Telenursing and Telemonitoring During and Beyond the COVID-19 Pandemic
Notice bibliographique
Résumé
Background The presenter will be discussing home monitoring–based telenursing for people with chronic conditions. This technology has been implemented in home-care individuals with chronic obstructive pulmonary disease, type 2 diabetes, congestive heart failure, lung cancer, and amyotrophic lateral sclerosis, who are treated at home, including during the COVID-19 pandemic. The pandemic, which began in late 2019, has limited our everyday activities and opportunities to connect with people. Older adults with chronic conditions are most especially affected. While telenursing practice is not so familiar in the Japanese context, the Japan Academy of Home Care (2021) first defined telenursing as “information and communication technologies involving telecommunication provided by nurses.” Furthermore, we are providing seminars for the nurses and expanding their capacity on how to provide efficient telenursing support for people receiving home care. Objective This study aims to present effective telenursing practice examples, as well as the challenges surrounding the use of technology in care for older adults with chronic conditions during and beyond the COVID-19 pandemic. Methods A fully longitudinal mixed methods design was used to evaluate the physical and emotional fluctuations of people from qualitative and quantitative strands, and we integrated the results and meta-inferences. Results The patients showed a continuous change over time in terms of their physical and psychological status. Living with symptoms, the patients were constantly reminded of the reality of their disease and the activity limitations the pandemic brought. At times, they were able to find hope for the future by actively controlling and managing their disease, maintaining their health and physical function, and realizing that they could live a normal life. On the other hand, they experienced a loss of activity, a decline in physical function, and anxiety about the future, brought about by the pandemic. Thus, people who receive telenursing are on a dynamic disease trajectory that vacillates between hope and despair, and telenursing can help them. Conclusions Performing telemonitoring and telerehabilitation of older adults throughout the pandemic, as well as adapting to their physical and emotional fluctuations, will improve their quality of life. Conflicts of Interest None declared.
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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 | 0,000 | 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 | 0,001 | 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 ».