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Survey of user needs: Mobile apps for mhealth and people with disabilities

Publication ,  Conference
Lippincot, B; Thompson, N; Morris, J; Jones, M; DeRuyter, F
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2020

This paper presents data and analysis from survey research conducted by the Rehabilitation Engineering Research Center on Information and Communication Technology Access for Mobile Rehabilitation (mRehab RERC) on the use and unmet needs for mHealth mobile apps by people with disabilities in the United States. Quantitative and qualitative data are reported on user experiences with mHealth apps to map the behavior, interests and needs of people with specific types of disability (physical, cognitive, sensory, emotional/psychological, and speech). Summary results are presented for all respondents and each disability type. Slightly more than half of the participants in this sample (53.2%) reported using mHealth apps. Fitness and exercise apps were the mHealth apps most used by respondents with disabilities, followed by hospital/clinical portal apps. Symptom and disease management apps are the least commonly used, even though these would seem to be important for people with chronic conditions. Text-based responses regarding unmet needs for mHealth apps can be sorted into accessibility needs and functionality needs. In general, respondents with sensory limitations were more likely to identify accessibility needs. However, all disability groups identified both types of unmet needs. These results can help inform research and development efforts to provide mHealth apps that meet the needs of people with disabilities.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

ISBN

9783030588045

Publication Date

January 1, 2020

Volume

12377 LNCS

Start / End Page

266 / 273

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Lippincot, B., Thompson, N., Morris, J., Jones, M., & DeRuyter, F. (2020). Survey of user needs: Mobile apps for mhealth and people with disabilities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12377 LNCS, pp. 266–273). https://doi.org/10.1007/978-3-030-58805-2_32
Lippincot, B., N. Thompson, J. Morris, M. Jones, and F. DeRuyter. “Survey of user needs: Mobile apps for mhealth and people with disabilities.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12377 LNCS:266–73, 2020. https://doi.org/10.1007/978-3-030-58805-2_32.
Lippincot B, Thompson N, Morris J, Jones M, DeRuyter F. Survey of user needs: Mobile apps for mhealth and people with disabilities. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2020. p. 266–73.
Lippincot, B., et al. “Survey of user needs: Mobile apps for mhealth and people with disabilities.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12377 LNCS, 2020, pp. 266–73. Scopus, doi:10.1007/978-3-030-58805-2_32.
Lippincot B, Thompson N, Morris J, Jones M, DeRuyter F. Survey of user needs: Mobile apps for mhealth and people with disabilities. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2020. p. 266–273.
Journal cover image

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

ISBN

9783030588045

Publication Date

January 1, 2020

Volume

12377 LNCS

Start / End Page

266 / 273

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences