A REVIEW EVALUATING THE VALIDITY OF MOTION-BASED GAMING PLATFORMS TO MEASURE CLINICAL OUTCOMES IN CLINICAL RESEARCH

Author(s)

Byrom B1, Breedon P2, Muehlhausen W3
1ICON Clinical Research, Marlow, UK, 2Nottingham Trent University, Nottingham, UK, 3ICON plc, Dublin 18, Ireland

OBJECTIVES: Motion-based video game platforms provide the capability to track 3D body movements and may offer a versatile, easy to use and low-cost approach to measuring objective clinical outcomes. We reviewed published validation studies comparing clinical outcomes derived from video game platforms to gold-standard approaches. METHODS: We categorized studies in our review into three areas of application and summarized validation findings. We confined our review to studies using the Microsoft Kinect platform due to the volume of work in this area. RESULTS: Gait and balance: Six validation studies reported varied findings. One study in MS reported good correlation of most parameters with ClinROs; and a second study reported good validation of walk test parameters in Stroke patients. A treadmill test in healthy volunteers found Kinect under-estimated joint flexion and over-estimated extension; and a further study was able to detect gait disturbances in MS during a speed-walking test compared to healthy volunteers although correlation to clinician assessment was modest (r=0.447). Kinect use during a battery of balance and dexterity tests in PD accurately measured the timing (ICCs: 0.940-0.999) and gross spatial characteristics of clinically relevant movements, but spatial accuracy for smaller movements, such as hand clasping (ICC = 0.009) or toe tapping (ICC = 0.038), was poor. Upper extremity movement: Seven studies reported good validity in measurement of shoulder range of motion (rs > 0.8, ICCs > 0.864). Spirometry: One study reported strong correlation of spirometry parameters (r>0.866) estimated using multiple sensors to generate a 3D image of the chest. CONCLUSIONS: Motion-based video gaming platforms offer potential for low-cost assessment of movement and mobility in large-scale clinical trials without reliance on specialist centres. Studies report good validity in some application areas. The ability to provide the level of accuracy needed in more rapid and finer movements requires more validation work.

Conference/Value in Health Info

2016-10, ISPOR Europe 2016, Vienna, Austria

Value in Health, Vol. 19, No. 7 (November 2016)

Code

PRM4

Topic

Clinical Outcomes

Topic Subcategory

Clinical Outcomes Assessment

Disease

Multiple Diseases

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