Treatment-Seeking Rates and Associated Mediating Factors among Individuals with Depression
Bibliographic record
Abstract
OBJECTIVE: To systematically review the literature with respect to treatment-seeking rates for depression and associated mediating factors. This review focuses on adolescents and adults of all ages. METHODS: A structured literature review using Medline and PsychInfo databases revealed 38 relevant papers. Two trained reviewers independently and blindly assessed each study according to 4 inclusion criteria. A total of 17 papers met all 4 criteria. RESULTS: Between 17.0% and 77.8% of individuals with depressive episodes or disorders sought treatment in these studies. We could explain the range in rates by diverse measures of depression, mediating factors that influence treatment-seeking, varied years in which the studies were done, and different time periods over which treatment-seeking was assessed. CONCLUSIONS: Treatment-seeking rates for major depression appear to have increased over the years. Age, race, social supports, and clinical and psychiatric factors seem to influence treatment-seeking rates most. Public health initiatives can use this information to facilitate service access and delivery.
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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 | 0.014 | 0.063 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".