Smartphone Mobile Application Delivering Personalized, Real-Time Sun Protection Advice

Buller, David B.; Berwick, Marianne; Lantz, Kathy; Buller, Mary Klein; Shane, James; Kane, Ilima; Liu, Xia

doi:10.1001/jamadermatol.2014.3889

Cited by 76 publications

(85 citation statements)

References 38 publications

(39 reference statements)

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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%

“…This work found that adults desired sun protection advice, they identified few barriers to app use and were willing to input personal data. 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].…”

Section: Discussionmentioning

confidence: 99%

“…When utilised, it was associated with increased sun protection but with no significant difference in number of sunburns in the past 3 months from point of study. The research team commented [18,19] that strategies to increase use of mobile apps would be needed for more effective deployment in the general adult population.…”

Section: Discussionmentioning

confidence: 99%

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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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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

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

Tanna¹,

Oligbu²,

Boullier³

et al. 2017

JFNR

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“…There are numerous examples of app based (automated) informed consent procedures in mHealth research [11,12]. In several studies, electronic signatures were identified as sufficient to validate the consent process [13,14]. Women in the Dot study had three choices: 1) completing the informed consent through a fully automated process, 2) having a phone call with study representatives, or 3) utilizing chat functionality.…”

Section: Modification 3: Self-enroll Mechanism (Recruitment Weeks 16-26)mentioning

confidence: 99%

Lessons From the Dot Contraceptive Efficacy Study: Analysis of the Use of Agile Development to Improve Recruitment and Enrollment for mHealth Research (Preprint)

Shattuck¹,

Haile²,

Simmons³

2017

Preprint

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Background: Smartphone applications (apps) that provide women with information about their daily fertility status during their menstrual cycles have the potential to become an important addition to the contraceptive method mix. However, if these apps claim to help a user prevent pregnancy, they must undergo similar rigorous research required for other contraceptive methods. Georgetown University's Institute for Reproductive Health (IRH) is conducting a prospective longitudinal efficacy trial on Dot, an algorithm-based fertility app designed to help women prevent pregnancy.Objective: Recruiting research participants who meet the criteria required of a contraceptive efficacy study and enrolling an adequate number to statistically assess the effectiveness of Dot is critical. Recruiting and enrolling participants for the Dot study involved making decisions based on research and analytic data, constant process modification, and close monitoring and evaluation of the effect of these modifications. The aim of this paper is to highlight decision points during the recruitment-enrollment process and the effect of modifications on enrollment numbers and demographics.Methods: Originally, the only option for women to enroll in the study was to do so over the phone with a study representative. Upon noticing low enrollment numbers, we examined the seven steps from the time a woman received the recruitment message until she completed enrollment, and made modifications accordingly. In Modification 1, we added call-back and voicemail procedures to increase the number of completed calls. Modification 2 involved employing a chat/instant message (IM) feature to facilitate study enrollment. In Modification 3, the process was fully automated to allow participants to enroll in the study without the aid of study representatives.Results: After these modifications were implemented, 719 women were enrolled in the study over a 6 month period. The majority of participants (68.7%) were enrolled during Modification 3, in which they had the option to enroll via phone, chat, or the fully automated process. Overall, 27.5% were enrolled via a phone call, 19.9% a chat/IM, and 50.9% directly through the fully automated process. With respect to the demographic profile of our study sample, we found a significant statistical difference in education level across all modifications (p<0.05) but not in age or race/ethnicity (p>0.05). Conclusion:Our findings show that agile and consistent modifications to the recruitment and enrollment process were necessary to yield an appropriate sample size. An automated process resulted in significantly higher enrollment rates than one that required phone interaction with study representatives. While there were some differences in demographic characteristics of enrollees as the process was modified, in general our study population is diverse and reflects the overall United States population in terms of race/ethnicity, age, and education. Additional research is proposed to identify how differences in mode of enrollment a...

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“…Advanced technology has provided a more efficient method in which to conduct certain aspects of preventive trials and clinical trials (21). It has enhanced recruitment of patients and has been able overcome limitations of existing methods through which trials are run and patients are recruited (22,23). Caution is needed, however, when ultra-modern technologies are introduced in the setting of clinical trials to ensure key aspects such as consent are conducted in an appropriate manner (24).…”

Section: Advanced Technology In Cancer Prevention and Controlmentioning

confidence: 99%