MétaCan
Menu
Back to cohort
Record W2766139335 · doi:10.1093/heapro/dax072

Housing, psychosocial and adherence counseling among HIV+ persons in Ghana

2017· article· en· W2766139335 on OpenAlexaff
Eric Y. Tenkorang, Adobea Yaa Owusu, Amos Laar, Eric Yeboah

Bibliographic record

VenueHealth Promotion International · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPsychosocialPsychosocial supportMedicineChristian ministryHuman immunodeficiency virus (HIV)Supportive housingQuality of life (healthcare)Family medicineNursingGovernment (linguistics)PsychiatryPolitical science

Abstract

fetched live from OpenAlex

As part of providing comprehensive HIV/AIDS services, the Ghana National AIDS Control Programme (NACP) and Ministry of Health recommend that Persons Living with HIV/AIDS (PLWHAs) receive psychosocial support and follow-up visits that ensure medical and drug adherence assistance. The successful implementation of these support services requires patients to have stable and quality housing, yet studies that examine associations between housing, psychosocial support, and adherence counseling among PLWHAs in Ghana and sub-Saharan Africa are limited. Data were collected from 605 PLWHAs attending check-up and receiving Anti-Retroviral Therapy (ART) from both Atua Government Hospital and St. Martin's de Porres Hospital, located in the Manya Krobo district. Results show significant relationships between housing and access to psychosocial counseling and support. Specifically, respondents with stable homes and quality housing were significantly more likely to receive psychosocial counseling and support, compared to those without stable and quality housing. It is important for policy makers to consider housing as an important element of psychosocial counseling and care.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.105
GPT teacher head0.479
Teacher spread0.373 · 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 teacher head, not a consensus.

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

Citations11
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueHealth Promotion InternationalSame topicHomelessness and Social IssuesFrench-language works237,207