Systematic Evaluation of a Provincial Initiative to Improve Transition to Home Dialysis Therapies
Notice bibliographique
Résumé
Background: The transition from choosing to initiating home dialysis therapies (HDTs) is not clearly standardized for patients and staff, causing increased anxiety and suboptimal self-management for chronic kidney disease (CKD) patients. At BC Renal, a “Transition to HDTs” guidebook (the Guide) was designed, outlining a step-wise approach to transitioning to HDTs for patients, to help address some of these concerns. Objective: We used the Logic Model evaluation framework to assess the value of the Guide to improve patient and staff experience with transitioning to HDTs. Design: This is a prospective cohort quality improvement study. Setting: This study took place at home dialysis programs in British Columbia, Canada, with 2 pilot sites and 2 control sites. Patients: Patients above age 18 who attended kidney care clinics and identified HDT as their renal replacement treatment of choice were included in this study. Measurements: Patient demographics were obtained from British Columbia Renal Patient Records and Outcomes Management Information System, with differences analyzed using Mann-Whitney U test and chi-square test where applicable. Patient surveys were based on Likert rating scales, analyzed using Cochran-Armitage trend test. All tests were 2-sided, with P < .05 considered significant. Methods: The study enrolled patients from December 2018 to April 2019 at 2 pilot and 2 control sites. Patients were followed up for 8 months. The intervention strategies included (1) training of front-line staff to use the Guide and (2) dissemination of the guide to patients. Evaluation tools measuring data at baseline and at the 8-month point included (1) qualitative and quantitative patient surveys, (2) qualitative staff surveys, (3) structured feedback session with renal care staff, and (4) transition rate and time between choosing and starting a HDT. Results: In total, 108 patients were enrolled: 43 patients at pilot sites and 65 in control sites. Twenty-three of 65 in control vs 18 of 43 in pilot transitioned to a HDT by 8-month follow-up. Transition time was 80 vs 89 days in pilot vs control group, but it was not statistically different ( P = .37). The proportion of patients that transitioned to a HDT was 42% vs 35% in pilot vs control group ( P = .497). Patients’ anxiety, illness knowledge, and activation of resources were not significantly different between patients who successfully transitioned at control and pilot sites. During interviews, patients confirmed that the Guide was effective and helped retain knowledge. The staff felt that the intervention did not increase their workload and that the Guide was a good communication tool, but was used inconsistently. Limitations: We had a small sample size and limited number of patients enrolled who chose home hemodialysis, with none in the control group. The results are therefore more applicable to peritoneal dialysis. Conclusions: The Logic Model was useful to evaluate our multi-intervention strategy. While there were no statistically significant differences in transition time, rate, and patient anxiety with or without the Guide, qualitative opinions from patients indicate that the Guide was a useful supplement. In addition, feedback from renal care staff suggested that the Guide served as a framework for communicating the transition process with patients, and was perceived as a useful tool. Future work is required to standardize the Guide’s utilization. Trial registration: As this is a quality improvement evaluation study, trial registration is not applicable.
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 | 0,123 | 0,169 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,004 | 0,005 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,003 | 0,006 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».