Reducing Stigma and Promoting Empowerment: A Pre-Post Evaluation of ACE-LYNX Intervention on the Mental Health Literacy of University Providers
Bibliographic record
Abstract
Background: Limited mental health literacy (MHL) among university service providers is a significant obstacle to effective psychological support. Developing and systematically assessing evidence-based interventions is an urgent priority, particularly in low- and middle-income countries (LMICs). This study aimed to evaluate the effectiveness of the Acceptance & Commitment to Empowerment: Linking Youths AND ‘Xin’ (Hearts) (ACE-LYNX) intervention in reducing stigma, improving psychological well-being, and enhancing the MHL and empowerment practices of university mental health providers in China. Methods: A total of 124 trained providers participated in this longitudinal study. Quantitative data were collected at baseline, immediately post-intervention, and three-month follow-up using the validated scale (CAMI, DASS-21) and weekly activity logs recording empowerment practices. Generalized estimating equations (GEEs) and qualitative content analysis were used for data analysis. Results: Quantitative analysis showed a significant reduction in stigma immediately postintervention, particularly in the Social Restriction subscale (β = 1.35, p < 0.001), though this effect diminished by the 3-month follow-up (β = 1.80, p = 0.001). Notably, a lasting reduction in the providers’ stress levels was maintained. Activity logs showed the highest level of engagement at the individual level (51.4%), followed by group level (32.0%), organizational level (10.5%), and community level (6.1%). Qualitative analysis revealed three themes: Skill-based empowerment enhances professional efficacy, embedded interventions expand service boundaries, and organizational empowerment fosters sustainability. Conclusions: This dual-focus ACE-LYNX intervention effectively improved MHL and both attitudinal and functional competencies among providers. It provides a scalable framework for fostering sustainable and inclusive campus mental health ecosystems, with significant implication for enhance psychological services in resource-constrained educational settings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".