Cognitive rehabilitation in multiple sclerosis: Three digital ingredients to address current and future priorities

Mobile Health App (DIGICOG-MS) for Self-Assessment of Cognitive Impairment in People With Multiple Sclerosis: Instrument Validation and Usability Study

BACKGROUND

Mobile health (mHealth) apps have proven useful for people with multiple sclerosis (MS). Thus, easy-to-use digital solutions are now strongly required to assess and monitor cognitive impairment, one of the most disturbing symptoms in MS that is experienced by almost 43% to 70% of people with MS. Therefore, we developed DIGICOG-MS (Digital assessment of Cognitive Impairment in Multiple Sclerosis), a smartphone- and tablet-based mHealth app to self-assess cognitive impairment in MS.

OBJECTIVE

This study aimed to test the validity and usability of the novel mHealth app with a sample of people with MS.

METHODS

DIGICOG-MS includes 4 digital tests assumed to evaluate the most affected cognitive domains in MS (visuospatial memory [VSM], verbal memory [VM], semantic fluency [SF], and information processing speed [IPS]) and inspired by traditional paper-based tests that assess the same cognitive functions (10/36 Spatial Recall Test, Rey Auditory Verbal Learning Test, Word List Generation, Symbol Digit Modalities Test). Participants were asked to complete both digital and traditional assessments in 2 separate sessions. Convergent validity was analyzed using the Pearson correlation coefficient to determine the strength of the associations between digital and traditional tests. To test the app's reliability, the agreement between 2 repeated measurements was assessed using intraclass correlation coefficients (ICCs). Usability of DIGICOG-MS was evaluated using the System Usability Scale (SUS) and mHealth App Usability Questionnaire (MAUQ) administered at the conclusion of the digital session.

RESULTS

The final sample consisted of 92 people with MS (60 women) followed as outpatients at the Italian Multiple Sclerosis Society (AISM) Rehabilitation Service of Genoa (Italy). They had a mean age of 51.38 (SD 11.36) years, education duration of 13.07 (SD 2.74) years, disease duration of 12.91 (SD 9.51) years, and a disability level (Expanded Disability Status Scale) of 3.58 (SD 1.75). Relapsing-remitting MS was most common (68/92, 74%), followed by secondary progressive (15/92, 16%) and primary progressive (9/92, 10%) courses. Pearson correlation analyses indicated significantly strong correlations for VSM, VM, SF, and IPS (all P<.001), with r values ranging from 0.58 to 0.78 for all cognitive domains. Test-retest reliability of the mHealth app was excellent (ICCs>0.90) for VM and IPS and good for VSM and SF (ICCs>0.80). Moreover, the SUS score averaged 84.5 (SD 13.34), and the mean total MAUQ score was 104.02 (SD 17.69), suggesting that DIGICOG-MS was highly usable and well appreciated.

CONCLUSIONS

The DIGICOG-MS tests were strongly correlated with traditional paper-based evaluations. Furthermore, people with MS positively evaluated DIGICOG-MS, finding it highly usable. Since cognitive impairment poses major limitations for people with MS, these findings open new paths to deploy digital cognitive tests for MS and further support the use of a novel mHealth app for cognitive self-assessment by people with MS in clinical practice.

Enhancing the Quality of Life of Patients with Multiple Sclerosis: Promising Results on the Role of Cognitive Tele-Rehabilitation Plus Virtual Reality

(1) Background: Patients with multiple sclerosis often face obstacles accessing traditional rehabilitation programs, primarily due to mobility limitations. Tele-rehabilitation (TR) is seen as a promising solution to overcome these barriers, though its precise influence on patients' quality of life (QoL) has not been thoroughly investigated. Thus, the aim of the present study was to assess the feasibility of a cognitive TR in a sample of Italian patients with MS. (2) Methods: Thirty-six patients diagnosed with MS, attending the Robotic and Behavioral Neurorehabilitation Unit of the IRCCS "Bonino-Pulejo" Neurolesi Center in Messina, Italy, between October 2019 and March 2020 were enrolled in the study. All patients were randomly assigned, using block randomization with a block size of 2 × 2, to two groups: the control group (CG), composed of 16 patients who received traditional cognitive training, and the experimental group (EG), composed of 20 patients who underwent TR training with a VRRS (virtual reality rehabilitation system). Each patient underwent an assessment before (T0) and immediately after (T1) the rehabilitation treatment, using the Quality of Life-54 Multiple Sclerosis (MSQoL-54). (3) Results: Only in the EG, we observed a statistically significant improvement in the QoL related to mental well-being following the paired T-test (MSQoL p-value < 0.001). Notably, no significant differences were found in the CG (MSQoL p-value of 0.67). (4) Conclusions: Our data suggest that TR training combined with VR has the potential to improve the well-being of individuals with MS.