Prevalence of mental and social disorders in adults attending primary care centers in Bosnia and Herzegovina.
Bibliographic record
Abstract
AIM: To determine the prevalence of mental and social disorders in adults who attend primary care health centers in Bosnia and Herzegovina. METHODS: Sixty-nine family physicians from the Primary Care Research Network in Bosnia and Herzegovina each invited 20 randomly selected patients from their practices to complete the Patient Health Questionnaire (PHQ), which consists of 26-58 questions about symptoms and signs of depression, anxiety, somatization disorder, eating disorders, and alcoholism. A total of 1574 patients were invited to participate in the study. Physicians reviewed the PHQ and calculated the final score, which determined a provisional diagnosis. Definitive diagnosis was determined by further questioning and clinical knowledge of the patient. Data collection was performed between November 2003 and January 2004. Lists of non-participants were maintained by the physicians. RESULTS: The response rate was 82%. Of 1285 respondents, 61% were women. At least one type of mental or social disorder was found in 26% of the respondents, and 12% had more than one disorder. Somatization disorder, major depression syndrome, and panic syndrome were experienced by 16%, 10%, and 14% of respondents, respectively, while 5% or less were suffering from eating disorders or alcohol abuse. More women than men had somatization disorder, panic syndrome, and binge eating disorder, while more men than women reported alcohol abuse. CONCLUSION: More than one-quarter of all adults who attended family medicine centers in Bosnia and Herzegovina presented with at least one type of mental or social disturbance. New health policies, strengthened professional training, and accessible support networks need to be developed throughout the country.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".