abstract
- © 2021The prospective collection of clinical data can generate detailed information on heterogeneous populations. This article reviews the strengths and limitations of the collection of real-world data and provides insight into the feasibility of routine collection of high-quality evidence even in a resource-constrained setting. The acquisition of high-quality data to assess the clinical and psychosocial needs of young Mexican patients with breast cancer has been enhanced through the use of preplanned, standardized data definitions and instrumentation to provide internally and externally comparable results, optimization of data collection with web-based surveys, engagement of participants to minimize missing data, and routine review for data consistency. A similar approach by other research groups could improve the quality of real-world data and accomplish enhanced inference of information.