A Closed-Loop Falls Monitoring and Prevention App for Multiple Sclerosis Clinical Practice: Human-Centered Design of the Multiple Sclerosis Falls InsightTrack.

BACKGROUND: Falls are common in people with multiple sclerosis (MS), causing injuries, fear of falling, and loss of independence. Although targeted interventions (physical therapy) can help, patients underreport and clinicians undertreat this issue. Patient-generated data, combined with clinical data, can support the prediction of falls and lead to timely intervention (including referral to specialized physical therapy). To be actionable, such data must be efficiently delivered to clinicians, with care customized to the patient's specific context. OBJECTIVE: This study aims to describe the iterative process of the design and development of Multiple Sclerosis Falls InsightTrack (MS-FIT), identifying the clinical and technological features of this closed-loop app designed to support streamlined falls reporting, timely falls evaluation, and comprehensive and sustained falls prevention efforts. METHODS: Stakeholders were engaged in a double diamond process of human-centered design to ensure that technological features aligned with users' needs. Patient and clinician interviews were designed to elicit insight around ability blockers and boosters using the capability, opportunity, motivation, and behavior (COM-B) framework to facilitate subsequent mapping to the Behavior Change Wheel. To support generalizability, patients and experts from other clinical conditions associated with falls (geriatrics, orthopedics, and Parkinson disease) were also engaged. Designs were iterated based on each round of feedback, and final mock-ups were tested during routine clinical visits. RESULTS: A sample of 30 patients and 14 clinicians provided at least 1 round of feedback. To support falls reporting, patients favored a simple biweekly survey built using REDCap (Research Electronic Data Capture; Vanderbilt University) to support bring-your-own-device accessibility-with optional additional context (the severity and location of falls). To support the evaluation and prevention of falls, clinicians favored a clinical dashboard featuring several key visualization widgets: a longitudinal falls display coded by the time of data capture, severity, and context; a comprehensive, multidisciplinary, and evidence-based checklist of actions intended to evaluate and prevent falls; and MS resources local to a patient's community. In-basket messaging alerts clinicians of severe falls. The tool scored highly for usability, likability, usefulness, and perceived effectiveness (based on the Health IT Usability Evaluation Model scoring). CONCLUSIONS: To our knowledge, this is the first falls app designed using human-centered design to prioritize behavior change and, while being accessible at home for patients, to deliver actionable data to clinicians at the point of care. MS-FIT streamlines data delivery to clinicians via an electronic health record-embedded window, aligning with the 5 rights approach. Leveraging MS-FIT for data processing and algorithms minimizes clinician load while boosting care quality. Our innovation seamlessly integrates real-world patient-generated data as well as clinical and community-level factors, empowering self-care and addressing the impact of falls in people with MS. Preliminary findings indicate wider relevance, extending to other neurological conditions associated with falls and their consequences.

"Self-care selfies": Patient-uploaded videos capture meaningful changes in dexterity over 6 months.

OBJECTIVE: Upper extremity function reflects disease progression in multiple sclerosis (MS). This study evaluated the feasibility, validity, and sensitivity to change of remote dexterity assessments applying human pose estimation to patient-uploaded videos. METHODS: A discovery cohort of 50 adults with MS recorded "selfie" videos of self-care tasks at home: buttoning, brushing teeth, and eating. Kinematic data were extracted using MediaPipe Hand pose estimation software. Clinical comparison tests were grip and pinch strength, 9 hole peg test (9HPT), and vibration, and patient-reported dexterity assessments (ABILHAND). Feasibility and acceptability were evaluated (Health-ITUES framework). A validation cohort (N = 35) completed 9HPT and videos. RESULTS: The modality was feasible: 88% of the 50 enrolled participants uploaded ≥3 videos, and 74% completed the study. It was also usable: assessments easy to access (95%), platform easy to use (97%), and tasks representative of daily activities (86%). The buttoning task revealed four metrics with strong correlations with 9HPT (nondominant: r = 0.60-0.69, dominant: r = 0.51-0.57, P < 0.05) and ABILHAND (r = -0.48, P = 0.05). Retest validity at 1 week was stable (r > 0.8). Cross-sectional correlations between video metrics and 9HPT were similar at 6 months, and in the validation cohort (nondominant: r = 0.46, dominant: r = 0.45, P < 0.05). Over 6 months, pinch strength (5.8-5.0 kg/cm2 , P = 0.05) and self-reported pinch (ABILHAND) decreased marginally. While only 15% of participants worsened by 20% on 9HPT, 70% worsened in key buttoning video metrics. INTERPRETATION: Patient-uploaded videos represent a novel, patient-centered modality for capturing dexterity that appears valid and sensitive to change, enhancing its potential to be disseminated for neurological disease monitoring and treatment.

Fall Assessment and Monitoring in People With Multiple Sclerosis: A Practical Evidence-Based Review for Clinicians.

Purpose of Review: Falls occur in more than half of all people with multiple sclerosis (MS) but tend to be underdiagnosed and underreported in clinical encounters. This narrative review aims to summarize evidence-based approaches for evaluating fall risk and proven treatment strategies to reduce falling in people with MS to improve care for people with MS and to enhance interprofessional care coordination between treating neurologic and physical therapy (PT) teams. Recent Findings: Screening not just for falls but for near-falls as well because fear of falling can improve fall assessment and identify patients who may benefit from fall prevention interventions. A number of barriers, including time constraints during visits and the fallacy that falling is inevitable in MS, can limit clinician awareness about patient falls and delay timely referral to PT. Consultation with physical therapists for individualized fall prevention treatment can reduce risk of falling. Interventional studies have also shown that PT-guided exercise programs improve balance confidence in people with MS. However, people with MS are often under-referred to PT by treating clinicians. Summary: A clinical approach is provided to summarize practical, accessible, evidence-based, low-burden measurements and interventions likely to improve ascertainment of patients at risk of falling and optimize timely PT referral and treatment.

Accessibility to Telerehabilitation Services for People With Multiple Sclerosis: Analysis of Barriers and Limitations.

BACKGROUND: In multiple sclerosis (MS), telemedicine improves access to specialized medical care; however, barriers remain, including universal access and effective implementation. Focusing on telerehabilitation, ie, remotely delivered physical therapy, our goal was to identify barriers to telerehabilitation implementation and factors associated with patients completing telerehabilitation physical therapy treatment. METHODS: Quantitative data included a review of electronic health records of patients with MS treated at the University of California San Francisco Physical Therapy Faculty Practice. We extracted demographic, clinical, and transit-related factors. For patients who scheduled an initial evaluation, we recorded the number of follow-ups, cancellations, completed physical therapy goals, and discharges. Qualitative data included interviews with 3 board-certified neurologic physical therapists and patients' perspectives recorded in the subjective portion of physical therapy notes. RESULTS: We identified 111 patients with at least 1 visit (in-person or telerehabilitation) to physical therapy (82 women; mean ± SD age, 54.2 ± 12.7 years). Patients with no disability (Expanded Disability Status Scale [EDSS] score, 0) were 73% less likely to schedule a follow-up appointment (in-person or telerehabilitation) than those with some disability (EDSS score, >0) (odds ratio, 0.27; 95% CI, 0.09-0.75; P = .012). Neurologic physical therapists identified reduced travel burden and scheduling flexibility as benefits of telerehabilitation vs in-person visits. Barriers to telerehabilitation included low technological literacy, cognitive impairment, and fall risk. Patients described scheduling conflicts and pain/illness as barriers to telerehabilitation. CONCLUSIONS: Patients with no disability were least likely to complete physical therapy treatment via telerehabilitation. Although both benefits and barriers to completing physical therapy via telerehabilitation are present, the neurologic physical therapists were supportive of a hybrid model for physical therapy.

Challenges to Longitudinal Characterization of Lower Urinary Tract Dysfunction in Multiple Sclerosis.

BACKGROUND: Neurogenic lower urinary tract dysfunction (LUTD) results in lower urinary tract symptoms (LUTS) that impact quality of life in people with multiple sclerosis (PwMS). The risk factors and the contribution of LUTD to multiple sclerosis (MS) disease progression are under-researched. OBJECTIVE: To identify clinical and demographic predictors of LUTS in PwMS and gaps in clinical ascertainment. METHODS: Participants were adults with MS enrolled in a prospective, multicenter study (SUMMIT, N=802), including a subset of N = 258 patients in the UCSF EPIC study for whom medical records were further reviewed. Demographic (age, sex, race, ethnicity), clinical (disease duration, MS type), and female-specific reproductive factors (e.g., parity) were evaluated to determine associations with bowel/bladder functional system score. Participants' medical records were analyzed to understand the patterns of LUTS ascertainment by physicians and the specific contribution of LUTS to overall bowel/bladder functional system scores. RESULTS: 802 participants (71.3% female) contributed to these analyses. Higher bowel/bladder functional system scores, indicating worsening symptoms and function, were significantly associated with female sex (p=0.001) and progressive MS type (p≤ 0.001). In the EPIC participants, female-specific reproductive exposures (parity, menopause) were not significantly associated with worse bowel/bladder functional system scores. Most (98%) bowel/bladder functional system scores reflected the severity of LUTS (relative to bowel dysfunction). LUTS were under-ascertained clinically, and more so in women (X2 = 5.02, p=0.08). CONCLUSIONS: Female sex and MS type are predictive of worsening LUTS. Symptoms may be less likely to be ascertained by clinicians in females compared to males.

Remote Assessments of Hand Function in Neurological Disorders: Systematic Review.

BACKGROUND: Loss of fine motor skills is observed in many neurological diseases, and remote monitoring assessments can aid in early diagnosis and intervention. Hand function can be regularly assessed to monitor loss of fine motor skills in people with central nervous system disorders; however, there are challenges to in-clinic assessments. Remotely assessing hand function could facilitate monitoring and supporting of early diagnosis and intervention when warranted. OBJECTIVE: Remote assessments can facilitate the tracking of limitations, aiding in early diagnosis and intervention. This study aims to systematically review existing evidence regarding the remote assessment of hand function in populations with chronic neurological dysfunction. METHODS: PubMed and MEDLINE, CINAHL, Web of Science, and Embase were searched for studies that reported remote assessment of hand function (ie, outside of traditional in-person clinical settings) in adults with chronic central nervous system disorders. We excluded studies that included participants with orthopedic upper limb dysfunction or used tools for intervention and treatment. We extracted data on the evaluated hand function domains, validity and reliability, feasibility, and stage of development. RESULTS: In total, 74 studies met the inclusion criteria for Parkinson disease (n=57, 77% studies), stroke (n=9, 12%), multiple sclerosis (n=6, 8%), spinal cord injury (n=1, 1%), and amyotrophic lateral sclerosis (n=1, 1%). Three assessment modalities were identified: external device (eg, wrist-worn accelerometer), smartphone or tablet, and telerehabilitation. The feasibility and overall participant acceptability were high. The most common hand function domains assessed included finger tapping speed (fine motor control and rigidity), hand tremor (pharmacological and rehabilitation efficacy), and finger dexterity (manipulation of small objects required for daily tasks) and handwriting (coordination). Although validity and reliability data were heterogeneous across studies, statistically significant correlations with traditional in-clinic metrics were most commonly reported for telerehabilitation and smartphone or tablet apps. The most readily implementable assessments were smartphone or tablet-based. CONCLUSIONS: The findings show that remote assessment of hand function is feasible in neurological disorders. Although varied, the assessments allow clinicians to objectively record performance in multiple hand function domains, improving the reliability of traditional in-clinic assessments. Remote assessments, particularly via telerehabilitation and smartphone- or tablet-based apps that align with in-clinic metrics, facilitate clinic to home transitions, have few barriers to implementation, and prompt remote identification and treatment of hand function impairments.

Identifying falls remotely in people with multiple sclerosis.

BACKGROUND: Falling is common in people with multiple sclerosis (MS) but tends to be under-ascertained and under-treated. OBJECTIVE: To evaluate fall risk in people with MS. METHODS: Ninety-four people with MS, able to walk > 2 min with or without an assistive device (Expanded Disability Status Scale (EDSS ≤ 6.5) were recruited. Clinic-based measures were recorded at baseline and 1 year. Patient-reported outcomes (PROs), including a fall survey and the MS Walking Scale (MSWS-12), were completed at baseline, 1.5, 3, 6, 9, and 12 months. Average daily step counts (STEPS) were recorded using a wrist-worn accelerometer. RESULTS: 50/94 participants (53.2%) reported falling at least once. Only 56% of participants who reported a fall on research questionnaires had medical-record documented falls. Fallers had greater disability [median EDSS 5.5 (IQR 4.0-6.0) versus 2.5 (IQR 1.5-4.0), p < 0.001], were more likely to have progressive MS (p = 0.003), and took fewer STEPS (mean difference - 1,979, p = 0.007) than Non-Fallers. Stepwise regression revealed MSWS-12 as a major predictor of future falls. CONCLUSIONS: Falling is common in people with MS, under-reported, and under-ascertained by neurologists in clinic. Multimodal fall screening in clinic and remotely may help improve patient care by identifying those at greatest risk, allowing for timely intervention and referral to specialized physical rehabilitation.

Effectiveness of Physical Therapy in Addressing Sexual Dysfunction in Individuals with Multiple Sclerosis: A Systematic Review and Meta-analysis.

BACKGROUND: Individuals with multiple sclerosis (MS) frequently report sexual dysfunction, a condition that may result in low sexual satisfaction and decreased quality of life. Although sexual dysfunction is usually treated pharmacologically, physical therapists, especially those trained in pelvic floor physical therapy (PT), are well-equipped to address a variety of impairments that contribute to poor sexual function. The current evidence for effectiveness of PT interventions in improving sexual dysfunction, sexual satisfaction, and the emotional well-being aspect of quality of life was analyzed. METHODS: The PubMed, CINAHL, and PEDro databases were searched through December 2019. Articles were included if participants had a clinical diagnosis of MS, reported sexual dysfunction or pain with intercourse, and had an intervention within the PT scope that addressed sexual dysfunction. Means and SDs were extracted from each study independently by two authors. Effect sizes (d) and 95% CIs were calculated within and across studies. RESULTS: Eight studies met the inclusion criteria. Combined effects were significant and large across six studies for sexual function (d = 0.82, 95% CI, 0.57-1.06), moderate across seven studies for sexual satisfaction (d = 0.65, 95% CI, 0.43-0.87), and moderately large across two studies for emotional well-being (d = 0.78, 95% CI, 0.17-1.40). Between-group differences reached significance for sexual satisfaction (d = 0.29, 95% CI, 0.03-0.55). CONCLUSIONS: Sexual function, sexual satisfaction, and emotional well-being can all be effectively addressed with various PT interventions. Highly effective interventions included pelvic floor muscle training and mindfulness. Future research should compare PT interventions with non-PT controls to determine best practice in this population.

CoachMS, an innovative closed-loop, interdisciplinary platform to monitor and proactively treat MS symptoms: A pilot study.

BACKGROUND: There are numerous challenges to treating co-occurring symptoms in multiple sclerosis (MS). OBJECTIVE: To pilot the feasibility of a novel symptom management platform, CoachMS, to monitor MS symptoms (bladder function, ambulation, and mood: BAM) and respond to changes in real-time. METHODS: In this 12-week randomized controlled pilot trial, participants' symptoms were monitored using weekly questionnaires and remote ambulatory monitoring (Fitbit Flex2®). Behavioral change principles used included shared goal setting at 2 weeks. Between weeks 2-12, the CoachMS group received targeted contact and interventions if symptoms worsened; the control group were treated through usual clinic practice. Our outcomes were feasibility (retention, adherence and acceptability; primary) and proportion of recommended treatments pursued (secondary); efficacy was explored. RESULTS: Of 21 participants enrolled, 13 (62%) completed the study; protocol adherence was excellent. CoachMS participants demonstrated greater follow-through with clinical recommendations than controls (OR 9.3, 95% CI (0.9, 97.6)). As a cohort, each BAM symptom tended to improve. Suicidality was detected in one control participant, resulting in urgent evaluation and hospitalization. CONCLUSIONS: The innovative CoachMS platform was feasible and acceptable in this cohort with baseline BAM symptoms. It could represent an accessible, cost-effective tool to monitor MS symptoms in real-time; a larger trial is planned.