Awareness About Warning Signs of Mental Illness Among Health Profession Students. A Quasi-Experimental Study

NCT ID: NCT06517381

Last Updated: 2024-07-25

Study Results

Results pending

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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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

494 participants

Study Classification

INTERVENTIONAL

Study Start Date

2024-02-01

Study Completion Date

2024-07-11

Brief Summary

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In Saudi Arabia, there are limited studies addressing mental health literacy, with no studies regarding warning signs of mental illness. Mental health literacy among healthcare professions students as future clinicians decreases stigma and promotes mental health through early detection and management of mental health problems.

The current study aimed to evaluate the effectiveness of a digital online educational session about the warning signs of mental illness called the Digital Base Warning Signs of Mental Illness Literacy Program.

This study hypothesized that the Digital Base Warning Signs of Mental Illness Literacy Program is effective and will enhance health profession students' literacy regarding warning signs of mental illness.

This is a non-randomized trial using a 30-minute digital educational session about the warning signs of mental illness. It involves a convenience sample of 493 undergraduate health profession students. The Mental Health Literacy Survey About Warning Signs of Mental Illness was developed and validated to measure the participants' mental health literacy before and after the intervention.

Detailed Description

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Improving warning signs of mental health literacy is a critical focus for this study as it addresses the fundamental understanding and recognition of early indicators of mental health issues. This first-of-its-kind study aims to fill a significant gap in current research by systematically examining the effectiveness of targeted interventions designed to enhance awareness and comprehension of mental health warning signs. Effective management of mental health issues among university students requires early detection of warning signs of mental illnesses and access to treatment to improve individuals' psychological, academic, social, and occupational functioning.

The current study aimed to evaluate the effectiveness of a digital online educational session about the warning signs of mental illness called the Digital Base Warning Signs of Mental Illness Literacy Program.

This study hypothesized that the Digital Base Warning Signs of Mental Illness Literacy Program is effective and will enhance health profession students' literacy regarding warning signs of mental illness.

The current study used a quasi-experimental nonrandomized trial, one-group pretest-posttest study design, which used Transparent Reporting of Evaluation with Nonrandomised Designs.

TOOLS Sociodemographic questions Items included age, gender, college, academic year, type of university, knowing anyone who has mental illness, and experience of mental illness.

Mental Health Literacy Survey About Warning Signs of Mental Illness After reviewing the literature, the researchers developed the survey to measure participants' mental health literacy about the warning signs of mental illness. The tool was created because the existing instruments do not adequately capture the specific contents and indicators pertinent to mental health literacy about warning signs of mental illness. Moreover, having a standardized tool allows for consistent data collection and comparison across different populations and settings, which is vital for advancing mental health literacy research and enabling researchers to draw more accurate conclusions and develop evidence-based recommendations.

The survey has 15 items, each measuring agreement on a five-point Likert scale, ranging from strongly agree to strongly disagree). The survey scores ranged from 15 (Lowest) to 75 (Highest). Items from 1 to 11 address knowledge about warning signs of mental illness, tackling social withdrawal, impairment in academic or occupational functioning, cognitive impairment, perceptual hypersensitivity, avolition or apathy, dissociation or sense of unreality, unusual beliefs, suspiciousness, odd behaviors, marked changes in sleep or appetite or deterioration of hygiene, and mood swings. Items from 12 to 15 are related to early detection, utilization of mental health resources, and attitudes toward mental illness. The Survey underwent a validation process. After developing MHLS, content validity was established, and after data collection, construct validity was measured using factor analysis.

INTERVENTION Digital Online Warning Signs of Mental Illness Literacy Program The investigators developed the program in collaboration with the university media center. The program comprised 30-minute pre-recorded video and question-and-answer sessions. Previous studies have demonstrated the effectiveness of educational programs lasting between 30 and 45 minutes in enhancing nurses' knowledge and practices. The video sessions demonstrated motion graphic animation of 11 warning signs of mental illness: social withdrawal, impairment in academic or occupational functioning, cognitive impairment, perceptual hypersensitivity, avolition or apathy, dissociation or sense of unreality, unusual beliefs, suspiciousness, odd behaviors, marked changes in sleep or appetite or deterioration of hygiene, and mood swings. After demonstrating warning signs of mental illness, the video showed that experiencing several of the earlier symptoms that seriously impair social, academic, or occupational functioning needs mental health consultation. Further, the video emphasized that untreated warning signs might develop into psychotic episodes. After that, pharmacological and nonpharmacological therapies were presented. Furthermore, the significance of early intervention in managing mental illness and preventing further disabilities, as in the case of physical disorders, was illustrated. The videos were followed by case studies, success stories, and interactive question-and-answer sessions.

Conditions

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Mental Health Wellness 1

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

OTHER

Blinding Strategy

NONE

Study Groups

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Digital Online Warning Signs of Mental Illness Literacy Program

30-minute pre-recorded educational video with interactive question-and-answer sessions

Group Type EXPERIMENTAL

Digital Online Warning Signs of Mental Illness Literacy Program

Intervention Type OTHER

Digital Online Warning Signs of Mental Illness Literacy Program is comprised of 30-minute pre-recorded video and question-and-answer sessions. The videos were followed by case studies, success stories, and interactive question-and-answer sessions

Interventions

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Digital Online Warning Signs of Mental Illness Literacy Program

Digital Online Warning Signs of Mental Illness Literacy Program is comprised of 30-minute pre-recorded video and question-and-answer sessions. The videos were followed by case studies, success stories, and interactive question-and-answer sessions

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Male and female university health professional students

Exclusion Criteria

* Other university specialty students
Minimum Eligible Age

18 Years

Maximum Eligible Age

30 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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King Saud Bin Abdulaziz University for Health Sciences

OTHER

Sponsor Role lead

Responsible Party

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Abeer Selim

Assistant Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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ABEER SELIM, RN, PhD

Role: PRINCIPAL_INVESTIGATOR

College of Nursing-Riyadh, King Saud Bin Abdulaziz University for Health Sciences

Locations

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King Abdullah International Medical Research Center

Riyadh, , Saudi Arabia

Site Status

King Saud bin Abdulaziz University for health sciences

Riyadh, , Saudi Arabia

Site Status

Countries

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Saudi Arabia

Other Identifiers

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H-01-R-005

Identifier Type: -

Identifier Source: org_study_id

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