This paper is in the following e-collection/theme issue:

Wearables and MHealth Reviews (310) Evaluation and Research Methodology for mHealth (242) Design and Formative Evaluation of Mobile Apps (809)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35799, first published .
Integrating Behavioral Science and Design Thinking to Develop Mobile Health Interventions: Systematic Scoping Review

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

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

Authors of this article:

Paula Voorheis1, 2 Author Orcid Image ;   Albert Zhao2, 3 Author Orcid Image ;   Kerry Kuluski1, 4 Author Orcid Image ;   Quynh Pham1, 5 Author Orcid Image ;   Ted Scott2, 6 Author Orcid Image ;   Peter Sztur2 Author Orcid Image ;   Nityan Khanna2 Author Orcid Image ;   Mohamed Ibrahim2 Author Orcid Image ;   Jeremy Petch1, 2, 7, 8 Author Orcid Image
Article Authors Cited by (60) Tweetations (36) Metrics

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Books/Policy Documents

  1. Novak J, Maljur T, Drenska K. HCI International 2022 – Late Breaking Papers: Interacting with eXtended Reality and Artificial Intelligence. View

Conference Proceedings

  1. Farhat-Ul-Ain , Tomberg V. 2023 10th International Conference on Behavioural and Social Computing (BESC). Mapping Design Frameworks for Digital Behaviour Change Interventions to Goal-Directed Design View
  2. Rahmat D, Koesoema A, Hermanto B. 2024 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA). Architecture Design of TBCare: Mhealth for Drug Adherence Intervention in Tuberculosis Patients View
  3. Debackere F, Clavel C, Rören A, Rannou F, Nguyen C, Tran V, Messai Y, Martin J. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Evaluation of a Tailored Mobile Application for Self-Management of Low Back Pain: Towards a Metamodel for Designing Behavior Change Technologies View