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Record W2021291785 · doi:10.1016/j.pmrj.2014.09.020

Neurogenic Bowel After Spinal Cord Injury From the Perspective of Support Providers: A Phenomenological Study

2014· article· en· W2021291785 on OpenAlexafffund
Anthony S. Burns, Daphney St‐Germain, Maureen Connolly, Jude J. Delparte, Andréanne Guindon, Sander L. Hitzig, B. Catharine Craven

Bibliographic record

VenuePM&R · 2014
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsCentre for Interdisciplinary Research in RehabilitationBrock UniversityOntario Neurotrauma FoundationToronto Rehabilitation InstituteUniversity of TorontoUniversity Health NetworkUniversité LavalPraxis Spinal Cord Institute
FundersOntario Neurotrauma Foundation
KeywordsMedicineSpinal cord injuryPerspective (graphical)Social supportPsychological interventionQualitative researchEmotional supportNursingPatient satisfactionPsychologyPsychiatryPsychotherapistSpinal cord

Abstract

fetched live from OpenAlex

OBJECTIVE: To gain greater insight into the experience of support providers who assist and support individuals with spinal cord injury (SCI) for the performance of bowel care. DESIGN: Qualitative (phenomenological) interviews and analysis. SETTING: Community. PARTICIPANTS: Ten support providers of individuals with SCI. MAIN OUTCOME MEASUREMENTS: Themes related to supporting bowel care for individuals with SCI. RESULTS: Support providers identified concerns and challenges as well as sources of satisfaction related to the provision of bowel care to individuals with SCI. Traits and characteristics of effective support providers also emerged. CONCLUSIONS: Individuals with SCI often require emotional, logistical, and/or physical assistance to complete bowel care. Exploration of neurogenic bowel care from the perspective of support providers identified concerns and challenges, sources of satisfaction, and important traits and characteristics of support providers. This information can facilitate the identification of effective support providers and the provision of enhanced training and support. Interventions of this nature can improve the experience for individuals with SCI and their supports.

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)0.005
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0060.006
Scholarly communication0.0040.004
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.305
Teacher spread0.278 · 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 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

Citations18
Published2014
Admission routes2
Has abstractyes

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