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Enregistrement W4212904242 · doi:10.1200/jco.2022.40.6_suppl.324

Prospective assessment of a smartphone-app based mindfulness program for patients with metastatic renal cell carcinoma (mRCC).

2022· article· en· W4212904242 sur OpenAlex

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Notice bibliographique

RevueJournal of Clinical Oncology · 2022
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSocial and Behavioral Studies
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésMedicineMindfulnessBreast cancerQuality of life (healthcare)Survivorship curvemHealthPhysical therapyCancerCoping (psychology)AnxietyDistressMeditationInternal medicinePsychological interventionClinical psychologyPsychiatryNursing

Résumé

récupéré en direct d'OpenAlex

324 Background: mRCC is associated with high rates of distress, high levels of symptom burden, and broad impairments in quality of life. In the setting of localized breast cancer, a smartphone application directed at enhancing mindfulness has been developed from a Mindfulness-Based Cancer Recovery program demonstrated to mitigate these factors (Utkarsh et al. Digital Health 2021); we sought to determine if the benefit of a similar application could be translated to patients with mRCC. Methods: Patients were recruited across two sites in the US and Brazil, and were eligible for the study if they had been diagnosed with mRCC, were receiving immunotherapy, reported clinically-relevant anxiety, had a smart phone with internet access, were currently not engaging in meditation, and had not participated in a mindfulness program in the past 5 years. Patients were asked to participate in mindfulness app-based activities for 20-30 minutes each day guided by the Mindfulness-Based Cancer Survivorship Journey program within AM Mindfulness smartphone app (AmDTx™), for a minimum of 4 days per week, over a period of 4 weeks. The application leads the patient through exercises in guided meditation and suggestions for cancer/cancer symptom coping. Patients were assessed at baseline and 2-weeks after using the 4-week smartphone-app based intervention using the Fear of Cancer Recurrence-7 and Functional Assessment of Chronic Illness Therapy-General scales. Reported data is evaluated using paired t-tests with a p-value of < 0.05 considered significant. Results: A total of 23 patients have been recruited to date. Median age was 59 years old; most were male (52%), white/Caucasian (52%), married (69%) and college educated (82%), and primarily receiving treatment with nivolumab (34%) or nivolumab/ipilimumab (30%). The majority of patients (78%) expressed satisfaction and engaged with the intervention; however, a minority (13%) noted that the intervention reminded them of their cancer diagnosis, which was seen as a negative aspect. Preliminary analyses of data after two weeks of the intervention have demonstrated a statistically significant decreases in fear of cancer progression (mean differences: baseline = 22; week 2 = 18, p = 0.012) and increases in quality of life (mean differences: baseline = 77; week 2 = 85, p = 0.001) over time. Physical and emotional well-being also showed significant improvement over time. Complete data with 12 weeks of follow-up will be presented at the meeting. Conclusions: This is the first study to implement an evidence-based, smartphone-accessible psychosocial support tool among mRCC patients. After only two weeks, we noted significant improvements in the fear of cancer progression and quality of life. This preliminary data suggests that this type of low-cost, mobile-app based intervention was acceptable to patients and may be effective at addressing psychosocial distress

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,132
Score d'incertitude au seuil0,514

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,117
Tête enseignante GPT0,489
Écart entre enseignants0,372 · 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