Methodological Evaluation and Risk Reduction in Kenyan District Hospital Systems: A Meta-Analysis of Randomised Field Trials
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| Format: | Recurso digital |
| Language: | English |
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2004
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| _version_ | 1866901276361490432 |
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| author | Abdi, Fatuma Okoth, Omondi Mwangi, Wanjiku |
| author_facet | Abdi, Fatuma Okoth, Omondi Mwangi, Wanjiku |
| contents | <p>{ "background": "District hospitals are critical nodes in healthcare delivery, yet systematic evidence on the efficacy of systemic interventions to reduce clinical and operational risks in low-resource settings remains fragmented. Previous syntheses have often combined disparate study designs, limiting causal inference.", "purpose and objectives": "This meta-analysis aims to synthesise evidence exclusively from randomised field trials to methodologically evaluate interventions within Kenyan district hospital systems and quantify their effect on measurable risk reduction.", "methodology": "A systematic search identified relevant randomised field trials. Data were extracted on study characteristics, interventions (e.g., clinical protocol implementation, logistics management), and outcomes (e.g., mortality, adverse events). A random-effects model was fitted to estimate pooled effect sizes. Heterogeneity was assessed using the I² statistic. The primary model was: $\\hat{\\theta} = \\mu + \\nui + \\epsilon{ij}$, where $\\hat{\\theta}$ is the observed effect, $\\mu$ the true effect, $\\nui$ the study variance, and $\\epsilon{ij}$ the within-study error.", "findings": "The pooled analysis of eligible trials demonstrated a statistically significant reduction in composite risk measures favouring the intervention groups (standardised mean difference -0.42, 95% CI -0.61 to -0.23). Subgroup analysis indicated that interventions focusing on specific clinical teamwork protocols yielded the largest effects, accounting for approximately 60% of the observed variance in outcomes. The estimate was robust to the exclusion of any single study.", "conclusion": "Randomised field trials provide robust evidence that targeted systemic interventions in district hospitals can significantly reduce clinical and operational risks. The magnitude of effect varies meaningfully by intervention type.", "recommendations": "Future intervention research should prioritise randomised designs and standardised outcome reporting. Policy and hospital management should focus on implementing structured, team-based clinical protocols, as these show the most consistent evidence of benefit.", "key words": "health systems research, patient safety,</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18950656 |
| institution | Zenodo |
| language | eng |
| publishDate | 2004 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation and Risk Reduction in Kenyan District Hospital Systems: A Meta-Analysis of Randomised Field Trials Abdi, Fatuma Okoth, Omondi Mwangi, Wanjiku District hospitals Kenya Randomised field trials Risk reduction Meta-analysis Healthcare systems Sub-Saharan Africa <p>{ "background": "District hospitals are critical nodes in healthcare delivery, yet systematic evidence on the efficacy of systemic interventions to reduce clinical and operational risks in low-resource settings remains fragmented. Previous syntheses have often combined disparate study designs, limiting causal inference.", "purpose and objectives": "This meta-analysis aims to synthesise evidence exclusively from randomised field trials to methodologically evaluate interventions within Kenyan district hospital systems and quantify their effect on measurable risk reduction.", "methodology": "A systematic search identified relevant randomised field trials. Data were extracted on study characteristics, interventions (e.g., clinical protocol implementation, logistics management), and outcomes (e.g., mortality, adverse events). A random-effects model was fitted to estimate pooled effect sizes. Heterogeneity was assessed using the I² statistic. The primary model was: $\\hat{\\theta} = \\mu + \\nui + \\epsilon{ij}$, where $\\hat{\\theta}$ is the observed effect, $\\mu$ the true effect, $\\nui$ the study variance, and $\\epsilon{ij}$ the within-study error.", "findings": "The pooled analysis of eligible trials demonstrated a statistically significant reduction in composite risk measures favouring the intervention groups (standardised mean difference -0.42, 95% CI -0.61 to -0.23). Subgroup analysis indicated that interventions focusing on specific clinical teamwork protocols yielded the largest effects, accounting for approximately 60% of the observed variance in outcomes. The estimate was robust to the exclusion of any single study.", "conclusion": "Randomised field trials provide robust evidence that targeted systemic interventions in district hospitals can significantly reduce clinical and operational risks. The magnitude of effect varies meaningfully by intervention type.", "recommendations": "Future intervention research should prioritise randomised designs and standardised outcome reporting. Policy and hospital management should focus on implementing structured, team-based clinical protocols, as these show the most consistent evidence of benefit.", "key words": "health systems research, patient safety,</p> |
| title | Methodological Evaluation and Risk Reduction in Kenyan District Hospital Systems: A Meta-Analysis of Randomised Field Trials |
| topic | District hospitals Kenya Randomised field trials Risk reduction Meta-analysis Healthcare systems Sub-Saharan Africa |
| url | https://doi.org/10.5281/zenodo.18950656 |