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Record W4240121041 · doi:10.1093/geront/gnw162.2623

PERSONALIZED TREATMENT INTERVENTIONS FOR DEPRESSED COMMUNITY-DWELLING OLDER ADULTS

2016· article· en· W4240121041 on OpenAlexaff
Tonya Taylor, Charles A. Emlet, Lesley M. Harris, Charles Furlotte, C Pierpaoli, David J. Brennan

Bibliographic record

VenueThe Gerontologist · 2016
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsUniversity of TorontoMcMaster University
Fundersnot available
KeywordsPsychological interventionGerontologyPsychologyDepression (economics)Aging in placeMedicinePsychiatryEconomics

Abstract

fetched live from OpenAlex

With increased access to antiretroviral therapy, people living with HIV (PLWH) are living longer and healthier lives. Despite treatment efficacy, studies show that older PLWH evidence significant burdens of disease as they age, as seen in higher levels of non-HIV related comorbidities, such that multimorbidity is the rule and not the exception. Normative aging-related stressors, such as chronic illness, disability, and social losses can undermine health outcomes. For many, these stressors are exacerbated by poverty, unemployment, stigma and discrimination, social isolation, and housing and food insecurity. Despite these complexities, older PLWH can achieve optimal aging with HIV. This paper explores the shifting notions of successful aging and programmatic applications. We present a new approach for older PLWH at risk that includes viral suppression, HIV self-care management and the reduction of risk behaviors (e.g., smoking, substance abuse) to maintain physical and psychosocial functional ability and foster wellbeing in older age.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.582

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.137
GPT teacher head0.418
Teacher spread0.281 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations0
Published2016
Admission routes1
Has abstractyes

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