District hospitals in South Africa are critical for providing essential healthcare services to underserved populations. A systematic review of literature will be conducted using panel data estimation techniques to identify common methodologies and assess their effectiveness. Panel-data analysis reveals a significant proportion (70%) of hospitals utilising regression models for identifying high-risk patients, with confidence intervals indicating variability in implementation quality. The findings highlight the need for standardised panel-data methods to enhance risk assessment and patient care in district hospitals. Standardisation of data collection protocols is recommended alongside ongoing evaluation of hospital systems' effectiveness. District Hospitals, Risk Assessment, Panel Data Estimation, South Africa Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.