In evidence-based health research, “evidence” primarily refers to data and information gathered through validated measurements, specifically, the Outcome Measurement Instruments (OMIs). Our previous empirical experience in the development of instruments across both clinical and non-clinical populations have elucidated the role of methodology, application, and interpretation [
1]. Higher-grade and high-quality evidence effectively reduces measurement biases, enhancing the validity, precision, replicability, and communicability of research findings. However, identifying measurements that satisfy psychometric criteria while aligning with clinical experience presents a significant challenge. Consequently, improving measurement selection, minimizing errors and biases, and ensuring transparency and reliability have become central motivations for developing and implementing the PRISMA–COSMIN 2024 guidelines for reporting systematic reviews of OMIs. …