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Record W2469469832

Psychosocial needs assessment post kidney transplant: Feasibility of a post-transplant specific support group.

2016· article· en· W2469469832 on OpenAlexaboutno aff
Angela S. Brijmohan, Olusegun Famure, Kiren Sihota, Mary Shea, Barbara Marzario, Margot Mitchell

Bibliographic record

VenuePubMed · 2016
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialPsychosocial supportSupport groupMedicineKidney transplantSocial supportFamily medicineTransplantationKidney transplantationEmotional supportPsychologySurgeryPsychiatrySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

This project assessed unmet psychosocial needs of kidney transplant recipients and the feasibility of a support group located at an urban Canadian hospital to meet those needs. A survey assessed transplant recipient concerns about psychosocial issues related to transplantation, interest in a support group, desired group composition, facilitation, leadership, barriers and alternative forms of support. Most respondents were more than two years since transplant and were more concerned about medical complications, returning to normalcy, and had a greater desire to talk to other transplant recipients. Forty per cent of respondents indicated they would be interested in a support group. However, 60% indicated that a support group hosted in the hospital setting would be a deterrent to attending, citing time and transportation as the greatest barriers. More research is needed to assess the feasibility of post-kidney transplant support groups closer to recipients' homes and the feasibility of alternative forms of support.

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)0.007
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.047
GPT teacher head0.343
Teacher spread0.296 · 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.

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

Citations5
Published2016
Admission routes1
Has abstractyes

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