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

Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

3.8K
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...
3.8K
Primary Healthcare Services01:30

Primary Healthcare Services

1.8K
Primary care promotes wellness and prevents disease. This care includes health promotion, education, protection (such as immunizations), early disease screening, and environmental considerations. Settings providing this type of healthcare include physician offices, public health clinics, school nursing, and community health nursing.
In 1978, international leaders convened in Alma-Ata, Kazakhstan, for what would be a pivotal event in global health. The Alma-Ata Declaration was the first to call...
1.8K
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

3.5K
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.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
3.5K
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

1.9K
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...
1.9K
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.5K
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...
2.5K
Secondary Healthcare System01:11

Secondary Healthcare System

1.9K
Secondary healthcare is offered by a specialist, generally in hospitals or clinics for patients referred by primary healthcare providers. It occurs when a person has an illness or injury that requires specific medical care. Secondary care is often referred to as acute care. Secondary care can range from uncomplicated care to repair a minor laceration or treat a strep throat infection to more complicated emergent care, such as treating a head injury sustained in an automobile accident. Whatever...
1.9K

You might also read

Related Articles

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

Sort by
Same author

Users' Perceived Service Quality of National Telemedicine Services During the COVID-19 Pandemic in Bangladesh: Cross-Sectional Study.

JMIR human factors·2025
Same author

The role of trust and habit in the adoption of mHealth by older adults in Hong Kong: a healthcare technology service acceptance (HTSA) model.

BMC geriatrics·2023
Same author

Blood Uric Acid Prediction With Machine Learning: Model Development and Performance Comparison.

JMIR medical informatics·2020
Same author

Women Using Mobile Phones for Health Communication Are More Likely to Use Prenatal and Postnatal Services in Bangladesh: Cross-Sectional Study.

JMIR mHealth and uHealth·2019

Related Experiment Video

Updated: Dec 14, 2025

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

1.2K

Mobile health interventions in developing countries: A systematic review.

Md Rakibul Hoque, Mohammed Sajedur Rahman1, Nymatul Jannat Nipa2

  • 1Emporia State University, USA.

Health Informatics Journal
|July 22, 2020
PubMed
Summary
This summary is machine-generated.

Mobile health interventions in developing countries often lack rigorous evidence reporting. Studies show low familiarity with quality assessment tools and poor integration with existing health systems, necessitating improved research practices.

Keywords:
developing nationsevidence reportingmERAmobile healthsystematic review

More Related Videos

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
07:51

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

17.1K
Subjective Refraction Test Using a Smartphone for Vision Screening
05:36

Subjective Refraction Test Using a Smartphone for Vision Screening

Published on: October 18, 2024

1.5K

Related Experiment Videos

Last Updated: Dec 14, 2025

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

1.2K
Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
07:51

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

17.1K
Subjective Refraction Test Using a Smartphone for Vision Screening
05:36

Subjective Refraction Test Using a Smartphone for Vision Screening

Published on: October 18, 2024

1.5K

Area of Science:

  • Digital Health
  • Global Health
  • Health Informatics

Background:

  • Mobile health (mHealth) interventions are increasingly deployed in developing countries.
  • Assessing the quality of evidence in mHealth literature is crucial for effective implementation.
  • Existing research often lacks methodological rigor and comprehensive reporting.

Purpose of the Study:

  • To review the quality of evidence reporting in mHealth intervention studies from developing countries.
  • To evaluate the adherence of mHealth studies to the World Health Organization's Evidence Reporting and Assessment checklist.
  • To identify gaps in methodology and reporting standards for mHealth interventions in resource-limited settings.

Main Methods:

  • Systematic literature search of mHealth applications published between 2013 and 2018.
  • Methodological screening and data extraction from 31 selected studies.
  • Evaluation of evidence reporting quality using the WHO mHealth Evidence Reporting and Assessment checklist.

Main Results:

  • Low familiarity with the WHO mHealth Evidence Reporting and Assessment checklist among researchers in developing countries.
  • Most studies inadequately meet essential evidence reporting criteria outlined in the checklist.
  • Limited use of design science methods and theory-based frameworks in mHealth intervention development.
  • Many mHealth interventions lack interoperability and integration readiness with existing health information systems.

Conclusions:

  • There is a significant need to improve the quality of evidence reporting in mHealth intervention studies conducted in developing countries.
  • Recommendations include developing robust, inclusive study plans to enhance evidence-based reporting.
  • Future research should focus on methodological rigor, adherence to reporting standards, and system integration for mHealth interventions.