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Record W4387491540 · doi:10.21203/rs.3.rs-3411586/v1

Research priorities in HIV, aging and rehabilitation: Building on a Framework with the Canada-International HIV and Rehabilitation Research Collaborative

2023· preprint· en· W4387491540 on OpenAlexafffundabout
Kelly K. O’Brien, Francisco Ibáñez-Carrasco, Kelly Birtwell, Graeme Donald, Darren A. Brown, Andrew D. Eaton, Bakita Kasadha, Emma Stanmore, Natalie St. Clair‐Sullivan, Liam Townsend, Jaime H. Vera, Patricia Solomon

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsMcMaster UniversityUniversity of Toronto
FundersUniversity of TorontoBritish HIV AssociationMiddlesex University
KeywordsRehabilitationPsychological interventionStakeholderHuman immunodeficiency virus (HIV)Community-based rehabilitationMedicineGerontologyNursingPublic relationsPsychologyPolitical scienceFamily medicinePhysical therapy

Abstract

fetched live from OpenAlex

Abstract Background In 2016, the Canada-International HIV and Rehabilitation Research Collaborative established a framework of research priorities in HIV, aging and rehabilitation. Our aim was to review and identify any new emerging priorities from the perspectives of people living with HIV, clinicians, researchers, and representatives from community organizations. Methods We conducted a multi-stakeholder international consultation with people living with HIV, researchers, clinicians and representatives of community-based organizations. Stakeholders convened for a one-day Forum in Manchester, United Kingdom (UK) to discuss research priorities via a web-based questionnaire and facilitated discussions. We analyzed data using conventional content analytical techniques and mapped emerging priorities onto the foundational framework. Results Thirty-five stakeholders from the UK(n = 29), Canada(n = 5) and Ireland(n = 1) attended the Forum, representing persons living with HIV or representatives from community-based organizations(n = 12;34%), researchers or academics(n = 10;28%), service providers(n = 6;17%), clinicians(n = 4;11%); and trainees(n = 4;11%). Five priorities mapped onto the Framework of Research Priorities across three content areas: A–Episodic Health and Disability Aging with HIV (disability, frailty, social participation), B-Rehabilitation Interventions for Healthy Aging across the Lifespan (role, implementation and impact of digital and web-based rehabilitation interventions) and C–Outcome Measurement in HIV and Aging (digital and web-based rehabilitation health technology to measure physical activity). Stakeholders indicated methodological considerations for implementing digital and web-based rehabilitation interventions into research and practice and the importance of knowledge transfer and exchange among the broader community. Conclusion Results highlight the sustained importance of the framework of research priorities and provide further depth and areas of inquiry related to digital and web-based rehabilitation interventions and technology aging with HIV.

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)0.331
metaresearch head score (Gemma)0.173
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.331
Threshold uncertainty score0.842

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3310.173
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0290.029
Science and technology studies0.0420.068
Scholarly communication0.0480.022
Open science0.0090.037
Research integrity0.0100.015
Insufficient payload (model declined to judge)0.0030.000

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 head0.065
GPT teacher head0.466
Teacher spread0.400 · 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.

Study designQualitative
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

Citations1
Published2023
Admission routes3
Has abstractyes

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