NCT06828029

Brief Summary

The aim of this study is to examine the effect of problem-solving approach training on the professional readiness perception of newly hired nurses. Nursing practices are dynamic and require strong problem-solving abilities. In this context, the study will explore how the support provided through education during the transition period for new graduate nurses influences their perception of professional competence. The hypothesis of the study is that problem-solving approach training will enhance the professional readiness perception of newly hired nurses. It is anticipated that the training will improve the nurses' professional knowledge and skills, equipping them to better handle the clinical challenges they will encounter. The study is planned to take place between February and June 2025 at Zoom platform. The population of the study consists of newly hired nurses, and a sample size calculation has been performed using power analysis. Effect size (Cohen's d): An effect size of 0.5 (moderate effect) has been assumed for this study. Alpha level (α): A Type I error rate of 0.05 is used. Power (1 - β): A power of 0.90 (90%) has been targeted. Using these parameters and the G\*Power software, the sample size is calculated to be approximately 64 participants per group. Therefore, the target is to recruit at least 128 participants for the study. Participants will be randomly assigned to experimental and control groups. The experimental group will receive online and interactive problem-solving approach training. Participants in the experimental group will be supported with problem-solving-based training modules, focusing on decision-making skills related to nursing practice throughout the training process. The control group will not receive any training. After the training, both groups' professional readiness perceptions will be assessed using the previously determined Personal Information Form and Professional Readiness Scale. The data collected in the study will be analyzed using SPSS (Statistical Package for Social Sciences) for Windows 22.0 software. Kolmogorov-Smirnov test will be used to determine whether the data follows a normal distribution. If p \> 0.05, the data will be considered to follow a normal distribution. If p \< 0.05, the data will be considered not normally distributed, and skewness and kurtosis values will be examined. For repeated measures, if the data is normally distributed, repeated measures ANOVA will be used; if the data is not normally distributed, Friedman's test will be applied. Descriptive statistics will first be used to summarize the general characteristics of the data, and the means and distributions of pre-test and post-test scores will be determined. To evaluate the effect of the training intervention, paired samples t-test will be applied to assess the differences between pre-test and post-test scores within the same group. This analysis will be used to measure the effect of the training program on time management and procrastination behaviors. Additionally, effect size (e.g., Cohen's d) will be calculated to evaluate the magnitude and significance of the training intervention's effect. Analysis of variance (ANOVA) will be used to determine whether there are significant differences between the groups, depending on the study's needs.

Trial Health

55
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
130

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Mar 2025

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
enrolling by invitation

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

February 10, 2025

Completed
4 days until next milestone

First Posted

Study publicly available on registry

February 14, 2025

Completed
19 days until next milestone

Study Start

First participant enrolled

March 5, 2025

Completed
27 days until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 1, 2025

Completed
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

June 1, 2025

Completed
Last Updated

March 26, 2025

Status Verified

January 1, 2025

Enrollment Period

27 days

First QC Date

February 10, 2025

Last Update Submit

March 25, 2025

Conditions

Keywords

Problem-SolvingProfessional ReadinessNewly Graduated Nurses

Outcome Measures

Primary Outcomes (1)

  • Professional Readiness

    The scale developed by Tarhan and Yıldırım in 2021 consists of a total of 15 items and 3 sub-dimensions. The Cronbach's alpha internal consistency coefficient of the scale, which has a 5-point Likert-type scoring, was found to be .90 in the total scale and .81 in the professional adaptation sub-dimension; .86 in the communication and cooperation sub-dimension; and .82 in the professional competence sub-dimension.

    5 months

Study Arms (2)

the experimental group who started working at the hospital

EXPERIMENTAL

Problem solving training was applied to the experimental group.

Behavioral: Problem-Solving

control grubu

NO INTERVENTION

No training was provided.

Interventions

Problem-SolvingBEHAVIORAL

The problem-solving training consists of five modules, blending theory and practice. Module 1 covers the basics of problem-solving, including key steps like identification, analysis, and evaluation, with group activities for hands-on practice. Module 2 focuses on creative techniques, such as brainstorming and mind mapping, to develop innovative solutions. Module 3 teaches decision-making and prioritization, using tools like SWOT analysis and decision trees, with applied exercises. Module 4 emphasizes teamwork and communication, highlighting conflict resolution and effective collaboration through team-based problem-solving activities. Module 5 integrates all techniques, applying them to real-life scenarios, particularly clinical cases, with group discussions and solution evaluations. The training incorporates interactive learning, simulations, and structured feedback, aiming to enhance problem-solving and leadership skills. Evaluation includes self-assessment and performance observation

the experimental group who started working at the hospital

Eligibility Criteria

Age18 Weeks+
Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

  • Over 18 years of age
  • Working for a maximum of 6 months
  • Graduated from the Department of Nursing
  • To know and understand Turkish at an adequate level
  • Voluntary participation
  • Access to online education platforms
  • Participated in at least 4 out of 5 weekly trainings

You may not qualify if:

  • Department/school change
  • The student requests to leave the study
  • Continuing formal education
  • Not working at the hospital

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Istanbul Beykent University

Istanbul, Istanbul, 34045, Turkey (Türkiye)

Location

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Purpose
HEALTH SERVICES RESEARCH
Intervention Model
PARALLEL
Model Details: The problem-solving training consists of five modules, blending theory and practice. Module 1 covers the basics of problem-solving, including key steps like identification, analysis, and evaluation, with group activities for hands-on practice. Module 2 focuses on creative techniques, such as brainstorming and mind mapping, to develop innovative solutions. Module 3 teaches decision-making and prioritization, using tools like SWOT analysis and decision trees, with applied exercises. Module 4 emphasizes teamwork and communication, highlighting conflict resolution and effective collaboration through team-based problem-solving activities. Module 5 integrates all techniques, applying them to real-life scenarios, particularly clinical cases, with group discussions and solution evaluations. The training incorporates interactive learning, simulations, and structured feedback, aiming to enhance problem-solving and leadership skills. Evaluation includes self-assessment and performance observation
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Asst. Prof.

Study Record Dates

First Submitted

February 10, 2025

First Posted

February 14, 2025

Study Start

March 5, 2025

Primary Completion

April 1, 2025

Study Completion

June 1, 2025

Last Updated

March 26, 2025

Record last verified: 2025-01

Data Sharing

IPD Sharing
Will not share

Locations