How should missing data be handled in an InterRAI assessment?

How should missing data be handled in an InterRAI assessment?

• A. Record items as missing when information is not available and follow standardized coding guidelines; avoid guessing and document reasons for missing data.
• B. Guess missing values and fill with the mean.
• C. Leave items blank and skip the question.
• D. Delete items with missing data.

Answer: (A)

Handling missing data in InterRAI starts with recording items as missing using the standardized coding guidelines whenever information isn’t available. The key is to avoid guessing and to document the reason for the missing data, such as “not observed this visit,” “information not provided,” or “refused.” This approach keeps the data accurate and interpretable, preserves the integrity of scoring algorithms, and supports reliable comparisons across residents and settings. Recording missing data with clear reasons prevents bias that comes from imputing or guessing values, maintains consistency across assessors, and provides an audit trail for quality assurance. If new information surfaces later, you can update the missing status accordingly.

Handling missing data in InterRAI starts with recording items as missing using the standardized coding guidelines whenever information isn’t available. The key is to avoid guessing and to document the reason for the missing data, such as “not observed this visit,” “information not provided,” or “refused.” This approach keeps the data accurate and interpretable, preserves the integrity of scoring algorithms, and supports reliable comparisons across residents and settings.

Recording missing data with clear reasons prevents bias that comes from imputing or guessing values, maintains consistency across assessors, and provides an audit trail for quality assurance. If new information surfaces later, you can update the missing status accordingly.