Identification and Prioritization of Canadian Society of Nephrology Clinical Practice Guideline Topics With Multidisciplinary Stakeholders and People Living With Kidney Disease: A Clinical Research Protocol
Notice bibliographique
Résumé
Background: Despite efforts to provide evidence-based care for people living with kidney disease, health care provider goals and priorities are often misaligned with those of individuals with lived experience of disease. Coupled with competing interests of time, resources, and an abundance of suitable guideline topics, identifying and prioritizing areas of focus for the Canadian nephrology community with a patient-oriented perspective is necessary and important. Similar priority-setting exercises have been undertaken to establish research priorities for kidney disease and to standardize outcomes for kidney disease research and clinical care; however, research priorities are distinct from priorities for guideline development. Inclusion of people living with health conditions in the selection and prioritization of guideline topics is suggested by patient engagement frameworks, though the process to operationalizing this is variable. We propose that the Canadian Society of Nephrology Clinical Practice Guideline Committee (CSN CPGC) takes the opportunity at this juncture to incorporate evidence-based prioritization exercises with involvement of people living with kidney disease and their caregivers to inform future guideline activities. In this protocol, we describe our planned research methods to address this. Objective: To establish consensus-based guideline topic priorities for the CSN CPGC using a modified Delphi survey with involvement of multidisciplinary stakeholders, including people living with kidney disease and their caregivers. Study design: Protocol for a Modified Delphi Survey. Setting: Pilot-tested surveys will be distributed via email and conducted using the online platform SurveyMonkey, in both French and English. Participants: We will establish a group of multidisciplinary clinical and research stakeholders (both within and outside CSN membership) from Canada, in addition to people living with kidney disease and/or their caregivers. Methods: A comprehensive literature search will be conducted to generate an initial list of guideline topics, which will be organized into three main categories: (1) International nephrology-focused guidelines that may require Canadian commentary, (2) Non-nephrology specific guidelines from Canada that may require CSN commentary, and (3) Novel topics for guideline development. Participants will engage in a multi-round Modified Delphi Survey to prioritize a set of "important guideline topics." Measures: Consensus will be reached for an item based on both median score on the Likert-type scale (≥ 7) and the percentage agreement (≥ 75%); the Delphi process will be complete when consensus is reached on each item. Guideline topics will then be given a priority score calculated from the total Likert ratings across participants, adjusted for the number of participants. Limitations: Potential limitations include participant response rates and compliance to survey completion. Conclusions: We propose to incorporate evidence-based prioritization exercises with the engagement of people living with kidney disease and their caregivers to establish consensus-based guideline topics and inform future guidelines activities of the CSN CPGC.
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 | 0,156 | 0,127 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,003 |
| Méta-épidémiologie (sens large) | 0,003 | 0,005 |
| Bibliométrie | 0,006 | 0,008 |
| Études des sciences et des technologies | 0,010 | 0,005 |
| Communication savante | 0,006 | 0,005 |
| Science ouverte | 0,006 | 0,006 |
| Intégrité de la recherche | 0,005 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,039 | 0,007 |
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 ».