A Gender-Focused Perspective on Health Service Utilization in Comorbid Bipolar I Disorder and Alcohol Use Disorders
Bibliographic record
Abstract
OBJECTIVES: This study compares health service utilization by individuals with comorbid lifetime bipolar I disorder and lifetime alcohol use disorders (AUD) to that of individuals with either diagnosis alone, using nationally representative data. METHOD: The 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions was used to identify respondents with bipolar I disorder only (BD-only; N = 636), AUD only (N = 11,068), and comorbid bipolar I disorder and AUD (BD-AUD; N = 775). Diagnoses were generated using the National Institute on Alcohol Abuse and Alcoholism Alcohol Use Disorder and Associated Disabilities Interview Schedule-DSM-IV Version. The 3 groups were compared with respect to self-reported health service utilization. RESULTS: For both men and women, respondents in the BD-AUD group were significantly more likely than AUD-only respondents to report any alcohol-related service utilization (p < .001). BD-AUD respondents were significantly more likely to report bipolar disorder-related hospital admissions as compared with BD-only respondents among males only (p = .009). Within the BD-AUD group, males reported significantly greater utilization of AUD treatment only (p < .001), and females reported significantly greater utilization of bipolar disorder treatment only (p < .001) and significantly greater likelihood of utilizing mental health services overall (p < .001). There was no gender difference in the proportion of respondents who utilized both AUD and bipolar disorder services. CONCLUSIONS: As expected, individuals with comorbid bipolar I disorder and AUD utilize significantly more mental health services than individuals with either disorder alone. The primary original finding is that among those with comorbid bipolar I disorder and AUD, bipolar I disorder is more likely to go untreated among males and AUD is more likely to go untreated among females. Gender may be an important factor to consider in future health service planning for comorbid bipolar I disorder and AUD.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".