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

July 23, 2024 updated by: Abeer Selim, King Saud Bin Abdulaziz University for Health Sciences

Awareness About Warning Signs of Mental Illness Using Social Media Among Health Professions' Students in Saudi Arabia: A Quasi Experimental Study

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.

Study Overview

Detailed Description

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.

Study Type

Interventional

Enrollment (Actual)

494

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Riyadh, Saudi Arabia, 11481
        • King Abdullah International Medical Research Center
      • Riyadh, Saudi Arabia, 11481
        • King Saud Bin Abdulaziz University for Health Sciences

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Male and female university health professional students

Exclusion Criteria:

  • Other university specialty students

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Digital Online Warning Signs of Mental Illness Literacy Program
30-minute pre-recorded educational video with interactive question-and-answer sessions
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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Recognizing Warning Signs of Mental Illness
Time Frame: Once the intervention is completed/immediately after the intervention
students will be able to identify warning signs of mental illness and understand the significance of early recognition measured byMental Health Literacy Survey About Warning Signs of Mental Illness scoring ranges from 15 to 75
Once the intervention is completed/immediately after the intervention

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: ABEER SELIM, RN, PhD, College of Nursing-Riyadh, King Saud Bin Abdulaziz University for Health Sciences

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 1, 2024

Primary Completion (Actual)

July 11, 2024

Study Completion (Actual)

July 11, 2024

Study Registration Dates

First Submitted

July 18, 2024

First Submitted That Met QC Criteria

July 23, 2024

First Posted (Actual)

July 24, 2024

Study Record Updates

Last Update Posted (Actual)

July 25, 2024

Last Update Submitted That Met QC Criteria

July 23, 2024

Last Verified

July 1, 2024

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • H-01-R-005

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

Unidentified data will shared with other researchers contributing to this study to analyze data, present results, and interpret the results.

IPD Sharing Time Frame

June 2022 - July 2024

IPD Sharing Access Criteria

Study investigators

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ICF

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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