↓ Skip to main content

Facilitators and barriers to using physical activity smartphone apps among Chinese patients with chronic diseases

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
132 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Facilitators and barriers to using physical activity smartphone apps among Chinese patients with chronic diseases
Published in
BMC Medical Informatics and Decision Making, April 2017
DOI 10.1186/s12911-017-0446-0
Pubmed ID
Authors

Liu Sun, Yanling Wang, Brian Greene, Qian Xiao, Chen Jiao, Meihua Ji, Ying Wu

Abstract

Smartphones and their applications (apps) impact society and health care. With the growth of smartphone users and app downloads in China, patients with chronic diseases have access to a self-management strategy for physical activity. Although studies report physical activity apps improve the physical activity of patients, data is limited concerning their use of these apps. Therefore, this study investigated the current usage, willingness to use, and barriers to using physical activity apps of Chinese patients with chronic diseases. We designed a questionnaire to collect data from chronic disease patients in a tertiary hospital in Beijing, which was sent to 250 patients in four departments. Two hundred eighteen questionnaires were returned (87.2% response rate). Most (92.7%) respondents owned a smartphone, 34.9% had used a physical activity app, and 18.8% were current users. Additionally, 53.7% were willing to use a physical activity app designed for them. Respondents more likely to use physical activity apps were younger (i.e., ≤ 44 years), more educated, current smartphone users, and previous users of physical activity apps; moreover, they believed they needed exercise, their disease required exercise instruction and support, and their physical status needed monitored when exercising (p < 0.05). Main barriers to using apps reported were insufficient function, difficulty of use, extra cost, and security issues. Our results indicate sizeable smartphone ownership among Chinese patients with chronic diseases; moreover, over half of our participants report they would use a physical activity app designed for them. This information can be leveraged by healthcare workers managing patients with chronic diseases.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 15%
Student > Ph. D. Student 16 12%
Researcher 15 11%
Student > Bachelor 15 11%
Other 12 9%
Other 22 17%
Unknown 32 24%
Readers by discipline Count As %
Nursing and Health Professions 28 21%
Medicine and Dentistry 21 16%
Computer Science 12 9%
Psychology 9 7%
Social Sciences 7 5%
Other 17 13%
Unknown 38 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 April 2017.
All research outputs
#20,414,746
of 22,965,074 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,814
of 2,001 outputs
Outputs of similar age
#270,039
of 310,317 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#32
of 34 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,001 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 310,317 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.