design and evaluation of an assistive application for dialysis patients katie a. siek advisor: kay...
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Design and Evaluation of an Assistive Application for Dialysis Patients
Katie A. Siek
Advisor: Kay H. Connelly
Indiana University, SURG Lab
Subject Areas: HCI, UbiHealth
Motivation & Contributions Overview of Application
Plan of Attack
Motivation & Contributions Overview of Application
Plan of Attack
Overview of Application
Plan of Attack
Motivation & Contributions
Dialysis patients must monitor their fluid and sodium intake
• 80% of patients do not restrict their dietary intake [1,2]
• 1/3 of dialysis patients cannot perform simple calculations [3]
• Paper diaries have 11% compliance rate [4]
• Electronic diaries have 94% compliance rates [5]
Current nutrition applications are not sufficient
We need… • mobile application• save intake information• varying literacy and
computation skills• varying visual acuity
accounted for
Can we create a usable application for dialysis patients?
http://myhealth.ucsd.edu/HealthTopics/kidney/kidney_relatedNews.htm
•Discussions with nurses showed patients have varying
– Literacy levels
– Computer skills
– Visual Acuity
– Dexterity
•My experiences showed patients
– Rarely used computers
– Intimidated by PDAs
– Available only during dialysis
Our first contribution…
•Discussions with nurses showed patients have varying
– Literacy levels
– Computer skills
– Visual Acuity
– Dexterity
•My experiences showed patients
– Rarely used computers
– Intimidated by PDAs
– Available only during dialysis
Design methods to integrate PDA technology
Our second contribution…
•Discussions with nurses showed patients have varying
– Literacy levels
– Computer skills
– Visual Acuity
– Dexterity
•My experiences showed patients
– Rarely used computers
– Intimidated by PDAs
– Available only during dialysis
Create a framework for conducting user studies in non-traditional environments
Our third contribution…
•Discussions with nurses showed patients have varying
– Literacy levels
– Computer skills
– Visual Acuity
– Dexterity
•My experiences showed patients
– Rarely used computers
– Intimidated by PDAs
– Available only during dialysis
Design an application that is easy to use
The importance of the contributions
• Social-Personal Issues– The digital divide is real - but people must learn to use technology
• Non-Traditional Environment Evaluation Techniques– Non-traditional environments capture the stress, limited space,
and safety, etc. that other methods do not
• Interaction Interface Design Techniques– Most research focuses on web browsing instead of interfaces for
the less experienced
Our solution is an assistive application for dialysis patients
UPC read
UPC to food
Nutritional information
updated
Dietary Intake Monitoring Application
Our solution is an assistive application for dialysis patients
Icon selected
Nutritional information
updated
Dietary Intake Monitoring Application
DIMA is being developed using a user-centered approach
• Can enter data in many ways
• Easy to carry around
• No stigma of disease
• Data and time are recorded automatically
• No calculations
• Data can be downloaded for later review
This dissertation will consist of six user studies
Study
Dissertation Goals
StatusSocial-
PersonalNon-Trad. User Study
Interaction Interface Design
Physical Interactions w/PDAs
Done
Paper Prototyping Done
Barcode Education Done
Cognitive Interactions w/PDAs
* In Progress
Familiarity w/PDA In Progress
DIMA Prototype Not Done
We tested if dialysis patients could use PDAs and scanners
Goals:
- Compare performance with conventional and unconventional tasks
- Study how the groups physically interact with devices
*Voice recording task not shown
Fat Finger Worries: How Older and Younger Users Physically Interact with PDAs. Katie A. Siek, Yvonne Rogers, and Kay H. Connelly. Interact 2005
Our results were promising
Healthy 25-30 Years Oldvs
Healthy 75-85 Years Old
Healthy 75-85 Years Oldvs
Dialysis Participants
• No difference in performance for button press and voice recording tasks
• Younger prefer 5 /10mm icons
• Older prefer 20mm icons
• Older scanned items more times, but had the same success rate
• Baracoda pen not usable
• No difference in performance for button press, voice recording, and scanning tasks
• Chronically ill prefer 18.5mm icons (older prefer 20mm)
• Both groups can read smaller icons (10mm vs. 8.5mm)
We conducted a study to evaluate mental models
Goals:
- Find out about eating habits
- Discuss attitudes towards technology
- Learn about how they think/organize food
- Test initial ideas on how to organize food and present information
Na
.5 liter of 1 L used
.1 g of 2 g used
H20
??What if
Fat Finger Worries. Katie A. Siek, Yvonne Rogers, and Kay H. Connelly. Interact 2005.
People let their pride influence their preferences
• Participants organized food similarly
• Participants preferred an interface that combined designs
• Participants were not able to read their preferred consumption-level icon
• Participants understood warnings
Pride and Prejudice. Katie A. Siek, Kay H. Connelly, and Yvonne Rogers. In Review.
A recent study focused on PDA usage and barcode education
Goals:
- Teach patients about how to scan food
- Determine when patients scan or voice record foods
- Learn if patients will carry a PDA with them (and return it)
- Discover is scanning/voice recording is a useful way to monitor intake
Our higher level results
Patient uses DIMA
Patient gives feedback
Create/modify
functionality •Design guidelines for integration and interface design
•A framework for non-traditional user study evaluation
Lessons learned…
1. Interdisciplinary research takes time
2. Tweak and resubmit (papers, grants, programs)
3. If your research area does not exist, create it yourself
(BoF or SIG Workshop Journal Conference)
Questions?
References
1. Betts, D. K., & Crotty, G. D. (1988). Response to illness and compliance of long-term hemodialysis patients. ANNA Journal, 15, 96-100.
2. Welch, J. L. (2001). Fluid management beliefs by stage of fluid adherence. Research in Nursing and Health, 24, 105-112.
3. Evans, J. D., Wagner, C. D., & Welch, J. L. (2004). Cognitive status in hemodialysis patients as a function of fluid adherence. Renal Failure, 26(5), 575-581.
4. Stone, A. A., Shiffman, S., Schwartz, J. E., Broderick, J. E., & Hufford, M. R. (2002). Patient non-compliance with paper diaries. British Medical Journal, 324(7347), 1193-1194.
5. Stone, A. A., Shiffman, S., Schwartz, J. E., Broderick, J. E., & Hufford, M. R. (2003). Patient compliance with paper and electronic diaries. Controlled Clinical Trials, 24(2), 182-199.
6. Dowell, S. A. (2005). Electronic Self Monitoring of Dietary and FluidIntake Among Adults Receiving Hemodialysis. Unpublished master's study.
Extra Slides
I created a proof prototype called Food Updater
QuickTime™ and aMotion JPEG OpenDML decompressor
are needed to see this picture.
• Incorporates scanner and small UPC/Nutrient database
• Keeps track of fluid and sodium consumption
PDAs are getting lighter, faster, and have more memory
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We are creating an open source PDA nutrition database
USDA National Nutrient Database
• 6,220 Food Items
• 58 nutrients available
• 1.77 MB storage needed
SURG UPC Nutrient Database
•Website and PDA application to add and view entries
•Compare entries with USDA database and repeated entries for accuracy
We are currently looking for populations to help propagate the database
Have Have-Not
The digital divide is a real problem
Asian
56.8%
U.S. Citizen Access to the Internet in their Home (2000) [10]
Caucasian
53.9%
Hispanic
23.6%
Black
76.5% 23.5%
46.1%43.2%
76.4%
Adding technology does not solve the problem
• India’s Outdoor Kiosk [11]
• Gingrich’s laptop for every child
• Negroponte & Papert’s $100 Laptop [13]
Technology Determinism -
Assuming people will understand technology when it is introduced
Integration must be carefully planned
Integration must…
- improve education for community
- have social support
Successful Programs
- Gyandoot [11]
- Rural Healthcare PDA technology [12]
Non-traditional evaluation methods are lacking
http://www.pbs.org/wgbh/nova/bioterror/images/abou_program.jpg
Non-traditional environments (High Risk Environments) change without warning and have many constraints
We will use the Case Study approach to create a framework for evaluation
Modified RITE and IDA techniques will be used