Identifying and Addressing Common Rater Errors in MMSE Administration and Scoring

Although the MMSE is widely recognized and utilized by clinicians, our study revealed that errors in its administration and scoring are relatively common. Non-standardized practices can introduce variability and noise into clinical trial data, potentially compromising study outcomes. Addressing these issues requires the implementation of robust data quality monitoring strategies, such as central reviews and blinded data analysis, to promptly identify and correct errors, prevent recurrence, and ensure consistent rater calibration. Additionally, incorporating these findings into rater training programs can effectively reduce common errors, ultimately improving the accuracy and overall quality of data in clinical trials.