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相关概念视频

Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

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A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
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Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

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The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
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Infection01:20

Infection

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When a pathogen enters the body and reproduces, it can cause an infection, damage body cells, and cause illness symptoms that eventually lead to disease. Therefore, its prevention requires breaking the chain of infection.
The chain begins with pathogens: bacteria, viruses, fungi, prions, or parasites such as protozoa helminths. These can be present on the skin as transient or resident flora, or they can be acquired from the environment. Identifying and treating the type of infection and...
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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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Defense Against Bacterial Pathogens01:31

Defense Against Bacterial Pathogens

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The human immune system is a complex network of cells, tissues, and organs that work together to defend the body against bacterial infections. It consists of various immune cells, each playing a specific role in the defense mechanism.
Phagocytes
Phagocytes are the frontline soldiers of the immune system. They include neutrophils and macrophages. Neutrophils are the most abundant type of white blood cell and are quickly mobilized to the site of infection. Macrophages are larger cells that patrol...
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Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

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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...
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Author Spotlight: Understanding and Detecting Environmental Antimicrobial Resistance by Combining Culture-Based Techniques and Genomics
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开发一种逻辑模型,用于针对抗菌素耐药性 (AMR) 的基于通信的干预措施.

Jennika Virhia1, Emma Laurie2, Tiziana Lembo3

  • 1MRC/CSO School of Social & Public Health Sciences Unit/School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.

PLOS global public health
|June 13, 2024
PubMed
概括

开发一个结构化的逻辑模型对于有效的抗菌素耐药性 (AMR) 传播活动至关重要. 这种在坦桑尼亚共同设计的模型有助于规划,实施和评估AMR意识倡议,确保当地相关性和最大化影响.

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科学领域:

  • 公共卫生传播 公共卫生传播
  • 全球卫生安全 全球卫生安全
  • 行为科学 行为科学

背景情况:

  • 全球和国家行动计划强调传播抗菌素耐药性 (AMR) 意识.
  • 很少有国家反抗药物传播活动利用结构化方法,当地环境,共同设计或逻辑模型.

研究的目的:

  • 共同设计一种AMR传播活动的逻辑模型,以支持坦桑尼亚的国家行动计划 (NAP).
  • 创建一个可转移的工具来设计,实施和评估AMR通信干预措施.

主要方法:

  • 与坦桑尼亚的关键利益相关者共同设计SNAP-AMR逻辑模型.
  • 审查沟通和行为变化理论,以告知信息的发展.
  • 定义关键的逻辑模型组件:资源,活动,输出和结果.

主要成果:

  • 该SNAP-AMR逻辑模型系统地概述了竞选元素:输入,活动,输出 (遗留材料,工具包) 和结果 (社会认知,行为改变).
  • 该模型为计划和评估AMR通信干预提供了一个结构化的框架.

结论:

  • SNAP-AMR逻辑模型是利益相关者设计和实施有效的AMR沟通活动的有效工具.
  • 该模型有可能适应在具有相似社会文化,流行病学和经济背景的国家.