Methodological Evaluation of Rural Clinics Systems in Ghana Using Time-Series Forecasting Models for Clinical Outcomes Assessment

Rural clinics in Ghana face challenges in delivering consistent clinical outcomes due to resource limitations and variability in patient access. A systematic literature review was conducted using databases such as PubMed and Scopus. Studies published between and were included if they reported on the use of time-series forecasting models to assess clinical outcomes in rural Ghanaian clinics. One study employed an ARIMA model, finding a positive trend in patient recovery times with a $ARIMA(1,1,0)$ structure [mean recovery time: (95% CI) - (8.2 days, 11.3 days)]. The review highlights the potential of ARIMA models for improving clinical outcome assessments in rural Ghanaian settings. Further research should validate these findings and explore other forecasting methods that could be applied to diverse clinical outcomes.