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Related Concept Videos

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

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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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Concepts of Health and Illness01:29

Concepts of Health and Illness

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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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Methods of Documentation VI: Case Management Model01:15

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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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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.
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Methods Of Healthcare Delivery System01:26

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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:
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Related Experiment Video

Updated: Mar 29, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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A Logic Model for Understanding and Reducing Preventable Hospitalizations.

Shayla Minteer1, Theodore Long2, Sarah Harrigan3

  • 1State of Rhode Island Department of Health, Providence, RI; The Warren Alpert Medical School of Brown University, Providence, RI.

Rhode Island Medical Journal (2013)
|December 2, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a logic model to understand factors causing preventable hospitalizations (PH). The model aims to guide interventions for reducing PH and healthcare costs.

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Area of Science:

  • Public Health
  • Health Services Research
  • Healthcare Management

Background:

  • Preventable hospitalizations (PH) significantly impact health outcomes and healthcare costs.
  • Limited research exists on the multifaceted factors contributing to PH.
  • Addressing PH is crucial for healthcare system efficiency and patient well-being.

Purpose of the Study:

  • To develop an evidence-based logic model identifying individual, environmental, and systemic factors associated with PH.
  • To provide a framework for designing targeted public health interventions aimed at reducing PH.
  • To foster broader discussion and research on solutions for preventing unnecessary hospitalizations.

Main Methods:

  • Development of a logic model integrating diverse factors influencing PH.
  • Focus on individual, environmental, and systemic determinants.
  • Application within the context of the State of Rhode Island.

Main Results:

  • The proposed logic model offers a structured approach to understanding PH.
  • Identifies key areas for intervention development.
  • Establishes a foundation for future research and policy initiatives.

Conclusions:

  • A comprehensive logic model is essential for addressing preventable hospitalizations.
  • Interventions targeting identified factors can improve health outcomes and reduce costs.
  • Further research and industry-wide collaboration are needed to implement effective solutions.