Remote digital assessment of amyotrophic lateral sclerosis functional rating scale – a multicenter observational study

Abstract Objective Remote self-assessment of the revised amyotrophic lateral sclerosis functional rating scale (ALSFRS-R) using digital data capture was investigated for its feasibility as an add-on to ALSFRS-R assessments during multidisciplinary clinic visits. Methods From August 2017 to December 2021, at 12 ALS centers in Germany, an observational study on remote assessment of the ALSFRS-R was performed. In addition to the assessment of ALSFRS-R during clinic visits, patients were offered a digital self-assessment of the ALSFRS-R – either on a computer or on a mobile application (“ALS-App”). Results An estimated multicenter cohort of 4,670 ALS patients received care at participating ALS centers. Of these patients, 971 remotely submitted the ALSFRS-R, representing 21% of the multicenter cohort. Of those who opted for remote assessment, 53.7% (n = 521) completed a minimum of 4 ALSFRS-R per year with a mean number of 10.9 assessments per year. Different assessment frequencies were found for patients using a computer (7.9 per year, n = 857) and mobile app (14.6 per year, n = 234). Patients doing remote assessments were more likely to be male and less functionally impaired but many patients with severe disability managed to complete it themselves or with a caregiver (35% of remote ALSFRS-R cohort in King’s Stage 4). Conclusions In a dedicated ALS center setting remote digital self-assessment of ALSFRS-R can provide substantial data which is complementary and potentially an alternative to clinic assessments and could be used for research purposes and person-level patient management. Addressing barriers relating to patient uptake and adherence are key to its success.

[1]  Timothy A. Miller,et al.  Using Smartphones to Reduce Research Burden in a Neurodegenerative Population and Assessing Participant Adherence: A Randomized Clinical Trial and Two Observational Studies , 2021, JMIR mHealth and uHealth.

[2]  S. Paganoni,et al.  Patient reported outcomes in ALS: characteristics of the self-entry ALS Functional Rating Scale-revised and the Activities-specific Balance Confidence Scale , 2021, Amyotrophic lateral sclerosis & frontotemporal degeneration.

[3]  Kit C B Roes,et al.  A Road Map for Remote Digital Health Technology for Motor Neuron Disease. , 2021, Journal of medical Internet research.

[4]  R. V. van Eijk Frequent self‐assessments in ALS Clinical Trials: worthwhile or an unnecessary burden for patients? , 2020, Annals of Clinical and Translational Neurology.

[5]  Visar Berisha,et al.  Improved ALS clinical trials through frequent at‐home self‐assessment: a proof of concept study , 2020, Annals of clinical and translational neurology.

[6]  S. Petri,et al.  Symptomatic pharmacotherapy in ALS: data analysis from a platform-based medication management programme , 2020, Journal of Neurology, Neurosurgery, and Psychiatry.

[7]  S. Spittel,et al.  Robotics in ALS – Acceptance of Enhanced Robotic Assistance Systems in People with ALS-Associated Motor Impairment: An Observational Online Study (Preprint) , 2020, JMIR Rehabilitation and Assistive Technologies.

[8]  Esther T Kruitwagen,et al.  The current use of telehealth in ALS care and the barriers to and facilitators of implementation: a systematic review , 2019, Amyotrophic lateral sclerosis & frontotemporal degeneration.

[9]  S. Mawson,et al.  Process evaluation and exploration of telehealth in motor neuron disease in a UK specialist centre , 2019, BMJ Open.

[10]  S. Mawson,et al.  Using telehealth in motor neuron disease to increase access to specialist multidisciplinary care: a UK-based pilot and feasibility study , 2019, BMJ Open.

[11]  L. H. van den Berg,et al.  Development and assessment of the inter-rater and intra-rater reproducibility of a self-administration version of the ALSFRS-R , 2019, Journal of Neurology, Neurosurgery, and Psychiatry.

[12]  S. Spittel,et al.  Real world experience of patients with amyotrophic lateral sclerosis (ALS) in the treatment of spasticity using tetrahydrocannabinol:cannabidiol (THC:CBD) , 2019, BMC Neurology.

[13]  James D. Berry,et al.  Design and results of a smartphone‐based digital phenotyping study to quantify ALS progression , 2019, Annals of clinical and translational neurology.

[14]  A. Al-Chalabi,et al.  Exploring the Feasibility of Using Biotelemetry to Monitor Patients with Amyotrophic Lateral Sclerosis During Clinical Trials (Preprint) , 2019 .

[15]  Visar Berisha,et al.  ALS longitudinal studies with frequent data collection at home: study design and baseline data , 2018, Amyotrophic lateral sclerosis & frontotemporal degeneration.

[16]  Karel G M Moons,et al.  Prognosis for patients with amyotrophic lateral sclerosis: development and validation of a personalised prediction model , 2018, The Lancet Neurology.

[17]  S. Mawson,et al.  The TiM system: developing a novel telehealth service to improve access to specialist care in motor neurone disease using user-centered design , 2018, Amyotrophic lateral sclerosis & frontotemporal degeneration.

[18]  S. Petri,et al.  Provision of assistive technology devices among people with ALS in Germany: a platform-case management approach , 2018, Amyotrophic lateral sclerosis & frontotemporal degeneration.

[19]  C. Mcdermott,et al.  Decision-making and referral processes for patients with motor neurone disease: a qualitative study of GP experiences and evaluation of a new decision-support tool , 2017, BMC Health Services Research.

[20]  A. Al-Chalabi,et al.  Estimating clinical stage of amyotrophic lateral sclerosis from the ALS Functional Rating Scale , 2014, Amyotrophic lateral sclerosis & frontotemporal degeneration.

[21]  H. Heinze,et al.  Validation of the German version of the extended ALS functional rating scale as a patient-reported outcome measure , 2013, Journal of Neurology.

[22]  P. Wicks,et al.  Online assessment of ALS functional rating scale compares well to in-clinic evaluation: A prospective trial , 2012, Amyotrophic lateral sclerosis : official publication of the World Federation of Neurology Research Group on Motor Neuron Diseases.

[23]  S. Pocock,et al.  [Strengthening the reporting of observational studies in epidemiology (STROBE): explanation and elaboration]. , 2009, Gaceta sanitaria.

[24]  A. Voustianiouk,et al.  ALSFRS and appel ALS scores: Discordance with disease progression , 2008, Muscle & nerve.

[25]  S. Pocock,et al.  Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies , 2007, BMJ : British Medical Journal.

[26]  John L.P. Thompson,et al.  Excellent inter‐rater, intra‐rater, and telephone‐administered reliability of the ALSFRS‐R in a multicenter clinical trial , 2007, Amyotrophic lateral sclerosis : official publication of the World Federation of Neurology Research Group on Motor Neuron Diseases.

[27]  V. La Bella,et al.  Telephone follow‐up for patients with amyotrophic lateral sclerosis , 2007, European journal of neurology.

[28]  H. Mitsumoto,et al.  Development and evaluation of a self-administered version of the ALSFRS-R , 2006, Neurology.

[29]  R. Kryscio,et al.  Rating the severity of ALS by caregivers over the telephone using the ALSFRS‐R , 2005, Amyotrophic lateral sclerosis and other motor neuron disorders : official publication of the World Federation of Neurology, Research Group on Motor Neuron Diseases.

[30]  M. Bromberg,et al.  Inter-evaluator reliability of the ALS Functional Rating Scale , 2004, Amyotrophic lateral sclerosis and other motor neuron disorders : official publication of the World Federation of Neurology, Research Group on Motor Neuron Diseases.

[31]  M. Swash,et al.  El Escorial revisited: Revised criteria for the diagnosis of amyotrophic lateral sclerosis , 2000, Amyotrophic lateral sclerosis and other motor neuron disorders : official publication of the World Federation of Neurology, Research Group on Motor Neuron Diseases.

[32]  J. Cedarbaum,et al.  The ALSFRS-R: a revised ALS functional rating scale that incorporates assessments of respiratory function , 1999, Journal of the Neurological Sciences.

[33]  J. Cedarbaum,et al.  Performance of the Amyotrophic Lateral Sclerosis Functional Rating Scale (ALSFRS) in multicenter clinical trials , 1997, Journal of the Neurological Sciences.

[34]  Michelle Marie Tipton-Burton Amyotrophic Lateral Sclerosis Functional Rating Scale , 2017 .