The complex association of barriers and interest in internet-delivered cognitive behavior therapy for depression and anxiety: informing e-health policies through exploratory path analysis
Bibliographic record
Abstract
BACKGROUND: Internet-delivered cognitive behavioral therapy (ICBT) provides critical remote access to mental health care to at-risk populations. However, to our knowledge, no investigation has been conducted to understand complex pathways through which barriers to care (i.e. structural, attitudinal and technological) correlate with patient interest in ICBT. AIM: The objective of this study is to develop and test a pathway analysis framework using structural equation modeling to understand direct and mediating associations of barriers to care with interest in ICBT. METHODS: = 200) in Saskatchewan, Canada. An online survey assessed interest in ICBT, barriers to ICBT, demographics, and depression and anxiety symptoms. Utilizing structural equation modeling, a path analysis framework was developed. RESULTS: Path analysis results showed how associations between complex barriers and demographic variables correlate with interest in ICBT. For instance, the negative association of perceived financial concerns and life chaos on interest in ICBT was mediated by perceived access to care. CONCLUSION: The findings identify specific barriers that could be addressed through targeted population health interventions to improve uptake of ICBT.
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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) | 0.000 | 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".