From Crisis to Opportunity: A Qualitative Study on Rehabilitation Therapists' Experiences and Post-Pandemic Perspectives.
Marianne SaragosaFarwa GorayaFrances SerranoBehdin NowrouziSara J T GuilcherYasmin Abdul AzizBasem GoharPublished in: Healthcare (Basel, Switzerland) (2024)
Rehabilitation therapists (RTs) have developed substantial mental health problems since the pandemic. Our study aimed to understand the experience of COVID-19 on occupational therapists and physiotherapists practicing in Canada, how the pandemic may have affected care delivery, and to identify new learnings articulated by RTs. A qualitative descriptive study design guided data collection through one-on-one interviews, dyadic interviews, and focus groups. We recruited active RTs across Canada, advertising on professional practice networks and social media platforms and using snowball sampling. Forty-nine RTs representing seven Canadian provinces participated. The four overarching themes developed using thematic analysis were (1) navigating uncertainty along with ever-changing practices, policies, and attitudes, (2) morphing roles within a constrained system, (3) witnessing patients suffering and experiencing moral distress, and (4) recognizing the personal toll of the pandemic on self and others, as well as lessons learned. Our study demonstrated that many RTs suffered moral distress, poor mental health, and some from challenging financial situations, especially those in the private sector. They also expressed a resilient attitude in response to these stressors. Implications in the future include identifying promising communication strategies that could act as protective factors, addressing workforce constraints and diminishing resources through innovative models of care.
Keyphrases
- mental health
- coronavirus disease
- sars cov
- social media
- healthcare
- public health
- palliative care
- primary care
- end stage renal disease
- mental illness
- newly diagnosed
- health information
- prognostic factors
- chronic kidney disease
- cross sectional
- quality improvement
- peritoneal dialysis
- young adults
- machine learning
- chronic pain
- electronic health record
- big data
- artificial intelligence
- patient reported outcomes