Reduction in Costs after Treating Comorbid Panic Disorder with Agoraphobia and Generalized Anxiety Disorder.
Bibliographic record
Abstract
BACKGROUND: Panic disorder with agoraphobia (PDA) and generalized anxiety disorder (GAD) are impairing and costly disorders that are often misdiagnosed and left untreated despite multiple consultations. These disorders frequently co-occur, but little is known about the costs associated with their comorbidity and the impact of cognitive-behavioral therapy (CBT) on cost reduction. AIMS OF THE STUDY: The first objective of this study was to assess the mental health-related costs associated with the specific concomitance of PDA and GAD. The second aim was to determine whether there is a reduction in direct and indirect mental health-related costs following conventional CBT for the primary disorder only (PDA or GAD) or combined CBT adapted to the comorbidity (PDA and GAD). METHODS: A total of 123 participants with a double diagnosis of PDA and GAD participated in this study. Direct and indirect mental health-related costs were assessed and calculated from a societal perspective at the pre-test, the post-test, and the three-month, six-month and one-year follow-ups. RESULTS: At the pre-test, PDA-GAD comorbidity was found to generate a mean total cost of CADUSD 2,000.48 (SD = USD 2,069.62) per participant over a three-month period. The indirect costs were much higher than the direct costs. Both treatment modalities led to significant and similar decreases in all cost categories from the pre-test to the post-test. This reduction was maintained until the one-year follow-up. DISCUSSION: Methodological choices may have underestimated cost evaluations. Nonetheless, this study supports the cost offset effects of both conventional CBT for primary PDA or GAD and combined CBT for PDA-GAD comorbidity. IMPLICATIONS FOR HEALTHCARE PROVISION AND USE: Treatment of comorbid and costly disorders with evidence-based treatments such as CBT may lead to considerable economic benefits for society. IMPLICATIONS FOR HEALTH POLICIES: Considering the limited resources of healthcare systems, it is important to make choices that will lead to better accessibility of quality services. The application of CBT for PDA, GAD or both disorders and training mental health professionals in this therapeutic approach should be encouraged. Additionally, it would be favorable for insurance plans to reimburse employees for expenses associated with psychological treatment for anxiety disorders. IMPLICATIONS FOR FURTHER RESEARCH: In addition to symptom reduction, it would be of great pertinence to explore which factors can contribute to reducing direct and indirect mental health-related costs.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".