The Disabilities of the Arm, Shoulder, and Hand questionnaire in intercollegiate athletes: Validity limited by ceiling effect

PROMIS Physical Function Computer Adaptive Test Compared With Other Upper Extremity Outcome Measures in the Evaluation of Proximal Humerus Fractures in Patients Older Than 60 Years

“…Other studies have also encountered ceiling effects when using the DASH and the SMFA. [30][31][32][33] We did not observe this type of skewed distribution with either the PROMIS PF CAT or the CSS; rather, scores from the PROMIS PF CAT and the CSS were normally distributed, with the mean score only slightly less than the 50th percentile for the PROMIS PF CAT (44.4) and slightly more than the 50th percentile for the CSS (58.0). These observed PROMIS PF CAT and CSS score distributions relative to the PF status of the general population were more expected for this participant-patient population.…”

Surgical complications following ESIN for clavicular mid-shaft fractures do not limit functional or patient-perceived outcome

“…While all recorded complications following ESIN resulted in revision surgery either under local or general anaesthesia, functional outcome measures and patient-perceived outcome seemed not to be affected by the event of an operatively managed complication. Here ceiling effects of the employed outcome measures could have resulted in an underestimation of the functional impact of the surgical complications [28].…”

A Unique Patient Population? Health-Related Quality of Life in Adolescent Athletes Versus General, Healthy Adolescent Individuals

“…[24][25][26] Furthermore, recent evidence suggests that athletes also tend to score differently on region-specific PRO measures, such as the Oswestry Low Back Pain Disability Questionnaire 47 and the Disabilities of the Arm, Shoulder, and Hand measure. 48 Normative values often serve as a frame of reference to guide clinical decisions during patient care and act as a basis for investigating the effectiveness of treatment interventions, so future authors should focus on establishing normative values for the adolescent athletic population for commonly used PRO measures. Due to several limitations within our dataset (eg, restricted geographic diversity), the PedsQL GCS values we report are likely insufficient to establish normative values for an adolescent athletic population.…”