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User interface design for mobile-based sexual health interventions for young people: Design recommendations from a qualitative study on an online Chlamydia clinical care pathway

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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14 X users
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1 Facebook page
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1 Google+ user

Citations

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42 Dimensions

Readers on

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220 Mendeley
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Title
User interface design for mobile-based sexual health interventions for young people: Design recommendations from a qualitative study on an online Chlamydia clinical care pathway
Published in
BMC Medical Informatics and Decision Making, August 2015
DOI 10.1186/s12911-015-0197-8
Pubmed ID
Authors

Voula Gkatzidou, Kate Hone, Lorna Sutcliffe, Jo Gibbs, Syed Tariq Sadiq, Ala Szczepura, Pam Sonnenberg, Claudia Estcourt

Abstract

The increasing pervasiveness of mobile technologies has given potential to transform healthcare by facilitating clinical management using software applications. These technologies may provide valuable tools in sexual health care and potentially overcome existing practical and cultural barriers to routine testing for sexually transmitted infections. In order to inform the design of a mobile health application for STIs that supports self-testing and self-management by linking diagnosis with online care pathways, we aimed to identify the dimensions and range of preferences for user interface design features among young people. Nine focus group discussions were conducted (n = 49) with two age-stratified samples (16 to 18 and 19 to 24 year olds) of young people from Further Education colleges and Higher Education establishments. Discussions explored young people's views with regard to: the software interface; the presentation of information; and the ordering of interaction steps. Discussions were audio recorded and transcribed verbatim. Interview transcripts were analysed using thematic analysis. Four over-arching themes emerged: privacy and security; credibility; user journey support; and the task-technology-context fit. From these themes, 20 user interface design recommendations for mobile health applications are proposed. For participants, although privacy was a major concern, security was not perceived as a major potential barrier as participants were generally unaware of potential security threats and inherently trusted new technology. Customisation also emerged as a key design preference to increase attractiveness and acceptability. Considerable effort should be focused on designing healthcare applications from the patient's perspective to maximise acceptability. The design recommendations proposed in this paper provide a valuable point of reference for the health design community to inform development of mobile-based health interventions for the diagnosis and treatment of a number of other conditions for this target group, while stimulating conversation across multidisciplinary communities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Australia 1 <1%
Unknown 217 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 15%
Researcher 24 11%
Student > Ph. D. Student 24 11%
Student > Bachelor 21 10%
Student > Doctoral Student 12 5%
Other 50 23%
Unknown 55 25%
Readers by discipline Count As %
Nursing and Health Professions 28 13%
Computer Science 26 12%
Medicine and Dentistry 23 10%
Psychology 18 8%
Social Sciences 17 8%
Other 44 20%
Unknown 64 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 11 December 2015.
All research outputs
#3,786,873
of 23,321,213 outputs
Outputs from BMC Medical Informatics and Decision Making
#321
of 2,024 outputs
Outputs of similar age
#48,849
of 268,631 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#5
of 36 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 84% 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 268,631 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.