Proactive changes in clinical practice as a result of the COVID‐19 pandemic: Survey on use of telepractice by Quebec speech‐language pathologists
Bibliographic record
Abstract
BACKGROUND: The coronavirus disease2019 (COVID-19) pandemic has led to important challenges in health and education service delivery. AIMS: The present study aimed to document: (i) changes in the use of telepractice by speech-language pathology (SLP) professionals in Quebec since the start of the COVID-19 outbreak; (ii) perceptions of the feasibility of telepractice by SLPs; (iii) barriers to the use of telepractice; and (iv) the perceptions of SLP professionals regarding the main issues of telepractice. METHODS & PROCEDURES: An online survey with closed and open, Likert scale and demographic questions was completed by 83 SLPs in Quebec in June and July 2020. OUTCOMES & RESULTS: The survey responses showed that within the cohort responding, telepractice use has increased significantly as a response to the COVID-19 pandemic. Most respondents planned to continue using telepractice after the pandemic ends. In addition, the respondents considered telepractice to be adequate for many clinical practices but less so for others (e.g., swallowing disorders, hearing impairment). Most of the reported barriers to the use of telepractice concerned technological problems and a lack of clinical materials for online use. Confidentiality and privacy issues were also raised. CONCLUSIONS & IMPLICATIONS: SLP professionals rapidly took advantage of existing technologies in their clinical settings to cope with the pandemic's effects on service delivery. The discrepancy between their perceptions and the evidence in the literature for some practices and populations strengthens the need for more information and education on telepractice. WHAT THIS PAPER ADDS: What is already known on the subject The proportion of speech-language pathologists (SLPs) in Canada who use telepractice for clinical activities is unknown. Knowing this information became crucial in the context of the coronavirus disease 2019 (COVID-19) pandemic because non-essential activities were interrupted to halt the spread of the disease. What this paper adds to existing knowledge The findings from this survey study confirmed that the use of telepractice in SLP in Quebec increased significantly during the COVID-19 pandemic. Moreover, the majority of the respondents began using telepractice because of the pandemic, and most planned to continue doing so after it ends. This demonstrates how SLP professionals rapidly took advantage of existing technologies in their clinical settings to cope with the pandemic's effects on service delivery. What are the potential or actual clinical implications of this work? Although the SLPs expressed an overall positive perception of telepractice, they also highlighted barriers to its optimal use. The findings of this study should help employers and regulatory bodies in Quebec to bring down those barriers and make telepractice in SLP a durable, effective and efficient service delivery model.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".