关于疫苗接种服务效率及其影响因素的数据包裹分析在北京,中国
Mingzheng Hu1,2, Yanshang Wang1,2, Ming Wang1,2
1School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China.
BMC health services research
|July 8, 2023
概括
北京的疫苗接种服务效率差异很大. 优化投入因素和考虑人口密度和经济发展等社会环境,可以改善公共卫生疫苗接种.
科学领域:
- 公共卫生 公共卫生
- 医疗保健服务研究 医疗服务研究
- 计量经济学 计量经济学
背景情况:
- 疫苗接种是公共卫生服务的基石.
- 评估和提高疫苗接种效率对于最佳的资源配置和人口健康结果至关重要.
研究的目的:
- 评估北京不同疫苗接种点 (POV) 疫苗接种服务的效率.
- 确定影响疫苗接种服务效率的关键因素.
主要方法:
- 数据包围分析 (DEA) 模型用于计算疫苗接种效率得分.
- DEA场景模拟以确定输入因素对效率的影响.
- 托比特回归模型用于分析社会经济因素对效率的影响.
主要成果:
- 在北京的POV中观察到疫苗接种效率得分的显著差异.
- 服务人口,地区GDP和财务配置与效率正相关.
- 一个地区的总依赖率与效率有负相关性.
结论:
- 疫苗接种服务的效率在各个疫苗接种点不同.
- 投入因素的战略调整,优先考虑那些影响较大的因素,可以提高效率.
- 疫苗接种资源的分配应考虑社会经济背景,以经济限制和高人口需求的地区为目标.
更多相关视频
09:37Detection of Polyfunctional T Cells in Children Vaccinated with Japanese Encephalitis Vaccine via the Flow Cytometry Technique
Published on: September 23, 2022
2.0K
06:26Author Spotlight: Optimizing CFU Determination for Efficient Assessment of TB Vaccine Efficacy and Antigen Presentation Analysis
Published on: July 28, 2023
2.3K
相关概念视频
Vaccinations
44.8K
Overview
44.8K
Methods Of Healthcare Delivery System
3.3K
At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
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...
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...
3.3K
Statistical Methods for Analyzing Epidemiological Data
425
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
425
Principles of Disease Surveillance
127
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
127
Steps in Outbreak Investigation
154
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
154
Bias in Epidemiological Studies
369
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
369
