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Record W1926969585 · doi:10.1111/hdi.12176

Home hemodialysis: Beliefs, attitudes, and practice patterns

2014· article· en· W1926969585 on OpenAlexvenueno aff
Anuradha Jayanti, Julie Morris, Peter Stenvinkel, Sandip Mitra

Bibliographic record

VenueHemodialysis International · 2014
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHome hemodialysisHemodialysisDisadvantageFamily medicineIntensive care medicineNursingPsychiatry

Abstract

fetched live from OpenAlex

There is increasing interest of the worldwide kidney community in home hemodialysis (HHD). This is due to emerging evidence of its superiority over conventional hemodialysis (HD), largely attributed to improved outcomes on intensive schedule HD, best deployed in patient's own homes. Despite published work in this area, universal uptake remains limited and reasons are poorly understood. All those who provide HD care were invited to participate in a survey on HHD, initiated to understand the beliefs, attitudes, and practice patterns of providers offering this therapy. The survey was developed and posted on the Nephrology Dialysis Transplantation-Educational (NDT-E) website. Two hundred and seventy-two responses were deemed suitable for complete analysis. It is apparent from the survey that there is great variability in the prevalence of HHD. Physicians have a great deal of interest in this modality, with majority viewing home as being the ideal location for the offer of intensive HD schedules (55%). A significant number (21%) feel intensive HD may be offered even outside the home setting. Those who offer this therapy do not see a financial disadvantage in it. Many units identify lack of appropriately trained personnel (35%) and funding for home adaptation (50.4%) as key barriers to widespread adoption of this therapy. Despite the interest and belief in this therapy among practitioners, HHD therapy is still not within reach of a majority of patients. Modifiable organizational, physician, and patient factors exist, which could potentially redefine the landscape of HHD provision. Well-designed systematic research of national and local barriers is needed to design interventions to help centers facilitate change.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.402
Threshold uncertainty score0.780

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.014
GPT teacher head0.289
Teacher spread0.275 · 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 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

Citations32
Published2014
Admission routes1
Has abstractyes

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