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Record W4307714149 · doi:10.1177/10848223221130504

Obstacles and Pathways on the Journey to Access Home and Community Care by Older Adults Living With HIV/AIDS in British Columbia, Canada: Thrive, a Community-Based Research Study

2022· article· en· W4307714149 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHome Health Care Management & Practice · 2022
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsSimon Fraser UniversityAIDS Vancouver
Fundersnot available
KeywordsReferralFailure to thriveMedicineGerontologyHuman immunodeficiency virus (HIV)Care pathwayQuality of life (healthcare)NursingFamily medicineHealth careEconomic growthPediatrics

Abstract

fetched live from OpenAlex

Older adults living with HIV (OALHIV) (i.e., age ≥50) now constitute over 50% of all people accessing HIV treatment in British Columbia (BC), Canada. As OALHIV age, the need for supportive care in non-acute settings, including home and community care (HCC), is increasing. The Thrive research project was co-created alongside OALHIV in BC to support people to thrive with a good quality of life (as contrasted with just surviving). Phase 1 of the project linked treatment and demographic records for 5603 OALHIV accessing care in BC. Phase 2 took a community-based research approach with semi-structured interviews to understand obstacles and pathways experienced by 27 OALHIV in accessing HCC. This article summarizes previously published Phase 1 findings and explores Phase 2 findings in-depth. On the HCC journey traveled by OALHIV in BC, there are four main junctures at which obstacles and pathways appear: (1) before referral, (2) during the referral process, (3) at the assessment, and (4) while receiving services. Obstacles are largely related to fluctuating HCC priorities and funding cuts tied to election cycles, requiring systemic and policy changes to enable positive outcomes and impacts in the provision of HCC services. These obstacles can be transformed into pathways through public policy and client-centered, culturally safe 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.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0140.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0000.000

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 head0.085
GPT teacher head0.401
Teacher spread0.315 · 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