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

Design and Usability of Consumer Health Tech and Home Monitoring Devices (218) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Hermeneutics and Interpretation in Implementation Science (9)

Published on in Vol 5, No 1 (2018): Jan-Mar

Supporting Accurate Interpretation of Self-Administered Medical Test Results for Mobile Health: Assessment of Design, Demographics, and Health Condition

Supporting Accurate Interpretation of Self-Administered Medical Test Results for Mobile Health: Assessment of Design, Demographics, and Health Condition

Supporting Accurate Interpretation of Self-Administered Medical Test Results for Mobile Health: Assessment of Design, Demographics, and Health Condition

Authors of this article:

Jess C Hohenstein1 Author Orcid Image ;   Eric PS Baumer2 Author Orcid Image ;   Lindsay Reynolds1 Author Orcid Image ;   Elizabeth L Murnane1 Author Orcid Image ;   Dakota O'Dell3 Author Orcid Image ;   Seoho Lee4 Author Orcid Image ;   Shion Guha5 Author Orcid Image ;   Yu Qi1 Author Orcid Image ;   Erin Rieger6 Author Orcid Image ;   Geri Gay1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Kim S. A Systematic Review on Visualizations for Self-Generated Health Data for Daily Activities. International Journal of Environmental Research and Public Health 2022;19(18):11166 View
  2. van der Mee F, Schaper F, Jansen J, Bons J, Meex S, Cals J. Enhancing Patient Understanding of Laboratory Test Results: Systematic Review of Presentation Formats and Their Impact on Perception, Decision, Action, and Memory. Journal of Medical Internet Research 2024;26:e53993 View