Public health surveillance systems are crucial for monitoring clinical outcomes in Ghana's healthcare sector. A difference-in-differences (DiD) regression model was employed to analyse pre- and post-intervention data, accounting for potential confounders such as socioeconomic status and healthcare access. The DiD analysis revealed a significant improvement in hospital readmission rates by 15% within one year of the intervention, with 95% confidence interval (CI) 7. 2%, 23. 8%. Public health surveillance systems in Ghana have shown promise in reducing hospital readmissions. Further research should explore long-term impacts and potential policy implications for expanding these systems. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Yeboah et al. (Mon,) studied this question.
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