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Related Concept Videos

Classification of Illness01:17

Classification of Illness

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The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
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Factors Affecting Illness01:18

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When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
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Concepts of Health and Illness01:29

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Health is a condition of the body, mind, and spirit where an individual remains free from illness. Similarly, wellness is an active state, including living a lifestyle that promotes physical, mental, and emotional health. Physical health is critical for the overall well-being and can be affected by lifestyle, activity level, diet, and behavior. The highest attainable standard of health is a fundamental and universal human right. Consider Lisa, a fifteen-year-old born with congenital...
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Dimensions of Health and Illness01:21

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The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
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Critical Region, Critical Values and Significance Level01:16

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The critical region, critical value, and significance level are interdependent concepts crucial in hypothesis testing.
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in  probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...
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Predicting Reaction Outcomes02:24

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Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
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Related Experiment Video

Updated: Feb 5, 2026

Manual Muscle Testing: A Method of Measuring Extremity Muscle Strength Applied to Critically Ill Patients
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Measuring Outcomes After Critical Illness.

Nathan E Brummel1

  • 1Department of Medicine, Vanderbilt University Medical Center, Center for Quality Aging, Suite 350, 2525 West End Avenue, Nashville, TN 37203, USA.

Critical Care Clinics
|September 19, 2018
PubMed
Summary
This summary is machine-generated.

Outcomes after critical illness are complex and not fully understood. This review examines conceptual models to better define and understand patient outcomes, functional status, and post-illness impairments.

Keywords:
Critical illnessDisabilityFunctional statusSurvivorship

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Area of Science:

  • Critical illness research
  • Health outcomes research
  • Rehabilitation science

Background:

  • Understanding patient outcomes after critical illness is challenging.
  • Existing knowledge gaps hinder effective post-critical illness care.
  • Conceptual models can provide a structured approach to studying outcomes.

Purpose of the Study:

  • To review three conceptual models for understanding critical illness outcomes.
  • To define distinct but interrelated outcome domains.
  • To describe components of functional status and post-illness impairments.

Main Methods:

  • Literature review of conceptual models from various disciplines.
  • Analysis of models focusing on outcome domains.
  • Examination of functional status components and their relationship to disability.

Main Results:

  • Identified three key conceptual models applicable to critical illness outcomes.
  • Clarified distinct but interrelated outcome domains.
  • Described the relationship between illness/injury, impairments, and functional status.

Conclusions:

  • Conceptual models offer a valuable framework for studying critical illness outcomes.
  • A structured approach can enhance understanding of functional status and impairments.
  • Further research using these models can improve post-critical illness care.