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TRANSCRIPT
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DASHTRICKSHadiza Ismaila Micheal Kutz Jian Zhao Xiaotao Chen
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Millions die each year from preventable disease. Research shows that improvements in vaccine delivery have helped dramatically, but there are
still large amounts of people that go unvaccinated despite available resources.
MOTIVATION
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Quality data is neither easily accessible nor properly utilized to assist District Immunization Managers in making proper management decisions.
PROBLEM STATEMENT
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CURRENT METHODS
Paper based registry and ledgers In person checking of refrigerators Excel-based tools
- District Vaccine Data Management Tool - Stock management tool
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Poor visualization of data
BARRIERS
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BARRIERSTime constraints
“He does not have time to spend on the surveillance and monitoring and evaluation tasks that he knows are
important.”!!
- Abdu from the PATH Personas document
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BARRIERS
District Managers have limited resources for transportation. Worse, district managers find themselves bringing vaccine supplies to health facilities that
don’t need them.
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EFFECTS
District managers feel like they are in a “silo” and have no systematic access to the health problems in their area. Thus a missed opportunity for motivation and
evidence-based leadership
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DESIGN CHALLENGE
Visualize data to help district manager realize problems and make decisions intuitively and correctly.
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DESIGN SOLUTION
DashTricks is an Android tablet app for monitoring key Immunization indicators in health facilities in a particular district
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DESIGN SOLUTIONKey Indicators Immunization Coverage Vaccine Stock Levels Cold Chain Performance !Target Audience District Immunization Managers
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RELATED WORK
The Better Immunization through Data (BID) Initiative seeks to broadly address the issues that exist in data collection and usage for immunization
through both technical and nontechnical solutions.
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RESEARCHExpert Interviews Fahad – Graduate Student, UW Brian – PATH Henry – PATH !Analysis BID Personas Document Stock Management Tool District Vaccine Data Management Tool
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ARCHITECTURE
Data Sources
Customized Data Extraction Routines
Standardized Data Model
Visualization Views
Note Taking
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ARCHITECTUREVisualization: D3.js in Android WebView !Data Model: Local SQLite3 database managed by Java Data Access Objects !Data Source: Parsing routines over DVDMT and SMT for Tanzania 2012 data, with goal to eventually incorporate DHIS-2
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ARCHITECTURE
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EXAMPLE D3 CHARTS
Min/Max temperatures
Coverage Rate Per Vaccine
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SAMPLE WORKFLOWS1. Show the Vaccine Supply Usage trends for a particular facility. 2. Note that they are regularly over-supplied for the BCG tuberculosis
vaccine. 3. Adjust plans accordingly.
!1. Open the map of coverage rates for all facilities. 2. See an outlier data-point of 140%. 3. Flag this data-point for further review.
!1. Review cold chain temperature data for district. 2. Use comparison between districts to discover consistently greater success
in a nearby district in avoiding temp alarms. 3. Contact other district manager to determine their practices. 4. Learn and adjust plans/facilities as best as possible.
!
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PROTOTYPE
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PROTOTYPE
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PROTOTYPE
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PROTOTYPE
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PROTOTYPE
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PROTOTYPE
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EVALUATIONConduct User Tests
Include backside tools to measure which screens are used the most
!Feedback from Experts (you!)
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TIMELINEWeek
0 1 2 3 4 5 6 7 8 9 10
Android Hello, World' Create base app
layout, work on D3 charts
Inject D3 charts, data into
layout
Develop notes feature, flagging feature, others as desired
Model Create simple DAO
Draft Database Design/Standards
Adjust and finalize Database/DAO Design
Design Hi-Fi Prototype Refinement Add design elements to android
Poster Design
Testing Concept Testing Local User Testing Field Testing
Deliverable Specification V1 V2 Final Poster/Presentation