Table of Contents
- Defining the Classification of Digital Health Interventions
- Four Categories of Digital Health Intervention (DHI)
- Benefits of Classification in Digital Health Interventions
- Understanding HealthCare System Categories
- Understanding System Challenges
- System Challenges or Startup Ideas?
- The Importance and Benefits of Classifying your Digital Intervention
- Whats Next:
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Ready to Publish
Nov 16, 2022
The classification of digital health interventions is a way to categorize the different types of digital health interventions. It helps to understand the different types of interventions and how they can be used in different situations.
The primary target of this is the public health audience. It aims to promote an accessible and bridging language for health program planners to articulate the functionalities of digital health implementations.
Classification of digital health interventions and Health system challenges
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The WHO Classification of digital health interventions v1. 0 provides a shared language to describe the uses of digital technology for health, specifying discrete digital capabilities applicable to clients, health workers, health system managers, and data services.
https://www.ncbi.nlm.nih.gov/books/NBK541905/#:~:text=The WHO Classification of digital,and data services (13).
Classification is a method of organizing and analyzing data. It is often used in digital health interventions to categorize patients into groups with similar characteristics, who can then be assigned to the same treatment.
Classification can be used for many benefits, such as:
- Improving patient outcomes by assigning them to the most appropriate treatment group
- Lowering costs by assigning patients to treatments that are more affordable
- Reducing the risk of adverse events by assigning patients who have a history of these events to the appropriate treatment groups
This classification of Digital Health Interventions (DHIs) should be used in tandem with the of list Health System Challenges (HSC) in order to articulate how technology is addressing identified health needs, such as lack of service utilization.
Digital technologies such as wearables, websites, and mobile applications are increasingly used in interventions targeting physical activity (PA). Increasing access to such technologies makes an attractive prospect for helping individuals of low socioeconomic status (SES) in becoming more active and healthier. However, little is known about their effectiveness in such populations. The aim of this systematic review was to explore whether digital interventions were effective in promoting PA in low SES populations, whether interventions are of equal benefit to higher SES individuals and whether the number or type of behavior change techniques (BCTs) used in digital PA interventions was associated with intervention effects.
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