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Benchmarking surgical systems 2015-30:
application of indicators from The Lancet
Commission on Global Surgery for an Indicator-
based, near real-time capacity building index
Jonathan Meadows, MS, MPH, CPH
Osteopathic Medical Student, 2nd Year
Touro College of Osteopathic Medicine New York
Kelly K.A. McQueen, MD, MPH
Professor, Department of Anesthesiology & Surgery
Director, Vanderbilt Anesthesia Global Health & Development
Director, Vanderbilt Global Anesthesia Fellowship
Department of Anesthesiology
Vanderbilt University Medical Center
President, Global Surgical Consortium
Introduction
Introduction
• Purpose
– Developed an country-level index
• Incorporate Lancet Commission Indicators
• Incorporate useful traditional global health indicators
• Establish indicators thresholds/goals
– Generate database (available data)
– Generate hypothetical index score using points
Methods
• Indicators
– Lancet Commission on Global
Surgery’s Global Surgery 2030:
Indicators Policy Brief
– Traditional high-impact global
health indicators
• Recorded  Excel for Mac 2011
(Microsoft, Redmond, WA).
• Available Public Data Importation
– Low income country: World Bank
classification
– Global data repositories
• World Bank data
• WHO Global Health Observatory
• WHO Global Health Expenditure
Database
– Academic Literature for missing
values; manual entry
Methods
• Point assignment
– Quintiles; 1 point per division
– Max 5 points upon meeting threshold/goal target
– Ideal target (threshold): most indicators
• Lancet Commission
• WHO Recommendations
• Academic Literature
– Excel function equations
• Basic descriptive statistics
– Range
– Mean
Results

Results
Analysis:
Descriptive Stats
Null categories excluded/
Reported data only
Null categories included/
All indicators
0
10
20
30
40
50
60
70
80
90
100
PercentageofIndicator-BasedPoints
Low Income Countries (LICs)
Country-Level Index of Surgical Capacity Indicators
(Only Reported Data)
Analysis
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Percentage
Country-level Indicator
Data Reported per Indicator & Data Reporting Gap
DataReportedPercentage DataCollectionGapPercentage
Analysis
Discussion
• Uses
• Resource allocation
Discussion
• Uses
• Policy, planning
• Monitoring and
evaluation
• Perioperative
mortality rate
(POMR)
• Important of data
collection
WHO’s Surveillance Officer collecting disease data from
the field hospital
http://www.emro.who.int/pak/pakistan-news/who-
response-to-pakistan-flood-2014.htm l
Discussion
• Limitations
– Assumption variables are equal: capacity, safety,
affordability, and timeliness
– County-to-country differences
– Indicator biases: GGE percentage of THE
– Overestimations: OOP expenses
• Future research
– Triangulating data sources (Field work)
– Expenditure data solely based on household surveys
– Weight/importance/influence of each index variable
– Tool validation: Cape Verde Pilot Program, Summer-Fall
2016
Conclusion
Image1:http://www.gettyimages.com
Image 2: http://www.pbase.com/image/48053102
Image 3: http://thriving.childrenshospital.org
References: provided upon request
Thank you
• Utmost thanks and gratitude
– Dr. Kelly McQueen, MD, MPH
• Primary Investigator & ASIP Internship Mentor
• Associate Professor of Anesthesiology & Surgery
• Division of Ambulatory Anesthesiology
• Director, Vanderbilt Anesthesia Global Health &
Development
• Thank you
– CUGH Abstract Review, Selection Committees & Staff
– All attendees
Benchmarking surgical systems 2015-30:
application of indicators from The Lancet
Commission on Global Surgery for an Indicator-
based, near real-time capacity building index
Jonathan Meadows, MS, MPH, CPH
ionathan.w.meadows@vanderbilt.edu
jwmeadow@gmail.com
C: 813-842-4832

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Benchmarking surgical systems 2015-30: application of indicators from The Lancet Commission on Global Surgery for an Indicatorbased, near real-time capacity building index

  • 1. Benchmarking surgical systems 2015-30: application of indicators from The Lancet Commission on Global Surgery for an Indicator- based, near real-time capacity building index Jonathan Meadows, MS, MPH, CPH Osteopathic Medical Student, 2nd Year Touro College of Osteopathic Medicine New York Kelly K.A. McQueen, MD, MPH Professor, Department of Anesthesiology & Surgery Director, Vanderbilt Anesthesia Global Health & Development Director, Vanderbilt Global Anesthesia Fellowship Department of Anesthesiology Vanderbilt University Medical Center President, Global Surgical Consortium
  • 3. Introduction • Purpose – Developed an country-level index • Incorporate Lancet Commission Indicators • Incorporate useful traditional global health indicators • Establish indicators thresholds/goals – Generate database (available data) – Generate hypothetical index score using points
  • 4. Methods • Indicators – Lancet Commission on Global Surgery’s Global Surgery 2030: Indicators Policy Brief – Traditional high-impact global health indicators • Recorded  Excel for Mac 2011 (Microsoft, Redmond, WA). • Available Public Data Importation – Low income country: World Bank classification – Global data repositories • World Bank data • WHO Global Health Observatory • WHO Global Health Expenditure Database – Academic Literature for missing values; manual entry
  • 5. Methods • Point assignment – Quintiles; 1 point per division – Max 5 points upon meeting threshold/goal target – Ideal target (threshold): most indicators • Lancet Commission • WHO Recommendations • Academic Literature – Excel function equations • Basic descriptive statistics – Range – Mean
  • 8. Analysis: Descriptive Stats Null categories excluded/ Reported data only Null categories included/ All indicators
  • 9. 0 10 20 30 40 50 60 70 80 90 100 PercentageofIndicator-BasedPoints Low Income Countries (LICs) Country-Level Index of Surgical Capacity Indicators (Only Reported Data) Analysis
  • 10. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Percentage Country-level Indicator Data Reported per Indicator & Data Reporting Gap DataReportedPercentage DataCollectionGapPercentage Analysis
  • 12. Discussion • Uses • Policy, planning • Monitoring and evaluation • Perioperative mortality rate (POMR) • Important of data collection WHO’s Surveillance Officer collecting disease data from the field hospital http://www.emro.who.int/pak/pakistan-news/who- response-to-pakistan-flood-2014.htm l
  • 13. Discussion • Limitations – Assumption variables are equal: capacity, safety, affordability, and timeliness – County-to-country differences – Indicator biases: GGE percentage of THE – Overestimations: OOP expenses • Future research – Triangulating data sources (Field work) – Expenditure data solely based on household surveys – Weight/importance/influence of each index variable – Tool validation: Cape Verde Pilot Program, Summer-Fall 2016
  • 14. Conclusion Image1:http://www.gettyimages.com Image 2: http://www.pbase.com/image/48053102 Image 3: http://thriving.childrenshospital.org References: provided upon request
  • 15. Thank you • Utmost thanks and gratitude – Dr. Kelly McQueen, MD, MPH • Primary Investigator & ASIP Internship Mentor • Associate Professor of Anesthesiology & Surgery • Division of Ambulatory Anesthesiology • Director, Vanderbilt Anesthesia Global Health & Development • Thank you – CUGH Abstract Review, Selection Committees & Staff – All attendees
  • 16. Benchmarking surgical systems 2015-30: application of indicators from The Lancet Commission on Global Surgery for an Indicator- based, near real-time capacity building index Jonathan Meadows, MS, MPH, CPH ionathan.w.meadows@vanderbilt.edu jwmeadow@gmail.com C: 813-842-4832