Patient_Reported_Outcome_Measures_in_Rheumatic_Diseases

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Investigators should justify the method chosen to combine items to create a score
or to combine domain scores to create a general score using qualitative research or
defined statistical techniques.
Total scores combining multiple domains should be supported by evidence that
the total score represents a single complex concept. Conceptual framework of a
PRO instrument: The instrument’s final conceptual framework documents the con-
cept represented by each score [ 3 ].


Validation of a PROM Instrument

Validation of different criteria of a PROM instrument requires the use of different
psychometric tests and setting off specific criteria would make the instrument ready
to be used for a certain objective fulfillment [ 54 ].


Acceptability and Data Quality—Completeness of item-level and scale-level data.


•    Score distributions: a relatively low number of persons at extreme (i.e., floor/
ceiling) ends of the measurement continuum and skewness testing
• Even distribution of endorsement frequencies across response categories
(>80 %)
• Percentage of item-level missing data (<10 %)
• Percentage of computable scale scores (>50 % completed items)
• Items in scales rated “not relevant” <35 %

Scaling Assumptions—Legitimacy of summing a set of items (items should mea-
sure a common underlying construct).


•    Similar items’ mean scores and SDs
• Positive residual “r” between items (<0.30) to assess model prediction.
• Items have adequate corrected Item to Total Correlation (ITC ≥ 0.3).
• High negative residual “r” (>0.60) suggests redundancy.
• Items have similar ITCs.
• Items sharing common variance suggest unidimensionality.
• Items do not measure at the same point on the scale.
• Evenly spaced items spanning whole measurement range.

Item Response Categories—Categories are set in a logical hierarchy.


•    Ordered set of response thresholds for each scale item.

Targeting—Extent to which the range of the variable measured by the scale matches
the range of that variable in the study sample.


•    Scale scores spanning entire scale range
• Person-item threshold distribution: person locations should be covered by
items.

M. El Gaafary
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