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Validity of a Smartphone App to Objectively Monitor Performance Outcomes in Degenerative Cervical Myelopathy: Preliminary Findings From a Longitudinal Observational Study

Validity of a Smartphone App to Objectively Monitor Performance Outcomes in Degenerative Cervical Myelopathy: Preliminary Findings From a Longitudinal Observational Study

We hypothesized that the magnitude of correlations between outcomes measuring similar constructs should be ≥0.5; the magnitude of correlations between outcomes measuring related, but dissimilar, constructs should be ≥0.3, and ideally As reported in Yanez Touzet et al [6], constructs were defined as “similar” if they both measured the same domain with a unidimensional instrument.

Alvaro Yanez Touzet, Tatiana Houhou, Zerina Rahic, Ilya Laufer, Konstantinos Margetis, Allan R Martin, Nicolas Dea, Zoher Ghogawala, Misha Kapushesky, Mark R N Kotter, Benjamin M Davies, MoveMed

JMIR Neurotech 2024;3:e52832

Reliability of a Smartphone App to Objectively Monitor Performance Outcomes in Degenerative Cervical Myelopathy: Observational Study

Reliability of a Smartphone App to Objectively Monitor Performance Outcomes in Degenerative Cervical Myelopathy: Observational Study

Content and construct validity were previously assessed by Yanez Touzet et al [5]. In this study, tap count and latency were used as reflective measures of finger dexterity. The typing test is another Perf O task that assesses finger dexterity through a 2-stage smartphone touch-based task. Users are shown a demonstrative cartoon (Figure 2 B) and instructed to “type as correctly as they can, without rushing.” In-app video demonstration is also available.

Alvaro Yanez Touzet, Tatiana Houhou, Zerina Rahic, Angelos Kolias, Stefan Yordanov, David B Anderson, Ilya Laufer, Maggie Li, Gordan Grahovac, Mark RN Kotter, Benjamin M Davies, MoveMed Ltd

JMIR Form Res 2024;8:e56889