A feasibility study of a new smartphone application for patients with cancer.
Notice bibliographique
Résumé
211 Background: Smartphone-applications have been used for self-care, but not all applications have a sufficient level of efficacy. We evaluated the feasibility of a new smartphone application (the App) which has two main functions—diary function and SNS function—and investigated the characteristics of active users. Methods: Patients who visited the Breast and Medical Oncology or GI Medical Oncology divisions at National Cancer Center Hospital were recruited between March and April in 2016. Participants could use the App for 28 days. Web-based survey was performed before and 28 days after using the App. The primary endpoint was Daily Active User (DAU) rate (the number of daily log-in user divided by the number of patients who completed installation). A mean DAU rate higher than 20% was predetermined as feasible. The secondary endpoints were daily diary function user rate, daily SNS function user rate, and overall user rate and change of Edmonton Symptom Assessment System Revised Japanese version (ESAS-r-j) before and after the App use. “Active user” was defined as a participant who used the AppeWe more than median active days for diary or SNS function. Duration of App use was counted from the date of installation to the date of last use, and overall user rate was calculated by Kaplan Meier method. Results: One-hundred and four patients (96%) completed the App installation and answered the first survey. All patients were followed for 28 days. The mean DAU rate was 50.9%. Active diary function user rate was 53% and active SNS function user rate was 40%. Overall user rate was 87.5%. Diary function was used more frequently by male patients than female, and non-breast cancer patients. SNS function was used more frequently by unemployed patients than others, and by patients younger than 40 y/o. We could evaluate the change of ESAS-r-j score in 80 patients who answered the second survey. There was a significant improvement of depression score among patients who were single and who had metastatic disease. Conclusions: The App was considered feasible. Gender, cancer type, job status, and age may influence the behavior of the App use. The App may improve patients’ psychological symptoms, but further investigations are warranted to reveal the clinical utility of the App.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».