Interventions, Participative Role, Barriers, and Facilitators for Involvement in eHealth Communication for People Undergoing Hemodialysis: Protocol for a Scoping Review
Notice bibliographique
Résumé
BACKGROUND: eHealth interventions have been shown to offer people living with chronic kidney disease the opportunity of embracing dialysis therapies with greater confidence, the potential to obtain better clinical outcomes and increased quality of life, and diverse and flexible designs and delivery options. eHealth interventions or solutions can offer one-way information without the possibility for dialogue, as with most mobile apps. eHealth interventions intending to enable two-way communication between patients undergoing hemodialysis and health professionals are the focus of this review. eHealth communication interventions that enable two-way communication between patients undergoing hemodialysis and health professionals is an emerging field, but issues relating to participation in eHealth communication for patients undergoing hemodialysis are scarcely described. The current conceptualization of this issue is too scattered to inform the development of future interventions. In this scoping review, we want to assemble and examine this scattered knowledge on participation in two-way eHealth communication for patients undergoing hemodialysis. OBJECTIVE: We want to understand the participative role of people living with chronic kidney disease undergoing hemodialysis in available communicative eHealth interventions and to understand which barriers and facilitators exist for patient involvement in eHealth communication with health professionals. METHODS: A scoping review methodology is guiding this study. Peer-reviewed primary studies, including quantitative, qualitative, and mixed methods study designs will be included. A systematic search for published studies, dissertations, and theses at the doctoral level in the English language will be conducted in five databases (MEDLINE, Embase, CINAHL, Scopus, and ProQuest Dissertations and Theses). The included literature will focus on adult (18 years or older) patients undergoing hemodialysis who are involved in eHealth communication with health professionals. Data on the type of eHealth communication interventions, the participative role, and barriers and facilitators for the involvement in eHealth communication for people undergoing hemodialysis will be extracted independently by two reviewers. The extracted data will be collected in a draft charting table prepared for the study. Any discrepancies between the reviewers will be solved through discussion or with a third reviewer. RESULTS: Results are anticipated by the spring of 2023 and will be presented in tabular format along with a narrative summary. The anticipated results will be presented in alignment with the objectives of the study, presenting findings on the participative role of patients undergoing hemodialysis in eHealth communication interventions. CONCLUSIONS: We anticipate that this study will inform on eHealth communication interventions and the level of patient participation in eHealth communication for patients undergoing hemodialysis. The systematized overview will possibly identify research gaps and motivate further development of eHealth communication to ensure patient participation. The findings will be of interest to key stakeholders in clinical care, research, development, policy, and patient advocacy. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/38615.
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 | 0,087 | 0,074 |
| Méta-épidémiologie (sens strict) | 0,006 | 0,006 |
| Méta-épidémiologie (sens large) | 0,012 | 0,017 |
| Bibliométrie | 0,013 | 0,011 |
| Études des sciences et des technologies | 0,007 | 0,006 |
| Communication savante | 0,009 | 0,009 |
| Science ouverte | 0,006 | 0,008 |
| Intégrité de la recherche | 0,010 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,068 | 0,012 |
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 ».