Mental health challenges experienced by LGBTI+ community in Gaborone: A phenomenological study
Bibliographic record
Abstract
Background: Mental health challenges have affected the entire global population including individuals identifying as lesbian, gay, bisexual, transgender, intersex and others (LGBTI+). There is documented evidence of a high prevalence of mental health challenges among LGBTI+ community across the globe, but in Botswana there is dearth of literature pertaining to the phenomenon of LGBTI+ mental health challenges. Aim: The study was aimed at exploring and describing the mental health challenges experienced by some people identifying as the LGBTI+ community in Gaborone, Botswana. Setting: The study was conducted in Gaborone in Botswana. Methods: The study adopted a qualitative, phenomenological, descriptive design with 15 participants identified through snowball sampling. LEGABIBO, the LGBTI+ advocacy organisation, served as gatekeeper after Health Research and Development Division under the Ministry of Health and Wellness gave the ethical clearance of the study. Data were collected through unstructured telephonic interviews and recorded with a digital voice recorder. Results: The study established that some LGBTI+ individuals experienced mental health challenges like experiences of depression, experiences of gender dysphoria, and loneliness and isolation. Conclusion: It is concluded that individuals identifying as LGBTI+ experience mental health challenges that stem from being stigmatised and discriminated among others. Contribution: The findings of the study provide information that may be used in dealing with mental health issues of individuals identifying as LGBTI+. Furthermore, the findings may inform nursing practice, research and education issues on LGBTI+ as well as influence health policy in addressing the mental health issues of those identifying as LGBTI+.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".