Online Clinic, a New Method of Delivering Psychotherapy
Bibliographic record
Abstract
Introduction Psychotherapy is one of the most widely investigated and practiced forms of treatment used in the treatment of different mental health problems. However, there are some barriers in delivering this treatment, including long waiting lists, therapist shortage and lack of access to therapists in remote areas. Therefore, using alternative methods to overcome these barriers seems necessary. Method The division of psychiatry at Queen's university provides different psychotherapy groups for individuals suffering from different kinds of mental health problem. We gave the participants the opportunity to choose online psychotherapy through an online clinic or the live group sessions. All the patients were assessed by different questionnaires for evaluation of the efficacy of the treatment. The online clinic was designed to facilitate the communication between patients and clinicians and the material was delivered in PowerPoint format through the online platform. All user activities were logged for security purposes. Results Statistical analysis showed that this method of delivering psychotherapy significantly reduced patients’ symptoms and also decreased the number of people on the waiting list and increased the amount of compliance in patient's taking part in psychotherapy and number of people who were able to receive psychotherapy. Conclusion Despite the proven short and long-term efficacy of psychotherapy, there are some barriers in delivering this treatment. It is an unequivocal public health needs to overcome these barriers through alternative methods of therapy. With Internet use ever rising, developing an online clinic could be a new way in delivering different kinds of psychotherapy.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.007 |
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".