Patients' view on screening for depression in general practice
Bibliographic record
Abstract
BACKGROUND: In general practice, depression is often not recognized. As treatment of depression is effective, screening has been proposed as one solution to combat this 'hidden morbidity'. The results of screening programmes for depression, however, are inconsistent and most studies do not show a positive effect on patient outcomes. Patients do not always accept this diagnosis and hence do not receive proper treatment. Nothing is known about the tendency of those patients who screen positive for depression to accept treatment for their 'disclosed' disorder. OBJECTIVE: In this study, we aimed to better understand the views of patients who screened positive in a screening programme for depression. METHODS: We performed a qualitative study with semi-structured in-depth interviews with 17 patients. These adult patients (nine females), all suffering from major depressive disorder, were disclosed by a screening programme for depression performed within 11 Dutch general practices. The transcripts were independently analysed by two researchers using MAXqda2. RESULTS: All patients appreciated the active way in which they were approached for screening. Fifteen of the 17 patients recognized the depressive symptoms but nine of them did not accept the diagnosis. The first explanation for resistance to the diagnosis of depression is fear of stigmatization and scepticism about the usefulness of labelling. Secondly, patients experienced their depressive symptoms as a normal and transitory reaction to adversity. Thirdly, patients had doubts about the necessity and effectiveness of treatment. Depressive symptoms, such as feelings of guilt, self-depreciation and fatigue, hamper help-seeking behaviour. CONCLUSIONS: We conclude that some patients with undisclosed depression, who took the trouble of going through a complete screening programme, felt aversion to being diagnosed as having depression. In the context of screening for depression, we recommend that the patients' view on depression be elicited before diagnosing and offering treatment.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".