Gateway to Think Tanks
来源类型 | Report |
规范类型 | 报告 |
DOI | https://doi.org/10.7249/RR2934 |
来源ID | RR-2934-ASPEC |
Evaluation of Technology-Enabled Collaborative Learning and Capacity Building Models: Materials for a Report to Congress | |
Shira H. Fischer; Adam J. Rose; Ryan K. McBain; Laura J. Faherty; Jessica L. Sousa; Monique Martineau | |
发表日期 | 2019-03-06 |
出版年 | 2019 |
页码 | 202 |
语种 | 英语 |
结论 | Empirical evidence for the effects of ECHO and ECHO-like models (EELM) on patient and provider outcomes remains modest
|
摘要 | Across the United States and internationally, multiple health care sites have embraced technology-enabled collaborative learning and capacity-building models. Such models use technology to connect generalist providers, often located in remote areas, with specialist teams that help train these providers to deliver care for patients with conditions that they might not feel adequately prepared to handle but are nevertheless within their scope of practice. The first implementation of this model, Project ECHO (Extension for Community Healthcare Outcomes), launched in 2003 in New Mexico. Project ECHO began with a focus on supporting the management of patients with hepatitis C virus (HCV) in rural regions of the state. This model has since been adapted to many different sites within the United States and other countries, and these models now address a wide range of medical conditions and other issues that providers face. This report documents what is known about ECHO and ECHO-like models (EELM). Generally speaking, the quality of evidence for the effectiveness of EELM could use improvement, but EELM mostly show positive effects in the small but growing body of research of EELM, which thus far measures more provider outcomes than patient outcomes. |
目录 |
|
主题 | Community-Based Health Care ; Cost-Effectiveness in Health Care ; Evidence Based Health Practice ; Health Care Access ; Health Care Quality Measurement ; Health Care Services Capacity ; Telemedicine |
URL | https://www.rand.org/pubs/research_reports/RR2934.html |
来源智库 | RAND Corporation (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/523752 |
推荐引用方式 GB/T 7714 | Shira H. Fischer,Adam J. Rose,Ryan K. McBain,et al. Evaluation of Technology-Enabled Collaborative Learning and Capacity Building Models: Materials for a Report to Congress. 2019. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
RAND_RR2934.pdf(5284KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
1608307072844.jpg(4KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | ![]() 浏览 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。