Dialysis Patient Experiences During the COVID-19 Pandemic: A Survey Study
Notice bibliographique
Résumé
Rationale & Objective: The coronavirus disease 2019 (COVID-19) pandemic imposed several changes in the care of patients with kidney failure receiving dialysis. We explored patient care experiences during the pandemic. Study Design: The study team verbally administered surveys including Likert scale multiple-choice questions and open-ended questions and recorded responses. Setting & Participants: Surveys were administered to adults receiving dialysis through an academic nephrology practice after the first wave of the COVID-19 pandemic. Exposure: Outpatient dialysis treatment during the COVID-19 pandemic. Outcomes: Perceptions of care and changes in health. Analytical Approach: Multiple-choice responses were quantified using descriptive statistics. Thematic analysis was used to code open-ended responses and derive themes surrounding patient experiences. Results: A total of 172 patients receiving dialysis were surveyed. Most patients reported feeling "very connected" to the care teams. Seventeen percent of participants reported transportation issues, 6% reported difficulty obtaining medications, and 9% reported difficulty getting groceries. Four themes emerged as influencing patient experiences during the pandemic: 1) the COVID-19 pandemic did not significantly affect participants' experience of dialysis care; 2) the COVID-19 pandemic significantly impacted other aspects of participants' lives, which in turn were felt to affect mental and physical health; 3) regarding dialysis care experience more generally, participants valued consistency, dependability, and personal connection to staff; and 4) the COVID-19 pandemic highlighted the importance of external social support. Limitations: Surveys were administered early in the COVID-19 pandemic, and patient perspectives have not been reassessed. Further qualitative analysis using semi-structured interviews was not performed. Survey distribution in additional practice settings, using validated questionnaires, would increase generalizability of the study. The study was not powered for statistical analysis. Conclusions: Early in the COVID-19 pandemic, perceptions of dialysis care were unchanged for most patients. Other aspects of participants' lives were impacted, which affected their health. Subpopulations of patients receiving dialysis may be more vulnerable during the pandemic: those with histories of mental health conditions, non-White patients, and patients treated by in-center hemodialysis. Plain-language summary: Patients with kidney failure continue to receive life-sustaining dialysis treatments during the coronavirus disease 2019 (COVID-19) pandemic. We sought to understand perceived changes in care and mental health during this challenging time. We administered surveys to patients receiving dialysis after the initial wave of COVID-19, asking questions on topics including access to care, ability to reach care teams, and depression. Most participants did not feel that their dialysis care experiences had changed, but some reported difficulties in other aspects of living such as nutrition and social interactions. Participants highlighted the importance of consistent dialysis care teams and the availability of external support. We found that patients who are treated with in-center hemodialysis, are non-White, or have mental health conditions may have been more vulnerable during the pandemic.
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 | 0,005 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,003 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».