Chronic Pain Among Homeless Persons with Mental Illness
Bibliographic record
Abstract
OBJECTIVE: Chronic pain is an important public health issue. However, characteristics and needs of marginalized populations have received limited attention. Studies on prevalence and correlates of chronic pain among homeless persons are lacking. We assessed chronic pain among homeless persons with mental illness in the At Home/Chez Soi study. DESIGN: Cross-sectional data from a randomized controlled trial on homelessness and mental health. SETTING: Data collected between 2009 and 2013 in three Canadian cities. SUBJECTS: One thousand two hundred eighty-seven homeless persons with mental illness. METHODS: Data on chronic pain and utilization of prescribed and nonprescribed interventions was assessed using a chronic pain screening instrument. Mental illness was diagnosed with the Mini-International Neuropsychiatric Interview. RESULTS: Forty-three percent reported moderate to severe chronic pain, interfering with general daily activities (80%), sleep (78%), and social interactions (61%). Multivariate analysis indicated that increasing age and diagnoses of major depressive disorder, mood disorder with psychotic features, panic disorder, and post-traumatic stress disorder (PTSD) were independent predictors of chronic pain. Chronic pain was further associated with increased suicidality. Among participants reporting chronic pain, 64% had sought medical treatment and 56% treated pain with prescribed drugs, while 38% used illicit drugs for pain relief. CONCLUSIONS: Chronic pain is very common among homeless persons with mental illness and affects activities of daily living. Clinicians treating this population should be aware of the common connections between chronic pain, depression, panic disorder, PTSD, and substance use. While the data indicate the contribution of chronic pain to complex treatment needs, they also indicate a clear treatment gap.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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 teacher head, 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".