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Background/Objectives: Haemophilia-related bleedings primarily affect the musculoskeletal system, and functional tests are used in clinical management. Yet, fine motor skills of the upper extremities have not been evaluated in adult persons with haemophilia (PwH). The Moberg Pick-Up Test (MPUT) assesses fine motor skills but has only been psychometrically evaluated in other cohorts. This study aims to examine its psychometric properties in PwH. Methods: A total of 40 moderate or severe PwH A or B were included. The MPUT, consisting of three trials, was conducted twice by rater A and once by rater B. The best performance per hand of each MPUT was used. Subjective hand function (Duruöz Hand Index (DHI) and numeric rating scale (NRS)), elbow joint status (Haemophilia Joint Health Score (HJHS)), pain (NRS), and wrist range of motion (ROM) were utilised for convergent validity evaluation. Inter-rater and test–retest reliability were determined through intraclass correlation coefficients (ICCs) for raw and log10-transformed data. Results: Inter-rater and test–retest reliability demonstrated moderate-to-excellent ICCs for both data types (ICC range: 0.624–0.918). The DHI correlated moderately with the average MPUT score of both hands (r = 0.410; p = 0.016). Left-hand MPUT scores did not correlate with left elbow HJHS scores, whereas right-hand MPUT scores correlated with right elbow HJHS scores (r = 0.396, p = 0.018). Subjective left-hand function (NRS) correlated with the results of the MPUT (r = 0.433; p = 0.009). Conclusions: The MPUT is a reliable and partially valid tool and can be useful to assess fine motor skills in PwH. Full article

In light of the state-of-the-art treatment options for patients with rheumatoid arthritis (RA), a detailed and early quantification and detection of impaired hand function is desirable to allow personalized treatment regiments and amend currently used subjective patient reported outcome measures. This is the motivation to apply and adapt modern measurement technologies to quantify, assess and analyze human hand movement using a marker-based optoelectronic measurement system (OMS), which has been widely used to measure human motion. We complement these recordings with data from markerless (Doppler radar) sensors and data from both sensor technologies are integrated with clinical outcomes of hand function. The technologies are leveraged to identify hand movement characteristics in RA affected patients in comparison to healthy control subjects, while performing functional tests, such as the Moberg-Picking-Up Test. The results presented discuss the experimental framework and present the limiting factors imposed by the use of marker-based measurements on hand function. The comparison of simple finger motion data, collected by the OMS, to data recorded by a simple continuous wave radar suggests that radar is a promising option for the objective assessment of hand function. Overall, the broad scope of integrating two measurement technologies with traditional clinical tests shows promising potential for developing new pathways in understanding of the role of functional outcomes for the RA pathology. Full article