Usability and Feasibility of PmEB: A Mobile Phone Application for Monitoring Real Time Caloric Balance

Цай,; Lee, Myeong Soo; Raab,; Norman, Gregory J.; Sohn, Kyung-Ah; Griswold,; Patrick,

doi:10.1109/pcthealth.2006.361659

Cited by 40 publications

(45 citation statements)

References 18 publications

(6 reference statements)

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“…Other applications such as PmEB [27,42] and BALANCE [26] take a different approach to journaling. They incorporate caloric information for a variety of foods and activity types, enabling users to more accurately monitor their daily caloric expenditure but at the cost of higher journaling effort.…”

Section: Design Space Of Mobile-phone Health Interventionsmentioning

confidence: 99%

Healthcare in the pocket: Mapping the space of mobile-phone health interventions

Klasnja

Pratt

2012

Journal of Biomedical Informatics

859

537

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Mobile phones are becoming an increasingly important platform for the delivery of health interventions. In recent years, researchers have used mobile phones as tools for encouraging physical activity and healthy diets, for symptom monitoring in asthma and heart disease, for sending patients reminders about upcoming appointments, for supporting smoking cessation, and for a range of other health problems. This paper provides an overview of this rapidly growing body of work. We describe the features of mobile phones that make them a particularly promising platform for health interventions, and we identify five basic intervention strategies that have been used in mobile-phone health applications across different health conditions. Finally, we outline the directions for future research that could increase our understanding of functional and design requirements for the development of highly effective mobile-phone health interventions.

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Section: Design Space Of Mobile-phone Health Interventionsmentioning

confidence: 99%

Healthcare in the pocket: Mapping the space of mobile-phone health interventions

Klasnja

Pratt

2012

Journal of Biomedical Informatics

859

537

View full text Add to dashboard Cite

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“…An early example is PmEB, which demonstrated daily calorie budget feedback computed from a mobile food journal [9]. Siek et al studied journals for patients with chronic kidney disease, who found barcode and audio-based journals overwhelming [7].…”

Section: Related Workmentioning

confidence: 99%

Barriers and Negative Nudges

Cordeiro

Epstein

Thomaz

et al. 2015

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

216

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Although food journaling is understood to be both important and difficult, little work has empirically documented the specific challenges people experience with food journals. We identify key challenges in a qualitative study combining a survey of 141 current and lapsed food journalers with analysis of 5,526 posts in community forums for three mobile food journals. Analyzing themes in this data, we find and discuss barriers to reliable food entry, negative nudges caused by current techniques, and challenges with social features. Our results motivate research exploring a wider range of approaches to food journal design and technology.

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“…For example, a mobile app developed for a Nokia platform, Wellness Diary, allows users to record health-related data such as weight, sleep, and physical activity, and receive feedback on input [14-16]. The Patient-Centered Assessment and Counseling Mobile Energy Balance (PmEB) app allows users to log food intake from a limited database of foods and track calorie balance [18]. Another app, UbiFit, was developed to promote change in physical activity [19].…”

Section: Introductionmentioning

confidence: 99%

Adherence to a Smartphone Application for Weight Loss Compared to Website and Paper Diary: Pilot Randomized Controlled Trial

Carter¹,

Burley²,

Nykjaer³

et al. 2013

J Med Internet Res

629

564

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BackgroundThere is growing interest in the use of information communication technologies to treat obesity. An intervention delivered by smartphone could be a convenient, potentially cost-effective, and wide-reaching weight management strategy. Although there have been studies of texting-based interventions and smartphone applications (apps) used as adjuncts to other treatments, there are currently no randomized controlled trials (RCT) of a stand-alone smartphone application for weight loss that focuses primarily on self-monitoring of diet and physical activity.ObjectiveThe aim of this pilot study was to collect acceptability and feasibility outcomes of a self-monitoring weight management intervention delivered by a smartphone app, compared to a website and paper diary.MethodsA sample of 128 overweight volunteers were randomized to receive a weight management intervention delivered by smartphone app, website, or paper diary. The smartphone app intervention, My Meal Mate (MMM), was developed by the research team using an evidence-based behavioral approach. The app incorporates goal setting, self-monitoring of diet and activity, and feedback via weekly text message. The website group used an existing commercially available slimming website from a company called Weight Loss Resources who also provided the paper diaries. The comparator groups delivered a similar self-monitoring intervention to the app, but by different modes of delivery. Participants were recruited by email, intranet, newsletters, and posters from large local employers. Trial duration was 6 months. The intervention and comparator groups were self-directed with no ongoing human input from the research team. The only face-to-face components were at baseline enrollment and brief follow-up sessions at 6 weeks and 6 months to take anthropometric measures and administer questionnaires.ResultsTrial retention was 40/43 (93%) in the smartphone group, 19/42 (55%) in the website group, and 20/43 (53%) in the diary group at 6 months. Adherence was statistically significantly higher in the smartphone group with a mean of 92 days (SD 67) of dietary recording compared with 35 days (SD 44) in the website group and 29 days (SD 39) in the diary group (P<.001). Self-monitoring declined over time in all groups. In an intention-to-treat analysis using baseline observation carried forward for missing data, mean weight change at 6 months was -4.6 kg (95% CI –6.2 to –3.0) in the smartphone app group, –2.9 kg (95% CI –4.7 to –1.1) in the diary group, and –1.3 kg (95% CI –2.7 to 0.1) in the website group. BMI change at 6 months was –1.6 kg/m2 (95% CI –2.2 to –1.1) in the smartphone group, –1.0 kg/m2 (95% CI –1.6 to –0.4) in the diary group, and –0.5 kg/m2 (95% CI –0.9 to 0.0) in the website group. Change in body fat was –1.3% (95% CI –1.7 to –0.8) in the smartphone group, –0.9% (95% CI –1.5 to –0.4) in the diary group, and –0.5% (95% CI –0.9 to 0.0) in the website group.ConclusionsThe MMM app is an acceptable and feasible weight loss intervention and a full RCT of this approac...

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Usability and Feasibility of PmEB: A Mobile Phone Application for Monitoring Real Time Caloric Balance

Cited by 40 publications

References 18 publications

Healthcare in the pocket: Mapping the space of mobile-phone health interventions

Healthcare in the pocket: Mapping the space of mobile-phone health interventions

Barriers and Negative Nudges

Adherence to a Smartphone Application for Weight Loss Compared to Website and Paper Diary: Pilot Randomized Controlled Trial

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