The Nigerian healthcare system faces significant challenges in providing equitable access to quality health services, particularly in underserved communities where community health centres (CHCs) play a crucial role. A mixed-methods approach combining quantitative time-series analysis with qualitative assessments was employed. The time-series model used was an autoregressive integrated moving average (ARIMA), with robust standard errors accounting for the uncertainty in parameter estimates. The ARIMA model indicated a significant positive trend in CHC utilisation over five years, with a coefficient of determination (R²) value of 0. 75, suggesting that 56% of the variability in usage can be explained by time-series factors. This study provides evidence supporting the use of ARIMA models for forecasting CHC utilisation and cost-effectiveness, offering a robust methodological framework for future research. Further studies should explore the impact of external factors on CHC performance and consider integrating additional data sources to enhance model accuracy.
Adekunbi et al. (Sun,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: