Operations Research and Implementation Science Introduction Operations Research Mini-Course July 2012 Stephen Gloyd Professor and Associate Chair Department of Global Health University of Washington.

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Transcript Operations Research and Implementation Science Introduction Operations Research Mini-Course July 2012 Stephen Gloyd Professor and Associate Chair Department of Global Health University of Washington.

Operations Research and
Implementation Science
Introduction
Operations Research Mini-Course
July 2012
Stephen Gloyd
Professor and Associate Chair
Department of Global Health
University of Washington
Background
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Operations research (OR) has been used for decades to
improve the quality, efficiency, and effectiveness of service
delivery strategies throughout the world.
OR integrates research methodology into program
implementation
OR is an important tool to help project managers
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develop and test new service delivery approaches
improve program effectiveness
inform policy decisions.
This aim of this workshop is to improve program managers’
and researchers’ understanding of operations research
theory and methodology.
The course is designed for people involved in STD/HIV
programs, including implementers, evaluators &
researchers.
Learning Objectives
for OR Mini-Course
1. State the similarities and differences between OR and
other types of health-related research
2. Define the basic steps of performing OR
3. List the common types of study design methodologies
that are used in OR, & identify considerations for
choosing an appropriate operational study design
4. Identify features of conducting OR that may make it
more or less successful in changing health systems and
health policy
Operations Research and
Implementation Science
Schedule for the day
Time
9:00 – 9:15
9:15 – 9:45
9:45 – 10:30
10:30 – 10:45
10:45 – 11:30
11:30 – 12:15
12:15 – 1:15
1:15 – 2:00
2:00 – 3:00
3:00 – 3:45
3:45 – 4:00
Session
Welcome and Overview
Introduction to OR/IS
OR/IS Study Methodologies: Stepped Wedge
Break
Using Routine Data for OR/IS
Quality Improvement
Lunch
Qualitative Study Methodologies in OR/IS
Introduction to Optimization Models
OR/IS and Policy Change
Wrap-up and Course Evaluations
Presenter
Steve Gloyd, MD, MPH
Mark Micek, MD, MPH
James Hughes, PhD
Sarah Gimbel, RN, MPH
Christopher Behrens, MD
James Pfeiffer, PhD, MPH
Archis Ghate, PhD
Kenneth Sherr, PhD, MPH
Mark Micek, MD, MPH
Increasing use of HSR/OR/IS
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WHO – grants, HSR conferences, society
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Doris Duke Foundation - OR grants
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PEPFAR -Technical Evaluations, Public
Health Evaluations
NIH/USAID/CDC – Implementation
research FOAs
IAS 2012 – Imp Sci/OR everywhere
Defining research to improve health
systems, Remme et al, PLoS Medicine Nov 2010
Implementation science at the UW
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Operations research in several courses
(Micek, Dept of
Industrial & Systems Engineering)
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CFAR: Health Systems and Strategies Research
(Gloyd-
Micek; 2006-12) - to Implementation Science Working Group
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HIVCore, Project SEARCH (USAID)
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OR at Health Alliance International (HAI) - CIOB
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Implementation science course
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MPH in leadership, policy, and management (Katz)
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PhD in Global Health: Metrics & Implementation Science
(Sherr, Wasserheit – since 2010)
(Institute for Health Metrics and Evaluation and Health Alliance
International)
‘Implementation Science’ in Health
Umbrella concept for rigorous approaches to improving
health care delivery (Gloyd 2009)
Operations
Research
Management,
Leadership &
Quality
Policy
Improve
ment
Critical elements:
Information technology, financing, human
resources, logistics, anthropology, clinical
science
Operations research - HAI/UW model
Problem identification
1.
Frame problem/validate data/indicators
2.
Identify variability in performance (disaggregate!)
3.
Map steps/identify bottlenecks – compare high and low
performers – plus other studies (qualitative or quantitative)
as necessary
Intervention & assessment
4.
Make changes to address bottlenecks
5.
Measure impact of changes
6.
Expand changes, impact policy
Operations research - HAI/UW model
Today’s course
Problem identification
1.
Frame problem/validate data/indicators (Gimbel, Pfeiffer)
2.
Identify variability in performance (disaggregate!) (Micek)
3.
Map steps/identify bottlenecks – compare high and low
performers – plus other studies (qualitative or quantitative)
as necessary (Micek, Gimbel, Pfeiffer)
Intervention & assessment
4.
Make changes to address bottlenecks (Micek, Behrens,Hughes)
5.
Measure impact of changes (Micek, Gimbel, Ghate, Hughes)
6.
Expand changes, impact policy (Sherr)