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Proposal writing

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Results. Discussion. Recommendations. 2004. Dr.Hamda Qotba. 3. Stages of research process ... Information related to the study (literature review) Rationale ... – PowerPoint PPT presentation

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Title: Proposal writing


1
Proposal writing
By Dr. Hamda Qotba, B.Med.Sc, M.D, ABCM
2
What are the main components?
  • Title
  • Introduction
  • Rationale
  • Aim
  • Objectives
  • Methodology
  • Results
  • Discussion
  • Recommendations

3
Stages of research process
  • Selecting a problem
  • Formulate hypothesis
  • Reviewing the literature
  • Constructing research design
  • Analysis of data
  • Generating conclusions
  • Writing proposal

4
Basic guidelines
  • Priority health problems
  • Simple, low cost, yield practical results
  • Influence policy, improve services, improvement
    of community health

5
How and what to select?
  • Relevance
  • Avoidance of duplication
  • Feasibility
  • Political acceptability
  • Applicability
  • Interest
  • Theoretical and practical value
  • Time frame

6
Title
  • Subject of study
  • Where?
  • When?

Title
7
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
  • SMART

8
Methodology
  • Detailed like cook book
  • Achieve the objective
  • Follow Islamic teaching and moral ethics

9
Methodology contents
  • Character of sample population
  • Study type
  • Sample size determination
  • Sampling technique
  • Case definition
  • Selection and exclusion criteria
  • Tools and source of data collection
  • Validity and reliability
  • Statistical methods
  • Package and tests
  • Pilot study
  • When, where, and how?
  • Limitations

10
study question
study design
study sample
study variables
pilot study
data collection
data analysis
results and conclusion
11
Research question (FINER)
  • Feasible
  • Adequate number of subject, money
  • Interesting
  • Novel
  • To confirm or refute
    findings
  • Ethical
  • Relevant
  • To clinical or health policy, future research
  • Comparison
  • Risk factor
  • Association

12
Study design
  • Case series
  • Define a problem
  • Survey
  • Describe a population
  • Case- Control
  • Compare cases to controls
  • Cohort
  • Follow exposed subject
  • Randomized Clinical trial
  • Expose and follow

13
Subjects
  • Population of interest
  • Study sample
  • Inclusion criteria
  • Main characteristics of the population
  • Exclusion criteria
  • Individuals that complicate the study

14
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

15
Sampling strategies
  • Cluster sampling
  • Population divided into subgroups and some of
    subgroup randomly selected then sampled
  • Convenience sampling
  • You take what you can get

16
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

17
  • Types of variables
  • Quantitative
  • Continuous (age, blood pres.)
  • Discrete( number of brothers, years)
  • Qualitative
  • Categorical ( blood groups, gender)
  • Ordinal (educational level, stage of disease)

18
Body of research question Association of 2
variable(dep, indep)
Spearman Correlation linear Regression
19
Comparing (difference) variables
Variable
Number of independent variable 2
groups paired data gt2groups
ANOVA
Paired T test
T test
Quantitative Ordinal Categorical
Kruskal wallis
Mann-Whitney
Wilcoxon
McNemar
chi-square
chi-square
When 1 of the cells have lt5 in expected
fischer exact When 1 of the cells have lt5 in
observed yats correction
20
Looking for Risk Factor
Types of variables Dependent several indepen.
Test
Multiple log. Regression
categorical
categorical
quantitative
categorical
ANOVA
Linear, log regression
quantitative
quantitative
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