{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T21:24:35Z","timestamp":1789680275819,"version":"4.0.1"},"reference-count":50,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T00:00:00Z","timestamp":1616112000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Intl J Lang &amp; Comm Disor"],"published-print":{"date-parts":[[2021,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>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\u2019 selection and use of such resources are not well understood. In related fields, technology acceptance models have been employed to explain users\u2019 adoption of technology and to inform the advancement of empirically supported technological resources.<\/jats:p><\/jats:sec><jats:sec><jats:title>Aims<\/jats:title><jats:p>To determine the factors that influence SLTs\u2019 use of technology for clinical practice by testing a model of their technology acceptance and use.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods &amp; Procedures<\/jats:title><jats:p>We surveyed 209 practising SLTs in the United States representative of the speech and language membership of the American Speech\u2013Language\u2013Hearing Association (ASHA). Participants completed a 38\u2010item 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\u201019 pandemic.<\/jats:p><\/jats:sec><jats:sec><jats:title>Outcomes &amp; Results<\/jats:title><jats:p>The research model accounted for 66% of the variance in SLTs\u2019 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).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions &amp; Implications<\/jats:title><jats:p>These findings statistically explain the relationships between SLTs\u2019 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\u201019 pandemic on SLTs\u2019 technology attitudes.<\/jats:p><\/jats:sec><jats:sec><jats:label\/><jats:p><jats:boxed-text content-type=\"box\" position=\"anchor\"><jats:caption><jats:title>What this paper adds<\/jats:title><\/jats:caption><jats:sec><jats:title>What is already known on the subject<\/jats:title><jats:p><jats:list list-type=\"bullet\">\n<jats:list-item>\n<jats:p>Existing research about the adoption and use of technological resources by SLTs indicates that they select tools based on convenience, cost and recommendations by others.<\/jats:p>\n<\/jats:list-item>\n<\/jats:list><\/jats:p><\/jats:sec><jats:sec><jats:title>What this paper adds to existing knowledge<\/jats:title><jats:p><jats:list list-type=\"bullet\">\n<jats:list-item>\n<jats:p>This study is the first to develop and test a research model of SLTs\u2019 technology attitudes. The findings from model testing demonstrate the significant predictors of SLTs\u2019 behavioural intention to use technology for clinical purposes. Intent of use is related to how much SLTs use technology in the workplace.<\/jats:p>\n<\/jats:list-item>\n<\/jats:list><\/jats:p><\/jats:sec><jats:sec><jats:title>What are the potential or actual clinical implications of this work?<\/jats:title><jats:p><jats:list list-type=\"bullet\">\n<jats:list-item>\n<jats:p>The present findings can inform interventions targeting the design and adoption of electronic SLT resources that are empirically supported.<\/jats:p>\n<\/jats:list-item>\n<\/jats:list><\/jats:p><\/jats:sec><\/jats:boxed-text><\/jats:p><\/jats:sec>","DOI":"10.1111\/1460-6984.12614","type":"journal-article","created":{"date-parts":[[2021,3,20]],"date-time":"2021-03-20T06:50:24Z","timestamp":1616223024000},"page":"567-582","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Factors influencing US speech and language therapists\u2019 use of technology for clinical practice"],"prefix":"10.1111","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7224-4149","authenticated-orcid":false,"given":"Nahar","family":"Albudoor","sequence":"first","affiliation":[{"name":"Department of Speech, Language, and Hearing Sciences The University of Texas at Austin  Austin TX USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6119-7658","authenticated-orcid":false,"given":"Elizabeth D.","family":"Pe\u00f1a","sequence":"additional","affiliation":[{"name":"School of Education University of California  Irvine CA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,3,19]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhcs.2008.08.004"},{"key":"e_1_2_9_3_1","unstructured":"American Speech\u2013Language\u2013Hearing Association [ASHA] 2019 ASHA summary membership and affiliation counts year\u2010end 2018. 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