Short answer
Integrate health equity considerations into every phase of digital health design and implementation, guided by a structured conceptual framework.
- Field
- User-Centred Design
- Source
- PLOS Digital Health (2024)
- Method
- Conceptual model development through literature review and synthesis.
- Evidence
- Strong effect
A new conceptual model, DH-EquIR, provides a framework for designing and implementing digital health technologies that are inclusive and accessible to diverse populations. This user-centred design research insight is drawn from a 2024 study published in PLOS Digital Health. Using Conceptual model development through literature review and synthesis., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate health equity considerations into every phase of digital health design and implementation, guided by a structured conceptual framework.
Conceptual Model Guides Equitable Digital Health Implementation
A new conceptual model, DH-EquIR, provides a framework for designing and implementing digital health technologies that are inclusive and accessible to diverse populations.
PLOS Digital Health · 2024
Key Findings
- 01The DH-EquIR model organizes concepts into key groupings: population health status, planning the program, designing the program, implementing the program, and equity-focused implementation outcomes.
- 02The model explicitly incorporates patient and program-related concepts crucial for digital equity and assessing social/digital determinants of health.
Application
Design takeaway
Integrate health equity considerations into every phase of digital health design and implementation, guided by a structured conceptual framework.
How to apply
Use the DH-EquIR model's conceptual groupings as a checklist during the design and planning phases of digital health projects to ensure equity is addressed.
Project actions
- 01When designing a digital product, think about who might be left out and how you can include them.
- 02Use frameworks like DH-EquIR to systematically consider different aspects of user needs and potential barriers.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Comprehensive literature review informing the model's development.
- +Focus on a critical and growing area of digital health implementation.
Limitations
The model is theoretical; its practical effectiveness needs to be tested in actual design projects.
Reliability & validity
The reliability and validity of the DH-EquIR model are established through the rigorous synthesis of existing literature and theoretical frameworks. However, empirical validation through its application in diverse real-world settings would further strengthen its practical validity.
Think critically
How might the DH-EquIR model be adapted or expanded to address emerging digital health technologies, such as AI-driven diagnostics or virtual reality therapies?
Design Principles
"Design for inclusivity and equity by systematically addressing diverse user needs and social determinants of health throughout the product lifecycle."
As digital health solutions become more prevalent, ensuring equitable access and usability is critical. This model helps designers and implementers proactively address potential disparities, leading to more effective and widely adopted health technologies.
What This Means for Your Design
This research created a map (a conceptual model) to help people build digital health tools that work well for everyone, no matter their background or access to technology.
How to use in your project
- 1.Reference the DH-EquIR model when discussing the importance of inclusive design and how you addressed potential equity issues in your design process.
Add to My Project
Quick Cite
Paragraph starter
The development of the DH-EquIR conceptual model by Groom et al. (2024) offers a valuable framework for ensuring that digital health technologies are designed and implemented with a strong emphasis on health equity. This model systematically guides designers and implementers through key stages, from planning to outcomes, by integrating considerations for diverse populations and social determinants of health, thereby promoting more inclusive and accessible digital health solutions.
Source
PLOS Digital Health
Construction of the Digital Health Equity-Focused Implementation Research Conceptual Model - Bridging the Divide Between Equity-focused Digital Health and Implementation Research
journal · 2024
View sourceQuestions About This Research
- What does the research say about conceptual model guides equitable digital health implementation?
- Integrate health equity considerations into every phase of digital health design and implementation, guided by a structured conceptual framework. Evidence: PLOS Digital Health (2024).
- Why does "Conceptual Model Guides Equitable Digital Health Implementation" matter for design?
- As digital health solutions become more prevalent, ensuring equitable access and usability is critical. This model helps designers and implementers proactively address potential disparities, leading to more effective and widely adopted health technologies.
- How can designers apply this research?
- Integrate health equity considerations into every phase of digital health design and implementation, guided by a structured conceptual framework.
- What were the main findings?
- The DH-EquIR model organizes concepts into key groupings: population health status, planning the program, designing the program, implementing the program, and equity-focused implementation outcomes.. The model explicitly incorporates patient and program-related concepts crucial for digital equity and assessing social/digital determinants of health.
- What research method was used?
- Conceptual model development through literature review and synthesis..
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2024 journal from PLOS Digital Health.
- What should I do differently in my next project?
- Use the DH-EquIR model's conceptual groupings as a checklist during the design and planning phases of digital health projects to ensure equity is addressed.
- What are the limitations?
- The model is conceptual and requires empirical validation through its application in real-world digital health implementation projects.