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Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho ([email protected]) PhD Student, School of Information “Global Development in Action” Student Symposium Thursday, October 4, 2007 Blum Center for Developing Economies, UC Berkeley
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Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho ([email protected]) PhD Student, School of Information.

Dec 18, 2015

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Page 1: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Smartphones and Information Management for Rural Health Care Clinics in

Africa

Melissa Ho ([email protected])

PhD Student, School of Information

“Global Development in Action” Student Symposium

Thursday, October 4, 2007

Blum Center for Developing Economies, UC Berkeley

Page 2: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Moving right along…

A quick overview of the context Communications Infrastructure Healthcare Information Practices What is a smartphone?

Research Framework Findings on the Ground

Framing the Context Learning from Experience Proposing Solutions

Page 3: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

CIA World Factbook

Population: 30,262,610 Infant Mortality Rate:

total: 67.22 deaths/1,000 live births

HIV/AIDS prevalence: 4.1%

Landlines: 108,100 (2006)

Mobiles: 2.009 million (2006)

Page 4: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Communications Context

Image composed from coverage mapsavailable on gsmworld.com

InternetInfrastructure

Mobile GSM Coverage

Map courtesy Eric Osiakwan Africa ISP Association

Page 5: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

NakasekeDistrict Hospital

Semuto HCIV

HCIII HCIII

HCII HCII

Ngoma HCIV

HCIII

HCII

HCIII

HCII

Decentralized Healthcare

Tasks Inventory Referrals Statistics

Obstacles Roads Staffing Power Finances

Page 6: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Output-based Aid (OBA) Voucher Program Subsidized voucher for treatment of sexually

transmitted infections (STIs) with modified syndromic and lab diagnostics

brand price per voucher

barcode sticker partner

or client

Page 7: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Marie Stopes International Uganda (MSI-U) & Microcare Insurance Ltd.

Community distributors(44 at start)

Clients(+350 per month)

Clinics(16 at start)

Submit claims

Pay service provider

Sell vouchers

Submit voucher to provider

Send vouchers

Record voucher

sales data

Provide STI diagnosis and

treatment Paycash

avg 30 days

max 60 days

avg 15 days

max 45 days

Page 8: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Smart Phones

Electronic hand-held device Functions as a mobile phone Provides internet access Has built-in keyboard Additional capabilities:

E-mail Word processing and

spreadsheets GPS

Custom programs can be installed

Page 9: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Why Phones in Rural Areas ?

Already widely prevalent in developing regions Usage familiar to rural users Powerful enough to be used for computing resources,

rather than just communication – so possible PC replacement for vertical tasks

Suitable for rural areas: low power, robust, cheaper, lower operating cost, use existing networks

Integrated features: camera, GPS, audio Appropriate for use across multiple households

Page 10: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Rural Data Collection Problems

Data frequently missing or incorrect or contradictory. E.g. sex is male but pregnant is yes on health form – very hard to validate after the fact

Forms are very long and frequently incompletely filled – questions are not prioritized if partially filled

Data collected not rich enough – no audio, pictures, GPS without specialized hardware (and also not integrated)

Page 11: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

What Can Smartphones Offer ? (1)

Immediate Validation Correct data upon entry, and also crosscheck with other fields if

dependencies exist

Dynamic Forms Reduce burden on health worker by asking only relevant

question based on previous answers, thus reducing chances of errors

Also makes partially filled forms more useful

Richer Data collection Photos, audio input, GPS (entire medical record possible)

Page 12: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

What Can Smartphones Offer ? (2)

Auditability Audio samples can be used to double-check responses

Transparency Generating reports of and viewing system-wide statistics and data

Operation in disconnected areas Use only for computation, communication not necessary for collecting

data on the field

Synchronization of data When connectivity is available, upload to central server over the

cellphone network either through multiple SMSes, or data packets over GPRS, eVDO, etc.

Page 13: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Expected Results

Increased data accuracy Improved data timeliness Reduction of burden on healthworkers Reduction of the number of times surveyors

have to be re-sent back into the field to redo surveys because of errors

Better organization of data

Page 14: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Framing the questions

Be reflexive - question what you think you know and ask open-ended questions

Observe - find out about their current practices

Page 15: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Identifying Pain Points

What are the current processes? What do health workers do on a day to day basis? What are the data collection and information management practices?

Who are the key players? Is there a local “champion” and local collaborators? Who is using health information?

What infrastructure is available? Do the health workers have fixed line or mobile phones? How do they communicate with their superiors and subordinates? How is information relayed using current infrastructure? What communications infrastructure is available but not being leveraged?

Metrics What metrics are important to the community? How do they currently evaluate their own successes?

Page 16: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

MOHUHIN

(Kampala)

UHIN Deployment(Rakai District)

OBA Uganda(Mbarara District)

Health Centers(Nakaseke District)

Health Clinic Visits

Page 17: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Framing the Context: Nakaseke

Infrastructure

Health Centers

Data Reporting

Mobile Phone Usage

Page 18: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Poor road infrastructure makes it difficult (and expensive) to travel between the health clinics and the hospital

Page 19: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Hospitals and upper-level health centers often have co-located water pumps for the community

Page 20: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Public health campaigns are carried out through radio and posters like these

Page 21: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

HCIV

Page 22: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

HCIII

Page 23: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

HCII

Page 24: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

The Ministry of Health mandates monthly and weekly reporting of outpatient statistics

Page 25: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

This district hospital keeps all of the HMIS forms from each of the health centers in its district here

Page 26: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Creating the reports…

Data is collated from hand-written patient ledgers (sometimes exercise books)

Forms are completed in triplicate

Submitted within 3 days of the end of the month

Hand delivered to the District hospital

Page 27: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

One particular health center was very conscientious about recording data and producing graphs to visualize trends

Page 28: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Aggregating Data

Page 29: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Mobile phone use in HCs

Every health center has at least one

personal mobile phone

Innovative charging solutions

Current Uses

Emergency reporting

Submitting weekly HMIS forms

Checking salary and drug order status

Requesting transportation

Clinical consultations

securityairtime

network coverage

Page 30: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Choosing a smartphone…

Page 31: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Learning from Others: Healthnet

Reference: Uganda Health Information Network IDRC Report, 2004 (http://www.healthnet.org/idrcreport.html)

Page 32: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

A project champion

Page 33: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Report Generation

Page 34: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Paper and Digital Data

Page 35: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

“Sometimes I use it as a torch”

Page 36: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Power Issues

Power shortage

Accessibility of relay points

Ownership

Existing Hierarchies

Duplicate Tasking

Page 37: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Appropriatable Technology

Page 38: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

NakasekeDistrict Hospital

Semuto HCIV

HCIII HCIII

HCII HCII

Ngoma HCIV

HCIII

HCII

HCIII

HCII

smartphone

smartphone + pdas

MoH

computers + broadband

computer + smartphone

or paper

Lessons Learned

Page 39: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Marie Stopes International Uganda (MSI-U) & Microcare Insurance Ltd.

Community distributors(44 at start)

Clients(+350 per month)

Clinics(16 at start)

Submit claims

Pay service provider

Sell vouchers

Submit voucher to provider

Send vouchers

Record voucher

sales data

Provide STI diagnosis and

treatment Paycash

avg 30 days

max 60 days

avg 15 days

max 45 days

Page 40: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Structured Facility Survey

Conducted by Richard Lowe as part of a separate evaluation project

Providers vary greatly:Facility+Infrastructure DifferencesNumber of ClientsDistance from Mbarara

Page 41: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Part of the process

11/12 Complete claims forms during patient consultation

Timely processing7 days: 2/1214-15 days: 7/1230 days: 2/12

4/12 have computer training

12/12 own a mobile phone

Page 42: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Struggling to Participate

Providers travel up to 3.5 hours to submit claim forms

Fewer clients --> Infrequent Submission

6/12 providers claim that delays in payment interferes with ability to serve patients

4/12 don’t know how many claims have been rejected. 3 have not gotten feedback

Page 43: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Paper vs Digital

Paper is a powerless backup

Authentication using physical artifacts

Flexibility

client

fingerprint

voucherbarcode

clinicstamp

signatures

Page 44: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Open Questions

Pushing verification to the client Eliminate simple errors Biometrics (e.g. fingerprint, photo) ?

Paper and Digital Is there a low cost printing solution? Can we make the digital process advantageous for all parties?

Training and Usability Power Privacy and Information Security Sustainability, Scalability

Page 45: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Execution

Co-design and Co-deploy Local collaboration is key to the sustainability and appropriate

design of the system Collaborating with Mbarara University to integrate solar power into

health centers Development

Leverage computer scientists at Mbarara and Makarere Develop SmartForms in collaboration with people who will be using

them: records officers, nursing assistants, in-charges Training

Develop training plan and information practices with local stakeholders

Specialized training for key Handoff of Maintenance integrated early in the project

Page 46: Smartphones and Information Management for Rural Health Care Clinics in Africa Melissa Ho (mho@ischool.berkeley.edu) PhD Student, School of Information.

Acknowledgements

Thanks to all of the Blum East Africa Fellows, especially Katrina, Mallory, Simon, and Admas for letting me observe and participate in their project

Thanks to Professors Kristi Raube, Sandra Dratler, and Eric Brewer for faciliating this research

Thanks to Ben Bellows, Richard Lowe, Francis Somerwell, and all others at MSIU and Microcare

Thanks to the Blum Center for Developing Regions for inviting me to speak and financing this research