相关实验视频
Updated: Feb 20, 2026

12:44
Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
8.7K
什么时候以及如何基于网格的信息管理用于VTE预防:从混合方法研究中的边界条件和配置途径
Chunyan Wang1, Haiyan Li2, Shiyuan Chen1
1Department of Vascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, People's Republic of China.
Journal of multidisciplinary healthcare
|February 19, 2026
概括
基于网格的信息管理通过提高风险评估和干预率,显著改善了静脉血栓塞栓症 (VTE) 的预防. 它的有效性取决于护士的VTE知识和部门间的合作,揭示了高预防结果的多种途径.
科学领域:
- 医疗保健管理的管理
- 患者安全 患者安全
- 医学中的信息系统.
背景情况:
- 静脉血栓塞栓症 (VTE) 是入院患者可预防损害的主要原因.
- 基于网格的信息管理系统显示出对VTE预防的希望,但最佳实施条件尚未完全理解.
研究的目的:
- 分析基于网格的信息管理如何影响VTE预防的有效性.
- 为了确定调节这种影响的边界条件.
- 探索不同的途径,以获得成功的VTE预防结果.
主要方法:
- 一项混合方法研究,涉及119名住院患者 (58名对照患者,61名干预患者).
- 利用约翰逊-尼曼 (J-N) 技术来评估护士知识和协作的缓和效应.
- 采用模糊集定性比较分析 (fsQCA) 来确定通往高预防结果的途径.
主要成果:
- 干预组的VTE风险评估 (86.9%对63.8%) 和预防实施率 (90.2%对58.6%) 显著较高,VTE发病率较低 (3.3%对8.6%).
- 护士VTE知识 (≥42分) 和部门合作 (≥3.4分) 是关键的调节因素.
- 确定了高水平的VTE预防的三个途径:技术驱动,协作驱动和全面支持.
结论:
- 基于网格的信息管理增强了VTE预防,其有效性由护士的知识和协作调节.
- 为了实现高水平的VTE预防,存在多种等效途径,支持定制的实施策略.
关键词:
约翰逊尼曼的技术.这就是为什么FSQCACA.模糊集定性比较分析 模糊集定性比较分析基于网格的信息管理信息管理.混合方法研究研究的研究方法.静脉血栓塞栓症是一种静脉血栓塞栓.在VTE VTE中使用更多相关视频
相关概念视频
Principles of Disease Surveillance
609
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...
609
Study Designs in Epidemiology
1.1K
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
1.1K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
338
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
338
Healthcare Associated Infections II: Preventive Measures
4.4K
Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
4.4K
Levels of Use of a GIS
403
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
403
Statistical Methods for Analyzing Epidemiological Data
1.0K
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:
1.0K

