RESUMEN
BACKGROUND: Hand dexterity is an important clinical marker after hand surgery as it can greatly impact one's ability to perform their day-to-day activities. With the increased focus on remote patient monitoring after hand surgery, new technologies are required to remotely monitor hand dexterity. PURPOSE: The purpose of this study is to identify dexterity outcomes using the web application "DIGITS" and compare these outcomes to the nine-hole-pegboard test (NHPT). STUDY DESIGN: Cross-sectional observational study. METHODS: This was a two-part study with a pilot of our remote dexterity design using DIGITS followed by a validation study comparing DIGITS to a gold-standard metric of dexterity, NHPT. The pilot study recruited 42 healthy subjects between the ages of 18-65 to perform a remote finger tapping exercise using DIGITS. The second part of the study included 50 subjects between the ages of 18-65. Participants completed a demographic questionnaire and then completed three finger tapping sequences for 20 seconds using DIGITS and three trials of the NHPT with each hand. Correlational analyses were done to compare the DIGITS dexterity test with the NHPT. RESULTS: Four outcome measures to assess dexterity were identified, which included (1) total sequences completed in 20 seconds, (2) time to complete 10 sequences, (3) average frequency per sequence, and (3) sequence accuracy. Significant negative correlations were found with the NHPT and total sequences completed in 20 seconds in both dominant and non-dominant hand trials. Additionally, significant negative correlations were found between the NHPT and the time to complete 10 sequences and average frequency in the non-dominant hand trials. CONCLUSIONS: This study shows promising results for the use of DIGITS as a remote measure of hand dexterity. The total number of sequences completed significantly correlates with the NHPT and should be further explored in representative patient populations.
RESUMEN
Purpose: We have previously developed DIGITS, a platform for remote evaluation of range of motion, dexterity, and swelling of fingers for reducing barriers to accessing clinical resources. The current study was aimed at evaluating DIGITS across different devices with varied operating systems and camera resolutions using a single person's hands. Methods: Our team has now developed a web application version of the DIGITS platform, which makes it accessible on any device that is equipped with a camera, including computers, tablets, and smartphones. In the present study, we aimed to validate this web application by comparing flexion and extension measurements on the same person's hands using three different devices with cameras of different resolutions. The absolute difference, SD, standard mean error, and intraclass correlation coefficient were calculated. Additionally, equivalency testing was performed using the confidence interval approach. Results: Our findings indicated that the differences in degree measured between the devices ranged from 2° to 3° when digit extension was assessed (all hand landmarks are visible in the camera's direct view) and from 3° to 8° when digit flexion was assessed (some of the hand landmarks are hidden from view). The intraclass correlation coefficient of individual trials ranged from 0.82 to 0.96 for extension and 0.77 to 0.87 for flexion across all devices. Additionally, within a 90% confidence interval, our data showed equivalency with measurements using three different devices. Conclusions: The absolute differences were within an acceptable 9° tolerance for measurements taken between devices for flexion and extension. Equivalency was observed for measurements of finger range of motion taken using DIGITS, regardless of devices, platforms, or camera resolutions. Clinical relevance: In summary, the DIGITS web application has good test-retest reliability to generate data on finger range of motion for hand telerehabilitation. DIGITS can reduce costs to patients, providers, and health care facilities for conducting postoperative follow-up assessments.