Causes of death among street-connected children and youth in Eldoret, Kenya
Bibliographic record
Abstract
BACKGROUND: Street-connected young people carry a disproportionate burden of morbidities, and engage in a variety of practices that may heighten their risk of premature mortality, yet there are currently no reports in the literature on the rates or risk factors for mortality among them, nor on their causes of death. In low- and middle-income countries they are frequently in situations that violate their human rights, likely contributing to their increased burden of morbidities and vulnerability to mortality. We thus sought to describe the number of deaths annually, causes of death, and determine the number of deaths attributable to HIV among street-connected young people aged 0 to 30 years in Eldoret, Kenya. METHODS: Eldoret, Kenya has approximately 1900 street-connected young people. We collected data on deaths occurring from October 2009 to December 2016 from Moi Teaching and Referral Hospital records, Academic Model Providing Access to Healthcare HIV program records, and utilized verbal autopsies when no records were available. Descriptive analyses were conducted stratified by sex and age category, and frequencies and proportions were calculated to provide an overview of the decedents. We used logistic regression to assess the association between underlying cause of death and sex, while controlling for age and location of death. RESULTS: In total there were 100-recorded deaths, 66 among males and 34 among females; 37% of were among those aged ≤18 years. HIV/AIDS (37%) was the most common underlying cause of death, followed by assault (36%) and accidents (10%) for all decedents. Among males, the majority of deaths were attributable to assault (49%) and HIV/AIDS (26%), while females primarily died due to HIV/AIDS (59%). CONCLUSION: Our results demonstrate a high number of deaths due to assault among males and HIV/AIDS among males and females. Our findings demonstrate the need for studies of HIV prevalence and incidence among this population to characterize the burden of HIV, particularly among young women given the higher number of deaths attributed to HIV/AIDS among them. Most deaths were preventable and require the urgent attention of service providers and policymakers to implement programs and services to prevent premature mortality and uphold children's rights.
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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 | 0.000 | 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 | 0.001 | 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".