Therapists’ Experience of Video Consultation in Specialized Mental Health Services During the COVID-19 Pandemic: Qualitative Interview Study
Bibliographic record
Abstract
BACKGROUND: As part of political and professional development with increased focus on including service users within mental health services, these services are being transformed. Specifically, they are shifting from institutional to noninstitutional care provision with increased integration of the use of electronic health and digitalization. In the period from March to May 2020, COVID-19 restrictions forced rapid changes in the organization and provision of mental health services through the increased use of digital solutions in therapy. OBJECTIVE: The aim of this study was to develop and advance comprehensive knowledge about how therapists experience the use of video consultation (VC). To reach this objective, we evaluated therapists' experiences of using VC in specialized mental health services in the early phase of COVID-19 restrictions. The following questions were explored through interviews: Which opportunities and challenges appeared when using VC during the period of COVID-19 restrictions? In a short-term care pathway, for whom does VC work and for whom does it not work? METHODS: This study employed a qualitative approach based on an abductive strategy and hermeneutic-phenomenological methodology. Therapists and managers in mental health departments in a hospital were interviewed via Skype for Business from March to May 2020, using a thematic interview guide that aimed to encourage reflections on the use of VC during COVID-19 restrictions. RESULTS: Therapists included in this study experienced advantages in using VC under circumstances that did not permit face-to-face consultations. The continuity that VC offered the service users was seen as a valuable asset. Various negative aspects concerning the therapeutic environment such as lack of safety for the most vulnerable service users and topics deemed unsuitable for VC lowered the therapists' overall impression of the service. The themes that arose in the data analysis have been categorized in the following main topics: (1) VC-"it's better than nothing"; (2) VC affects therapists' work situation-opportunities and challenges in working conditions; and (3) challenges of VC when performing professional assessment and therapy on the screen. CONCLUSIONS: Experiences with VC in a mental health hospital during COVID-19 restrictions indicate that there are overall advantages to using VC when circumstances do not permit face-to-face consultations. Nevertheless, various negative aspects in the use of VC lowered the therapists' overall impression of VC. Further qualitative research is needed, and future studies should focus on service users' experiences, cocreation between different stakeholders, and how to scale up the use of VC while ensuring that the service provided is appropriate, safe, and available.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".