The prevalence of asthma and its predictor among patients presenting in Ethiopian public hospitals: systematic review and meta-analysis, 2024
Bibliographic record
Abstract
BACKGROUND: Asthma is a leading cause of emergency hospital visits and a significant factor in lost productive hours. The lack of a synthesized body of knowledge on bronchial asthma has notable public health implications. OBJECTIVE: This systematic review and meta-analysis aim to investigate the prevalence of asthma and its predictors among patients presenting in Ethiopian public hospitals. DESIGN: Duplicate studies were removed using EndNote version X9. The Newcastle-Ottawa Scale guided the quality assessment, and data extraction followed the Joanna Briggs Institute format. DATA SOURCE AND METHODS: The authors used advanced search methods, including databases such as PubMed, Scopus, Embase, Africa Index Medicus, Science Direct, HINARI, Google Scholar, and manual searches. Data presentation adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. Publication bias was assessed using Egger's regression test and a funnel plot. Sensitivity analysis was also conducted. RESULTS: The search yielded 352 original articles, with 22 meeting the criteria for inclusion. Using the random-effects DerSimonian-Laird model, the prevalence of bronchial asthma was found to be 9.02% (95% CI: 7.50, 10.53). Several factors were associated with the prevalence of bronchial asthma, including the spring season (AOR 3.7; 95% CI: 2.11, 6.49), childhood age (AOR 4.2; 95% CI: 1.84, 9.55), and urban residence (AOR 1.7; 95% CI: 1.29, 2.31). Other significant factors include family history of asthma (AOR 2.89; 95% CI: 2.22, 3.75), insecticide exposure (AOR 3.3; 95% CI: 2.23, 4.91), and the presence of household insects like cockroaches (AOR 3.33; 95% CI: 2.15, 5.15). Smoking (AOR 3.64; 95% CI: 2.66, 4.98), obstructive sleep apnea (AOR 4.29; 95% CI: 2.37, 7.76), and recurrent upper respiratory tract infections (AOR 4.31; 95% CI: 2.24, 8.32) were also significant. CONCLUSION: The pooled prevalence of bronchial asthma is notably high in Ethiopia. Key predictors include childhood age, spring season, urban living, family history of asthma, exposure to insecticides, presence of cockroaches, smoking, obstructive sleep apnea, and recurrent upper respiratory infections. Targeted interventions are crucial and should focus on lifestyle improvements, allergen identification, cockroach control, smoking cessation, reducing insecticide exposure, and promoting a safe environment. TRIAL REGISTRATION: This review's protocol was pre-registered with the International Prospective Register of Systematic Reviews (PROSPERO registration number CRD42023491222).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.033 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.040 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".