impact team network: a case in kenya

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IMPACT TEAM NETWORK: A CASE IN KENYA UNLOCKING BOTTLENECKS IN PUBLIC HEALTH SUPPLY CHAINS THROUGH DATA DASHBOARDS AND ENHANCED GOVERNANCE STRUCTURES Bloomberg Data for Good Exchange Presented by Cary Spisak

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Page 1: IMPACT Team Network: A Case in Kenya

IMPACT TEAM NETWORK: A CASE IN KENYA UNLOCKING BOTTLENECKS IN PUBLIC HEALTH SUPPLY

CHAINS THROUGH DATA DASHBOARDS AND ENHANCED

GOVERNANCE STRUCTURES

Bloomberg Data for Good Exchange

Presented by Cary Spisak

Page 2: IMPACT Team Network: A Case in Kenya

HELPING PATIENTS IN NEED

Public health programs are reliant

on well-performing supply chains to

deliver life saving commodities to

patients in need

Page 3: IMPACT Team Network: A Case in Kenya

OUR GOAL

To improve the performance and efficiency

of contraceptive, vaccine, and essential

medicine supply chains by increasing the

effective use of data and introducing

management best practices to strengthen

system outcomes.

Page 4: IMPACT Team Network: A Case in Kenya

INSUPPLY PROJECT

• Two years – funded by The Bill & Melinda Gates

foundation

• Six components linked by cross-cutting themes: • Improving data visibility, analytics and use

• Innovation at the last mile

• Local, regional capacity building, stewardship

Page 5: IMPACT Team Network: A Case in Kenya

IMPACT TEAM NET WORK

Leadership Network IMPACT Teams

Build dynamic leaders within a

supply chain who are motivated and

possess the competency required to

fulfill essential supply chain

functions, who are empowered to

make decisions and act as change

agents.

Provide a structured approach for

using data, create a culture of team

responsibility for problem solving

and taking actions to improve

performance, and motivate staff to

make changes.

Page 6: IMPACT Team Network: A Case in Kenya

KENYA: D ISRUPTION IN HEALTH SUPPLIES

Status of Public Health Kenya has seen significant progress in its health indicators in recent decades,

but challenges remain.

Continued high burden of

infectious diseases and emerging

non-communicable

diseases (2014)

Infectious Diseases Maternal Mortality

Maternal mortality rate of

362 per 100,000 live births

(2014)

Infant mortality rate of

37 per 1,000 live births

(2014)

Infant Mortality

Under-five mortality rate of

51 per 1,000 live births

(2014)

Child Mortality

Page 7: IMPACT Team Network: A Case in Kenya

KENYA: D ISRUPTION IN HEALTH SUPPLIES

Political Environment

• In 2010: authority, responsibility, funding for government services

devolved to county level

• Local decision making and management of health system can

address county-specific needs, but…

• It has also disrupted health service delivery and led to

fragmentation of availability of data and of supply chains.

Page 8: IMPACT Team Network: A Case in Kenya

BUILDING STEWARDSHIP

Nairobi

Mombasa

Kwale

Kirinyaga

Isiolo

Kajiado

Nandi

Kakamega

Nyamira

Migori

Establish a Leadership Cohort and IMPACT

Teams nationally, across 10 counties

• Facilitate the leadership cohort to meet (virtually or

in person) routinely

• Support regular national, county IMPACT team

meetings

Power these meetings with data

• Analyze existing data

• Support root cause analysis, prioritize interventions,

develop action plans using IT tools, techniques

Facilitate culture of continuous improvement

Page 9: IMPACT Team Network: A Case in Kenya

ITT DASHBOARD: ACTIONABLE V ISUALS

Relatively high reporting

rates; but spikes with on-time

RR, affecting availability of

data for timely decision

making

On-time Reporting

Page 10: IMPACT Team Network: A Case in Kenya

ITT DASHBOARD: ACTIONABLE V ISUALS

Filtering by sub-county

enables managers to

identify which counties

are driving the delays and

where to focus follow up

action

Drill Down

Page 11: IMPACT Team Network: A Case in Kenya

ITT DASHBOARD RESULTS

Color Coding

Color coding immediately

identifies where challenges

and opportunities for

redistribution exist

Page 12: IMPACT Team Network: A Case in Kenya

IMPACT NET WORK SITES

$63m

Over a seven month period, IMPACT team districts’ stock out rates

for 17 products were lower than non-IMPACT team districts

Monitoring Data : MYANMAR

IMPACT teams have

demonstrated

significant increases

in product availability

or reduction in stock

outs in all programs

with which JSI has

partnered.

The range of stock out rates in IMPACT team districts are significantly

lower than in non-IMPACT team districts

Pilot Results: MALAWI

Non-IMPACT Network Sites 38%

24% IMPACT Network Sites

Non-IMPACT Network Sites 10 - 21%

5-7% IMPACT Network Sites

Page 13: IMPACT Team Network: A Case in Kenya

CHALLENGES & LESSONS LEARNED

• Existing available data rarely used for decision making

• Lack of coordination between national, county levels

• Lack of process ownership

• High staff turnover in counties

• County leadership eager to learn and apply data analytics and visualization

techniques

• Strong leadership skills needed for implementation and sustaining momentum

• IMPACT teams need mentorship to develop a culture of continuous quality

improvement

• Practical competency development for the inSupply team

Page 14: IMPACT Team Network: A Case in Kenya

For more information about

JSI’s work in supply chain, data

visibility, and data use, contact the

JSI Center for Health Logistics

[email protected] Follow @jsihealth

[email protected]

www.insupply.jsi.com

Twitter: @inSupplyJSI

Newsletter: [email protected]