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Page 1: Labrique global health v4
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Alain B. Labrique, PhD, MHS, MS

DirectorJHU Global mHealth Initiative (JHU-GmI)

Associate ProfessorProgram in Global Disease Epidemiology and Control

Dept. of International Health & Dept. of Epidemiology (jt)

Johns Hopkins Bloomberg School of Public Health

JHU School of Nursing

JHU School of Medicine (Health Informatics)

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Maternal Mortality 2010, Worldmapper.org

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Euclidean map of 10 million of the 850 million

Facebook users friend networks© Paul Butler, FB

Mobile – Social Networks : New Frontiers for Global Health

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6.8 BILLION MOBILE-CELLULAR SUBSCRIPTIONS

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Untethered, yet connected: Diverse applications of ubiquitous

wireless and mobile technologies

designed to improve and

enhance health research, health services

delivery and health outcomes

mHealth

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mHealth:The Four C’s

Harnessing ubiquitous information

and communication technology to

collect data, connect individuals to

each other and to information,

compress time and create

opportunities to intervene.

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Global “mHealth” is a complex, diverse

development space, and is not homogenous.

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jhumhealth.org

133 mHealth Projects at JHU, as of September 2014

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“JiVitA” Maternal and Child Health Research Project

(WWW.JIVITA.ORG)

Public Health, Maternal and Child Health

and Nutrition Efficacy Research

to

Improve Health and Save Lives in

Bangladesh, South Asia and Globally.

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RANGPUR

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Rural families use mobile phones

during severe pregnancy crisesN=11,451 (2007-2010)

Source: Labrique, mHealth Summit, Washington DC, 2011

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168,231 Woman Survey –Gaibandha, Bangladesh

(January-March 2012)

• 71% Households own phones

• 20% Used a phone in past 30 days for

emergency health purpose

• Phone owners 2.8 times more likely to

use phone for health call

• ONLY 23% Electricity in home!

Labrique et al., Unpublished data, mHealth Summit 2012

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0.2

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f M

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ile P

ho

ne

Ow

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rship

2008 2009 2010 2011 2012

Year

Lowest Quartile WI (n=17,176) Low Quartile WI (n=19,789)

High Quartile WI (n=6,472) Highest Quartile WI (n=1,032)

Mobile Phone Ownership by WI over Time

Household Mobile Phone Ownership over time in rural Bangladesh, by “Wealth Index” (n=44,469)

Labrique, Tran et al, 2013 (in press)

Pro

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Mo

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Challenges in averting neonatal mortality –

being at the right place, at the right time…

•1st Day – 50% of deaths

•1st Week – 75% of deaths

Source: Lawn JE et al Lancet 2005, Based on analysis of 47 DHS datasets (1995-2003), 10,048 neonatal deaths)

“Hot Zone”

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m-Labor

Notification

System

Pilot Study

Source: Gernand, JiVitA Data 2011

(Unpublished)

306 (88.9%)

Births Attended

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Tremendous time and effort is invested in manual data collection, aggregation and reporting.

Example: Bangladesh CHW’s 19 ledgers contain 473

unique data fields.

Only 60 fields are unique, required for a digital system

to process the same information.

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Census Enumeration

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Smart Scheduling of Daily Activities, by Priority

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Assessing pregnancy status

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2.5 minutes saved for a SINGLE task resulted in ~13 FTEs over a district.

X X /60=

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mCARE: Integrated Community-Health Worker System to ImproveAntenatal & Postnatal Care and Increase Client Demand

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Allow clients to report data to the system

Try it:

Text / SMS “birth” to

1(443) 393-2228

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25.2

65.8

74.8

34.2

Non-interventiongroup (n=135)

Intervention group(n=193)

June 2014 - Preliminary Results:Antenatal Care Utilization

Received Not-received

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mTikka: Virtual Vaccine Registry and Immunization Improvement System

Partners:

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Birth notification Reminder for upcoming vaccination

EPI camp open notification

Up-to-date vaccination record

Timely availability of performance indicators

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GoB National Health

Information System

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Emerging “Lessons”

• User-centered / User-engaged design

• Extensive formative research & workflow mapping

• Iterative technical deployment and stabilization

• Early government and community engagement

• Mixed-methods evaluation

• Plan for technical failures / build-in system

redundancy

• “Control” systems to prevent & monitor misuse

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mHealth doesn’t work in a Vacuum

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PROVIDERHEALTHSYSTEM

PATIENTAccess to information

Behavior changeActivity MonitoringSelf-reported Data

Workflow managementDecision Support

Surveillance and TrackingRemuneration / Incentives

Workforce monitoringReal-time Data Streams

Supply-chain management

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Providing families access to timely information

“If you have any bleeding during this month, seek medical attention right away”

Expectant women/ new mothers sign

up for service

Users receive health-related

messages weekly

“Freemium” model to drive coverage

“Your baby needs an immunization this week

to stay healthy: Available free at all

EPI clinics”

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Photo: Text to Change

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Healthcare Worker Communication and Training

• Data collection and communication tools

• Multimedia courses and lectures• mLearning on Demand• Interactive Quizzes

www.emocha.org

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Project Mwana: SMS to reduce Infant HIV PCR

Turnaround Time (46%)

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Amader Gram (Our Village) Breast Care

• Educate• Identify• Refer• Track

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SmartRegister.org

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Emphasis on user-focused design to facilitate FHW utilization and feedback.

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Nutrition (6) >

Integrate workforce and client training as part of the exposures

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New frontiers!

• US FDA Approved• 2-lead ECG

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New frontiers!

Remote, Point-of-care Diagnostic tools

Breslauer D., et al. 2009 Mobile Phone Based Clinical Microscopy for Global Health Applications. PLoS ONE 4(7): e6320

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Mobile-based Flow Cytometry

Ozcan Research Group (Nano-Bio Photonics / UCLA): Optical imaging techniques for point-of-care diagnosticsHongying Zhu , Serhan O. Isikman , Onur Mudanyali , Alon Greenbaum and Aydogan Ozcan Lab Chip, 2012, Advance Article

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62

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Agriculture

Health

Money

Research

m

Information

Social Networks

Entertainment

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New paradigms for health data collection

Blood chemistry

Urinalysis

+

Medication adherence

Vital signs

Movement, activity

ECG

Body weight, mass

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The Gartner “Hype” Cycle

Fenn J, Maskino M: When to Leap on the Hype Cycle. Gartner Group 2008.

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“Pilotitis”

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Healthy mSkepticism

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The Bellagio eHealth Evaluation Declaration 2011

“Rigorous evaluation of e- & m-Health is necessary to generate useful evidence and

promote the appropriate integration of technologies to

improve health and reduce inequalities.”

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Bellagio Call to Action 2011

If used improperly, eHealth may divert

valuable resources and even cause

harm… implementation must be

guided by evidence…

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“mHealth tools and interventions must be backed up by rigorous scientific development, evaluation, and evidence generation to enhance meaningful innovation and best practices, and to validate tools and methods for health professionals, consumers, payers, governments, and industry.”

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Why “Evidence” ?

1. Health investments in global health are driven by more than market forces

2. Limited resources = Need for stringent, cost-effectiveness based planning

3. Two decades of Emphasis on EBD !

4. Donors: Increased transparency / scrutiny

5. Population-side demand for improved quality

6. e-Health / ICT induced political fatigue

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Evidence for whom ?

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Is there evidence ? Who is asking the question ?

Improving the Evidence for Mobile Health, 2011

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Evidence of what ?

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“Maturity” of the mHealth Project

Am

ou

nt

of

Info

rmat

ion

(R

ED)

Threshold of “Information”

Stability Functionality Useability Efficacy Effectiveness

Methodology

Systems Engineering Qualitative Quantitative Mixed Q/Q / M&E

“Evidence” Across The mHealth Maturity Lifecycle

OF WHAT ?

MEASURED HOW ?

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mHealth Technical Evidence Review Group for RMNCH

“m-TERG”

“Providing governments and implementing agencies

objective, evidence-based guidance for the

selection and scale of mHealth strategies

across the reproductive, maternal,

newborn and child health continuum”

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INTERVENTIONOF KNOWN

EFFICACY

EFFECTIVECOVERAGE

mHEALTH: A Health Systems Catalyst

Jo Y, Labrique AB et al. PLOS One 2014

Shift focus from “Does mHealth work?” to “Does mHealth optimize what we know works ?”

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Need for Structure

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Step 1: Develop a common vocabulary

Help us as innovators, researchers, funders talk about mHealth…

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A Taxonomy for mHealth

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What is the problem we’re trying to solve ?

AVAILABILITY

4.2.1 Supply of commodities

4.2.2 Supply of services

4.2.3 Supply of equipment

4.2.4 Diversity of treatment options

INFORMATION

4.1.1 Lack of population

enumeration

4.1.2 Delayed reporting of

events

4.1.3 Quality/unreliability of

data

4.1.4 Communication

roadblocks

4.1.5 Access to information or

data

COST

4.7.1 Expenses related to

commodity production

4.7.2 Expenses related to

commodity supply

4.7.3 Expenses related to

commodity disbursement

4.7.4 Expenses related to service

delivery

4.7.5 Client-side expenses

UTILIZATION

4.5.4 Loss to follow up

4.5.1 Demand for services

4.5.2 Geographic inaccessibility

4.5.3 Low adherence to treatments

ACCEPTABILITY

4.4.3 Stigma

4.4.1 Alignment with local norms

4.4.2 Addressing individual beliefs

and practices

EFFICIENCY

4.6.1 Workflow management

4.6.2 Effective resource allocation

4.6.5 Timeliness of care

4.6.3 Unnecessary referrals/

transportation

4.6.4 Planning and coordination

QUALITY

4.3.1 Quality of care

4.3.3 Quality of Commodity

4.3.4 Health worker

motivation

4.3.2 Health worker

competence

4.3.6 Supportive supervision

4.3.5 Continuity of care

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mHealth Strategy Intermediate Outcome Outcome / Impact

Provider Competence,

Accountability,

Effectiveness.

Client Knowledge

and Self-Efficacy

Improved

Health Outcomes

Improved

Quality

of Care

Improved

Health

Behaviors

Disease Surveillance

Electronic Medical Records

Remote Monitoring

Logistics monitoring and tracking

Decision Support Systems

Point-of-care Diagnostics

Appointment Scheduling

Client reporting of quality / performance

On-Demand Training / Assessment

Client Education

On-demand Information / Helplines

Supply Chain Integrity

Accuracy of Information

Continuity of Care

Affordability of Care

Financing (Banking, Insurance)

Enhanced Counseling

Improved

Efficiency /

Coverage

Vital Statistics ReportingImproved

Population

Health

Real-time Data Access / PHRC

LIE

NT

PR

OV

IDE

R

H

EA

LT

H S

YS

TE

M

Remote Consultation

Improved Dem. / Hlth. Data

Appropriate Resource Alloc.

Policy Adjustments

Workflow Management Systems

Responsive

Health System

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Is your “mHealth” the same as my “mHealth” ?

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Why a mHealth and ICT Framework for RMNCH?

•Allows focus on health systems strategy of the mHealth innovation, not just the technology.

•Provides projects with a communication tool when talking with different stakeholders, including governments about what mHealth offers.

•Allows identification of uniqueness, commonalities and gaps across multiple mHealth projects through the use of a consistent and health systems-focused vocabulary.

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12 Common mHealth Applications

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RMNCH Continuum:

Known Interventions

mHealth Strategy: …overcoming

these constraints:

Touching these

“actors” in the

system:

Labrique, Mehl, Vasudevan et al. 2013 (MS in Review)

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Labrique, Mehl, Vasudevan et al. 2013 (MS in Review)

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Step 2: Develop repositories of m-evidence and m-activities

Help to identify, collate and grade the quality of information on mHealth

strategies

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What do we know ? What has been tried ?

mHealthEvidence.org / mHealthKnowledge.org

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Helping to Consolidate efforts Globally

And other partners…

MREGISTRY.ORGA Global mHealth Project Registry

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Step 3: Facilitate the review and synthesis of evidence

Help to understand when sufficient information exists to recommend

mHealth as part of the standard of care

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What kind of evidence ?

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mTERG Criteria for Grading mHealth Information Quality

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Step 4: Create tools to help with structured evaluation, common

indicators moving forward

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Develop Common Indicators and Measurement Standards for mHealth Projects

Agarwal et al. mHS 2013

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Evidence Prioritization Summary

mHealth strategies likely to demonstrate:

• improved client access to information• enhanced traditional methods of counseling and BCC• bolstered client adherence to medication, and attendance to

scheduled appointments• shortened turnaround time for performance data submission• improved workforce scheduling, monitoring and accountability• improved workforce training and continued education• supported caregivers through decision support tools• strengthened commodities supply chains and reduce risk of

stockouts• created shorter feedback loops for systemic response

“mHealth Extends REACH, Creates CONVENIENCE, Shortens INFORMATION lag, and Facilitates TARGETTED CARE when and where its needed.”

mTERG

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Where can we have the most impact ?

Mehl G, Labrique AB. Science Sept. 2014.

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An Ecosystem of mTools for

Cross-Sectoral Development exists!

“m” – spans Health, Agriculture, Education,

Politics, Finance, Data Collection

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Eras of mHealth

I

Innovation and Experimentation

II

Discordant Proliferation

III

Scrutiny and Consolidation

IV

Integration and Scale

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Degree to which the mHealth strategy changes the status quo

INCREMENTAL CHANGE DISRUPTIVE INNOVATION

DIF

FIC

ULT

Y O

F SC

ALI

NG

CO

MP

LEX

ITY

OF

ENG

AG

ED E

CO

SYST

EM

INST

ITU

TIO

NA

L /

HEA

LTH

SYS

TEM

INER

TIA

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Challenges- Tentative funding for pilots and

demonstrations, limited investment in

scale

- Rapidly growing, complex ecosystem

with new non-health actors

- Duplicative efforts, lack of

interoperability

- Siloes of innovation, without clear

pathways to integration

- Economic evaluations of mHealth

interventions are lacking

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• For scale-up / Mainstreaming of mHealth, we need to:

• …Reach BEYOND the “converted”Speak the language of HEALTH decision-makers

• …STOP taking shortcuts – measuring attributable impact or cost is not an afterthought, an inexpensive or easy task.

• …SUPPORT a high threshold of information quality, establishing new methods where appropriate, but aligning claims with data.

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Two last thoughts

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A phone… as a phone !

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From this…

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To this ?

More data is not better

information.

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Draw inspiration from Botswana and Bangladesh to Brussels and Baltimore to

understand what is m…… POSSIBLE

Thank you.

http://tinyurl.com/mpossible-video

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Mobiles ?

[email protected] / @gmail.com

alabriqu jhumhealth

www.jhumhealth.org

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Follow a robust process

USERS

• Identify Users

•Define Target Population

ROLES

•Define Roles

•Map Workflow / Scheduling rules

DATA

•Map Data “Universe”

•Deconstruct data elements

OPTIMIZE

•Assess Data Efficiency

• Identify opportunities for Optimization

DESIGN

•End User Engagement

•User-Acceptability / Functionality

BUILD

•Program, Deploy, Test

•Evaluate

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UN IWG mHealth Catalytic Grantee Projects

[email protected]

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Other Tools: Balsamiq.com

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Other Tools: Captricity