the pediatric sepsis data colaboratory - kenya paediatric

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J Mark Ansermino The University of British Columbia The Centre International Child Health BCCH Research Institute Digital Health Innovation Lab The Pediatric Sepsis Data CoLaboratory

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Page 1: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

J Mark AnserminoThe University of British Columbia

The Centre International Child Health

BCCH Research Institute

Digital Health Innovation Lab

The Pediatric Sepsis Data CoLaboratory

Page 2: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

Disclosure

• LionsGate Technologies – founder

• Medtronic – contract research

• NeuroWave Systems – consultant, contract

research

• Save the Children - consultant

Page 3: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

Medical data = 30% total

90% in last 2 yearsGigabyte

Terabyte

Petabyte

Exabyte

Zettabyte

Yottabyte

Page 4: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

Precision

Health

● Prediction

● Feedback

● Automation

Page 5: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

Alaris TIVA

Propofol pump

NeuroSENSE

iControl-RP

Alaris TIVA Remifentanil pump

iControl-RP

Page 6: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric
Page 7: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

What is the

Pediatric

Sepsis CoLab?

THE PROBLEM

• Worldwide, 7 million people die every year from sepsis

The majority in low and middle income countries

• Data collection for individual treatment decisions and the safety, quality, and efficiency in health facilities of under-resourced countries is challenging.

THE SOLUTION

• Facilitate partnerships to develop and validate data collection and sharing tools for quality improvements of care for sepsis patients in health facilities worldwide.

An international data sharing network for collaboration to address pediatric sepsis mortality and morbidity.

Page 8: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric
Page 9: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

Patient and Facility Data

Develop tools for relevant, accurate, transferrable data

Mobile and Web Applications

Diagnose, advise, & plan using low-cost technologies

Modelling and Analytics

Aggregate data for better prediction and treatment

Advocacy and Prevention

Improved guidelines and practices on local to global scale

SEPSIS COLAB

FOUR AREAS OF FOCUS

Page 10: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

A Model for Quality Improvement

1. What are we trying to accomplish?

2. How will we know a change is an

improvement?

3. What changes can we make that will

result in improvements?

Page 11: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

Environmental Scan

➢ Hospital Statistics

➢ Service Offered

➢ Operational Flow

➢ Infrastructure

➢ Staffing

➢ ER Equipment

➢ Neonatal Care

➢ Paediatric Medication

➢ Paediatric Equipment

➢ Laboratory

➢ Job Aides

➢ Overall Standards

Page 12: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

Smart Discharges to

Improve Sepsis OutcomesMatthew O Wiens, PhD

Senior Researcher, Center for International Child Health

University of British Columbia

Visiting Researcher, Faculty of Medicine

Mbarara University of Science and Technology

Page 13: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric
Page 14: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

Precision Public Health: Smart

Discharges

Admission n=1307

Discharge n=1242

Post-discharge mortality n=61

AUC = 0.82

Page 15: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

English et al, 2016. JMIR mHealth uHealth;4(1)e16.

Page 16: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

English et al, 2016. JMIR mHealth uHealth;4(1)e16.

Page 17: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

Precision Public Health: Smart Discharges

• Education for mother

• Post-discharge

vulnerability

• Health behavior

• Early recognition

• Early health seeking

• Incentives

• New bed net

• ORS

• Soap

Page 18: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

The Pocket Doc

Building a mHealth Platform Designing for Health Workers

Page 19: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

Predicting admission to hospital (A)

Oxygen saturation

Respiratory rate

Temperature

Cough

Diarrhea

Difficulty breathing

Chest indrawing

Lethargic

Irritable PLoS One. 2015; 11(1): e0147560 https://doi.org/10.1371/journal.pone.0143213

Page 20: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

IPSI Model

Age

Temperature

RR

SpO2

Cough

Difficulty breathing

Chest indrawing

Lethargy

Irritability

Diarrhea

Risk Icon Meaning

≥50% Emergency cases

25-49% Priority cases

<25% Non-urgent cases

PLoS One. 2015; 11(1): e0147560 https://doi.org/10.1371/journal.pone.0143213

Page 21: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

The Pocket Doc

Page 22: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric
Page 23: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric
Page 24: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

Summer 2017

User design

workshops and

building

partnerships

Spring 2018 2019Fall 2018

Usability and

phase II data

collection

Summer 2018Winter 2017

Study protocol

and ethics

applications

Fall 2017

First prototype

complete

Data collection

phase I begins

Partner with

additional

hospital sites

App ready for

usability study

Google Impact Challenge

Runners Up

Google Impact Challenge Timeline

Page 25: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

Questions?

Please join us!

[email protected]

Page 26: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

http://www.thesensorproject.org/

Page 27: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric
Page 28: The Pediatric Sepsis Data CoLaboratory - Kenya Paediatric

Infection is the leading cause of child mortality worldwide

WHO-MCEE estimates for child causes of death, 2000-2015. (https://www.who.int/healthinfo/global_burden_disease/estimates_child_cod_2000_2015/en/)

•More than 5 million children

• Largely due to infection

• Malaria

• Measles

• Pneumonia

• Sepsis