Prevalence of Surgical Conditions in Individuals Aged More Than 50 Years: A Cluster‐Based Household Survey in Sierra Leone
Bibliographic record
Abstract
BACKGROUND: With the demographic transition disproportionately affecting developing nations, the healthcare burden associated with the elderly is likely to be compounded by poor baseline surgical capacity in these settings. We sought to assess the prevalence of surgical disease and disability in the elderly population of Sierra Leone to guide future development strategies. METHODS: A cluster randomized, cross-sectional household survey was carried out countrywide in Sierra Leone from January 9th to February 3rd 2012. Using a standardized questionnaire, household member demographics, deaths occurring during the previous 12 months, and presence of any current surgical condition were elucidated. A retrospective analysis of individuals aged 50 and over was performed. RESULTS: The survey included 1,843 households with a total of 3,645 respondents. Of these, 13.6 % (496/3,645) were aged over 50 years. Of the elderly individuals in our sample, 301 (60.7 %) reported a current surgical condition. Of current surgical disease identified among elderly individuals (n = 530), 349 (65.8 %) described it as disabling, and 223 (42.1 %) sought help from traditional medicine practitioners. Women (odds ratio [OR] 0.60; 95 % confidence interval [CI] 0.40-0.90) and individuals living in urban settings (OR 0.44, 95 % CI 0.26-0.75) were less likely to report a current surgical problem. Of the 230 elderly deaths in the previous year, 83 (36.1 %) reported a surgical condition in the week prior. CONCLUSIONS: The unmet burden of surgical disease is prevalent in the elderly in low-resource settings. This patient population is expected to grow significantly in the coming years, and more resources should be allocated to address their surgical needs.
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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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".