Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Levels of Health Promotion and Illness Prevention01:26

Levels of Health Promotion and Illness Prevention

12.9K
Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
12.9K
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

1.7K
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...
1.7K
Dimensions of Health and Illness01:21

Dimensions of Health and Illness

7.7K
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.
7.7K
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.1K
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...
2.1K
Assessment of the Gastrointestinal System II: Health Perception Pattern01:29

Assessment of the Gastrointestinal System II: Health Perception Pattern

156
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
156
Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

3.5K
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:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
3.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Validation and Utility of the Refined Critical Thinking Self-Assessment Scale.

Journal of nursing measurement·2025
Same author

Combating Nurse Turnover: A Cost-Effective Mentorship Intervention.

The Journal of nursing administration·2025
Same author

Temporal Trends of Obesity Among Nebraska Adults: EMR Data Shows a More Rapid Increase Than Projected.

Journal of primary care & community health·2024
Same author

Refinement and Evaluation of the Critical Thinking Self-Assessment Scale.

Journal of nursing measurement·2024
Same author

Return on Investment: Explanation and a Case Study.

Nursing administration quarterly·2024
Same author

A clinical bulbar assessment scale (CBAS) for amyotrophic lateral sclerosis.

Muscle & nerve·2022

Related Experiment Video

Updated: Aug 25, 2025

Oral Health Assessment by Lay Personnel for Older Adults
08:47

Oral Health Assessment by Lay Personnel for Older Adults

Published on: February 2, 2020

12.9K

Innovative Use of the Health Status Questionnaire-12 for Individual and Population Health.

Teresa Barry Hultquist, Katherine Laux Kaiser, Jenenne A Geske

    Journal of Health Care for the Poor and Underserved
    |October 17, 2022
    PubMed
    Summary

    Self-reported health (SRH) percentile ranks offer interpretable data for public health. This study standardized HSQ-12 scores, comparing different women

    More Related Videos

    An Application for Pairing with Wearable Devices to Monitor Personal Health Status
    06:58

    An Application for Pairing with Wearable Devices to Monitor Personal Health Status

    Published on: February 3, 2022

    2.9K
    The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
    06:05

    The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

    Published on: February 19, 2021

    1.3K

    Related Experiment Videos

    Last Updated: Aug 25, 2025

    Oral Health Assessment by Lay Personnel for Older Adults
    08:47

    Oral Health Assessment by Lay Personnel for Older Adults

    Published on: February 2, 2020

    12.9K
    An Application for Pairing with Wearable Devices to Monitor Personal Health Status
    06:58

    An Application for Pairing with Wearable Devices to Monitor Personal Health Status

    Published on: February 3, 2022

    2.9K
    The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
    06:05

    The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

    Published on: February 19, 2021

    1.3K

    Area of Science:

    • Public Health
    • Health Services Research
    • Biostatistics

    Background:

    • Self-reported health (SRH) is a crucial indicator of health status.
    • Standardized and interpretable measures of SRH are needed for effective public health and clinical applications.
    • The Health Status Questionnaire-12 Version 2.0 (HSQ-12) is a validated multi-item measure of SRH.

    Purpose of the Study:

    • To demonstrate the utility of self-reported health (SRH) percentile ranks for enhanced data interpretability in public health and clinical practice.
    • To standardize scores from the Health Status Questionnaire-12 Version 2.0 (HSQ-12) for improved analysis.

    Main Methods:

    • Secondary analysis of the HSQ-12, a measure of SRH including Total Health Status Scale (THSS), Physical Health Status Scale (PHSS), and Mental Health Status Scale (MHSS).
    • Standardization of HSQ-12 scores using a normed sample (n=7,110) of adult Medicaid participants (19+).
    • Comparison of population cohorts, including midlife women (n=417) and pregnant women (n=1,888), against normed percentile ranks.

    Main Results:

    • Normed percentile data for the HSQ-12 were calculated using the Medicaid sample.
    • Significant differences in percentile rank scores were observed when comparing midlife and pregnant women cohorts to the normed percentile ranks.
    • The results highlight variations in SRH across different demographic groups.

    Conclusions:

    • The use of SRH percentile ranks provides a more interpretable approach to health data.
    • This strategy has the potential to inform health policies and clinical decisions.
    • Implementation may lead to improved health outcomes and reduced healthcare costs.