Identifying the Active Ingredients of a Computerized Speech and Language Therapy Intervention for Poststroke Aphasia: Multiple Methods Investigation Alongside a Randomized Controlled Trial.

The study used secondary data from a trial, so it shows association rather than causation. Several process measures were unvalidated or used proxies, such as using a documented rationale on a form as a measure of actual tailoring quality. The multivariate model only explained 21.6% of the variance in word-finding improvement, meaning other factors not measured here likely played a significant role. Response rates for some patient-reported measures (like motivation and ease of use) were low, limiting confidence in those specific findings. The qualitative sample was small (7 experts) and selected via nominated expert sampling, which may have missed saturation or other perspectives.

Two of the seven qualitative participants were designers of the StepByStep software and declared a potential bias due to their financial stake in it.

Do not assume that simply increasing total hours of computer practice will improve word finding. The analysis showed that the specific type of practice (functional sentences) and the quality of the therapist's tailoring rationale were the significant factors, while total practice time was not independently predictive in the final model.