Health Systems Research Course Fees: US$1200 Course Dates: |
Course Outline
- Introduction to HSR
- Major characteristics of research
- Components of health systems
- Types of information needed for decision making
- Purpose, scope and characteristics of HSR
- Criteria for selecting health research problems
- Selecting the research problem
- Research questions
- Analysis and statement of the problem
- Formulating the problem statement
- Review of available literature
- Justification of research problem
- Formulation of research objectives/ hypotheses
- Reasons for writing objectives
- General and specific objectives
- Characteristics of research objectives
- Research hypotheses
- Group work to prepare title of the study research objectives (and questions, and hypothesis of appropriate)
- Research designs (Study types)
- Introduction
- Variables
- Study types; exploratory, descriptive, comparative or analytical, intervention
- Validity and reliability of findings
- Data Management
- Data collection techniques
- Sources of data
- Quantitative and qualitative methods
- Importance of combining different techniques
- Bias in information collection
- Ethical consideration
- Design of research instruments
- Interview guides (questionnaires/ schedules, training manuals, interviewer/ supervisor guides and manuals)
- Interview skills
- Focus group discussions (themes, training guides, conducting FGDs)
- Sampling
- Introduction
- Sampling procedures
- Sampling methods for qualitative data
- Sampling methods for quantitative data
- Bias in sampling
- Sample size determination
- Plan for data collection
- Introduction
- Stages in data collection process
- Pre-testing study instruments
- Plan for data processing and analysis
- Introduction
- Sorting data
- Performing quality control checks
- Data processing
- Data analysis
- Processing and analysis of qualitative data
- Workplan
- Introduction
- Work scheduling and planning
- The GANTT Chart
- Budget
- Plan for project administration, monitoring and utilization of results
- Administrating research projects
- Project monitoring
- Planning for dissemination
- Finalising and reviewing the research proposal
- Introduction to SPSS
- Creation of variables
- Input of data
- Data cleaning
- Data analysis
- Basic Statistics
- Descriptive statistics
- Measures of central dispersion
- Frequency distribution tables
- Statistical tests (chi square and T-test)
- Interpretation of data
- Descriptive statistics
- Introduction to data analysis
- Methods of data presentation
- Analysis of numerical data
- Analysis of categorical data
- Application of statistical tests of significance
- Field activities