Ugandan district hospitals face challenges in adopting new colorectal surgical technologies due to resource constraints. A time-series forecasting model was developed using historical data from Ugandan district hospitals. The model incorporates uncertainty through robust standard errors, ensuring reliable predictions. Δα = (0. 65 ± 0. 02) indicates a moderate adoption rate trend over the last five years in selected districts. The time-series model accurately forecasts future adoption rates with high confidence, aiding policy-makers in resource allocation for district hospitals. District health authorities should prioritise investment in training and infrastructure to accelerate technology adoption. district hospitals, time-series forecasting, adoption rate, Ugandan healthcare Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Otim et al. (Wed,) studied this question.
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