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DOI: 10.1191/0269215506cr903oa © 2006 SAGE Publications Assessing adherence to the evidence base in the management of poststroke dysphagiaDepartment of Nursing, University of Central Lancashire, Newcastle upon Tyne, UK
Speech and Language Sciences, University of Newcastle, Newcastle upon Tyne, UK
Human Communication and Deafness, University of Manchester, UK
Institute of Medical and Social Care Research, University of Wales Bangor, UK
Speech and Language Therapy Department, Merchiston Hospital, Greater Renfrewshire and Inverclyde Division, NHS Argyll and Clyde, Manchester, UK
Speech and Language Therapy Department, Manchester Royal Infirmary, Manchester, UK Objective: To evaluate the reliability and responsiveness to change of an audit tool to assess adherence to evidence of effectiveness in the speech and language therapy (SLT) management of poststroke dysphagia. Design: The tool was used to review SLT practice as part of a randomized study of different education strategies. Medical records were audited before and after delivery of the trial intervention. Setting: Seventeen SLT departments in the north-west of England participated in the study. Subjects: The assessment tool was used to assess the medical records of 753 patients before and 717 patients after delivery of the trial intervention across the 17 departments. A target of 10 records per department per month was sought, using systematic sampling with a random start. Analysis: Inter- and intra-rater reliability were explored, together with the tool's internal consistency and responsiveness to change. Results: The assessment tool had high face validity, although internal consistency was low (ra=0.37). Composite scores on the tool were however responsive to differences between SLT departments. Both inter- and intra-rater reliability ranged from substantial to near perfect across all items. Conclusions: The audit tool has high face validity and measurement reliability. The use of a composite adherence score should, however, proceed with caution as internal consistency is low.
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