ArticleSAGE open medicine2025
Intention to use digital-based psychosocial counseling and its predictors among students in University of Gondar, Northwest Ethiopia, 2023: Using modified unified theory of acceptance and use of technology model.
Article in SAGE open medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- A scoping review of mental health counseling practices, challenges, and prospects in Ethiopia.Discover mental health · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Psychosocial problems are widely affecting the population around the world and worsening in university students. Timely access to psychosocial counseling and support remained challenging. Hence, implementing a digital-based approach to psychosocial counseling services could potentially improve access and efficiency for students in need. However, limited evidence on the intention to use digital-based psychosocial counseling and its predictors among university students in Ethiopia. This study aimed to assess the intention to use digital-based psychosocial counseling and its predictors among students at the University of Gondar, Northwest Ethiopia. Methods: A cross-sectional study was conducted on 759 students from 28 March until 28 April 2023 at the University of Gondar, Northwest, Ethiopia. Proportional allocation was done, and the participants were selected using stratified random sampling. The median score was used as a cutoff point. The student who scores median and above on intention to use construct was considered as intended to use digital-based psychosocial counseling otherwise unintended. The interviewer-administered questionnaire, adapted from the unified theory of acceptance and use of technology model and kobo collect app, was employed to collect the data. Data were exported to SPSS 20 for descriptive analysis and Analysis of Moment and Structure version 23 for structural equation modeling analysis to assess the significance of relationships between variables using a path coefficient and a Results: A total of 750 (98.8%) responded to complete all the questionnaires. The proportion of intention to use digital-based psychosocial counseling was 54.9%, (95% CI: 51.3%-58.5%). A structural equation modeling shows that performance expectancy (β = 0.510, Conclusion and recommendation: The study has shown a promising intention to use digital-based psychosocial counseling among university students. Performance expectancy, effort expectancy, and social influence had a positive effect on the intention to use digital-based psychosocial counseling. Thus, the implementers need to give priority to enhancing and creating awareness for students related to how to use digital-based counseling.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.