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

Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

3.0K
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...
3.0K
Dimensions of Health and Illness01:21

Dimensions of Health and Illness

11.8K
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.
11.8K
Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

3.6K
Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
3.6K
Concepts of Health and Illness01:29

Concepts of Health and Illness

19.0K
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...
19.0K
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

2.2K
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...
2.2K
Levels of Health Promotion and Illness Prevention01:26

Levels of Health Promotion and Illness Prevention

15.4K
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...
15.4K

You might also read

Related Articles

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

Sort by
Same author

Artificial Intelligence for Language Access in Surgical Care: Patient Preferences and an Implementation Framework.

NEJM catalyst innovations in care delivery·2026
Same author

The Big Mo: staying on the wave in an age of artificial intelligence.

Journal of the American Medical Informatics Association : JAMIA·2026
Same author

Multilingual Evaluation of a Large Language Model-Based Primary Care Chatbot.

medRxiv : the preprint server for health sciences·2026
Same author

Developing an expanded version of My Diabetes Care in English and Spanish: A design and formative usability study.

Digital health·2026
Same author

Beyond translation: a patient-centered research agenda for artificial intelligence interpreter services in healthcare.

NPJ digital medicine·2026
Same author

Pilot study of a patient portal intervention designed to empower patients to address diabetes care gaps.

Digital health·2026

Related Experiment Video

Updated: Mar 8, 2026

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

3.5K

mHealth Intervention Elements and User Characteristics Determine Utility: A Mixed-Methods Analysis.

Lyndsay A Nelson1,2, Shelagh A Mulvaney3,4,5, Kevin B Johnson4,5

  • 11 Department of Medicine, Vanderbilt University Medical Center , Nashville, Tennessee.

Diabetes Technology & Therapeutics
|January 19, 2017
PubMed
Summary

Mobile health interventions like MED improve medication adherence for type 2 diabetes. Users found text messages more valuable than IVR calls, especially younger patients and those newly diagnosed.

Keywords:
InterventionMedication adherenceMobile healthQualitative researchType 2 diabetes mellitus

More Related Videos

The Dyspepsia Educational Tool As a Novel Aid in Dyspepsia Management
06:40

The Dyspepsia Educational Tool As a Novel Aid in Dyspepsia Management

Published on: June 29, 2019

7.1K
Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

5.4K

Related Experiment Videos

Last Updated: Mar 8, 2026

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

3.5K
The Dyspepsia Educational Tool As a Novel Aid in Dyspepsia Management
06:40

The Dyspepsia Educational Tool As a Novel Aid in Dyspepsia Management

Published on: June 29, 2019

7.1K
Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

5.4K

Area of Science:

  • Digital health interventions
  • Diabetes management
  • Patient adherence

Background:

  • Mobile health (mHealth) interventions show promise in improving medication adherence for adults with type 2 diabetes mellitus (T2DM).
  • Limited research exists on user experiences with these mHealth interventions.
  • Understanding user perspectives is crucial for developing effective and engaging digital health tools.

Purpose of the Study:

  • To explore the user experience of the MEssaging for Diabetes (MED) intervention.
  • To identify factors influencing user satisfaction with a text messaging and interactive voice response (IVR) based medication adherence program for T2DM.

Main Methods:

  • A mixed-methods approach was employed in a 3-month pilot study.
  • Participants received daily tailored text messages and weekly IVR calls.
  • Sixty participants completed feedback interviews to assess their experience with the MED intervention.

Main Results:

  • Participants generally rated MED intervention elements favorably.
  • Key benefits included receiving new medication information, emotional support, and adherence reminders.
  • Younger participants and those with more recent T2DM diagnoses reported more positive experiences.
  • Text messages were generally valued more than IVR calls.

Conclusions:

  • User experience is vital for the success of mHealth interventions.
  • Feedback highlights the value of specific mHealth components and identifies target user groups.
  • Optimizing intervention utility and appeal requires understanding user preferences and experiences.