首页/数据集/Common models of chronic disease self‑management support

Common models of chronic disease self‑management support

Name: Common models of chronic disease self‑management support
Creator: Deakin University
Published: 2024-12-14T14:51:38+08:00

Research Data Australia2024-12-14 收录

慢性病管理

自我支持模型

数据链接：

https://researchdata.edu.au/common-models-chronic-selfmanagement-support/2968906 数据链接链接失效反馈

官方服务：

资源简介：

Common models of chronic disease self‑management support

慢性病自我管理支持的常见模式

应用场景：

提供机构：

Deakin University

远程医疗

慢性病管理

ABSTRACT OBJECTIVE Mapping the role of telemedicine in the health access of patients with chronic diseases in continuous care actions (except for covid-19) during the pandemic. METHODS This is a scopi

DataCite Commons2023-05-27 更新30

Adherence to hypertension medication: Quantitative and qualitative investigations in a rural Northern Vietnamese community

高血压药物依从性

慢性病管理

Objectives The purposes of this study were to assess the adherence to medication of hypertensive patients visiting community health stations in a rural area in Vietnam, to examine the relationship bet

NIAID Data Ecosystem10

ICDM Model Costs

慢性病管理

医疗成本评估

Costs of implementing the ICDM model in four clinics in South Africa

Figshare2020-03-15 更新00

Industry workers with hypertension and diabetes mellitus, the prevalence of self-reported adherence, and disease control

慢性病管理

健康流行病学

Abstract To evaluate the prevalence of self-reported drug adherence and factors associated, as well as clinical health outcomes, for industry workers with hypertension (HTN) and diabetes mellitus (DM)

NIAID Data Ecosystem10

Data Sheet 1_Exercise-induced adaptations in the kynurenine pathway: implications for health and disease management.docx

运动代谢

慢性病管理

BackgroundTryptophan (TRP) metabolism through the kynurenine (KYN) pathway is influenced by inflammatory mediators, generating metabolites that regulate immune and inflammatory responses. Exercise has

NIAID Data Ecosystem00

Common models of chronic disease self‑management support

资源简介：

相关数据集