Serious Gaming for Chemotherapy-Induced Nausea and Vomiting in Older Adults With Cancer: Protocol for a Randomized Clinical Trial
Notice bibliographique
Résumé
Background Older adults are at high risk for toxicity due to cancer treatment and increased risk for adverse events related to chemotherapy-induced nausea and vomiting (CINV). Unfortunately, older adults report multiple treatment-related symptoms but use few strategies to self-manage these symptoms due to erroneous beliefs related to the effectiveness of commonly taught self-management strategies. We developed a novel serious game, Managing at Home (MAH), to help older adults learn how to effectively self-manage CINV at home. Objective This study has 2 aims. Aim 1 is to examine changes in CINV severity, self-management behaviors, functioning, quality of life, cognitive representation, and health care use within the intervention group from baseline (T1) to completion of the study (T6). Aim 2 is to determine the efficacy of the MAH intervention by comparing differences in primary outcomes (CINV severity and health care use) and secondary outcomes (self-management behaviors, functioning, and quality of life) between the intervention and control groups at each follow-up visit (T2-T6) and completion of the study (T6). Methods This is a longitudinal randomized clinical trial. We will collect data from 500 older adults receiving cancer-related chemotherapy at baseline (T1) and at each treatment cycle until cycle 6 (T6). Participants will be enrolled if they are 60 years or older of age, are newly diagnosed with cancer, being treated with any chemotherapy agent with moderate or high emetic potential, are on a 2-, 3-, or 4-week treatment cycle, are proficient in English, and have a telephone. Previous diagnosis or treatment for cancer, end-stage disease with less than 6 months to live, and uncorrected visual or hearing impairment are exclusion criteria. Results This study was funded in September 2022 and received institutional review board approval in October 2022. As of July 2023, the enrollment of participants is ongoing and currently has 130 enrolled participants. Data collection and analysis will be complete in 2027. Conclusions This study addresses self-management of CINV in older adults using an innovative serious game. The MAH intervention uses simulation and gaming technology to engage older adults in active learning in order to reframe erroneous perceptions about symptom self-management. If shown to be effective, it can easily be adapted to include other cancer-related symptoms or other chronic illnesses. Trial Registration ClinicalTrials.gov NCT05838638; https://clinicaltrials.gov/study/NCT05838638 International Registered Report Identifier (IRRID) DERR1-10.2196/64673
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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 | 0,011 | 0,001 |
| 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 | 0,001 |
| 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 ».