Situation of Integrated Eldercare Services with Medical Care in China
Notice bibliographique
Résumé
There are clinics around nursing homes in foreign countries or family doctors for every elderly. When a disease occurs, doctors can provide door to door service to help patients. Since the epidemic of coronavirus disease 2019, the elderly have been a high risk group of people infected with coronavirus disease 2019. In both the United States and Canada, the first recorded coronavirus disease 2019 deaths and outbreaks occurred in nursing homes with case fatality rates in these settings reported to be as high as 33.7 %. Due to the lack of adequate medical facilities and adequate medical staff to provide services, the elderly are more likely to be infected with the virus as a result of social interaction. All these show that foreign models can no longer meet the medical needs of the elderly. Therefore, we should take a different perspective and combine pension services with medical care. At present, China is exploring the mode of combination of medical and nursing services. In this study, we investigated the current situation of integrated medical and nursing services in China, exploring the transformation of primary medical institutions into medical and nursing service providers. The integrated eldercare services with medical care is that we make use of the existing medical resources to provide care services, which can meet the health needs of the elderly and reduce the infection rate of the elderly. Using a self-administered or interview questionnaire survey, we conducted t-test and one-way analysis of variance. It was found that the elderly are most satisfied with the geographical location (90.84 %) and medical services (90.82 %), and the most dissatisfied with consultation (87.66 %) and institutional fees (87.23 %). The elderly with the older age, the higher the monthly income of more than 3000 yuan, marriage and chronic diseases, are highly satisfied with their community health service institutions (p<0.05). Through one-way analysis of variance, there were significant differences in medical and health service demand among the groups with different monthly income (f=5.289 and 5.312, p<0.05), different occupation (f=5.574 and 2.325, p<0.05), and different ideal mode of providing for the aged (f=5.237, p=0.002<0.05). By independent sample t test, it was found that there were significant differences in basic medical service demand and health guidance service demand between people with chronic diseases and those without chronic diseases (p<0.05), and those who were willing and unwilling to use information technology for disease management (p<0.05). Through regression analysis, we can see that age (t=4.411, p<0.05) and income (t=2.061, p<0.05) have significant influence on basic medical service among the three variables of age, education and monthly income, and the coefficient is positive. Age (t=2.508, p<0.05) and income (t=3.143, p<0.05) had significant influence on rehabilitation guidance service, and the coefficient was positive. In summary, age, income, occupation, whether suffering from chronic diseases, whether they are willing to use information technology to detect and manage diseases and other factors, all affect the demand of the elderly for basic medical services and rehabilitation guidance services in medical service institutions. Through the research on the current situation of the integrated medical and nursing services in China, this study enriches the relevant evidence of the integrated medical and nursing services, and has a certain reference value for the relevant management departments to formulate policiesis.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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 ».