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Enregistrement W3175240247 · doi:10.1089/jpm.2021.0161

Feasibility and Acceptability of a Yogic Breathing/Mindfulness Meditation e-Intervention on Symptoms and COVID-19–Associated Anxiety in Patients Receiving Dialysis

2021· article· en· W3175240247 sur OpenAlexaboutno aff
Jordan A. Carver, Katharine L. Cheung

Notice bibliographique

RevueJournal of Palliative Medicine · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueDialysis and Renal Disease Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineIntervention (counseling)AnxietyDialysisNephrologyMeditationInternal medicineMindfulnessFamily medicineCoronavirus disease 2019 (COVID-19)GerontologyDiseasePsychiatryClinical psychology

Résumé

récupéré en direct d'OpenAlex

Journal of Palliative MedicineVol. 24, No. 8 Letters to the EditorFree AccessFeasibility and Acceptability of a Yogic Breathing/Mindfulness Meditation e-Intervention on Symptoms and COVID-19–Associated Anxiety in Patients Receiving DialysisJordan A. Carver and Katharine L. CheungJordan A. CarverAddress correspondence to: Jordan A. Carver, BS, Department of Nephrology, The Robert Larner, MD, College of Medicine at the University of Vermont, Given Box No. 77, 89 Beaumont Avenue, Burlington, VT 05405, USA E-mail Address: [email protected]Department of Nephrology, The Robert Larner, MD College of Medicine at the University of Vermont, Burlington, Vermont, USA.*Both authors contributed equally to this study.Search for more papers by this author and Katharine L. CheungDepartment of Nephrology, The Robert Larner, MD College of Medicine at the University of Vermont, Burlington, Vermont, USA.*Both authors contributed equally to this study.Search for more papers by this authorPublished Online:16 Jul 2021https://doi.org/10.1089/jpm.2021.0161AboutSectionsPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookXLinked InRedditEmail Dear Editor:Kidney failure, or end-stage kidney disease (ESKD), is a life-altering condition, with a one-year mortality rate of 20%–25%,1 and the incidence is expected to rise 11%–18% by 2030, compared with 2015 levels.2 Patients with kidney failure experience a high burden of symptoms that are often unaddressed during their dialysis treatments.The COVID-19 pandemic has presented novel challenges in administering nonpharmacological pain and symptom management techniques while ensuring social distancing and avoiding unnecessary close contacts—this is especially true in hemodialysis units. Our research (1) assessed the acceptability and feasibility of a yogic breathing/mindfulness meditation intervention administered through a novel digital delivery system in patients receiving dialysis and (2) evaluated the impact on symptom burden after this intervention.Patients were recruited during their hemodialysis sessions and engaged in a 10-minute yogic breathing/mindfulness meditation recording delivered through an MP3 player. Participants completed an acceptability survey and the Edmonton Symptom Assessment System (ESAS-r Renal) questionnaire before and after their participation.Between June and August 2020, 17 patients enrolled in the study (mean age 67.8 years, 53% male, 33% with prior meditation/yoga experience), and 15 (88%) completed the study. In addition, 76.5% of participants reported that the intervention was acceptable, and two-thirds wished to continue the study longitudinally.Issues that diminished feasibility were related to an inability to hear the audio file adequately and difficulty in understanding the breathing instructions as delivered. In addition, two participants reported that they were interrupted by staff during their audio recording, which may have diminished the effectiveness of the intervention.Participants in this study reported a significant decline in overall symptom burden (from 24.66 to 17.73 points on the ESAS scale, p = 0.01), as well as improved thirst, well-being, and pain (Fig. 1). Seventy-seven percent of participants who reported experiencing elevated anxiety related to COVID-19 felt the intervention reduced their overall anxiety related to the pandemic.FIG. 1. Participant-reported ESAS symptom burden level, statistically significant symptom changes denoted with “*”, n = 15. Dry mouth/thirst is not officially on the ESAS symptom survey and was added as an additional assessment question in this study. Significance level of the mean total ESAS score, pre- versus post-intervention, is reported as p = 0.01. ESAS, Edmonton Symptom Assessment System.Although we did not expect symptom burden to improve after a single intervention, patients reported a significant reduction in symptom burden. The ESAS-r Renal correlates strongly with health-related quality of life, therefore, interventions that reduce symptoms deserve further investigation.3,4There are important limitations to consider in this pilot study. It is conceivable that symptom burden decreased for other reasons: the small sample size allows for a greater influence from random chance events. In addition, the patients could have been subject to response bias as the questionnaires were read allowed by the research personnel. Feasibility issues related to hearing devices and interruptions from staff could be addressed in a future study design; for example, by expanding the intervention to use at home before dialysis, utilizing over-the-ear noise-canceling headphones, and better education of dialysis staff to minimize nonessential interruptions.This pilot study demonstrates that even in restrictive circumstances such as the COVID-19 pandemic, patients can participate in an electronically delivered yogic breathing/mindfulness meditation intervention aimed at reducing symptom burden and improving quality of life.Funding InformationThis study was supported by the Robert Larner, MD College of Medicine Summer Research Fellowship Grant (2020) and the University of Vermont Medical Center Department of Nephrology (2020).References1. ESKD Statistics. UCSF: https://pharm.ucsf.edu/kidney/need/statistics (Last accessed April 30, 2020). Google Scholar2. McCullough KP, Morgenstern H, Saran R, et al.: Projecting ESRD incidence and prevalence in the United States through 2030. JASN 2019;30:127–135. Crossref, Medline, Google Scholar3. Feroze U, Martin D, Kalantar-Zadeh K, et al.: Anxiety and depression in maintenance dialysis patients: Preliminary data of a cross-sectional study and brief literature review. JRN 2012;1:207–210. Google Scholar4. Davison SN, Jhangri GS: Impact of pain and symptom burden on the health-related quality of life of hemodialysis patients. J Pain Symptom Manag 2010;39:477–485. Crossref, Medline, Google ScholarFiguresReferencesRelatedDetailsCited byExamining the Acceptability and Feasibility of the Compassionate Mindful Resilience (CMR) Programme in Adult Patients with Chronic Kidney Disease: The COSMIC Study Protocol25 July 2022 | Healthcare, Vol. 10, No. 8 Volume 24Issue 8Aug 2021 InformationCopyright 2021, Mary Ann Liebert, Inc., publishersTo cite this article:Jordan A. Carver and Katharine L. Cheung.Feasibility and Acceptability of a Yogic Breathing/Mindfulness Meditation e-Intervention on Symptoms and COVID-19–Associated Anxiety in Patients Receiving Dialysis.Journal of Palliative Medicine.Aug 2021.1124-1125.http://doi.org/10.1089/jpm.2021.0161Published in Volume: 24 Issue 8: July 16, 2021Online Ahead of Print:April 5, 2021PDF download

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,013
score de la tête « metaresearch » (Gemma)0,066
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil0,069

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0130,066
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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.

Tête enseignante Opus0,032
Tête enseignante GPT0,343
Écart entre enseignants0,311 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeEssai non randomisé
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2021
Routes d'admission1
Résumé présentoui

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