Mental health crisis in Somalia: a review and a way forward
Bibliographic record
Abstract
BACKGROUND: Somalia has been without an effective government since the collapse of the military regime in 1991. Years of conflict, disasters, and insecurity have all contributed to very low scores for most health indicators due to poor governance, protracted conflict, underdevelopment, economic decline, poverty, social and gender inequality, and environmental degradation. The three-decade long protracted conflict has led to widespread psychosocial trauma, social deprivation and substance abuse with devastating consequences on mental health. A WHO study showed Somalia has one of the highest rates of mental illness in the world. The main aim of this study is to assist policy makers in setting priorities for the design and delivery of interventions to promote mental health and psychosocial wellbeing in Somalia. METHODS: The study uses a systematic mapping technique (from January 1991 to May 2020) and data collected from public domain, to collect, collate, and present mental health data mainly from WHO's Global Health Observatory. Since there is no primary database for Somalia's public health research, the bibliographic databases used for mental health in this study included Medline, PubMed, CINAHL, PsycINFO, and Google Scholar. Data were extracted using techniques for web data mining for public health. RESULTS: Systematic mapping of mental health-related issues in Somalia showed that policy-related determinants and mental health services dominated (74.4%), followed by the disaster-related determinants and women's health consequences (39.3%). The ratio of the number of beds for mental health in general hospitals (per 100,000 population) in Somalia in 2017 is 0.5 compared to the Eastern Mediterranean region (EMR) at 6.4 and globally at 24. One of the biggest casualties of the civil war was loss of essential human resources in healthcare as most either fled the country or were part of the victims of the war. CONCLUSIONS: The vast scale of the mental health problems in Somalia and the priority setting guidelines for interventions to address the issues outlined in this paper, prompt a dire need that the Somali government and its national/international partners should prioritize and emphasize the need to invest in the prevention and the treatment of mental illness across the country.
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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) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".