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Background: There is an increasing number of technological resources available to speech and language therapists (SLTs) for use in clinical practice, but the factors that influence SLTs' selection and use of such resources are not well understood. In related fields, technology acceptance models have been employed to explain users' adoption of technology and to inform the advancement of empirically supported technological resources. Aims: To determine the factors that influence SLTs' use of technology for clinical practice by testing a model of their technology acceptance and use. Methods & Procedures: We surveyed 209 practising SLTs in the United States representative of the speech and language membership of the American Speech–Language–Hearing Association (ASHA). Participants completed a 38‐item electronic survey representing four categories: (1) technology use, (2) technology attitudes and factors influencing technology use, (3) employment information and (4) demographics. Items measuring technology attitudes served as indicators of the research model, which mapped the primary relationships of a technology acceptance model. Survey data were collected before the Covid‐19 pandemic. Outcomes & Results: The research model accounted for 66% of the variance in SLTs' behavioural intention to use technology, which significantly and positively predicted the amount of time they reportedly spent using technology in the workplace. Subjective norms and attitudes towards technology use directly predicted the intention to use technology. Perceived usefulness and ease of use indirectly predicted intention to use technology. Survey respondents reported using technology during 48% (SD = 24%) of their overall weekly work hours on average, with a large majority reporting using technology at least once per week for planning (89% of respondents), assessment (66% of respondents) or intervention (90% of respondents). Conclusions & Implications: These findings statistically explain the relationships between SLTs' attitudes and their intention to use technology for clinical practice, contributing to our understanding of why SLTs adopt certain technologies. We also detail the nature and frequency of technology use in the clinical practice of SLTs. Future directions for this work include further exploring use categories, employing direct measurements of technology use and exploring the impact of recent changes in SLT service delivery due to the Covid‐19 pandemic on SLTs' technology attitudes. What this paper addsWhat is already known on the subjectExisting research about the adoption and use of technological resources by SLTs indicates that they select tools based on convenience, cost and recommendations by others.What this paper adds to existing knowledgeThis study is the first to develop and test a research model of SLTs' technology attitudes. The findings from model testing demonstrate the significant predictors of SLTs' behavioural intention to use technology for clinical purposes. Intent of use is related to how much SLTs use technology in the workplace.What are the potential or actual clinical implications of this work?The present findings can inform interventions targeting the design and adoption of electronic SLT resources that are empirically supported. [ABSTRACT FROM AUTHOR]

Background: Stroke is one of the leading causes of death in the United States. Aphasia is a language impairment which results as a consequence of stroke. Gender differences are reported in underlying mechanisms of stroke, however, gender differences in aphasia type and severity remain unclear. Aims: To examine gender differences in aphasia impairment based on data from AphasiaBank, a research repository of data obtained from studies of aphasia. Methods & Procedures: The data were collected from AphasiaBank for 294 persons with aphasia (PWA) (172 men, 122 women). Baseline comparisons by gender groups were completed using independent samples t‐tests and Pearson Chi square statistics. Univariate comparisons of the total Western Aphasia Battery—Revised (WAB‐R) ‐AQ and ‐R subtests' scores were compared between the two groups using independent samples t‐tests. Multivariate comparisons were completed by using multivariate analysis of variance (MANOVA). Outcomes & Results: Gender differences were observed in the severity of aphasia with men exhibiting more severe aphasia than women. Analyses of WAB‐R indicated greater impairment among men based on AQ and greater impairment was observed in individual subtest performance. Men exhibited statistically significantly lower WAB‐R AQs than women (67.4 versus 75.6). Lower WAB‐R AQs were derived from lower scores among men on individual subtests; information content, fluency, repetition, sentence completion, responsive speech and tests of comprehension (yes/no, auditory word recognition and sequential commands). Conclusions & Implications: This study offers evidence of gender differences in aphasia severity, global communication impairment and lower scores on individual subtests used to derive the WAB‐R AQ. The limitations of the study with suggestions for future directions are presented. [ABSTRACT FROM AUTHOR]