Determinants of Unmet Mental Healthcare Needs of Single Adults Who Are Homeless or Vulnerably Housed
Bibliographic record
Abstract
Persons who are homeless experience higher levels of mental illness, unmet mental healthcare needs, and physical healthcare needs than the general population. This study aimed (1) to determine the reasons contributing to having unmet mental healthcare needs (UMHCN) and (2) to examine the determinants of UMHCN among a representative sample of adults who are homeless or vulnerably housed in three Canadian cities (N=1190). Almost a quarter (23.3%) of the sample reported UMHCN in the past year. The reported reasons for having UMHCN pertained especially to the availability (31.5%), accommodation (22.1%), and acceptability (21.3%) of services. Age, city, and need-for-care variables were associated with UMHCN in multivariate analysis. Implications of the findings for policy and program planning are discussed. Les personnes sans-abri présentent des niveaux plus élevés de maladie mentale, de besoins de soins de santé et de besoins non comblés de soins de santé mentale que la population générale. Cette étude visait (1) à déterminer les raisons des besoins non comblés des soins de santé mentale (BNCSM) et (2) à examiner les déterminants des BNCSM auprès d›un échantillon représentatif d›adultes sans-abri ou logés de façon précaire dans trois villes canadiennes (N = 1190). Près d›un quart (23,3%) de l›échantillon a rapporté des BNCSM lors de l›année passée. Les raisons principales des BNCSM portaient sur la disponibilité (31,5%), l’accommodement (22,1%), et l›acceptabilité (21,3%) des services. L’âge, la ville et les besoins de soins étaient les variables associées aux BNCSM en analyse multivariée. Les implications des résultats pour la planification des services et le développement des politiques sont discutées.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".