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Record W3209314439 · doi:10.1016/j.ekir.2021.10.011

A Focus Group Study of Self-Management in Patients With Glomerular Disease

2021· article· en· W3209314439 on OpenAlexaff
Simon Carter, Claris Teng, Talia Gutman, Charlotte Logeman, D C Cattran, Liz Lightstone, Arvind Bagga, Sean J. Barbour, Jonathan Barratt, John Boletis, Dawn J. Caster, Rosanna Coppo, Fernando C. Fervenza, Jürgen Floege, Michelle Hladunewich, Jonathan Hogan, A. Richard Kitching, Richard Lafayette, Ana Malvar, Jai Radhakrishnan, Brad H. Rovin, Nicole Scholes‐Robertson, Hernán Trimarchi, Hong Zhang, Karolis Ažukaitis, Yeoungjee Cho, Andrea K. Viecelli, Louese Dunn, David Harris, David W. Johnson, Peter G. Kerr, Paul Laboi, Jessica Ryan, Jenny I. Shen, Lorena Ruiz, Angela Yee‐Moon Wang, Achilles Hoi Kan Lee, Samuel Fung Ka Shun, M.K.H. Tong, Armando Teixeira‐Pinto, Martin Wilkie, Stephen I. Alexander, Jonathan C. Craig, Adam Martin, Allison Tong

Bibliographic record

VenueKidney International Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsSunnybrook Health Science CentreHealth Sciences CentreUniversity of British ColumbiaToronto General HospitalUniversity of Toronto
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesNational Health and Medical Research CouncilNational Institutes of HealthStellar Astrophysics Centre
KeywordsAutonomyMedicineDiseaseHealth careAllianceFocus groupDisease managementNursingInternal medicinePolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: Patients with glomerular disease experience symptoms that impair their physical and mental health while managing their treatments, diet, appointments and monitoring general and specific indicators of health and their illness. We sought to describe the perspectives of patients and their care partners on self-management in glomerular disease. METHODS: = 34) in Australia, Hong Kong, the United Kingdom, and United States. Transcripts were analyzed thematically. RESULTS: We identified the following 4 themes: empowered in autonomy (gaining confidence through understanding, taking ownership of disease and treatment, learning a positive health approach); overwhelmed by compounding treatment burdens (financially undermined and depleted, demoralized by side effects and harms, frustrated by fragmented and inflexible care, fear of possible drug harms); striving for stability and normalcy (making personal sacrifices, maximizing life participation, attentiveness to bodily signs, avoiding precarious health states, integrating medicines into routines); and necessity of health-sustaining relationships (buoyed by social support, fulfilling meaningful responsibilities, sharing and normalizing experiences, seeking a trusting and respectful alliance). CONCLUSION: Patients with glomerular disease and their care partners value their capacity for autonomy and disease ownership, stability of their health, and relationships that support self-management. Strategies directed at strengthening these factors may increase self-efficacy and improve the care and outcomes for patients with glomerular disease.

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)0.011
metaresearch head score (Gemma)0.014
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 score0.011
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0080.003
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.005
GPT teacher head0.243
Teacher spread0.238 · 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

Citations7
Published2021
Admission routes1
Has abstractyes

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