User-centered development of a smart phone mobile application delivering personalized real-time advice on sun protection

Buller, David B.; Berwick, Marianne; Shane, James; Kane, Ilima; Lantz, Kathleen; Buller, Mary Klein

doi:10.1007/s13142-013-0208-1

Cited by 49 publications

(61 citation statements)

References 57 publications

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“…Users were particularly interested in the Sun alert service, highlighting the value of receiving prompts and advice in convenient place (eg, holiday setting). These findings, although preliminary, are very promising and align with those found in other investigations of mobile apps to promote sun protection, in which usage and acceptability have been similarly demonstrated [11,12,35]. The systematic and iterative development of the app [15] and the theory-driven nature of the app [42], including active components shown to be key in interventions promoting sun protection [13], may have led to greater usage.…”

Section: Comparison With Other Studiessupporting

confidence: 82%

“…The need for more intelligent and interactive systems has been reported previously [34]. The study by Buller and colleagues [35] also shows that participants were interested in a system that would (1) display how long they could be exposed to the sun without burning (including vitamin D synthesis), (2) show daily UV levels, (3) advice on recommended SPF, and (4) send prompts to reapply sunscreen. Nevertheless, such a system would need to tackle some of the uncertainties related to vitamin D synthesis and sunscreen use.…”

Section: Principal Findingsmentioning

confidence: 89%

See 1 more Smart Citation

Acceptability and Feasibility of a Trial Testing Allocation to Sunscreen and a Smartphone App for Sun Protection: Discontinued Randomized Controlled Trial

Rodrigues¹,

Sniehotta²,

Birch‐Machin³

et al. 2017

Preprint

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Section: Comparison With Other Studiessupporting

confidence: 82%

Section: Principal Findingsmentioning

confidence: 89%

Acceptability and Feasibility of a Trial Testing Allocation to Sunscreen and a Smartphone App for Sun Protection: Discontinued Randomized Controlled Trial

Rodrigues¹,

Sniehotta²,

Birch‐Machin³

et al. 2017

Preprint

View full text Add to dashboard Cite

“…Another critical consideration is how to use interface designs to best engage the target population. In this special issue, Buller and colleagues [19] provide an excellent guide for academics on the formative user-centered development process they employed to create a smart phone mobile application for sun protection. They obtained feedback from end users throughout development to ensure that the final product met user needs, was easy to use, and designed in a way that ensures users trust the product's advice.…”

Section: Who Should Be Involved In the Developmental Process Of Emergmentioning

confidence: 99%

How behavioral science can advance digital health

Pagoto

Bennett

2013

Behav. Med. Pract. Policy Res.

138

102

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The field of behavioral science has produced myriad data on health behavior change strategies and leveraged such data into effective human-delivered interventions to improve health. Unfortunately, the impact of traditional health behavior change interventions has been heavily constrained by patient and provider burden, limited ability to measure and intervene upon behavior in real time, variable adherence, low rates of implementation, and poor third-party coverage. Digital health technologies, including mobile phones, sensors, and online social networks, by being available in real time, are being explored as tools to increase our understanding of health behavior and to enhance the impact of behavioral interventions. The recent explosion of industry attention to the development of novel health technologies is exciting but has far outpaced research. This Special Section of Translational Behavioral Medicine, Smartphones, Sensors, and Social Networks: A New Age of Health Behavior Change features a collection of studies that leverage health technologies to measure, change, and/or understand health behavior. We propose five key areas in which behavioral science can improve the impact of digital health technologies on public health. First, research is needed to identify which health technologies actually impact behavior and health outcomes. Second, we need to understand how online social networks can be leveraged to impact health behavior on a large scale. Third, a team science approach is needed in the developmental process of health technologies. Fourth, behavioral scientists should identify how a balance can be struck between the fast pace of innovation and the much slower pace of research. Fifth, behavioral scientists have an integral role in informing the development of health technologies and facilitating the movement of health technologies into the healthcare system. KEYWORDS Digital health, mHealth, Social networksThe efficacy of traditional health behavior change interventions has long been constrained by expense, patient burden, and variable adherence. Current models of health care which limit our access to patients to face-to-face visits reduce our ability to gain an accurate understanding of the antecedents and consequences of behavior and to intervene in moments when patients most need help. Digital health technologies, including mobile phones, sensors, and online social networks, by being available in real time, are being explored as ways to enhance our ability to understand health behavior and intervene upon it more effectively. mHealth, a segment of the digital health market that leverages mobile technologies to solve health problems, has reached its tipping point. A rapidly growing body of evidence demonstrates the efficacy of mHealth approaches across a wide range of conditions, populations, and settings. mHealth has also attracted a explosion of industry attention. An extremely diverse group of companies are capitalizing on the mHealth market, which is projected to reach over $23 billion in r...

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“…Buller et al have published their work [18,19,20] reporting on the development of the app Solar Cell, designed for the Android smartphone, and where the aim is to provide real time sun protection advice. The pilot stage included the running of focus groups for conceptual determination [18], followed by four rounds of usability testing to develop the app interface.…”

Section: Discussionmentioning

confidence: 99%

“…Further research [19] included a randomised controlled trial pre-test post-test design with 10 week follow up for usability testing and to assess if the system was interoperable across handsets and networks. The system was found to be highly user friendly with a mean of 5.06 (Range 0 = worst imaginable to 7 = best imaginable) [20]. With regards to Vitamin D related outcomes, the research for the Solar cell app found that it helped with some improved sun protection.…”

Section: Discussionmentioning

confidence: 99%

Vitamin D Mobile Healthcare Applications for Consumer Use - Are They Any Good?

Tanna¹,

Oligbu²,

Boullier³

et al. 2017

JFNR

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Introduction: Members of the public interested in changing their health behaviour and comfortable with use of social media can download and purchase commercially developed lifestyle and or healthcare computer software. This is facilitated by the increase in technologically advanced, often elegantly designed, small screen portable in-built computerised systems on mobile smart-phones. Aims: With increasing awareness of use of Vitamin D for improved health outcomes, the aims for this study were to identify and evaluate any Vitamin D mobile smartphone healthcare applications (apps) available for public or consumer use. Methods: Incorporating a multi-phase mixed study design, in phase one Vitamin D apps on mobile smart-phones were identified and categorised by consensus using the Delphi technique. In phase two a database search was undertaken to gain an understanding of research undertaken on use of healthcare apps and any evaluation of outcomes. In phase three a modified validated mobile applications rating scale (MARS) was utilised to evaluate the apps identified in phase one. Each app that provided some health information was assigned objective scores for information quality, and subjective quality and app specific rating scores. Discussion: No Vitamin D apps were identified where evaluation in research trial settings has shown significant beneficial health outcomes. However the literature search helped to identify criteria that form a potential checklist for any future development of a Vitamin D app for consumer use. Use of the modified MARS, with scores assigned for validated information quality criteria, identified two apps which were rated highly but with use restricted to medical teams, and seven apps focusing on dietary intake. Results: Nine apps were identified supporting some level of healthcare delivery and assigned MARS scores. Seven of these apps focused primarily on Vitamin D nutritional support. There were no high quality Vitamin D apps identified that could help consumers with decision on Vitamin D supplementation.

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User-centered development of a smart phone mobile application delivering personalized real-time advice on sun protection

Cited by 49 publications

References 57 publications

Acceptability and Feasibility of a Trial Testing Allocation to Sunscreen and a Smartphone App for Sun Protection: Discontinued Randomized Controlled Trial

Acceptability and Feasibility of a Trial Testing Allocation to Sunscreen and a Smartphone App for Sun Protection: Discontinued Randomized Controlled Trial

How behavioral science can advance digital health

Vitamin D Mobile Healthcare Applications for Consumer Use - Are They Any Good?

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