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Record W2036765686 · doi:10.1002/dat.20114

Experience from both sides: A PD nurse as a PD patient

2007· article· en· W2036765686 on OpenAlexaboutno aff
Dimitrios G. Oreopoulos

Bibliographic record

VenueDialysis & Transplantation · 2007
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePeritoneal dialysisDialysisHemodialysisContinuous ambulatory peritoneal dialysisKidney diseaseNursingFeelingHome hemodialysisIntensive care medicineSurgeryInternal medicinePsychology

Abstract

fetched live from OpenAlex

During a recent trip to Hungary I was happy to meet Bátor Bálintné (“Gizike”), a pleasant 36-year-old nurse at a dialysis unit in Győr, a city 80 miles outside of Budapest. She was introduced to me as the peritoneal dialysis nurse. I never imagined that I was also talking to a patient undergoing continuous ambulatory peritoneal dialysis (CAPD). Gizike started her nursing career in a hospital trauma center. Following this, she worked as a public health nurse until she developed end-stage renal disease (ESRD) and required dialysis. She had chronic renal failure due to chronic pyelonephritis that had started at age 9; it advanced to ESRD in 2004. She had accepted her chronic kidney disease and was prepared psychologically when she was told that she had to start dialysis. She describes the initiation of dialysis as a turning point in her life and thinks that her decision to go on dialysis was made easier because she had already accepted her chronic illness. Gizike had a choice of either CAPD or hemodialysis (HD). She chose CAPD, primarily because of the freedom and independence it promised her. After initiating peritoneal dialysis (PD), and considering her nursing background and devotion to the PD modality, her unit's administration thought she would make an ideal PD nurse, an invitation she happily accepted. The patients accepted her fully knowing that, as a patient on CAPD herself, she fully understood the trying nature of living with ESRD and undergoing dialysis. When teaching patients, especially new ones, she relies on her first-hand experience to give them advice about how to accept their condition and the new treatment. She talks to them about the various aspects of HD and PD and, on at least two occasions, was able to convince HD patients to switch to CAPD. She was introduced to me as the peritoneal dialysis nurse. I never imagined that I was also talking to a patient undergoing CAPD. As both a dialysis nurse and patient, she is in an excellent position to help other patients faced with the trauma of starting dialysis. She believes it is easier for her to be compassionate with patients because she shares their circumstances. She approaches them not only as a nurse but also as a fellow patient, and sees herself as a companion on their life's journey while giving them spiritual support. She often holds their hands while she comforts them, especially because she knows what is going on inside them, and helps them to bear their burdens. I asked her what advice she gives other CAPD patients. She tells them “not to give up and to follow their medical instructions. With CAPD [you] can live a pleasant and productive life.” I left Hungary most impressed and inspired by the grace and enthusiasm of this young lady. I thank Gizike for being who she is and wish her the best in her life's journey. The author is a nephrologist with Toronto Western Hospital, Toronto, Ontario. He is also a member of D&T's Editorial Advisory Board. Do you have a memorable patient experience you'd like to share? D&T wants to hear from you! E-mail the editor at skuehne@wiley.com.

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)0.006
metaresearch head score (Gemma)0.018
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 score0.020
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0200.008
Scholarly communication0.0110.011
Open science0.0030.013
Research integrity0.0080.022
Insufficient payload (model declined to judge)0.0070.002

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 head0.009
GPT teacher head0.270
Teacher spread0.261 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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