Early Outcomes of the Integrated Care Pathway for Concurrent Major Depressive Disorder and Alcohol Dependence
Bibliographic record
Abstract
Both Major Depressive Disorder (MDD) and Alcohol Dependence (AD) are highly prevalent, comorbid and have significant impact on morbidity, mortality and socioeconomic burden. Several studies have suggested that these concurrent conditions lead to suboptimal treatment outcomes. Combined psycho- and pharmacotherapies for both conditions promise better outcomes than treatment as usual. We developed and implemented an Integrated Care Pathway (ICP) specifically for concurrent MDD and AD. The aim of the study is to assess the clinical effectiveness of the ICP approach. To compare treatment completion rates between the ICP and historical controls To describe the changes in patterns of drinking and severity of depressive symptoms in ICP patients. Review of clinical charts of ICP patients (n=28) and historical controls (n=92). The ICP patients had significantly higher treatment completion rates compared to historical controls (53.8% vs 21.7%; Fig. 1) Download : Download full-size image Data on patterns of drinking (reduction of percent heavy drinking days from 51.4% to 34.5%), and severity of cravings and depressive symptoms (Fig. 2) were not sufficient for proper statistical testing due to small sample size and multiple missing data points, but showed a tendency for improvement. Download : Download full-size image2 2 ICP patients showed a tendency for improvement and significantly greater treatment completion rates than historical controls. Larger sample size and further data collection are needed to corroborate these findings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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".