在埃塞俄比亚的290个公共卫生设施中拯救小生命的最低护理套餐干预措施:非随机阶级集群实施试验的协议
Abiy Seifu Estifanos1,2, Abebe Gebremaraim Gobezayehu3, Mekdes Shifeta Argaw4
1Center for Implementation Sciences (CIS) in Health, School of Public Health, Addis Ababa University, Addis Ababa P.O. Box 1176, Ethiopia.
拯救小生命计划旨在通过扩大干预措施的最低护理包 (MCP) 来减少埃塞俄比亚的新生儿死亡率. 这项研究评估了其对婴儿存活率的影响,重点关注早产和低出生体重婴儿.
科学领域:
- 公共卫生 公共卫生
- 新生儿医学 新生儿医学
- 卫生系统研究 卫生系统研究
背景情况:
- 新生儿死亡率是埃塞俄比亚的主要公共卫生问题.
- 尽管有证据表明其有效性,但对基本的新生儿干预措施的覆盖率仍然很低.
- 拯救小生命 (SLL) 计划的目标是扩大新生儿,特别是早产和低出生体重婴儿的最低护理套餐 (MCP).
研究的目的:
- 评估SLL最低护理套餐 (MCP) 干预措施对埃塞俄比亚医院新生儿死亡率的影响.
- 评估新生儿救命干预措施的覆盖范围和使用情况.
- 确定实施MCP干预措施的障碍和推动因素.
主要方法:
- 一个非随机的阶梯试验设计将在36家初级医院使用.
- 通过采访和使用开放数据套件 (ODK) 的医疗记录进行定量数据收集.
- 混合方法方法包括形成性评估,设施评估和定性访谈;使用回归建模,GEE和主题分析分析的数据.
主要成果:
- 假设新生儿死亡率减少35%,MCP覆盖率为80%.
- 数据收集正在进行中;分析将确定实际影响和覆盖率.
- 定性数据将有助于了解实施促进者和障碍.
结论:
- 埃塞俄比亚SLL计划的MCP有潜力显著降低埃塞俄比亚的新生儿死亡率.
- 成功扩展需要解决已识别的障碍,并利用推动者.
- 调查结果将为改善新生儿生存率的国家战略提供信息.
更多相关视频
04:53A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
Published on: September 20, 2019
09:33Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
Published on: December 23, 2022
相关概念视频
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Randomized Experiments
Simple randomization
Simple...
Community Based Intervention
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
Methods Of Healthcare Delivery System
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
Cluster Sampling Method
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs
