type: -
Identifier Source: org_study_id
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