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Related Concept Videos

Criteria for Causality: Bradford Hill Criteria - II01:28

Criteria for Causality: Bradford Hill Criteria - II

The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin create...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...

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Related Experiment Video

Updated: Jul 13, 2026

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
16:02

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

Published on: February 10, 2023

[Concept analysis of susceptibility].

Mei-Chuan Chang1

  • 1Department of Nursing, Tzu Chi College of Technology, R.O.C. chuan@tccn.edu.tw

Hu Li Za Zhi the Journal of Nursing
|July 27, 2007
PubMed
Summary

This study defines susceptibility, identifying key characteristics like specific traits and a higher probability of experiencing harm from environmental exposure. Understanding susceptibility aids healthcare professionals in patient care.

Area of Science:

  • Nursing
  • Health Sciences
  • Conceptual Analysis

Context:

  • Susceptibility is a critical concept in healthcare, influencing patient outcomes.
  • Previous definitions lacked comprehensive analysis of its attributes, antecedents, and consequences.

Purpose:

  • To conduct a conceptual analysis of susceptibility using the Walker & Avant (1995) framework.
  • To clarify the defining attributes, antecedents, and consequences of susceptibility.

Summary:

  • Susceptibility is characterized by specific personal traits and a heightened probability of negative outcomes when exposed to certain environments.
  • Antecedents involve exposure to specific environments, leading to increased harm but retaining some individual control.
  • Consequences include elevated risk of harm and negative outcomes, with a defined timeframe for changes.

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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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Social Threat-Safety Test Uncovers Psychosocial Stress-Related Phenotypes
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Social Threat-Safety Test Uncovers Psychosocial Stress-Related Phenotypes

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Last Updated: Jul 13, 2026

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
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Published on: February 10, 2023

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Impact:

  • Provides a refined understanding of susceptibility for nursing professionals.
  • Enhances the precise application of susceptibility concepts in healthcare service delivery.
  • Supports evidence-based nursing practice by clarifying a fundamental health concept.