Background: Aphasia following stroke is common and associated with poor outcomes, yet little is known about the quality of care received by this population. The MEASuRES minimum dataset was co-developed to address this gap through consistent, comprehensive measurement of aphasia services.
Aims: To pilot the implementation of the MEASuRES minimum dataset for aphasia in clinical settings to describe patient characteristics, adherence to quality indicators, and completion of outcome measures.
Methods: Multicentre, prospective, observational pilot study conducted in hospital settings within five metropolitan Australian health services. Eligible participants were patients with a new onset of aphasia post-stroke. The minimum dataset variables were collected by treating clinicians using a purpose-built REDCap database. Descriptive statistics were used to summarise participant characteristics, adherence to quality indicators, and completion of outcome measures.
Results: There were 69 participants (46% female; 96% English speaking; median age 70 years). On average, eligible participants received 8 out of 10 quality indicators. The quality indicators achieved most frequently were aphasia assessment (93%), therapy (99%) and provision of individualised recommendations to the treating team (97%). Communication partner training (78%), collaborative goal setting (55%) and person-centred care (30%) were achieved less frequently and identified as areas for improvement. Participants were more likely to have outcome measures completed at baseline than post-therapy, with higher rates of completion in the subacute setting at both timepoints across all domains (e.g., language: acute 55% baseline, 0% post-therapy; subacute: 77% baseline, 39% post-therapy).
Conclusion: These findings advance quality improvement and service monitoring for aphasia, supporting high-value care.