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Record W4415614948 · doi:10.3310/jhgd7339

Acceptance and Commitment Therapy for people living with motor neuron disease: the COMMEND feasibility study and randomised controlled trial

2025· article· en· W4415614948 on OpenAlexaboutno aff
Rebecca L. Gould, Benjamin J. Thompson, Charlotte Rawlinson, Matthew Bursnall, Mike Bradburn, Anju Keetharuth, Tracey Young, Vanessa Lawrence, David White, Robert Howard, Marc Serfaty, Lance M. McCracken, Christopher D. Graham, Ammar Al‐Chalabi, Laura H. Goldstein, Dynameni Androulaki-Koraki, Pavithra Kumar, Kirsty Weeks, Rebecca Gossage-Worrall, Emily Turton, Simon Waterhouse, Nicola Drewry, Cindy Cooper, Pamela J. Shaw, C. McDermott

Bibliographic record

VenueHealth Technology Assessment · 2025
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsnot available
FundersHealth Technology Assessment ProgrammeRoyal Free London NHS Foundation TrustUniversity of CambridgeMotor Neurone Disease AssociationCambridge University HospitalsNational Institute for Health and Care Research
KeywordsRandomized controlled trialAcceptance and commitment therapyHealth careQuality of life (healthcare)MEDLINEHealth benefitsClinical trial

Abstract

fetched live from OpenAlex

Background Motor neuron disease is a progressive, fatal neurodegenerative disease for which there is no cure. Formal psychological therapies are not routinely part of United Kingdom standard motor neuron disease care due to a lack of evidence-based guidance resulting from a paucity of clinical trials. We aimed to evaluate the clinical and cost-effectiveness of Acceptance and Commitment Therapy plus usual care compared to usual care alone for improving psychological health in people living with motor neuron disease. Methods We conducted qualitative interviews with 15 people living with motor neuron disease, 10 caregivers and 12 healthcare professionals. Findings were used to develop an Acceptance and Commitment Therapy intervention specifically for people living with motor neuron disease. Next, we examined its acceptability and feasibility in an uncontrolled feasibility study with 29 people living with motor neuron disease. Findings from qualitative interviews with 14 people living with motor neuron disease and 11 therapists were used to revise the intervention. Finally, we conducted a multicentre, parallel, two-arm randomised controlled trial in 16 United Kingdom motor neuron disease care centres/clinics. Eligible participants were aged ≥ 18 years with motor neuron disease. Participants were randomly assigned (1 : 1) to receive up to eight sessions of Acceptance and Commitment Therapy plus usual care or usual care alone and followed up at 6 and 9 months post randomisation by blinded outcome assessors. The primary outcome was total score on the McGill Quality of Life Questionnaire-Revised at 6 months. Secondary outcomes included health status using the EuroQol-5 Dimensions, five-level version. Primary analyses were by intention to treat. Results Acceptance and Commitment Therapy was acceptable to people living with motor neuron disease, and it was feasible to recruit participants, hence trial progression criteria were met. From September 2019 to August 2022, 191 participants were recruited: 97 were allocated to Acceptance and Commitment Therapy plus usual care and 94 to usual care alone. Mean age was 61.9 years (standard deviation 11.4), 58% were male and 95% were White/White British. Acceptance and Commitment Therapy plus usual care was superior to usual care alone on the McGill Quality of Life Questionnaire-Revised at 6 months [adjusted mean difference 0.66 (95% confidence interval 0.22 to 1.10); Cohen’s d = 0.46 (95% confidence interval 0.16 to 0.77); p = 0.003] and 9 months [adjusted mean difference 0.76 (95% confidence interval 0.30 to 1.22); Cohen’s d = 0.53 (95% confidence interval 0.21 to 0.85); p = 0.001]. Mean differences in total costs and quality-adjusted life-years at 9 months between Acceptance and Commitment Therapy plus usual care versus usual care alone were not statistically significant [costs: £1019 (95% confidence interval −£34 to £2074); quality-adjusted life-years: 0.019 (95% confidence interval −0.07 to 0.05)]. The incremental cost-effectiveness ratio was £88,507/quality-adjusted life-year: this decreased to £13,817/quality-adjusted life-year in those with medium disease-related deterioration in subgroup analyses. Conclusion Acceptance and Commitment Therapy plus usual care is clinically effective at maintaining or improving psychological health, as measured by the McGill Quality of Life Questionnaire-Revised, in people living with motor neuron disease compared to usual care alone. It was not cost-effective overall when calculated using a standard health status measure (EuroQol-5 Dimensions, five-level version). However, it was cost-effective in a subgroup of people experiencing a medium rate of disease-related deterioration. Limitations Participants from ethnic minorities were under-represented, despite recruiting from sites with diverse communities. Between-group differences in outcomes may have been partly attributable to expectancy or non-specific therapeutic effects due to the lack of an active control. Cost-effectiveness analyses may have been underpowered to detect significant between-group differences. Future work Studies should examine the effectiveness of Acceptance and Commitment Therapy in diverse populations, compared to an active control, using a more appropriate measure to assess cost-effectiveness, and in those with different rates of disease-related deterioration. Funding This synopsis presents independent research funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme as award number 16/81/01.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.012
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0090.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.411
Teacher spread0.370 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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