Knowledge and Practice of Incremental Hemodialysis: A Survey of Canadian Nephrologists
Notice bibliographique
Résumé
BACKGROUND: Incremental hemodialysis, a strategy to individualize dialysis prescription based on residual kidney function, may be associated with enhanced quality of life and decreased health care costs compared with conventional hemodialysis. OBJECTIVE: We surveyed practicing Canadian nephrologists to assess knowledge, perceptions, and practice pattern on the use of incremental hemodialysis. DESIGN/SETTING: We distributed a cross-sectional, web-based survey. We asked about incremental hemodialysis prescribing practices, including frequency of prescription, clinical factors used to determine suitability for treatment, and barriers to implementation. The survey was conducted from September 21 to October 30, 2020. PARTICIPANTS: We distributed the survey to practicing Canadian nephrologists identified from a private membership list of the Canadian Society of Nephrology (CSN), as well as to nephrologists named on a publicly available national list of practicing Canadian nephrologists created from provincial College of Physician registries. These were samples of convenience. METHODS: We conducted descriptive analysis of categorical data including frequencies for nominal variables and measures of central tendency (mean) and dispersion (standard deviation) for ordinal variables. We used chi-square analysis to identify association between participant and practice characteristics and their opinions and attitudes toward incremental dialysis. We used simple thematic analysis on free-text responses on questions regarding the prescription of incremental hemodialysis, focusing on age and baseline management of cardiac and noncardiac comorbidities. RESULTS: The response rate was 35% (243/691). Most (138/211, 65%) of the participants prescribed incremental hemodialysis using an individualized approach at the nephrologist's discretion. Most participants (200/203, 98%) did not report any policy for implementation. Residual urine output was identified as the most important factor for eligibility (112/172, 65%), followed by electrolyte stability (76/172, 44%) and patient goals of care (69/117, 40%). Most participants agreed that dialysis prescriptions should take residual kidney function into consideration; however, 74% of the participants disagreed with a statement that there was strong evidence supporting incremental hemodialysis. Barriers identified included patient safety, patient acceptance of dose escalation, and logistics of scheduling. Despite these barriers, 82% of participants felt that that incremental hemodialysis is feasible with their current resources and 78% agreed that with specific criteria, it is a safe option. LIMITATIONS: The generalizability of our study is limited by its response rate of 35%; however, this is comparable with typical response rates seen in electronic surveys. Most participants practice in an academic setting, which may have introduced bias to the results. CONCLUSIONS: Despite the perception of limited evidence and a lack of guidance on implementation, incremental hemodialysis is frequently practiced by Canadian nephrologists. Barriers to implementation were identified, highlighting the need for research to guide practice.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».