Factors associated with perceived need for mental health care in multiple sclerosis
Bibliographic record
Abstract
BACKGROUND: Within the multiple sclerosis (MS) population, depression and anxiety are highly prevalent comorbidities that are associated with adverse outcomes such as diminished quality of life and disability progression. In the general population, many people who do not meet formal diagnostic criteria for depression or anxiety disorders still identify a need for mental health care. Limited data are available regarding the perceived need for mental health care among persons with MS. OBJECTIVE: We aimed to determine factors associated with a perceived need for mental health care in the MS population. METHODS: Participants with MS completed the Hospital Anxiety and Depression Scale (HADS) to assess severity of depression and anxiety symptoms, and reported whether they perceived a need for mental health care, in the context of a larger study examining the burden of psychiatric disorders in immune-mediated inflammatory disease. Participants were also evaluated using the Structured Clinical Interview for DSM-IV-TR (SCID) to diagnose depression or anxiety disorders. Participants reported their sociodemographic characteristics, and underwent physical assessments to determine their disability status. Descriptive analyses and binary logistic regression models were used to determine sociodemographic and clinical factors associated with perceived need for mental health care. RESULTS: Of 255 participants enrolled, 251 were included in this analysis. Most participants were women, Caucasian, with post-secondary education, with a mean (SD) age at enrollment of 50.9 (12.9) years. They predominantly had a relapsing-remitting MS course. Nearly one-quarter of participants had a current SCID diagnosis of depression or anxiety (n = 57, 22.7%). Overall, 31.8% (n = 80) of participants reported a need for mental health care. These individuals were slightly younger at enrollment (p = 0.037), but otherwise did not differ with respect to sociodemographic characteristics, compared to participants not reporting this need. Those identifying need for mental health care also had an earlier age of MS symptom onset (p = 0.011). After adjusting for sociodemographic and clinical factors, elevated symptoms of depression (odds ratio [OR] 2.36; 95%CI: 1.06, 5.25) and anxiety (OR 6.08; 95%CI: 2.78, 13.3) were associated with an increased likelihood of reporting a need for mental health care. Any current SCID diagnosis of depression or anxiety was not associated with perceived need for mental health care after accounting for symptoms of depression and anxiety. CONCLUSIONS: One-third of people with MS identified a need for mental health care. Symptoms of anxiety and depression, but not current diagnosed mental health disorders, were the predominant factors associated with a perceived need for care.
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".