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The (Cost)Effectiveness of a Social Robot for Persons with Problems in Daily Structure and Planning in Disability Care

A

Academy Het Dorp

Status

Enrolling

Conditions

Brain Injury, Chronic
Autism Spectrum Disorder
Down Syndrome
Intellectual Disability, Mild to Moderate

Treatments

Device: Robot Tessa

Study type

Interventional

Funder types

Other

Identifiers

NCT06592404
10310012210009 (Other Grant/Funding Number)
AHD23.019

Details and patient eligibility

About

The goal of this multiple baseline single case study is to study the (cost)effectiveness of a social robot in reducing professional caregiver support and promoting independence for individuals in long-term disability care experiencing problems with daily structure and planning. The main research questions it aims to answer are:

  • What is the effect of the social robot on the frequency of moments professional caregivers support individuals experiencing problems with daily structure and planning with the execution of daily activities, compared to care as usual, after 6 weeks?
  • Does the effect of the social robot persist in the long term (after 6 months)?
  • What is the cost-effectiveness of the social robot?

Participants will:

  • Use a social robot in their daily living environment
  • Answer survey questions about their quality of life and wellbeing during the study period
  • Share their experiences in interviews

Their profesional caregivers will:

  • Register the frequency and duration of support they provide to the participant daily for 13 weeks and a 2-week follow-up
  • Give weekly updates and score participants' goal attainment while using the social robot
  • Fill in questionnaires on participants' productivity and health care consumption during the study period
  • Share their experiences in interviews

Full description

Many individuals receiving long-term disability care experience problems in daily structure and planning. This includes people with autism spectrum disorder, mild to moderate intellectual disability, acquired brain injury and/or Down syndrome.

A large number of these individuals need assistance in carrying out daily activities due to these difficulties in planning and organisation. these difficulties include for example being on time for appointments, getting up and going to bed on time, self-care (forgetting to eat or take medication), performing household tasks, and remembering information. Both professional caregivers and clients invest a significant amount of effort, time, and enery into structuring and creating an overview in daily planning.

The use of a social robot that can be programmed to assist with reminders and guidance offers opportunities for both clients and professional caregivers:

  • The use of the social robot is expected to lead to more independence and improved well-being for the participant.
  • Because the social robot potentially shortens or takes over support moments, professional caregivers might, for example, be deployed more efficiently.
  • Positive effects may also be observed in the relationship between professional caregiver and client: when the client functions more independently and their well-being improves, professional caregivers expectedly experience more job satisfaction, which is important for the quality of care and retention of care staff.

The purpose of this study is to research the effectiveness of a social robot in long-term disability care. The study follows participants and their professional caregivers in their daily care setting, first without the social robot (care as usual), then while using the social robot. This study contributes to knowledge about the effective deployment of technology in long-term disability care.

Enrollment

30 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Age: ≥18 years
  • Living in an inpatient long-term disability care facility
  • Participant 1) has difficulty with planning and structuring and/or remembering tasks, appointments, and activities, and/or 2) needs outside activation to execute tasks, appointments, and activities
  • Able to understand verbal instructions and willing to follow these
  • Cognitive capacity to, together with their professional caregiver, set goals to work on with the social robot
  • Motivated to work with the social robot on 3-5 goals, for which the participant receives daily or weekly guidance in their home
  • Professional caregivers are motivated to participate in the study

Exclusion criteria

  • Prone to express tension in physical aggression
  • Highly sensitive to auditory stimuli

Trial design

Primary purpose

Supportive Care

Allocation

Randomized

Interventional model

Single Group Assignment

Masking

None (Open label)

30 participants in 4 patient groups

Cluster 1
Experimental group
Description:
As explained earlier on, all clusters receive the person-oriented intervention, which involves deploying the social robot on personal goals related to selected activities. In this study, randomization determines the duration of study periods. For cluster 1, periods are planned as follows: * Control: 2 weeks (week 1-2) * Intervention: 6 weeks (week 3-8) * Effect measurement: 5 weeks (week 9-13) * Follow-up: 2 weeks (week 34-35)
Treatment:
Device: Robot Tessa
Cluster 2
Experimental group
Description:
For cluster 2, periods are planned as follows: * Control: 3 weeks (week 1-3) * Intervention: 6 weeks (week 4-9) * Effect measurement: 4 weeks (week 10-13) * Follow-up: 2 weeks (week 35-36)
Treatment:
Device: Robot Tessa
Cluster 3
Experimental group
Description:
For cluster 3, periods are planned as follows: * Control: 4 weeks (week 1-4) * Intervention: 6 weeks (week 5-10) * Effect measurement: 3 weeks (week 11-13) * Follow-up: 2 weeks (week 36-37)
Treatment:
Device: Robot Tessa
Cluster 4
Experimental group
Description:
For cluster 4, periods are planned as follows: * Control: 5 weeks (week 1-5) * Intervention: 6 weeks (week 6-11) * Effect measurement: 2 weeks (week 12-13) * Follow-up: 2 weeks (week 37-38)
Treatment:
Device: Robot Tessa

Trial contacts and locations

3

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Central trial contact

Kirstin N Dam, van, MSc.; Marieke FM Gielissen, Dr.

Data sourced from clinicaltrials.gov

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