Critical design elements of e-health applications for users with severe mental illness: singular focus, simple architecture, prominent contents, explicit navigation, and inclusive hyperlinks
- PMID: 24375458
- PMCID: PMC4332933
- DOI: 10.1093/schbul/sbt194
Critical design elements of e-health applications for users with severe mental illness: singular focus, simple architecture, prominent contents, explicit navigation, and inclusive hyperlinks
Abstract
Objective: E-health applications are becoming integral components of general medical care delivery models and emerging for mental health care. Few exist for treatment of those with severe mental illness (SMI). In part, this is due to a lack of models to design such technologies for persons with cognitive impairments and lower technology experience. This study evaluated the effectiveness of an e-health design model for persons with SMI termed the Flat Explicit Design Model (FEDM).
Methods: Persons with schizophrenia (n = 38) performed tasks to evaluate the effectiveness of 5 Web site designs: 4 were prominent public Web sites, and 1 was designed according to the FEDM. Linear mixed-effects regression models were used to examine differences in usability between the Web sites. Omnibus tests of between-site differences were conducted, followed by post hoc pairwise comparisons of means to examine specific Web site differences when omnibus tests reached statistical significance.
Results: The Web site designed using the FEDM required less time to find information, had a higher success rate, and was rated easier to use and less frustrating than the other Web sites. The home page design of one of the other Web sites provided the best indication to users about a Web site's contents. The results are consistent with and were used to expand the FEDM.
Conclusions: The FEDM provides evidence-based guidelines to design e-health applications for person with SMI, including: minimize an application's layers or hierarchy, use explicit text, employ navigational memory aids, group hyperlinks in 1 area, and minimize the number of disparate subjects an application addresses.
Keywords: Web site; Web site design; Web site usability; e-mental health; schizophrenia.
© The Author 2013. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For permissions, please email: journals.permissions@oup.com.
Similar articles
-
Designing eHealth Applications to Reduce Cognitive Effort for Persons With Severe Mental Illness: Page Complexity, Navigation Simplicity, and Comprehensibility.JMIR Hum Factors. 2017 Jan 5;4(1):e1. doi: 10.2196/humanfactors.6221. JMIR Hum Factors. 2017. PMID: 28057610 Free PMC article.
-
Key Variables for Effective eHealth Designs for Individuals With and Without Mental Health Disorders: 2^12-4 Fractional Factorial Experiment.J Med Internet Res. 2021 Mar 24;23(3):e23137. doi: 10.2196/23137. J Med Internet Res. 2021. PMID: 33759796 Free PMC article.
-
Does content affect whether users remember that Web pages were hyperlinked?Hum Factors. 2008 Oct;50(5):763-71. doi: 10.1518/001872008X354147. Hum Factors. 2008. PMID: 19110836
-
Quality assurance processes for designing patient education web sites.Comput Inform Nurs. 2002 Sep-Oct;20(5):191-200. doi: 10.1097/00024665-200209000-00011. Comput Inform Nurs. 2002. PMID: 12352105 Review.
-
Smart Home-based IoT for Real-time and Secure Remote Health Monitoring of Triage and Priority System using Body Sensors: Multi-driven Systematic Review.J Med Syst. 2019 Jan 15;43(3):42. doi: 10.1007/s10916-019-1158-z. J Med Syst. 2019. PMID: 30648217
Cited by
-
Using Electronic Data Collection Platforms to Assess Complementary and Integrative Health Patient-Reported Outcomes: Feasibility Project.JMIR Med Inform. 2020 Jun 26;8(6):e15609. doi: 10.2196/15609. JMIR Med Inform. 2020. PMID: 32589163 Free PMC article.
-
The WorkingWell Mobile Phone App for Individuals With Serious Mental Illnesses: Proof-of-Concept, Mixed-Methods Feasibility Study.JMIR Ment Health. 2018 Oct 25;5(4):e11383. doi: 10.2196/11383. JMIR Ment Health. 2018. PMID: 30361199 Free PMC article.
-
Development of a Technology-Based Intervention to Improve Help-Seeking in Distressed Non-Treatment-Seeking Young Adults With Common Mental Health Concerns.Cureus. 2023 May 16;15(5):e39108. doi: 10.7759/cureus.39108. eCollection 2023 May. Cureus. 2023. PMID: 37332458 Free PMC article.
-
Peer Support Specialists' Perspectives of a Standard Online Research Ethics Training: Qualitative Study.JMIR Form Res. 2022 Feb 1;6(2):e29073. doi: 10.2196/29073. JMIR Form Res. 2022. PMID: 35103606 Free PMC article.
-
Expert Consensus Survey on Digital Health Tools for Patients With Serious Mental Illness: Optimizing for User Characteristics and User Support.JMIR Ment Health. 2018 Jun 12;5(2):e46. doi: 10.2196/mental.9777. JMIR Ment Health. 2018. PMID: 29895514 Free PMC article.
References
-
- Brattberg G. Internet-based rehabilitation for individuals with chronic pain and burnout II: a long-term follow-up. Int J Soc Psychiatry. 2011;30:231–234. - PubMed
-
- Cavanagh K, Shapiro DA, Van Den Berg S, Swain S, Barkham M, Proudfoot J. The effectiveness of computerized cognitive behavioural therapy in routine care. Br J Clin Psychol. 2006;45:499–514. - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical