Title: Fundamentals of Operations Research
1Fundamentals of Operations Research
- Data for Action Workshop
- Child Survival Technical Support Project
Susan Adamchak, PhD
Julie Pulerwitz, ScD
2The Horizons Program
- Global HIV/AIDS operations research program to
learn about - Which issues are most relevant to prevent HIV
transmission and mitigation of AIDS impact - What types of interventions work to prevent HIV
and mitigate AIDS - How and why interventions work
- How much do they cost
3The FRONTIERS Program
- Global reproductive health OR program to
- Develop and test innovative solutions to global
and regional RH service delivery problems - Disseminate results to improve policy development
and program management - Enhance sustainability by improving OR capacity
4What is Operations Research?
- OR diagnoses and evaluates problems
- OR compares service delivery approaches for their
impact, cost-effectiveness, quality, and
acceptability
5Operations Research
- A continuous process with 5 steps
- Problem identification and diagnosis
- Strategy selection
- Strategy testing and evaluation
- Information dissemination
- Information utilization
6Key Attributes of OR
- Improves service delivery
- Is innovative, risk-taking, cutting edge
- Serves both managers and researchers
- Fosters problem-solving mentality
- Seeks to ensure policy impact
- Documents impact of program effort
7Goal of OR
- To increase the efficiency, effectiveness, and
quality of services delivered by providers - To increase the availability, accessibility, and
acceptability of services desired by clients
8Categories of OR Studies
- Exploratory or Diagnostic Studies
- Problem isnt known
- Field Intervention Studies
- Program approach not known
- Evaluation Studies
- Impact not known
- Cost-Effectiveness Studies
- Cost and effectiveness not known
9Problem Identification
- Is it an important problem?
- To whom?
- How can the problem can be addressed by the
program? - What health improvements will result from solving
this problem?
10Is the Problem Researchable?
- Do I need to do research to solve the problem?
- Can the problem be corrected by common sense and
experience? - Do I have enough time, money and qualified
persons to do research? - Will decision-makers listen to research results?
- What ethical issues need to be considered?
11Stating an OR Problem
- Describe the problem in terms of health issues
facing the specified population(s) - Describe the nature and extent of the problem
- Identify other program strategies that have been
tried to solve similar problems - Restate the problem as a question to be answered
through research
12Defining Strategic Approaches Implementation
- Describe all components of strategy, resources
needed, implementation plan, and schedule for
activities - Implement activities as perfectly as possible
13Choosing a Strategy to Test Feasibility
- Can the program afford it?
- Can it be easily implemented?
- Will it be effective?
- Is there enough time to test it?
- Do the staff and managers want to test it?
14Choosing a Strategy to Test Utilization
- How will the results be used?
- Who will use the results and how will they know
about it? - Will other programs be interested in the results?
- If proved effective, can it be implemented
routinely? - If proved not to be effective, what will happen?
15Testing a StrategyEvaluation
- Specify cause and effect between desired changes
and strategy - Specify research objectives and hypotheses
- Operationally define key variables
- Create research design to test hypotheses
- Describe sampling plan, data collection methods
and analysis plan
16Monitoring Intervention Studies
- Is the intervention being conducted equally in
all units? - How much variation is there in the independent
variable? - Do groups remain equivalent?
- Are observations collected on schedule?
17Research Hypotheses, Objectives and Variables
What are They and Why are They Important?
18Hypotheses
- A hypothesis is a statement about an expected
causal relationship between independent and
dependent variables that can be tested through
collecting information, i.e., a tentative
answer.
19Causality
- Causality is when one event produces a second
event - Studying causality is essential for making
decisions whether to - Continue an intervention
- Expand an intervention
20Causality Requirements
- A precedes B
- B is present only when A is present
- The intervention is the only difference between a
set of observations or groups
21Examples of Hypotheses
- Contraceptive use will be higher in villages
where the fieldworker is married than in villages
where the fieldworker is unmarried.
22Examples of Hypotheses
- The performance of clinic staff who have received
a five-week, field-based training course will be
higher than the performance of clinic staff who
have received a three-week, classroom-based
training course.
23Objectives
- Ultimate objectives relate reasonable and
expected contributions of the study to broad
social, economic or health concerns (reducing
infant mortality).
24Objectives
- Immediate objectives relate directly to the
research problem situation stated in behavioral
terms (improving prenatal care).
25Independent Variables
- Programmatic factors than can be manipulated
- Strategy being tested
- The cause
26Dependent Variables
- Characteristics we expect to change
- Outcomes and/or impact being measured
- The effect
27Operational Definitions
- How will I know it when I see it?
- A description of how a variable or construct will
be observed and measured (indicator) - A description of how a hypothesis will be proved
or disproved (specifying condition for
significant difference)
28Validity Reliability
- Validity when youre measuring what you think
youre measuring. - Construct vs. content vs. predictive vs. face
- Reliability when answers are consistent across
time and circumstances. - Test-retest vs. internal consistency vs.
inter-rater
29Validity of Measures
- The extent to which a measure actually measures
what it is supposed to measure - Is the measure appropriate for the
variable/construct? - Is the measure accurate?
30Reliability of Measures
- The consistency of a measure from one use to the
next - Will the respondent answer the same question the
same way twice? - Will two interviewers record the same response
the same way twice? - Will the same observer score the same observation
the same way twice? - Will two observers score the same observation the
same way twice?
31Study Designs to TestHypotheses
32Characteristics of an Experimental Design
- COMPARES experimental and control groups
- MANIPULATES intervention
- CONTROLS threats to validity through random
assignment
33True and Quasi-Experimental Designs
- True Experimental
- Uses random assignment
- Protects against threats to validity
- Demonstrates causality
- Quasi-Experimental
- Does not use random assignment
- Open to many threats to validity
- At best, only suggestive of causality
34You Cannot Use an Experimental Design When
- Units cannot be randomly assigned (e.g., ethics,
logistics, politics) - Only 1 unit in sample
- Contamination due to proximity or other exposure
is possible - Situational factors (time, cost) are present
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36Units of Study in OR
- Individuals clients, providers, the general
public - Groups facilities (e.g., clinics), villages,
districts - Note When unit of study is a group, the group
not the individual must be used as the variance
measure.
37Symbols
Experimental Group
Random Assignment of cases to the groups
RA
Control Group
The passage of time
Intervention
X
Observation
O
A single group of subjects
X and O in a row
Between groups not randomly assigned
- - - - - - - - - - - - - - -
38Classic Experimental Design
Time
Experimental Group O1 X O2 Control Group O3 O4
RA
39Pretest-Posttest Non-Equivalent Control Group
Design
Time
Experimental Group O1 X O2 Control Group O3 O4
- - - - - - - - - - - - - -
40Use Of Non-equivalent Control Group Design
- When random assignment is not possible
- When you have no more than two units to assign
(two hospitals, two districts, etc.) - Study units should be matched with a
non-equivalent control group design (I.e., have
similar characteristics)
41Time Series Design
- Repeated measures on the same group over time
- No control or comparison group
Time
Experimental Group O1 O2 O3 X O4
O5 O6
42Use Of Time Series Designs
- Whenever you cannot use a separate control group
(only one facility in the study, etc.) - Evaluate a mass media campaign
43Non-Experimental Designs
- Case Study
- Experimental Group
- X O1
- One Group Pre-test/Post-test
- Experimental Group
- O1 X O2
Time
Time
44Good Design to Study Integrated Services
45Overview of Data Collection Methods
- Quantitative methods describe what people do
(e.g., how many people have ever used ORT). Need
a lot of people for statistical analysis. - Qualitative methods explore why people think and
behave as they do (e.g., why difficult to use
ORT). Need a lot of in-depth information from few
people.
46- Qualitative Quantitative
- Insiders Perspective Outsiders perspective
- Exploratory Confirmatory
- Hypothesis generating Hypothesis confirming
- Words Numbers
- Less structure More structure
- Dynamic Static
- Small sample Large sample
- More depth Less depth
- Purposive Random
- Rich Less rich
47Quantitative Methods
- Surveys
- Face to face or self-administered
- Service or clinic statistics
- Inexpensive to collect
- National statistics (e.g., census)
- Nationally representative
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49Qualitative Methods (1)
- Focus Group Discussions
- group of 8-10 sharing opinions
- requires skilled facilitator to solicit from
everyone - rich information in short period of time
- often reflects social norms, what should be
- Case Studies
- in depth information about 1 example
50Qualitative Methods (2)
- In-Depth Interviews
- Interview guide with topics 45 min to 1 hour
- Requires skilled interviewer to probe, follow
leads - Rich data
- Reflects personal beliefs and experiences
- Mapping, Story Telling, Picture Cards
- Creative techniques
- Alternatives to direct questions
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53Disseminate the Results
- Develop a communications strategy to reach all
stakeholders with appropriate messages - Allow sufficient time, funds and qualified
persons to do a good job - Include a means to evaluate what people did with
the information
54Ensure Results are Used
- Plan a utilization strategy that anticipates what
actions are needed to change the way services are
currently implemented - Allow sufficient time, funds and qualified
persons to do a good job
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56Design Exercise 1
- You want to test alternative ways to provide
post-partum contraceptive services to women. - One alternative is to provide woman with
individual counseling, and to schedule an
appointment to receive contraception later. - A less expensive alternative is to show a group
of women a video and to provide an appointment
form to fill out and return to the receptionist.
57Design Exercise 2
- In the Ministry of Health, many officials feel
that shifting antenatal care from nurses to
nurses aides may lead to less care for pregnant
women and result more negative outcomes of
pregnancies. - Design a study to provide information to the
Ministry officials about the effect of shifting
antenatal care from nurses to nurses aides.
58Design Exercise 3
- Many women in the district use TBAs during their
pregnancy. A recent survey of mothers and
children detected a high number of infant deaths
attributable to tetanus. - Design a study to test whether training TBAs will
lead to increased referrals to health services,
and increase the proportion of women receiving
antenatal tetanus toxoid vaccinations.
59Design Exercise 4
- A PMTCT program provides HIV counseling and
testing, and treatment to prevent the
transmission of HIV from mother to baby. It is
recommended that mothers exclusively breast-feed
or formula-feed, but mixed feeding is common. - Design a study to test whether involving male
partners in PMTCT will increase recommended
breast-feeding practices, and reduce the rates of
MTCT.