Toward Digital Self-monitoring of Multiple Sclerosis

Wendrich, Karine; Oirschot, Pim van; Martens, Marijn B.; Heerings, Marco; Jongen, Peter Joseph; Krabbenborg, Lotte

doi:10.7224/1537-2073.2018-083

Cited by 36 publications

(27 citation statements)

References 30 publications

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“…With regards to the method of attachment, eight different methods were used (Table 4 ) of which straps (45.9%; n = 17) [ 35 – 41 , 43 , 46 , 47 , 49 , 54 , 57 – 61 , 70 ] and clips were the most commonly used (16.2%; n = 6) [ 45 , 52 , 56 , 62 , 64 , 65 ]. Nine studies failed to report how the wearable was attached to the body (24.3%) [ 42 , 45 , 48 , 50 , 51 , 55 , 63 , 68 , 69 ], while four failed to report where they were attached (10.8%) [ 42 , 63 , 65 , 68 ].…”

Section: Resultsmentioning

confidence: 99%

“…Required engagement from participants was poorly reported and was unclear or not reported in 45.9% of studies (n = 17) [ 34 , 35 , 37 , 38 , 40 , 47 , 49 , 51 – 53 , 56 – 58 , 60 , 61 , 66 , 67 ]. However when it was explicitly reported, 52.4% (n = 11) required participants to engage with an exercise or behavioural programme as part of their use of the wearable device [ 38 , 42 – 44 , 46 , 48 , 54 , 55 , 57 , 63 , 68 ].…”

Section: Resultsmentioning

confidence: 99%

“…2 ), specifically questionnaires (45.9% n = 17) [ 34 – 37 , 40 , 43 – 45 , 48 , 49 , 51 – 54 , 57 , 66 , 69 ]. Eight studies used only qualitative methods such as interviews or focus groups (21.6%) [ 38 , 41 , 47 , 55 , 56 , 65 , 68 , 70 ], a further nine implemented mixed methods (24.3%) [ 39 , 42 , 46 , 50 , 60 , 62 , 63 , 65 , 67 ], two studies failed to report what methods they used, yet reported usability findings in their results or conclusions (5.4%) [ 59 , 61 ], while a single study used researcher observations and field notes to document participants words and perceived usability (2.7%) [ 58 ].

Fig.…”

Section: Resultsmentioning

confidence: 99%

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Assessing the usability of wearable devices to measure gait and physical activity in chronic conditions: a systematic review

Keogh

Argent

Anderson

et al. 2021

J NeuroEngineering Rehabil

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Background The World Health Organisation’s global strategy for digital health emphasises the importance of patient involvement. Understanding the usability and acceptability of wearable devices is a core component of this. However, usability assessments to date have focused predominantly on healthy adults. There is a need to understand the patient perspective of wearable devices in participants with chronic health conditions. Methods A systematic review was conducted to identify any study design that included a usability assessment of wearable devices to measure mobility, through gait and physical activity, within five cohorts with chronic conditions (Parkinson’s disease [PD], multiple sclerosis [MS], congestive heart failure, [CHF], chronic obstructive pulmonary disorder [COPD], and proximal femoral fracture [PFF]). Results Thirty-seven studies were identified. Substantial heterogeneity in the quality of reporting, the methods used to assess usability, the devices used, and the aims of the studies precluded any meaningful comparisons. Questionnaires were used in the majority of studies (70.3%; n = 26) with a reliance on intervention specific measures (n = 16; 61.5%). For those who used interviews (n = 17; 45.9%), no topic guides were provided, while methods of analysis were not reported in over a third of studies (n = 6; 35.3%). Conclusion Usability of wearable devices is a poorly measured and reported variable in chronic health conditions. Although the heterogeneity in how these devices are implemented implies acceptance, the patient voice should not be assumed. In the absence of being able to make specific usability conclusions, the results of this review instead recommends that future research needs to: (1) Conduct usability assessments as standard, irrespective of the cohort under investigation or the type of study undertaken. (2) Adhere to basic reporting standards (e.g. COREQ) including the basic details of the study. Full copies of any questionnaires and interview guides should be supplied through supplemental files. (3) Utilise mixed methods research to gather a more comprehensive understanding of usability than either qualitative or quantitative research alone will provide. (4) Use previously validated questionnaires alongside any intervention specific measures.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Fig.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Assessing the usability of wearable devices to measure gait and physical activity in chronic conditions: a systematic review

Keogh

Argent

Anderson

et al. 2021

J NeuroEngineering Rehabil

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“…In particular, we investigated if the outcomes of the smartphone tests were in agreement with the outcomes of corresponding clinical tests, namely, SDMT, the 2-minute walking test (2MWT), and the Timed Up and Go test (TUG). The other results from the interviews as well as a description of the methodology have recently been published [ 26 ]. Separate research papers on the s2MWT, the sWBT, and the Fitbit data are in preparation.…”

Section: Introductionmentioning

confidence: 99%

Symbol Digit Modalities Test Variant in a Smartphone App for Persons With Multiple Sclerosis: Validation Study

Oirschot¹,

Heerings²,

Wendrich³

et al. 2020

JMIR Mhealth Uhealth

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Background The decline of cognitive processing speed (CPS) is a common dysfunction in persons with multiple sclerosis (MS). The Symbol Digit Modalities Test (SDMT) is widely used to formally quantify CPS. We implemented a variant of the SDMT in MS sherpa, a smartphone app for persons with MS. Objective The aim of this study was to investigate the construct validity and test-retest reliability of the MS sherpa smartphone variant of the SDMT (sSDMT). Methods We performed a validation study with 25 persons with relapsing-remitting MS and 79 healthy control (HC) subjects. In the HC group, 21 subjects were matched to the persons with MS with regard to age, gender, and education and they followed the same assessment schedule as the persons with MS (the “HC matched” group) and 58 subjects had a less intense assessment schedule to determine reference values (the “HC normative” group). Intraclass correlation coefficients (ICCs) were determined between the paper-and-pencil SDMT and its smartphone variant (sSDMT) on 2 occasions, 4 weeks apart. Other ICCs were determined for test-retest reliability, which were derived from 10 smartphone tests per study participant, with 3 days in between each test. Seven study participants with MS were interviewed regarding their experiences with the sSDMT. Results The SDMT scores were on average 12.06% higher than the sSDMT scores, with a standard deviation of 10.68%. An ICC of 0.838 was found for the construct validity of the sSDMT in the combined analysis of persons with MS and HC subjects. Average ICCs for test-retest reliability of the sSDMT for persons with MS, the HC matched group, and the HC normative group were 0.874, 0.857, and 0.867, respectively. The practice effect was significant between the first and the second test of the persons with MS and the HC matched group and trivial for all other test-retests. The interviewed study participants expressed a positive attitude toward the sSDMT, but they also discussed the importance of adapting a smartphone cognition test in accordance with the needs of the individual persons with MS. Conclusions The high correlation between sSDMT and the conventional SDMT scores indicates a very good construct validity. Similarly, high correlations underpin a very good test-retest reliability of the sSDMT. We conclude that the sSDMT has the potential to be used as a tool to monitor CPS in persons with MS, both in clinical studies and in clinical practice.

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“…Furthermore, gaming-based systems such as the Nintendo ® Wii ® Fit console or Kinect motion sensor motivate patients to use eHealth applications [ 1 , 9 ]. The adaptation of digital self-monitoring tools to a patient’s personal situation, guidance to increase the value of the data and integration of digital self-monitoring into treatment plans are features that can increase user acceptance [ 91 ]. The design of eHealth interventions must be tailored to different users and consider a wide range of aspects.…”

Section: Resultsmentioning

confidence: 99%

Electronic Health Interventions in the Case of Multiple Sclerosis: From Theory to Practice

et al. 2021

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(1) Background: eHealth interventions play a growing role in shaping the future healthcare system. The integration of eHealth interventions can enhance the efficiency and quality of patient management and optimize the course of treatment for chronically ill patients. In this integrative review, we discuss different types of interventions, standards and advantages of quality eHealth approaches especially for people with multiple sclerosis (pwMS). (2) Methods: The electronic databases PubMed, Cochrane and Web of Science were searched to identify potential articles for eHealth interventions in pwMS; based on 62 articles, we consider different ways of implementing health information technology with various designs. (3) Results: There already exist some eHealth interventions for single users with a single-use case, interventions with a social setting, as well as eHealth interventions that integrate various single and social interventions and even those that may be used additionally for complex use cases. A key determinant of consumer acceptance is a high-quality user-centric design for healthcare practitioners and pwMS. In pwMS, the different neurological disabilities should be considered, and particular attention must be paid to the course of the treatment and the safety processes of each treatment option. (4) Conclusion: Depending on the field of application and the respective users, interventions are designed for single, social, integrated or complex use. In order to be accepted by their target group, interventions must be beneficial and easy to use.

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Toward Digital Self-monitoring of Multiple Sclerosis

Cited by 36 publications

References 30 publications

Assessing the usability of wearable devices to measure gait and physical activity in chronic conditions: a systematic review

Assessing the usability of wearable devices to measure gait and physical activity in chronic conditions: a systematic review

Symbol Digit Modalities Test Variant in a Smartphone App for Persons With Multiple Sclerosis: Validation Study

Electronic Health Interventions in the Case of Multiple Sclerosis: From Theory to Practice

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