Case Report: Delivery of Family Therapy in the Treatment of Anorexia Nervosa Using Telehealth
Bibliographic record
Abstract
Family therapy plays an important role in the comprehensive treatment of adolescents with anorexia nervosa (AN). However, most comprehensive hospital-based treatment facilities for eating disorders are situated in large urban centers, thus not accessible to individuals living in underserviced rural communities. Telehealth is now being used to provide psychiatric services to individuals who do not have access to urban-based treatment centers. We report the therapeutic outcome and patient satisfaction of using telehealth to provide family therapy as an adjunctive treatment for AN to an adolescent female admitted to a large urban-based hospital treatment program. Family therapy was delivered via telehealth in a therapeutic environment within a hospital setting, and was received in a telehealth facility in the rural community. Family therapy was effectively delivered and contributed to patient recovery, as measured by objective criteria (weight gain, improved medical condition) and subjective clinical observations. In addition, all family members reported high satisfaction with telehealth without any concern regarding confidentiality. The advantages of telehealth are discussed in the context of legal and ethical issues relating to the use of this technology to deliver psychiatric care.
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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 | 0.000 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".