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Record W2513972839 · doi:10.1111/jir.12322

Needs among persons with human immunodeficiency virus and intellectual and developmental disabilities in community mental health care: a cross‐sectional study

2016· article· en· W2513972839 on OpenAlexaffabout
Anna Durbin, Frank Sirotich, Yona Lunsky, Kay Roesslein, Janet Durbin

Bibliographic record

VenueJournal of Intellectual Disability Research · 2016
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsInstitute for Clinical Evaluative SciencesCentre for Addiction and Mental HealthCanadian Blood ServicesUniversity of TorontoCanadian Mental Health Association
Fundersnot available
KeywordsMental healthPublic healthIntellectual disabilitySocial supportMedicineGerontologyNeeds assessmentBasic needsCross-sectional studyPsychologyPsychiatryNursingPoverty

Abstract

fetched live from OpenAlex

BACKGROUND: The experience of having human immunodeficiency virus (HIV) is often associated with co-occurring mental health issues. Community mental health services are an important source of support for persons with HIV living in the community. Persons with intellectual disability (ID) are vulnerable to HIV and may have unique support needs beyond those without ID receiving community care. This study compared support needs of men with HIV in community mental health programmes, with and without ID. METHODS: The sample was composed of 138 HIV-positive men with and without ID receiving mental health case management from one community organisation in Ontario, Canada, on 31 March 2013. Staff-rated needs across 16 domains grouped into four clusters were measured using the Camberwell Assessment of Need: Basic needs (accommodation, food, public transportation, money and benefits); self-care/functional needs (looking after the home, self-care and daytime activities); health/safety needs (physical health, psychological distress, psychotic symptoms, safety to self and safety to others); and social needs (company, intimate relationships and sexual expression). Adjusted logistic regression models examined the association between ID and each need domain. RESULTS: One-quarter of the sample (n = 34/138, 24.6%) had co-occurring ID. Those with ID were more likely to have needs in the basic cluster [odds ratios: food 4.05 (1.14, 14.44), P:0.031; benefits 2.58 (1.05, 6.32), P:0.038)] and self-care/functional cluster [looking after the home (2.75 (1.17, 6.49), P:0.021); self-care (2.72 (1.18, 6.27), P:0.019)], but were less likely to have need for sexual expression: 0.35 (0.14,0.90), P:0.030) (social cluster). There were no differences in the domains in the health/safety cluster. CONCLUSION: Despite elevated cognitive needs in the basic and self-care/functional clusters for the ID group, limited other differences suggest that with moderate additional targeting, community mental health programmes for persons with HIV may be appropriate for men with ID.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.239

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.090
GPT teacher head0.425
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations27
Published2016
Admission routes2
Has abstractyes

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