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Record W2923733162 · doi:10.11124/jbisrir-2017-003864

Human immunodeficiency virus testing and psychosocial outcomes: a scoping review protocol

2019· review· en· W2923733162 on OpenAlexaff
John Baptist Ngobi, Kevin Pottie, Lynne Leonard, Peter Tugwell, Steven J. Hoffman, Vivian Welch

Bibliographic record

VenueThe JBI Database of Systematic Reviews and Implementation Reports · 2019
Typereview
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsCentre for Global Health ResearchYork UniversityBruyèreUniversity of Ottawa
Fundersnot available
KeywordsPsychosocialPsycINFOMEDLINEMedicineProtocol (science)Clinical psychologyTest (biology)PsychologyFamily medicinePsychiatryAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The proposed scoping review will identify psychosocial outcomes immediately following human immunodeficiency virus (HIV) testing and their measurements, specifically among individuals with a new negative or positive test result. INTRODUCTION: No systematic study has described psychosocial outcomes and their measurements in persons immediately following HIV testing. Also, to our knowledge, there is no consensus on a core set of psychosocial outcomes and measurements following HIV diagnosis, which are essential for quality improvement. INCLUSION CRITERIA: All study designs will be considered. Participants with a new positive or negative HIV test result, regardless of sex or age, in any setting will be included. Any measured beneficial or harmful outcomes in the mental and social domains following a new diagnosis will be included. Psychosocial outcomes of participants undergoing treatment and care will be excluded. METHODS: The databases Ovid MEDLINE, Embase and PsycINFO will be searched, and published articles in English from 2007 to the present date will be included. The methods for scoping reviews outlined by the Joanna Briggs Institute will be followed. Data will be extracted from included studies by two reviewers. Any disagreements between the two reviewers will be solved through discussion in a team of five members. To define the specific concepts or outcome (sub)-domains and their measurements, the models proposed by the Outcome Measures in Rheumatology initiative and the Core Outcome Measures in Effectiveness Trials initiative, respectively, will be used. To analyze the data, this study will rely on a multi-level social-ecological model.

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)0.008
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.134
Threshold uncertainty score0.915

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.259
GPT teacher head0.559
Teacher spread0.300 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2019
Admission routes1
Has abstractyes

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