1. Resource Constraints: Limited funding and resources can hinder the implementation of high-quality data collection and management systems.
2. Training and Capacity Building: Ensuring that all personnel involved in the study are adequately trained can be challenging, particularly in low-resource settings.
3. Data Quality Issues: Inconsistent or incomplete data can compromise the quality of the study. Ensuring high data quality requires meticulous planning and execution.
