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A qualitative study of user perceptions of mobile health apps

Overview of attention for article published in BMC Public Health, November 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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8 news outlets
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9 X users
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1 Facebook page

Citations

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321 Dimensions

Readers on

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752 Mendeley
Title
A qualitative study of user perceptions of mobile health apps
Published in
BMC Public Health, November 2016
DOI 10.1186/s12889-016-3808-0
Pubmed ID
Authors

Wei Peng, Shaheen Kanthawala, Shupei Yuan, Syed Ali Hussain

Abstract

Mobile apps for health exist in large numbers today, but oftentimes, consumers do not continue to use them after a brief period of initial usage, are averse toward using them at all, or are unaware that such apps even exist. The purpose of our study was to examine and qualitatively determine the design and content elements of health apps that facilitate or impede usage from the users' perceptive. In 2014, six focus groups and five individual interviews were conducted in the Midwest region of the U.S. with a mixture of 44 smartphone owners of various social economic status. The participants were asked about their general and health specific mobile app usage. They were then shown specific features of exemplar health apps and prompted to discuss their perceptions. The focus groups and interviews were audio recorded, transcribed verbatim, and coded using the software NVivo. Inductive thematic analysis was adopted to analyze the data and nine themes were identified: 1) barriers to adoption of health apps, 2) barriers to continued use of health apps, 3) motivators, 4) information and personalized guidance, 5) tracking for awareness and progress, 6) credibility, 7) goal setting, 8) reminders, and 9) sharing personal information. The themes were mapped to theories for interpretation of the results. This qualitative research with a diverse pool of participants extended previous research on challenges and opportunities of health apps. The findings provide researchers, app designers, and health care providers insights on how to develop and evaluate health apps from the users' perspective.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 752 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Germany 1 <1%
Canada 1 <1%
Unknown 749 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 131 17%
Student > Ph. D. Student 91 12%
Student > Bachelor 88 12%
Researcher 63 8%
Student > Doctoral Student 48 6%
Other 107 14%
Unknown 224 30%
Readers by discipline Count As %
Computer Science 95 13%
Nursing and Health Professions 73 10%
Medicine and Dentistry 70 9%
Social Sciences 62 8%
Business, Management and Accounting 49 7%
Other 140 19%
Unknown 263 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 66. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 July 2023.
All research outputs
#645,940
of 25,362,278 outputs
Outputs from BMC Public Health
#640
of 17,490 outputs
Outputs of similar age
#12,071
of 313,239 outputs
Outputs of similar age from BMC Public Health
#10
of 184 outputs
Altmetric has tracked 25,362,278 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,490 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,239 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.