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 (University of Colorado at Boulder, USA), Kay H. Connelly (Indiana University, USA), Beenish Chaudry (Indiana University, USA), Desiree Lambert (Trilogy Health Services, USA) and Janet L. Welch (Indiana University School of Nursing, USA)
Copyright: © 2009 |Pages: 23
DOI: 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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PDAs with scanner input and mobile phones used for IVRS input gather information in many domains. PDAs and scanners have been used to show clinicians videos about specific unit appliances (Brandt, Björgvinsson, Hillgren, Bergqvist, & Emilson, 2002), save and search for information about food products, music, and books (Bernheim, Combs, Smith, & Gupta, 2005), and obtain information about an environment from embedded barcodes (Fitzmaurice, Khan, Buxton, Kurtenback, & Balakrishnan, 2003). Mobile phones used for IVRSs have been used for patient counseling to enhance time spent with health professionals (Glasgow, Bull, Piette, & Steiner, 2004) and assess patient status with chronic illnesses such as depression, cancer, heart failure, and diabetes (Piette, 2000). In this section, we discuss specifically how PDAs and mobile phones have been used for interventions and nutritional monitoring.

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Table of Contents
Chapter 1
Katie A Siek, Kay H Connelly, Beenish Chaudry, Desiree Lambert, Janet L. Welch
In this chapter, the authors discuss two case studies that compare and contrast the use of barcode scanning, voice recording, and patient self... Sample PDF
Evaluation of Two Mobile Nutrition Tracking Applications for Chronically Ill Populations with Low Literacy Skills
$37.50
Chapter 2
Ana Ferreira, Luis Barreto, Pedro Brandao, Ricardo Correia
Virtual electronic patient records (VEPR) enable the integration and sharing of healthcare information within large and heterogeneous organizations... Sample PDF
Accessing an Existing Virtual Electronic Patient Record with a Secure Wireles Architecture
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Chapter 3
Phillip Olla, Joseph Tan
This chapter provides an overview of mobile personal health record (MPHR) systems. A Mobile personal health record is an eclectic application... Sample PDF
Personal Health Records Systems Go Mobile: Defining Evaluation Components
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Chapter 4
Ing Widya, HaiLiang Mei, Bert-Jan Beijnum, Jacqueline Wijsman, Hermie Hermens
In mobile healthcare, medical information are often expressed in different formats due to the local policies and regulations and the heterogeneity... Sample PDF
Medical Information Representation Framework for Mobile Healthcare
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Chapter 5
Daniel Ruiz-Fernandez, Antonio Soriano-Paya
The incorporation of computer engineering into medicine has meant significant improvements in the diagnosis-related tasks. This chapter presents an... Sample PDF
A Distributed Approach of a Clinical Decision Support System Based on Cooperation
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Chapter 6
Teppo Räisänen, Harri Oinas-Kukkonen, Katja Leiviskä, Matti Seppänen, Markku Kallio
Incorporating healthcare information systems into clinical settings has been shown to reduce medication errors and improve the quality of work in... Sample PDF
Managing Mobile Healthcare Knowledge: Physicians' Perceptions on Knowledge Creation and Reuse
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Chapter 7
Yousef Jasemian
Recording of physiological vital signs in patients’ real-life environment could be especially useful in management of chronic disorders; for example... Sample PDF
Patient Monitoring in Diverse Environments
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Chapter 8
Monica Tentori, Daniela Segura, Jesus Favela
Hospital work is characterized by intense mobility, a frequent switching between tasks, and the need to collaborate and coordinate activities among... Sample PDF
Monitoring Hospital Patients Using Ambient Displays
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Chapter 9
Javier Espina, Heribert Baldus, Thomas Falck, Oscar Garcia, Karin Klabunde
Wireless body sensor networks (BSNs) are an indispensable building stone for any pervasive healthcare system. Although suitable wireless... Sample PDF
Towards Easy-to-Use, Safe, and Secure Wireless Medical Body Sensor Networks
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Chapter 10
Yousef Jasemian
People living with chronic medical conditions, or with conditions requiring short term monitoring, need regular and individualized care to maintain... Sample PDF
Sensing of Vital Signs and Transmission Using Wireless Networks
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Chapter 11
Nuria Oliver, Fernando Flores-Mangas, Rodrigo de Oliveira
In this chapter, we present our experience in using mobile phones as a platform for real-time physiological monitoring and analysis. In particular... Sample PDF
Towards Wearable Physiological Monitoring on a Mobile Phone
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Chapter 12
Giovanni Russello, Changyu Dong, Naranker Dualy
In this chapter, the authors describe a new framework for pervasive healthcare applications where the patient’s consent has a pivotal role. In their... Sample PDF
A Framework for Capturing Patient Consent in Pervasive Healthcare Applications
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Chapter 13
Filipe Meneses, Adriano Moreira
The increasing availability of mobile devices and wireless networks, and the tendency for them to become ubiquitous in our dally lives, creates a... Sample PDF
Technology Enablers for Context-Aware Healthcare Applications
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Chapter 14
Bjorn Gottfried
This chapter introduces spatial health systems, identifies fundamental properties of these systems, and details for specific applications the... Sample PDF
Modeling Spatiotemporal Developments in Spatial Health Systems
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Chapter 15
Hailiang Mei, Bert-Jan van Beijnum, Ing Widya, Val Jones, Hermie Hermens
Building context-aware mobile healthcare systems has become increasingly important with the emergence of new medical sensor technologies, the fast... Sample PDF
Context-Aware Task Distribution for Enhanced M-health Application Performance
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