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Self-managed, computerised word finding therapy as an add-on to usual care for chronic aphasia post-stroke: An economic evaluation.


ABSTRACT:

Objective

To examine the cost-effectiveness of self-managed computerised word finding therapy as an add-on to usual care for people with aphasia post-stroke.

Design

Cost-effectiveness modelling over a life-time period, taking a UK National Health Service (NHS) and personal social service perspective.

Setting

Based on the Big CACTUS randomised controlled trial, conducted in 21 UK NHS speech and language therapy departments.

Participants

Big CACTUS included 278 people with long-standing aphasia post-stroke.

Interventions

Computerised word finding therapy plus usual care; usual care alone; usual care plus attention control.

Main measures

Incremental cost-effectiveness ratios (ICER) were calculated, comparing the cost per quality adjusted life year (QALY) gained for each intervention. Credible intervals (CrI) for costs and QALYs, and probabilities of cost-effectiveness, were obtained using probabilistic sensitivity analysis. Subgroup and scenario analyses investigated cost-effectiveness in different subsets of the population, and the sensitivity of results to key model inputs.

Results

Adding computerised word finding therapy to usual care had an ICER of £42,686 per QALY gained compared with usual care alone (incremental QALY gain: 0.02 per patient (95% CrI: -0.05 to 0.10); incremental costs: £732.73 per patient (95% CrI: £674.23 to £798.05)). ICERs for subgroups with mild or moderate word finding difficulties were £22,371 and £21,262 per QALY gained respectively.

Conclusion

Computerised word finding therapy represents a low cost add-on to usual care, but QALY gains and estimates of cost-effectiveness are uncertain. Computerised therapy is more likely to be cost-effective for people with mild or moderate, as opposed to severe, word finding difficulties.

SUBMITTER: Latimer NR 

PROVIDER: S-EPMC8073872 | biostudies-literature |

REPOSITORIES: biostudies-literature

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