Clinical Investigation of NMS Assist

Sponsor
University of Plymouth (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05414071
Collaborator
(none)
60
1
15

Study Details

Study Description

Brief Summary

Parkinson's can cause a wide range of non-motor symptoms (NMS), including pain and problems with mental health, memory and sleep. These affect the quality of life of people with Parkinson's (PwP) and their care partners (CP). If these issues are not recognised and managed quickly, they can result in escalating problems. Many PwP are unsure of the extent and variety of the NMS and how simple adjustments at home could improve them. We have developed a digital system, NMS Assist, to help PwP monitor their non-motor symptoms and develop skills to self-manage them.

Such a tool needs to be simple to use, safe and effective. We will ask 60 PwP, CP and members of their Parkinson's healthcare team to use NMS Assist for 12 months, and we will monitor how they use the tool. PwP and CPs will be asked if they feel more knowledgeable and confident to manage their own symptoms whilst being better able to discuss a problem with their healthcare professional.

A smaller group of the participants will discuss their experiences in more detail to help pinpoint aspects that work well and those needing adjustment and development. Members of the healthcare team will be asked to assess any improvement in communication with PwP and CPs.

It is thought that the use of this system will result in improved quality of life and increased knowledge and confidence for managing symptoms while safely reducing the time spent by health care professionals on manageable non-motor symptoms.

Condition or Disease Intervention/Treatment Phase
  • Device: NMS Assist
N/A

Study Design

Study Type:
Interventional
Anticipated Enrollment :
60 participants
Allocation:
N/A
Intervention Model:
Single Group Assignment
Masking:
None (Open Label)
Primary Purpose:
Supportive Care
Official Title:
The Impact of a Digital Artificial Intelligence System on the Monitoring and Self-management of Non-motor Symptoms in People With Parkinson's
Anticipated Study Start Date :
Dec 1, 2022
Anticipated Primary Completion Date :
Mar 1, 2024
Anticipated Study Completion Date :
Mar 1, 2024

Arms and Interventions

Arm Intervention/Treatment
Experimental: NMS Assist

NMS Assist provides a system of linking PwP, CPs, and healthcare providers (HCPs) to monitor and empower self-management of non-motor symptoms through the use of a mobile app and web portal.

Device: NMS Assist
The system enables people with Parkinson's and their care partners to complete questionnaires about symptoms and burden and share that information with their care team. They can also access self-help resources and materials about managing non-motor symptoms. Healthcare providers have a dashboard that flags any worsening symptoms or discrepancies between PwP and CP reports, enabling their to prioritise care and quickly see the status of their patients. The system also enables PwP or CPs to request healthcare contact.

Outcome Measures

Primary Outcome Measures

  1. Patient (and care partner) activation [Assessed monthly for 12 months]

    Patient Activation Measure (and caregiver version) will be used to evaluate their confidence, knowledge, and skills at non-motor symptom self-management

Secondary Outcome Measures

  1. Presence of non-motor symptoms [Measured at patients' discretion throughout intervention (12 months)]

    Measured using the Non-Motor Symptoms Questionnaire (NMSQ), patients tick 'yes' or 'no' for each symptom listed

  2. Frequency and severity of non-motor symptoms [Measured at baseline, 6, and 12 months]

    Measured using the Movement Disorder Society Non-Motor Symptoms Scale (MDS-NMS), where higher scores indicate greater frequency and/or severity

  3. Short-form self-assessment of functioning and well-being related to Parkinson's disease [Measured at patients' discretion throughout intervention (12 months)]

    Measured using the short-form Parkinson's Disease Questionnaire (PDQ-8), patients indicate the frequency with which they experience certain issues

  4. Long-form self-assessment of functioning and well-being related to Parkinson's disease [Measured at baseline, 6, and 12 months]

    Measured using the long-form Parkinson's Disease Questionnaire PDQ-39, patients indicate the frequency with which they experience certain issues

  5. Carer well-being and quality of life [Measured at care partners' discretion throughout intervention (12 months)]

    Measured using the Parkinson Disease Questionnaire for care partners; care partners indicate the frequency with which they experience certain issues

  6. Health status [Measured at baseline, 6, and 12 months]

    Measured using the EQ-5D-5L; higher scores on the EQ-5D-5L descriptive system indicate worse health problems in the specific dimension whereas a high score in the EQ VAS indicates better health on the day of the questionnaire

  7. Mental well-being [Measured at baseline, 6, and 12 months]

    Measured using the Warwick-Edinburgh Mental Wellbeing Scale (WEMWBS); Scores range from 14 to 70 (on the 14 item version) and higher scores indicate greater positive mental wellbeing

  8. Adverse events [Throughout 12 months]

    Adverse Event Reporting

  9. Clinical safety [Throughout 12 months]

    Record of any events missed

  10. Healthcare contacts [Throughout 12 months]

    Number of PwP-initiated contacts with healthcare team (through the 'request healthcare contact' feature) and the number of HCP-initiated contacts (due to system flagging PwP based on PwP and CP-reported outcomes), recorded by the system

  11. Technical and implementation issues [Throughout 12 months]

    Technical issues identified from the system use data and by participants and process measures relating to service delivery

  12. Quantitative usability [6 and 12 months]

    System Usability Scale, out of 100 with higher scores indicating better usability

  13. Acceptability [3, 6, and 12 months]

    Acceptability and usability feedback from semi-structured interviews

  14. System use and compliance [Throughout 12 months]

    Data collected via the system about users engagement with the system (e.g. number of times accessed, length of time accessed, features used)

  15. Engagement [3, 6, and 12 months]

    Qualitative feedback from participants

  16. Costs [Throughout 12 months]

    Cost analysis will be used to examine the factors impacting costs for implementing the system

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • Willing and able to provide informed consent and comply with intervention requirements

  • 18 years or older

  • Be fluent in English

  • Not resident in a care or nursing home

  • Ambulant

  • Have compatible smartphone/data access

  • Normally under the care of the Parkinson's service in the participating organisation

  • Participant's HCP in the participating organisation consented to participate in the study

Exclusion Criteria:
  • Secondary cause of parkinsonism

  • Significant cognitive impairment or a diagnosis of Parkinson's disease dementia

  • Living in residential care facilities

  • Previous involvement in development or testing of the NMS Assist system

  • Significant comorbidity, which in the opinion of the chief investigator would preclude safe participation in the study or protocol compliance (e.g. life expectancy <6 months)

  • In a dependent/unequal relationship with anyone involved in the research or care teams

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

  • University of Plymouth

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Edward Meinert, PhD, Associate Professor of eHealth, University of Plymouth
ClinicalTrials.gov Identifier:
NCT05414071
Other Study ID Numbers:
  • AM1000398
First Posted:
Jun 10, 2022
Last Update Posted:
Jun 10, 2022
Last Verified:
Jun 1, 2022
Individual Participant Data (IPD) Sharing Statement:
Undecided
Plan to Share IPD:
Undecided
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Edward Meinert, PhD, Associate Professor of eHealth, University of Plymouth
Additional relevant MeSH terms:

Study Results

No Results Posted as of Jun 10, 2022