The effectiveness of mental health literacy digital awareness campaign on social discrimination, willingness to seek professional psychological help, and intended behaviors among high school students in Jordan

This study offers school mental health professionals a valuable tool to support high school students through accessible platforms like social media.

Authors

Institutions

Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251381761
Citations
2
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
8.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The effectiveness of mental health literacy digital awareness campaign on social discrimination, willingness to seek professional psychological help, and intended behaviors among high school students in Jordan

Nuha R. Y. Amer, Ayman M. Hamdan‐Mansour
2 citations
Digital Health
Impact of Technology on Adolescents
8.40
article

The effectiveness of mental health literacy digital awareness campaign on social discrimination, willingness to seek professional psychological help, and intended behaviors among high school students in Jordan

Nuha R. Y. Amer, Ayman M. Hamdan‐Mansour
article en
2 citations

Abstract

This study offers school mental health professionals a valuable tool to support high school students through accessible platforms like social media.

Digital HealthVol. 11
University of Jordan (JO), Middle East Institute (US), Middle East University (JO)
Openalex Percentile: Top 3%
Impact of Technology on Adolescents
8.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.