Evaluating the experience of rural individuals with prostate and breast cancer participating in research via telehealth
Notice bibliographique
Résumé
INTRODUCTION: Studies that use objective assessments often only recruit individuals in the geographic region in which the study is being conducted, because the assessments require that the researcher and participant be face to face. This limits the number and variety of individuals who can participate. Telehealth is one approach that could be used to increase sample size and representativeness. The present analysis aims to evaluate the experience of individuals diagnosed with breast or prostate cancer, who participated by telehealth in studies investigating the effects of cancer treatment on sleep and cognition. Specifically, this study aimed to highlight potential benefits of using telehealth and identify ways to improve the process for future studies and assessments. METHODS: Telephone interviews were conducted with 20 individuals with cancer who participated via telehealth in a larger study investigating the effects of cancer treatment on sleep and cognition; 12 individuals had breast cancer and 8 individuals had prostate cancer. Participants were organized into the four regional health authorities of Newfoundland and Labrador: Eastern, Western, Central, and Grenfell-Labrador. Participants of varying ages and communities were purposively selected. Participants were interviewed about their experience participating in the study via telehealth and invited to offer suggestions for how to improve the process. Interview transcripts were coded using a thematic analysis approach. Demographic information was used to characterize the sample. RESULTS: Including telehealth as an option in the overall study allowed for a 55% sample size increase for participants with breast cancer, and a 45% sample size increase for participants with prostate cancer. Participants reported an overall positive experience (70% reported the experience as good and/or great), with telehealth allowing for greater convenience, more personable interactions, increased access, and an otherwise unavailable opportunity to help others and themselves. Identified areas for improvement were sound quality, and better access for those who still face barriers of commuting to telehealth locations. Inter-rater reliability yielded a 92% agreement. CONCLUSIONS: For studies and assessments requiring face-to-face contact, telehealth is clearly a feasible option for improving research representativeness and access for individuals residing in rural areas. Future research should make use of telehealth services, to give a voice to rural individuals who are too often left out.
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 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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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 ».