ELECTRONIC MOBILE DATA IN GLOBAL HEALTH RESEARCH:

A HANDS ON COURSE

Summer 2010 - Bergen, Norway

We came from around the world to learn from each other…

…across the health-tech divide…

…to understand how mobile technologies can make global

health research more efficient, cost-effective

and accessible.

Electronic Health Records

Laboratory Information Systems

Pharmacy Management Systems

Surveillance

Mobile Phone applications

Patient ID and Tracking (fingerprint)

Epidemiology, Monitoring and Evaluation

Supply and administration reporting/tracking

Education, training, human resources capacity building, telemedicine, etc.

Sample, supply and medication tracking (barcodes)

(remember that eHealth includes… )

(…and that mHealth can be linked to all of these)

We discussed tools and approaches available for

data collection, data management,

data analysis, and reporting.

We designed, deployed and tested several open source data

collection tools on mobile phones.

Tools Uses

OpenXData mobile data collection

OpenClinica clinical trial data management

OpenMRS electronic patient medical records

R data analysis

YAWL work flow analysis

and found that some tools worked well …. and others are more complicated!!

“Logic Model” to help understand how mobile technologies can impact health outcomes

Inputs

• Personnel

• Equipment

• Supplies

• Skills (training)

• Infrastructure

Activities

• Training

• Enrollment

• Sample Collection

• Bench Research

• Survey Administration

• Analysis

• Materials Development

Outputs

• Data

• Sample bank

• Databases

• Outreach materials

• Maps (genetic, geographic, demographic, etc.)

• Workshops

Outcomes

• Changes in behaviors of participants

• Changes in incidence / prevalence of disease

• New model for understanding a phenomenon

• New vaccine / drug

IMPACTS

• Improvement of treatment protocols

• Increased health literacy

• Reduction of burden of disease

• Improved research capacity

• New paradigm for understanding X

Results & ImpactsImplementation

We learned from each other’s experiences - in multiple

countries and health research settings - about the challenges

and opportunities in the mHealth field.

Identifying where mHealth solutions can address health service and knowledge gaps

Source: C.P. Hudson. Bulletin of the World Health Organization, 2001, 79 (1)

100%

50%

35%

30%

6%

4%

3%

1%

All womenwomen with sexually transmitted disease/reproductive tract infection

Symptomatic

Seek treatment

Go to heath unit

Treated correctly

Compliant

Treatment effective

Partner treated

!

!

mHealth solutions?

We built friendships, identified new collaborations

and, although this is a fast growing field in global health,

the world feels just a little smaller.

Thanks to BSRS 2010, the city of Bergen, and

Jørn and Thorkild for making this possible

Owais Uddin Ahmed (Pakistan)Ashar Alam (Pakistan)

William Avilés Monterrey (Nicaragua)Matthew Berg (USA)Hugh Cameron (USA)

Lumbwe Chola (Zambia)Andrew Codlin (USA)

Jamil David (India)Nadia Evelyn Garcia Leyva (Perú)

Samsom Gejibo (Ethiopia)Mark Gerard Musoba (Uganda)

Ali Habib (Pakistan)Benyamin Harefa (Indonesia)

Jonny Heggheim (Norway)Julia Irani (Pakistan)

Richard Mayanja (Uganda)Garrett Mehl (USA)

Herbert Mugooda (Uganda)Farzana Naheed (Pakistan)

Arsenio Nhacolo (Mozambique)Claire Pénicaud (France)

Marlise Richter (South Africa)Pablo Rodriguez Martinez (Perú)

Nauman Safdar (Pakistan)John Wesonga (Kenya)

Heather Zornetzer (USA)