Mental health awareness, stigma, and help-seeking attitudes among Albanian university students in the Western Balkans: a qualitative study
Bibliographic record
Abstract
Introduction: The significance of mental health and its impact on overall well-being is increasingly acknowledged across various sectors, including higher education. However, despite this growing recognition, the stigma associated with mental health issues and related help-seeking, particularly within certain cultural groups and socio-economic contexts, continues to pose a formidable barrier to effective care, especially among university students. Addressing these challenges, this study explores the intricate interplay of factors affecting mental health awareness and stigma, including help-seeking behaviors among Albanian university students in three Western Balkan countries: Kosovo, North Macedonia, and Albania. By dissecting these multi-layered influences, this study aims to develop targeted interventions to enhance mental well-being and dismantle barriers to care in these regions. Methods: This qualitative study involved 60 Albanian university students from Kosovo, North Macedonia, and Albania, using focus groups to gather data. The discussions were structured around the socio-ecological model, facilitating a comprehensive exploration of the individual, interpersonal, organizational, and societal factors influencing mental health awareness, stigma, and help-seeking behaviors. Results: Findings from the study indicate a moderate awareness of mental health issues among students. Familial and cultural stigma among Albanians in the Balkans hinder open discussions and access to professional help. There is a notable lack of support from higher education institutions, with only 20% of students reporting that their mental health needs are met. These needs include affordable and confidential counseling, empathetic faculty interactions, and a supportive campus environment. Additionally, there is a lack of continuous and professional help within the community. Societal attitudes deeply rooted in Albanian cultural norms and traditional beliefs perpetuate stigma, limiting effective health care and help-seeking behavior. Discussion: The results emphasize the need for a culturally sensitive and holistic approach to mental health interventions that integrates strategies across multiple levels of the socio-ecological model. Enhancing mental health literacy, reducing stigma, and advocating for supportive legislation and policies in the Western Balkan region are critical. Moreover, the study highlights the urgent necessity for universities in particular to improve their mental health services, which will significantly enhance both the academic success and personal development of students.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".