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Assessing NHS ImplemeNTation of an onlinE Resilience Training Acceptance and Commitment Therapy (ACT) Programme to Prevent Job Loss in Multiple Sclerosis (INTERACT-MS)

T

The Leeds Teaching Hospitals NHS Trust

Status

Enrolling

Conditions

Multiple Sclerosis

Treatments

Other: READY for MS UK digital programme

Study type

Interventional

Funder types

Other

Identifiers

NCT06728956
NE24/164889

Details and patient eligibility

About

People with MS (PwMS) are at increased risk of leaving work earlier than expected. Psychological factors that affect PwMS may make it more difficult to manage staying in work. These can include psychological flexibility and self efficacy. Psychological flexibility is the ability to effectively manage unwanted inner experiences (e.g., thoughts, memories, bodily sensations) in the present. Self-efficacy is the self-belief that an individual has in their ability to succeed.

Full description

Acceptance and Commitment Therapy (ACT) may help improve psychological flexibility and self-efficacy. Researchers and PwMS at Leeds have recently co-developed an online ACT-type programme called 'READY for MS'. This online programme may be helpful for PwMS who want to stay in work. READY for MS can be used on a computer or mobile device and does not need time off work traveling to see a psychologist. The aim is to understand the feasibility and effectiveness of training MS healthcare professionals to support delivery of the READY programme. Also to understand the long-term outcomes for both healthcare professionals and the PwMS they are supporting. What contexts contribute to effective delivery of the READY for MS programme will be explored. The aim is to test this READY for MS programme in various NHS settings to ensure that the programme is delivering the outcomes expected. This is a concept referred to as 'Intervention fidelity'. The key outcome that will be measured for PwMS is work instability (i.e. risk of job loss). Participants will be invited to complete online questionnaires. These will be completed at baseline, post-intervention and 6 month follow-up. The study team will invite a sub-set of participants to complete semi-structured interviews. The study team will use regular rapid qualitative analysis methods (lightning reports) to assess implementation.

Enrollment

300 estimated patients

Sex

All

Ages

18 to 66 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Participants capable of giving informed consent
  • Age 18 years or above
  • Currently in paid employment with an intention to remain in employment for at least 6 months
  • Phase 2: A registered healthcare professional or allied health professional who works in direct contact with patients diagnosed with Multiple Sclerosis OR
  • Phase 3: An individual with a clinical diagnosis of Multiple Sclerosis and reporting a WI score ≥11/22 (on MS-WIS)

Exclusion criteria

  • Individuals lacking capacity to give informed consent
  • Individuals intending to leave paid employment within the next 6 months
  • Individuals who will not have access to a device used to access the internet (e.g.

laptop or smartphone) for the duration of study participation

Trial design

Primary purpose

Supportive Care

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

300 participants in 1 patient group

main
Other group
Description:
Participant outcomes will be measured at multiple time points (baseline, week 8 and month 6). assess for any change to outcome variables over time using repeated measures ANOVA, this provides only an overview of interventional impact and assumes homogenous change within the study group. Latent Growth Curve Modelling (LGCM) can be useful to identify patterns within subgroups of a population to understand who benefits from an intervention and why. Latent Growth Curve Modelling (LGCM) will be used to determine trajectories over time. Changes from baseline to week 8 and baseline to month 6 will be assessed.
Treatment:
Other: READY for MS UK digital programme

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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