Impact of the COVID-19 Pandemic on the Professional Identity of Massage Therapists: The Reporting of a Quantitative Strand of a Mixed-Methods Study
Bibliographic record
Abstract
Introduction: In late 2019, a pathogen outbreak occurred that rapidly spread, resulting in the coronavirus disease 2019 (COVID-19) global pandemic. Governments responded to the pandemic with a range of strategies, including forced quarantines and nationwide lockdowns. Research on professional identity during the pandemic has predominately focused on health care providers declared as “essential” rather than “nonessential.” In this study, the authors examine the impacts on the professional identity of massage therapists (MTs) who were predominately deemed as nonessential health care providers during the COVID-19 pandemic. Materials and methods: An online, questionnaire-based study sought to answer “In what ways has the professional identity of MTs in Canada and Australia been impacted by the COVID-19 global pandemic?” MTs in Canada and Australia were recruited using convenience sampling through e-mail and social media. A questionnaire was developed and pilot tested before implementation. Results: Six hundred and forty-nine MTs participated (329 from Canada and 316 from Australia). Known constructs of professional identity that were affected during the pandemic included not feeling respected as a health care practitioner, feeling less professional than other health care providers, and experiencing burnout. New constructs that may have developed out of the pandemic and the measures established to manage them included being classified as nonessential and feeling a sense of camaraderie and belonging. Conclusions: This study is the first of its kind to report the impact of the COVID-19 pandemic on the professional identity of MTs. The emerging constructs reported will be used to create interview questions for the subsequent qualitative strand of this explanatory mixed-methods study. In the qualitative study, respondents will be invited to share their experiences with their own voice to further the understanding of the impact of the COVID-19 pandemic on MTs' professional identity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".