MétaCan
Menu
Back to cohort

Hospital‐Based Nocturnal Hemodialysis—A Novel Approach to Solving Old Problems

2004· article· en· W1804038467 on OpenAlexaffvenue
John Campbell, Douglas Hobbs

Bibliographic record

VenueHemodialysis International · 2004
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Operations and Scheduling Optimization
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineOvercrowdingHemodialysisDialysisNocturnalFluid restrictionStaffingHome hemodialysisEmergency medicineEconomic shortageIntensive care medicineMedical emergencyNursingInternal medicine

Abstract

fetched live from OpenAlex

It is unlikely that there is a solitary hospital‐based dialysis unit that can claim an unlimited amount of available chronic spots. Many units, in fact, constantly face a problem of overcrowding, long patient waiting lists, and ongoing shortages of nurses trained in highly specialized areas such as dialysis. In addition, conventional dialysis does not afford the best outcomes to patients with lifestyle, fluid control, hypotension, or hypertension issues. Objective: We developed an in‐hospital nocturnal program with the goal of solving some of these issues related to wait lists, overcrowding, and shortages of trained hemodialysis nurses. Method: In the first year, a four‐bed room was converted into a 4 station unit. Nurses from the 24 bed in‐patient Nephrology/Urology/Ophthalmology unit were trained to perform hemodialysis. Stable, hospitalized dialysis patients or in‐center dialysis patients were selected if they met criteria drawn up by the medical director. Staffing for the unit was established at 3 : 1 or 4 : 1 patient to nurse ratio. Support staff included a hemodialysis‐trained ward nurse with an assignment of 5–6 hospitalized patients. Back‐up support included assistance with trouble‐shooting and break coverage for the nocturnal nurse. Results: We currently have 12 nurses from the ward trained to do hemodialysis. The nocturnal unit has been operating 3 nights/week, with plans to expand to 6 nights/week within the year. We have 3 patients on the program with plans to increase to 6–8 patients as more nurses are trained. Initiation of hospital‐based nocturnal hemodialysis has led to the opening of in‐center dialysis spots as well as shortening wait periods for patients in the Pre‐Renal Clinic, awaiting initiation of chronic dialysis. This model has also provided the in‐center dialysis unit with a greater pool of skilled hemodialysis nurses to draw from during shortages. Anecdotal reports from patients indicate that they feel much better, and 1 patient no longer requires antihypertensives for their blood pressure control. Conclusion: We conclude that hospital‐based nocturnal hemodialysis is a novel and extremely viable solution for many of the issues facing dialysis units today.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.659
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.359
Teacher spread0.304 · 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.

Study designSimulation or modeling
Domainnot available
GenreMethods

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

Citations0
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueHemodialysis InternationalSame topicHealthcare Operations and Scheduling OptimizationFrench-language works237,207