Proposal writing
By Dr. Hamda Qotba, B.Med.Sc, M.D, ABCM
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Dr.Hamda Qotba
2004
What are the main components?
• Title • Introduction
• Rationale • Aim • Objectives
• • • •
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Methodology Results Discussion Recommendations
Dr.Hamda Qotba 2004
Stages of research process
• • • • • • •
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Selecting a problem Formulate hypothesis Reviewing the literature Constructing research design Analysis of data Generating conclusions Writing proposal
Dr.Hamda Qotba 2004
Basic guidelines
• Priority health problems • Simple, low cost, yield practical results • Influence policy, improve services, improvement of community health
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How and what to select?
• • • • • • • •
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Relevance Avoidance of duplication Feasibility Political acceptability Applicability Interest Theoretical and practical value Time frame
Dr.Hamda Qotba 2004
Title
• Subject of study • Where? • When?
Title
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Dr.Hamda Qotba
2004
Introduction
• Define the nature of the problem • Demographic background • Geographic sitting • Community size • Related health services • Information related to the study (literature review) • Rationale (purpose to carry out the study) • Aim (General) • Objectives Dr.Hamda Qotba 2004 • SMART
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Methodology
• Detailed like cook book • Achieve the objective • Follow Islamic teaching and moral ethics
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Dr.Hamda Qotba
2004
Methodology contents
• Character of sample population • Study type • Sample size determination • Sampling technique • Case definition
• Selection and exclusion criteria
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• Tools and source of data collection • Validity and reliability • Statistical methods
• Package and tests
• Pilot study
• When, where, and how?
• Limitations
2004
Dr.Hamda Qotba
study question
study design study sample study variables pilot study data collection data analysis results and conclusion
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Research question (FINER)
• Feasible
–Adequate number of subject, money
• Interesting • Novel
–To confirm or refute findings
• Ethical • Relevant
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•Comparison •Risk factor •Association
–To clinical or health policy, future research Dr.Hamda Qotba
2004
• Case series
• Survey
Study design
• Define a problem • Describe a population
• Case- Control
• Compare cases to controls
• Cohort
• Follow exposed subject
• Randomized Clinical trial
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• Expose and followQotba Dr.Hamda
2004
Subjects
Population of interest
Study sample • Inclusion criteria
• Main characteristics of the population
• Exclusion criteria
• Individuals that complicate the study
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Sampling strategies
• Random sampling
• Every individual has the same chance of
being chosen
• Systematic sampling
• Every Nth individual is chosen
• Stratified sampling
• Population divided into subgroups (strata)
and each subgroup randomly sampled
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Sampling strategies
• Cluster sampling
• Population divided into subgroups and some of subgroup randomly selected then sampled
• Convenience sampling
• You take what you can get
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Dr.Hamda Qotba
2004
How to select appropriate statistical test
• Type of variables
• Quantitative (blood pres.) • Qualitative (gender)
• Type of research question
• Association • Comparison • Risk factor
• Data structure
• Independent • Paired • matched
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Dr.Hamda Qotba
2004
• Types of variables
• Quantitative
»Continuous (age, blood pres.) »Discrete( number of brothers, years)
• Qualitative
»Categorical ( blood groups, gender) »Ordinal (educational level, stage of disease)
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Body of research question Association of 2 variable(dep, indep)
Types of variable Dependent independent categorical categorical
Test
chi-square
categorical
Quantitative Quantitative
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Quantitative categorical Quantitative
Dr.Hamda Qotba
Log. regression
2 out come T test 3+out come ANOVA
Spearman Correlation linear Regression
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Comparing (difference) variables
Variable Number of independent variable 2 groups paired data >2groups
Quantitative Ordinal
T test MannWhitney
Paired T test
Wilcoxon McNemar
ANOVA
Kruskal wallis
chi-square
Categorical chi-square*
* When 1 of the cells have <5 in expected fischer exact When 1 of the cells have <5 in observed yats correction
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Looking for Risk Factor
Types of variables Dependent several indepen. categorical quantitative categorical categorical Test Multiple log. Regression ANOVA
quantitative
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quantitative
Linear, log regression
2004
Dr.Hamda Qotba