ClinicalTrials.gg
RecruitingNCT06820008TechnicALSUpdated Feb 11, 2025

Measurement and Impact of Physical Impairment in Amyotrophic Lateral Sclerosis: Use of Digital Technologies - a Precision ALS Project

An observational study in Amyotrophic Lateral Sclerosis and Motor Neurone Disease, sponsored by University of Dublin, Trinity College. Recruiting at 1 site in Ireland. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2025-02-11.

Sponsored by University of Dublin, Trinity College · Observational

From the registry’s dates

  • Started Nov 2024; still recruiting 1 year 11 months later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
60
Ages
18 Years and older
Sex
All
01

Where this study stands

Counted across the records on this site · 2026-11-12

Among 32 studies in Amyotrophic Lateral Sclerosis with a site in Ireland — 5 open to participants now, 11 under way, 4 of them phase 3. Amyotrophic Lateral Sclerosis · Ireland.

Started
2024
with 1 other
Observational
6 of 32
3 open now
Primary completion
2027-06
later than 8 of 10 live
Registered
29th of 32
by date
Lead sponsor
4 of 32
University of Dublin, Trinity College

Among the 32 studies in Amyotrophic Lateral Sclerosis with a site in Ireland, this one is one of 2 that started in 2024, is one of 6 observational ones, reaches primary completion later than 8 of the 10 other live ones, and was the 29th registered.

Amyotrophic Lateral Sclerosis

978 studies on the registry are indexed under Amyotrophic Lateral Sclerosis; 277 are open to participants now.

Browse Amyotrophic Lateral Sclerosis studies →

Open to participants now

5 of the 32 studies in Amyotrophic Lateral Sclerosis with a site in Ireland are open now. Recruiting first, the newest first:

All 5 open studies →

A study can be open while its sites in Ireland have not opened yet or have stopped. Only those recruiting at a site in Ireland →

Who these studies take

Of the 192 Amyotrophic Lateral Sclerosis studies recruiting now, 117 (61%) set no upper age limit and 23 (12%) stop at 75 or younger; 15 take children under 18; 55 take healthy volunteers.

This study: 18 Years and older · all sexes · no healthy volunteers.

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02

Study summary

Amyotrophic Lateral Sclerosis (ALS), the most common form of Motor Neuron Disease (MND), is a neurodegenerative disease. At present there are limited treatment options for this disease which progressively affects physical function, i.e., the ability to speak, breathe, walk, and perform activities of daily living. ALS is a rare disease, and can present differently amongst individuals, therefore global collaboration is vital to have enough participants in studies to evaluate the effects of new treatments more precisely.

There are now many novel technologies that measure physical function which could be used in research studies to allow people with ALS to participate, in-part from home, knowing that they have access to the best clinical trials but with minimal time and travel burden. Their accuracy and the ability/willingness of people with ALS to use them need to be evaluated before they are accepted.

One of the traditional measurements used in research is called the ALS Functional Rating Scale -revised (ALSFRS-r) but this measurement has been criticised for being unable to pick up small changes and, in the digital age, outdated. The primary aim of this study is to develop a digital toolkit for more accurate measurement of physical aspects of ALS. It will test new technologies that measure physical function (i.e., walking, speech, swallow, strength, respiration (breathing), dexterity) that can be used by people with ALS in their own home.

This study has two aims:

Firstly, to test a selection of new digital technologies (in the form of devices, online systems and applications used on smartphones/electronic tablets) that measure physical function (e.g., walking, speech, strength) and assess whether the technologies are easy to use and acceptable both to people with ALS/MND and healthcare professionals.

Secondly, to measure how good technologies are at picking up changes in physical function over time and how they compare to older measures that are usually employed by clinicians.

This study will recruit 60 people with the ALS form of MND who attend a MND clinic in Dublin, Ireland. The study will run from November 2024 to December 2027 approximately. During this period, each participant will be asked to take part for a duration of 12 months.

The study will compare measurements of physical function collected by a researcher in the traditional way, with new ways of measuring the same functions, using technologies that can be used at home by the person with ALS. The experience of people using the technologies at home will be evaluated with interviews and questionnaires.

Over the 12-month duration, participants will be assessed in person by members of the research team on 3 occasions. These assessments will be carried out in the clinic setting or can be completed at the participant's home instead if needed.

In between the in-person assessments, participants will also do assessments in their own home every week using technologies, either independently or with telephone or video support from a researcher. The technologies that the participant use at home will be matched to the ones that were assigned to them for the in-person assessment at the beginning. Participants will use only technologies that are suited to them. The researcher will talk to participants about which technologies are suitable for them and which they are comfortable to use.

Participants coded data collected using the new technologies will be analyzed using established methods and newer methods such as artificial intelligence (AI). AI refers to the ability of computers and digital devices to learn and simulate human intelligence. Machine learning, a field within AI, analyses large data sets to develop models that improve as more data is added. Analysis of participants coded data will be for research purposes only and will not be used for their medical care.

Ultimately this study will create new knowledge on the role of technology in physical measurement in MND and how it can be successfully used in future studies to help find effective treatments.

Read the detailed description

The primary aim of this study is to investigate the validity and usability of novel digital technologies in the measurement of physical impairments (speech, swallow, strength, dexterity, mobility, and respiration) in ALS and the adherence to their use over time. The technologies that will be used in the study are as follows:

  1. Speech Intelligibility Test (SIT) - software that measures speech intelligibility
  2. ModalityAi- an online system that collects and analyses speech samples
  3. Iowa Oral Performance Instrument (IOPI) - a device that measures tongue strength and endurance
  4. Grip dynamometer - a device that measures grip strength
  5. Index-eTap - a novel device and an app that measure dexterity
  6. GaitKeeper - an app that measures walking
  7. ActiGraph - a device that measures physical activity
  8. MIR Spirometer - a device and app that measure breathing
  9. Telehealth in Motor Neurone Disease (TiM) - an app that measures symptoms reported by the participant (patient reported outcome measures)

Usability will be measured by means of a questionnaire called the System Usability Scale (SUS) and a semi-structured interview with a researcher.

The objectives of the study are to:

  1. Quantify the adherence to, usability and validity of novel digital technologies in measurement of physical parameters in ALS.
  2. To compare the adherence to, usability and validity of actigraphy with devices worn on the wrist and hip concurrently for remote activity measurement.
  3. To compare the adherence to, usability and validity of remote spirometry conducted independently or with clinician support via video consultation.
  4. To examine the ability of Index-eTap to detect meaningful change over time in people with ALS/MND.
  5. To examine the impact of impairments in cognition and behaviour on the use of digital technologies.
  6. To examine the utility of audio-visual recordings for multimodal analysis of speaker samples using Modality software to analyse speech, cognitive-linguistic and facial muscle movement metrics.
  7. To investigate the validity of combining data from validated technologies to form a unified scale sensitive to changes in physical impairments in ALS.
  8. To develop optimal methods of summarising and visualising data relating to ALS physical impairments, for researchers working in the field of ALS

Participants will complete regular assessments of physical function remotely ('at-home') using novel digital technologies and will in parallel complete three researcher-led ('in-person') assessments of comparable constructs. The in-person assessments will take place either in the clinical research centre, Beaumont Hospital or during an outreach home visit by a member of the research team, based on participant preference. On recruitment to the study, baseline demographic and clinical information will be collected from the participant and their Beaumont Hospital medical record. Participants will be followed up for one year. Participants will be recruited over 18 months. The anticipated total study duration is approximately 3 years, including data analysis.

In-person assessments: The researcher will administer traditional assessments (as gold standard comparison for remote measurements) and will complete assessments using novel technologies where appropriate. In-person assessments will take place at baseline, 3 months and 12 months (or at withdrawal from the study).

This assessment battery will include:

  • Speech intelligibility/rate: assessed using Speech Intelligibility Test (SIT) software and Zoom H1 dictaphone (traditional assessment)
  • Tongue strength and endurance: assessed using Iowa Oral Performance Instrument (IOPI) Pro device (traditional assessment)
  • Hand grip strength: Analogue Jamar Hydraulic Handgrip Dynamometer (traditional assessment)
  • Finger dexterity: Index-eTap device (this is a prototype device which is currently only suitable for use with a researcher and will be completed in person)
  • Mobility: GaitKeeper (this is a research-use novel gait analysis system, which requires testing in ALS for both in-person and for remote use)
  • Slow Vital Capacity (SVC): assessed using Micro Medical or equivalent desktop Spirometer device (traditional assessment)
  • Sniff Nasal Inspiratory Pressure (SNIP): assessed using MicroRPM device (traditional assessment)
  • Peak Cough Flow (PCF): Analogue peak flow meter device and facemask (traditional assessment)

Additionally traditional validated questionnaires and rating scales will be completed:

  • Bulbar function: Centre for Neurological Studies Bulbar Function Scale (CNS-BFS)
  • Food texture description: Functional Oral Intake Scale (FOIS)
  • Upper limb function: Disability of Arm, Shoulder and Hand (DASH)
  • Overall function: ALS Functional Rating Scale - revised (ALSFRS-r)

Following the baseline assessments, participants will be provided with the technologies appropriate for their use at home and will be trained in their use. Thereafter, participants will complete 'at-home' assessments, using technologies either independently or with support via video or phone call following a defined schedule. Participants will be asked to use a minimum of 2 suitable technologies, which will be selected by the researchers based on their clinical presentation. Participants will be provided with the option to opt-out of using a technology that they feel it would be overly burdensome for them. Researchers will maintain regular contact with participants, via phone call or video call and will 'check-in' regularly regarding how they are managing with the at-home assessments.

These will include:

  • Multimodal assessment of speech and facial movement: using the Modality online system
  • Tongue strength: using Iowa Oral Performance Instrument (IOPI) Trainer device
  • Hand grip strength: Prototype strength ergometer device (5 participants will use this novel prototype device designed in Trinity College Dublin)
  • Mobility: using GaitKeeper app
  • Activity: using ActiGraph GT9X Link device to monitor activity
  • Slow Vital Capacity (SVC): using Medical International Research (MIR) Spirobank Smart spirometer device. This is used with an app and will be completed every second month via video call and every second month independently by the participant guided by the app.
  • Peak Cough Flow (PCF): using an analogue peak flow meter device (completed independently with score entered on TiM).
  • Telehealth in MND (TiM) on MyPathway: a remote monitoring system where patient-reported outcome measures are completed online. This is currently in clinical use in the Beaumont Hospital clinical service. It will collect usual questionnaires and study specific questionnaires
  • Communication Effectiveness Index - modified (CETI-m)
  • Eating Assessment Tool (EAT-10)
  • ALSFRS-r (self-reported)

Validity of the remote measures and the novel technologies will be assessed by comparing traditional assessment methods to novel methods. After using a technology at least twice, a subset of participants will be invited to complete the System Usability Scale (SUS) questionnaire and a semi-structured interview regarding their experience using the technology. Percentage adherence to the remote monitoring schedule will also be quantified. The study will operate in accordance with data protection legislation (GDPR), the declaration of Helsinki, and with Irish and EU legal and ethical requirement for cyber-protection of sensitive patient data. A data protection impact assessment (DPIA) has been completed and approved by the Beaumont Hospital and Trinity College Dublin ethics boards. Data sharing agreements are also in place for any of the relevant technologies included in the study.

This study is part of a larger research program entitled Precision ALS [www.precisionals.ie]. Precision ALS is a European project which aims to collect large amounts of data about people with MND all over Europe, to make research in ALS/MND more powerful.

03

Conditions studied

  • Amyotrophic Lateral Sclerosis
  • Motor Neurone Disease

Keywords

  • ALS
  • PrecisionALS
  • Digital technologies
  • speech
  • swallow
  • dexterity
  • mobility
  • respiration
  • remote measurement
  • MND
  • outcome measurement
04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Recruitment will primarily take place at the MND clinic in a hospital in Dublin, Ireland (Beaumont Hospital). The national support organisation, the Irish Motor Neurone Disease Association (IMNDA), will also share information about the study including contact details for the research team to their clients through their website and quarterly member's newsletter.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Diagnosis of ALS made by a Neurologist; possible, lab-supported probable, probable or definite as per the revised El Escorial Criteria.
  • Enrolled in the Precision ALS prospective study.
  • Ability to understand participation requirements and provide to undergo assessments and for data to be used.
  • Willingness to use a smartphone or tablet and to download and use study apps.
  • Age >18 years
  • Home access to a stable broadband internet connection and willingness to use this for data collection.

Exclusion criteria

Exclusion Criteria:

  • Diagnosis of a neurological disease other than ALS, active dementia or psychiatric illness that would limit ability to follow the assessment schedule of the study.
  • Other medical condition that would compromise the patient's safety or limit their participation in this study.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
60 participants (estimated)
Patient registry
No

Groups and cohorts

  • Patients diagnosed with the Amyotrophic Lateral Sclerosis (ALS) form of Motor Neurone Disease (MND).
06

What researchers measure

Primary outcomes

  1. Completion of 12-month follow up period

    An adherence percentage will be calculated based on the number of data captures completed by the participant divided by the total target number of data captures multiplied by 100/1.

    Time frame: 12 months per participant

  2. System Usability Scale

    A system usability scale (SUS) will be carried out on every technology to assess usability with a sample of 15 patients per technology (except the prototype hand grip ergometer which will have a sample of 5 patients). Responses will be collected once for each remote or prototype technology that the participant uses over the course of the study. The participant will have used the technology at least twice prior to collecting feedback and as such this affects the schedule for the SUS interviews. Technologies that are part of the in-person assessments (Index-eTap and Gaitkeeper) will have their SUS interviews scheduled in Month 3 (second in-person visit). All other technologies will have their SUS interviews carried out at least 2/3 uses via a video call and before 5 months. This is to reduce burden on participants.

    Time frame: Modality (Month 1), IOPI Trainer (Month 5), Prototype hand grip ergometer (after 2/3 uses), Index-eTap (Month 3), GaitKeeper (Month 3), ActiGraph (Month 3), MIR (Month 5), PCF (Month 3)

Secondary outcomes

  1. Participant withdrawal or death during the study.

    Date of withdrawal or death will be recorded. A percentage attrition rate will be calculated based on the number of participants who withdrew or died within the 12-month period divided by the total number of participants who completed baseline functional measures multiplied by 100/1

    Time frame: Less than 12 months depending on date of participant withdrawal or death.

  2. Semi-structured interview on usability

    Semi-structured interviews on usability will be carried out on every technology to assess usability with a sample of 15 patients per technology (except the prototype hand grip ergometer which will have a sample of 5 patients). Responses will be collected once for each remote or prototype technology that the participant uses over the course of the study. The participant will have used the technology at least twice prior to collecting feedback and as such this affects the schedule for the interviews. Technologies that are part of the in-person assessments (Index-eTap and Gaitkeeper) will have their interviews scheduled in Month 3 (second in-person visit). All other technologies will have their interviews carried out at least 2/3 uses via a video call and before 5 months. This is to reduce burden on participants.

    Time frame: Modality (Month 1), IOPI Trainer (Month 5), Prototype hand grip ergometer (after 2/3 uses), Index-eTap (Month 3), GaitKeeper (Month 3), ActiGraph (Month 3), MIR (Month 5), PCF (Month 3)

07

Study locations

1 of 1 sites recruiting
08

References and documents

Individual participant data

Plan to share: No — Data will only be analysed by researchers within the Precision ALS partnership within their host institutions in coordination with the local and overall PIs. Data analysis permissions are also governed by the inter-institutional agreement.

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Nov 2024 (actual). Primary completion is estimated for Jun 2027, 30 months after the start.

Of 127 non-industry observational studies under Amyotrophic Lateral Sclerosis, half reached primary completion within 67 months of starting (the median), counting those still running; a quarter within 30 and three quarters within 125. This study's planned 30 months is below that.

Counting every sponsor, half of 136 studies reached it within 64 months; a quarter within 29 and three quarters within 114.

How these figures are worked out, and which studies are left out of them.

Registered
Jan 15, 2025
First posted
Feb 11, 2025
StartActual
Nov 21, 2024
Primary completionEst.
Jun 1, 2027
CompletionEst.
Dec 1, 2027
Last update
Feb 11, 2025
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Feb 11, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06820008
Lead sponsor
University of Dublin, Trinity College
Collaborators
Beaumont Hospital
Responsible party
Dara Meldrum (Associate Professor, Academic Unit of Neurology, Trinity College Dublin, University of Dublin, Trinity College) — Principal investigator
First posted
Feb 11, 2025
Start date
Nov 21, 2024
Primary completion
Jun 1, 2027 (estimated)
Completion
Dec 1, 2027 (estimated)
Last update
Feb 11, 2025

Study contacts

Dara Meldrum, PhD
Contact
meldrumd@tcd.ie
+353 1 8964497
Prof. Orla Hardiman, MD
Contact
hardimao@tcd.ie
Dara Meldrum, PhD
principal investigator · University of Dublin, Trinity College

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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