Factors associated with health-seeking behaviour among informal sector workers in the Kumasi metropolis of Ghana
Bibliographic record
Abstract
Even though studies have established that informal sector workers are prone to occupational-related diseases, not much is known about their health-seeking behaviour. This study aims to examine drivers of health-seeking behaviour among informal sector workers in the Kumasi metropolis of Ghana. A cross-sectional survey was conducted. Simple random sampling technique was used to select 350 informal sector workers. Questionnaires were used to collect the data. The study revealed that 33.5% of the participants practiced good health-seeking behaviour when they developed occupational-related diseases in 2016. The study further revealed that informal sector workers with five or more dependents (AOR: 8.482; CI: 1.265–56.872; p = 0.028) and those who spent more than an hour at a health facility (AOR: 24.040; CI: 8.508–67.927; p < 0.0001) were more probable to exhibit good health-seeking behaviour. Informal sector workers without active National Health Insurance Scheme [NHIS] (AOR: 0.149; CI: 0.052–0.430; p < 0.0001) and employees were less likely to adopt good health-seeking behaviour. Given the limited formal healthcare system and resources available, socio-demographic factors should be taken into consideration when formulating policies to encourage informal sector workers to adopt good health-seeking behaviour.
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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 | 0.014 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".