An App-Based Remote Patient Monitoring System With Wrist and In-Ear Wearables in Gastrointestinal Oncology: Prospective Feasibility Pilot Study
Notice bibliographique
Résumé
Background: Outpatient treatments, including targeted therapies, in oncology are on the rise. The implementation of remote patient monitoring (RPM) between therapy sessions has the potential to enhance patient care and therapy outcomes in the future. Objective: This pilot study assessed the feasibility of a new, app-based RPM system (bwHealthApp) by capturing patient-reported outcomes (PROs) and vital parameters using a wrist- or in-ear wearable. The study examined adherence, acceptance, and satisfaction, as well as the differences between the two types of wearables. Methods: Outpatients with gastrointestinal cancer receiving systemic therapies were invited to use and evaluate the bwHealthApp system for 1 month. The system was set up as an Android smartphone app to assess electronic PROs (ePROs) and connect to wearables for continuous vital sign measurements. A wrist wearable (Beurer AS99) that measured activity and heart rate or an in-ear wearable (Cosinuss Two) that measured heart rate, oxygen saturation, and temperature was used. The data were synchronized remotely to a web client. Outpatients were randomly assigned to the wrist wearable (n=17) or in-ear wearable (n=14) group. At the beginning, middle, and end of the study, patients (N=31) completed questionnaires on various feasibility aspects. Adherence to ePRO completion; wearable use, acceptance, and satisfaction; wearable data quantity and quality; and differences between the wearables were evaluated. Results: The mean adherence to bwHealthApp including dropouts was 46% (449/971 days) for ePRO completion and 61% (593/971 days) for wearable use. The system was most frequently used during everyday activities. More than half of the participants were satisfied with bwHealthApp (18/30, 60%) and could imagine continued use (21/30, 70%). Notably, 70% (21/30) rated the system as easy to use. Participants recorded more than 20 million wearable measures; however, 29% (SD 22%, range 3%-76%) of temperature values and 33% (SD 25%, range 10%-92%) of oxygen saturation values were outside the physiological range. For heart rate, the mean proportion of excluded values was 10% (SD 11%, range 4%-48%; in-ear) and 11% (SD 8%, range 4%-33%; wrist). The frequency of use of the two wearables did not differ significantly (t29=1.81; P=.08). The wrist wearable scored significantly better than the in-ear wearable regarding wearing comfort (t28=-11.17; P=.03). Conclusions: This bwHealthApp pilot study demonstrates the feasibility of RPM via a mobile app and wearable devices during outpatient systemic cancer therapy, including targeted therapies. The adherence level was moderate, and patients were generally satisfied with the system, although the wrist wearable received a higher rating. The system's functionality may be enhanced through the integration of additional wearables. This pilot study serves as a foundational framework for long-term assessments examining RPM and clinical data to improve cancer treatments.
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 | 0,006 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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.
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 ».