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Integrating Behavioral Science and Design Thinking to Develop Mobile Health Interventions: Systematic Scoping Review.

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Summary
This summary is machine-generated.

Integrating behavioral design (BD) and design thinking (DT) into mobile health (mHealth) design enhances user engagement. This approach, termed Behavioral Design Thinking, guides the creation of effective mHealth interventions for behavior change.

Keywords:
behavior changedesign thinkingdigital healthhealth behaviormobile applicationmobile healthmobile phoneproduct designscoping reviewsystems designtelemedicineuser-centered design

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Area of Science:

  • Digital Health
  • Behavioral Science
  • Human-Computer Interaction

Background:

  • Mobile health (mHealth) interventions increasingly aim to facilitate health behavior change.
  • Integrating behavioral design (BD) and design thinking (DT) can enhance mHealth intervention effectiveness.
  • Limited research exists on integrating BD and DT in the mHealth design process.

Purpose of the Study:

  • To map evidence on integrating BD and DT insights into mHealth intervention design.
  • To characterize studies integrating BD and DT in mHealth design.
  • To identify theories, methods, challenges, and future directions for integrated BD and DT in mHealth.

Main Methods:

  • Scoping review following Joanna Briggs Institute and PRISMA-ScR guidelines.
  • Searched MEDLINE, PsycINFO, Embase, CINAHL, and JMIR for mHealth, BD, and DT related terms.
  • Included studies describing mHealth design processes incorporating behavior change theories/techniques; descriptive analysis conducted.

Main Results:

  • 75 papers (2012-2021) integrated BD and DT, termed 'Behavioral Design Thinking'.
  • Behavioral Design Thinking follows five steps: empathize, define, ideate, prototype, and test.
  • Key challenges include engaging partners, translating techniques into features, and clinical system integration.

Conclusions:

  • Integrating BD and DT best practices ensures purposeful mHealth design for user engagement.
  • This review clarifies integration methods but highlights the need for future research on optimal design approaches.