Evaluation of Two Mobile Nutrition Tracking Applications for Chronically Ill Populations with Low Literacy Skills

Siek, Katie A.; Connelly, Kay; Chaudry, Beenish; Lambert, Desiree; Welch, Janet L.

doi:10.4018/9781605663326.ch001

Cited by 3 publications

(36 citation statements)

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“…We previously found that subjects preferred voice recording food items over barcode scanning 31 ; however, they had difficulty recording items that could be parsed in real time. 32 Thus for DIMA, the voice recording option is only available after the user either tries but is unsuccessful in scanning a barcode, or navigates the icon screens in an attempt to find a food item that is not present ( figure 2H). This design decision forced subjects to attempt to enter food another way and receive real-time feedback before they tried voice recording.…”

Section: Voice Recordingmentioning

confidence: 99%

An offline mobile nutrition monitoring intervention for varying-literacy patients receiving hemodialysis: a pilot study examining usage and usability

Connelly

Siek

Chaudry

et al. 2012

J Am Med Inform Assoc

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Section: Voice Recordingmentioning

confidence: 99%

An offline mobile nutrition monitoring intervention for varying-literacy patients receiving hemodialysis: a pilot study examining usage and usability

Connelly

Siek

Chaudry

et al. 2012

J Am Med Inform Assoc

Self Cite

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“…We chose to perform this SLR in a style popular with computer science and software engineering, as the recent advances in this area are what is motivating current research. As such, the systematic literature search follows software engineering guidelines [4]. To facilitate the comparison of literature across multiple disciplines, a conceptual framework was devised following the approach of Baumeister and Leary [17], a method used successfully for multidisciplinary computing and health literature reviews [18].…”

Section: Methodsmentioning

confidence: 99%

“…Fifteen studies reported the gender of participants totalling 358 female and 172 male participants. A mix of female and male participants was included in 12 studies [4], [15], [16], [19]- [23], [27], [29], [30], [41], females only by two studies [5], [13] and males only by one study [24]. The median ratio of female to male participants was 16 to 12 (range 1-73 to .…”

Section: A Study Design 1) Participantsmentioning

confidence: 99%

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Speech Recording for Dietary Assessment: A Systematic Literature Review

2022

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Traditional methods of capturing people's dietary intake are complex and labour-intensive, requiring a high level of literacy and time. Speech recording has potential to reduce these barriers, and recent technological advances have greatly increased the viability of this approach. The aim of this paper is to establish the current state of research on the usage of speech records in dietary assessment. To this end, we performed a systematic literature review and summarised the current state of research along a conceptual framework that captures the components involved in using speech records for dietary assessment. Six databases from the nutrition and computing domains were interrogated, resulting in 21 relevant papers. Speech recording in an unstructured format was preferred when compared against other methods by all three studies reporting comparisons. High technological satisfaction and ease of use were noted by all eight studies reporting user acceptance. When recording data, 78% of studies focused on collecting prospective food records. The choice of device reflected this, with 15 of 18 studies reporting a form of handheld, portable collection device intended to be always available. To process data, nine studies performed automated speech transcription achieving an average accuracy of 83%, seven of which utilized a readily available commercial service. Of the five studies that used natural language processing to further automate analysis, an average accuracy of 82% was reported. Further research is required to adapt these prototypes to address practical challenges in dietary assessment and monitoring (e.g. self-monitoring for low-literacy users).

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“…In voice response systems, the input interaction is a recorded voice instead of a picture. Siek et al (2009) conducted a study to compare the use of barcode scanning and voice recording. They found that the participants preferred voice recording.…”

Section: Mobile Ehealth Servicesmentioning

confidence: 99%

Web-based eHealth applications with reference to food composition data

Seljak

2010

Eur J Clin Nutr

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Background/Objectives: Food composition data (FCD) can provide important information in relation to diet and health; therefore, data on food composition have broad applications in health care. The objective of this study was to provide an overview of added-value eHealth systems that use modern information and communication technologies to support health and are related to FCD and nutrition. This paper also examines whether reliable and comprehensive FCD are used in eHealth systems. Methods: A total of 25 instances of eHealth systems from nine groups, defined with respect to the services that eHealth systems provide, were randomly selected. The selection of the population-based and expert-based eHealth systems took into account diversity, complexity and popularity. Results/Conclusions: As most of the reviewed population-based eHealth systems used the United States Department of Agriculture nutrient database or basic FCD provided by the food products' producers, and only a few of them relied on local or national FCD, the author believes that, in general, the use of comprehensive FCD in the reviewed population-based eHealth systems has not reached a satisfactory level. Furthermore, many of these systems would increase their value by providing more detailed information on FCD and by addressing the nutritional aspects of health with greater emphasis. In contrast, most of the reviewed expert-based eHealth systems proved to be reliable and rich sources of nutrition information, respecting the need to address the subject from both national and international aspects.

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Evaluation of Two Mobile Nutrition Tracking Applications for Chronically Ill Populations with Low Literacy Skills

Cited by 3 publications

References 0 publications

An offline mobile nutrition monitoring intervention for varying-literacy patients receiving hemodialysis: a pilot study examining usage and usability

An offline mobile nutrition monitoring intervention for varying-literacy patients receiving hemodialysis: a pilot study examining usage and usability

Speech Recording for Dietary Assessment: A Systematic Literature Review

Web-based eHealth applications with reference to food composition data

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