Presentation that Matches Heller`s Website

Components of health services
research projects
August 18, 2004
Jose Suaya, MD, MBA, MPH
Schneider Institute for Health Policy,
The Heller School for Social Policy and Management,
Brandeis University
Funder/project name etc info.
Source
• Designing and conducting health
system research projects
• Corlien Varkevisser
• IDRC (Canada) & WHO
Background
• Part of the health system: set of
cultural beliefs about health and
illness that provide the basis for
health seeking and health promoting
behavior
Health system
• 1- The individual, family and
community
• 2- The health care services: public
and private sector
• 3-
Health-related sectors
Health services research
• It is problem oriented:
• Concentrate on those factors that
help to explain/solve a problem
under examination
Types of problems/concerns
• Policy: Role of government/MOH
• Administration and management:
monitoring and evaluation procedures
• Direct services: access, acceptability,
appropriateness, coverage, quality, cost,
effectiveness
• Individual: social/psychological/physical
needs ; families
Stages
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I- Statement of the problem
II- Objectives of the study
III- Methodology
IV- Pilot study
V- Work plan
VI- Administration
VII- Monitoring
VIII- Budget Justification
IX- Deliverables
Stage I: Statement of the problem
• Identification of the problem for
research
• Analysis of the problem
• Formulation of the statement of the
problem
Stage II: Objectives of the study
• Literature Review
• Objectives:
• General
• Specific
• Title of the study
Stage III: Methodology -a
• Selection, definition, and
operationalization of the variables
• Outcome of interest
• Exposure or intervention
• Confounders
Stage III: Methodology -b
Study design
• Non-interventional studies (observational)
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Exploratory
Cross sectional
Follow-up (cohort)
Case control
• Interventional studies
• Experiment
• Quasi-experiment
Goal of the study
• To obtain:
• Valid: true conclusions
• Reliable: same method, same circumstances,
same results
Threats to validity
• Confounders
• History
• Differential loss
• Hawthorne effect
Stage III: Methodology -c
Data collection techniques
• Use of available data
• Observation: watching and recording
behavior
• Interviews
• Written questionnaires
• Focus groups discussions
• Combination of the above
Stage III: Methodology -d
Sampling
• Non Probabilistic
• Convenience
• Quota
• Probabilistic
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Simple random sample
Systematic
Cluster sampling
Multistage
Stage III: Methodology -e
Sample Size
• Desirable
• Expected value (expected proportion)
• Margin error for the estimate
• Precision (e.g. 95%)
• Feasible
• Cases, human, time, money
Stage III: Methodology -f
Data Collection and Data Handling
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•
•
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What
How
By whom
When
Sequence
Quality control
Stage III: Methodology -g
Data Compilation
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•
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Software
Data base development
Coding
Data entry
Verification and Validation
Programming
Stage III: Methodology -h
Data Analysis
• Plan for data analysis
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Univariate
Bivariate
Multivariate
Graphical representation
Stage IV: Pilot Study
• Helps to identify potential problems in
methodology and logistics
Stage V: Workplan
• Workload: tasks, duration, and person
responsible for each of the activities
• Time schedule (Gantt): describe graphically
the order and the duration for each of the
activities
Stage VI: Administration
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•
•
•
Human
Material
Financial
Logistical resources
• Accountability
Stage VII: Monitoring
• Ongoing process of checking implementation
of the project:
• Track of resources used
• Number and quality of tasks completed
Stage VIII: Budget Justification
• Starting from the working plan, identify the
resources needed for each activity and
calculate the unit cost and total cost
Stage IX: Deliverables
• Progress Reports
• Scientific
• Financial
• Final Report/ Publishable Papers