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

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

Katie A. Siek, Kay H. Connelly, Beenish Chaudry, Desiree Lambert, Janet L. Welch
Copyright: © 2009 |Pages: 23
ISBN13: 9781605663326|ISBN10: 1605663328|ISBN13 Softcover: 9781616925260|EISBN13: 9781605663333
DOI: 10.4018/978-1-60566-332-6.ch001
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MLA

Siek, Katie A., et al. "Evaluation of Two Mobile Nutrition Tracking Applications for Chronically Ill Populations with Low Literacy Skills." Mobile Health Solutions for Biomedical Applications, edited by Phillip Olla and Joseph Tan, IGI Global, 2009, pp. 1-23. https://doi.org/10.4018/978-1-60566-332-6.ch001

APA

Siek, K. A., Connelly, K. H., Chaudry, B., Lambert, D., & Welch, J. L. (2009). Evaluation of Two Mobile Nutrition Tracking Applications for Chronically Ill Populations with Low Literacy Skills. In P. Olla & J. Tan (Eds.), Mobile Health Solutions for Biomedical Applications (pp. 1-23). IGI Global. https://doi.org/10.4018/978-1-60566-332-6.ch001

Chicago

Siek, Katie A., et al. "Evaluation of Two Mobile Nutrition Tracking Applications for Chronically Ill Populations with Low Literacy Skills." In Mobile Health Solutions for Biomedical Applications, edited by Phillip Olla and Joseph Tan, 1-23. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-332-6.ch001

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Abstract

In this chapter, the authors discuss two case studies that compare and contrast the use of barcode scanning, voice recording, and patient self reporting as a means to monitor the nutritional intake of a chronically ill population. In the first study, they found that participants preferred unstructured voice recordings rather than barcode scanning. Since unstructured voice recordings require costly transcription and analysis, they conducted a second case study where participants used barcode scanning or an integrated voice response system to record nutritional intake. The authors found that although the latter input method provided participants with a faster method to input food items, participants had difficulty using the system despite training.

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