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Basim S. Alsaywid
Pediatric Urologist
The Research Process
Research Planning
 Identify knowledge gap to select and to justify the
research problem.
 Transform the problem into clear researchable aims
and research question (formulate the research
question).
 Search for existing information.
 Focus the research question
 Design the study.
The Research Process
 You begin with an observation
 Generate explanations or “Theories”
 Make Predictions “Hypothesis”
 Data processing
 Identify Variables
 Collect data
 Data Analysis
 Data Presentation
Sources of Research Questions
• Health development and promotion depends on
researchers asking the „right‟ questions and identifying
solvable problems.
• Sources:
• Expertise of researchers (professional background):
• Theoretical knowledge
• Practical experience
• Culmination of intensive preliminary observations
• Reading in the library
• Discussion
Where do questions come from?
1. From patient-centered questions in routine clinical
practice:
 Diagnosis
 Etiology
 Prognosis
 Treatment or prevention
2. From new treatment or diagnostic tests.
3. From physician and patient experiences.
Defining a good question
• Importance
• Interest
• Motivation
• Innovation
• Ethical considerations
• Answerability
• Type III error: Asking the wrong question
• Type IV error: Asking a question not worth answering
Formulate an answerable question
1. What is the question?
 Variance questions: Focuses on difference and correlation
(Quantitative, Clinical)
 Process questions: Focuses on how and why things happen
(Qualitative)
2. What is the problem, intervention, comparator, and
outcome?
3. What is the best feasible study type?
What is the question?
TASK
 Think of some of the clinical questions you have asked
recently.
 Write one of these questions down in your own
words…
Example
“What is the role of antibiotics in people who get recurrent
skin infections”
Example
 “What is the role of antibiotics in people who get
recurrent skin infections”
 What is wrong with the way we expressed our
question?
 Too board, not specific.
 Not clear what information is needed.
 Unanswerable.
• To formulate an answerable question we first need to
think . . . . . . .
• What do we really want to know?
• What type of question are we asking?
• Does our question concern background or foreground information?
Background questions
• Questions concerning basic biological processes.
• e.g. What is . . . . .? How does . . . . .?
• Best information source: regularly updated electronic
textbooks
Foreground questions
• Generated in the clinical setting
• Specific and relevant to clinical decision making
• Observational? Frequency? Diagnosis? Aetiology?
Prognosis? Or Intervention?
“What is the role of antibiotics in people who get recurrent
skin infections”
“In people with recurrent skin infections do prophylactic
antibiotics reduce recurrence rates”
• Foreground question
• Intervention
What is the problem, intervention, comparator,
and outcome?
• Problem/Population:
• Who are the relevant patients/population group and what is the
problem.
• Intervention or exposures and comparator:
• What are the treatment / exposure being considered?
• What is the comparator?
• Outcome:
• What are the person-relevant consequences of the exposure
that we are interested in.
What is the problem, intervention, comparator,
and outcome?
 Population
In patients with recurrent skin infection
 Indicator (intervention, test, etc)
Do prophylactic antibiotics
 Comparator
Compared with no treatment
 Outcome
Reduce recurrence rates
The Finer criteria for a good research question
1. Feasible
 Adequate number of patients, adequate expertise and resources.
 Affordable in time and money.
 Manageable in scope.
2. Interesting to the investigator
3. Novel
 Provides new findings
 Extends previous findings
 Confirms previous findings
4. Ethical
5. Relevant
 To scientific knowledge
 To clinical and health policy
 To future research directions
What is the best feasible study type?
Types of Study
1. Observational studies
 Researcher has an observational role
 Researcher does not intervene, leaves nature takes its course
 Researcher role is to record what happens or what happened in
the past.
 “Bread-and-Butter”
2. Experimental studies (Interventional Studies)
 Researcher actively attempts to change something to alter the
disease course.
Observational Studies
1. Descriptive studies:
 Describes the occurrence of disease and exposure.
 Most commonly used
 Look for patterns of disease, to measure the occurrence of
disease, to identify risk factors for disease
 Concerned with the „person, place, and time‟
 Questions  “Who? What? Where? and When? (Not Why?)
 Includes:
○ Case Reports
○ Case Series
Observational Studies
1. Analytical studies:
 Incorporate analysis of association between exposure and disease.
 Involve planned comparisons between people with and without
disease, between people with or without exposures thought to cause
disease.
 Try to answer question “Why”
 Includes:
○ Cohort Studies (follow-up Studies).
○ Case-Control Studies.
○ Cross-sectional Studies.
○ Ecological Studies.
Cross-sectional Studies
• Sample of the subjects in a population are investigated for
outcome and/or exposure.
• Used as a first step in more complex design
• Simple description of disease prevalence (blood pressure,
height, DM)
• Known as: Prevalence Studies
Cross-sectional Studies
Advantages
1. May study several
outcomes and exposure
2. Short Duration
3. Good first step
4. Yield prevalence and
relative association
5. Inexpensive
Disadvantages
1. Does not establish
sequence of events.
2. Survivor bias
3. Not feasible for rare
conditions
4. Does not yield incidence.
Cohort Studies
• Study in which people, who are free of the disease of interest
(outcome) but differ on a certain exposure (study factor), are
followed and the incidence of disease measured.
• Follow – up Studies: follow people over time to see what
happen to them
• Included participants must be free of the outcome of interest.
• Mostly Prospective study
Cohort Studies
Advantages
1. The exposure has
definitely preceded the
outcome (causal
association).
2. Establish Incidence
3. Multiple outcomes
4. Other factors can be
measured
Disadvantages
1. Not efficient for rare
diseases.
2. Expensive
3. Need long time
Case-Control Studies
• The subjects are defined or selected by disease status
(outcome) not by exposure status.
• Choose individuals with the disease or outcome of interest
and a comparison group without the disease (controls,
reference group), and the measure their past exposure to
certain risk factors.
• Retrospective Study
Case-Control Studies
Advantages
1. Ideal for rare cases
2. Short duration
3. Inexpensive
4. Small subjects are
required.
Disadvantages
1. Limited to one outcome variable.
2. Selection bias (cases or controls)
3. Does not establish a sequence of
event
4. Measurement bias
1. recall bias
2. Interviewer bias
5. Survival bias
Intervention studies or experiments
• A study in which the investigator intentionally alters one or
more factors under controlled conditions in order to study the
effect of doing so.
• Includes:
• Randomized Controlled (clinical) trials (RCTs)
• Preventive Trials
• Community Trials

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Introduction to research and developing research idea

  • 3. Research Planning  Identify knowledge gap to select and to justify the research problem.  Transform the problem into clear researchable aims and research question (formulate the research question).  Search for existing information.  Focus the research question  Design the study.
  • 4. The Research Process  You begin with an observation  Generate explanations or “Theories”  Make Predictions “Hypothesis”  Data processing  Identify Variables  Collect data  Data Analysis  Data Presentation
  • 5. Sources of Research Questions • Health development and promotion depends on researchers asking the „right‟ questions and identifying solvable problems. • Sources: • Expertise of researchers (professional background): • Theoretical knowledge • Practical experience • Culmination of intensive preliminary observations • Reading in the library • Discussion
  • 6. Where do questions come from? 1. From patient-centered questions in routine clinical practice:  Diagnosis  Etiology  Prognosis  Treatment or prevention 2. From new treatment or diagnostic tests. 3. From physician and patient experiences.
  • 7. Defining a good question • Importance • Interest • Motivation • Innovation • Ethical considerations • Answerability • Type III error: Asking the wrong question • Type IV error: Asking a question not worth answering
  • 8. Formulate an answerable question 1. What is the question?  Variance questions: Focuses on difference and correlation (Quantitative, Clinical)  Process questions: Focuses on how and why things happen (Qualitative) 2. What is the problem, intervention, comparator, and outcome? 3. What is the best feasible study type?
  • 9. What is the question? TASK  Think of some of the clinical questions you have asked recently.  Write one of these questions down in your own words…
  • 10. Example “What is the role of antibiotics in people who get recurrent skin infections”
  • 11. Example  “What is the role of antibiotics in people who get recurrent skin infections”  What is wrong with the way we expressed our question?  Too board, not specific.  Not clear what information is needed.  Unanswerable.
  • 12. • To formulate an answerable question we first need to think . . . . . . . • What do we really want to know? • What type of question are we asking? • Does our question concern background or foreground information?
  • 13. Background questions • Questions concerning basic biological processes. • e.g. What is . . . . .? How does . . . . .? • Best information source: regularly updated electronic textbooks
  • 14. Foreground questions • Generated in the clinical setting • Specific and relevant to clinical decision making • Observational? Frequency? Diagnosis? Aetiology? Prognosis? Or Intervention?
  • 15. “What is the role of antibiotics in people who get recurrent skin infections” “In people with recurrent skin infections do prophylactic antibiotics reduce recurrence rates” • Foreground question • Intervention
  • 16. What is the problem, intervention, comparator, and outcome? • Problem/Population: • Who are the relevant patients/population group and what is the problem. • Intervention or exposures and comparator: • What are the treatment / exposure being considered? • What is the comparator? • Outcome: • What are the person-relevant consequences of the exposure that we are interested in.
  • 17. What is the problem, intervention, comparator, and outcome?  Population In patients with recurrent skin infection  Indicator (intervention, test, etc) Do prophylactic antibiotics  Comparator Compared with no treatment  Outcome Reduce recurrence rates
  • 18. The Finer criteria for a good research question 1. Feasible  Adequate number of patients, adequate expertise and resources.  Affordable in time and money.  Manageable in scope. 2. Interesting to the investigator 3. Novel  Provides new findings  Extends previous findings  Confirms previous findings 4. Ethical 5. Relevant  To scientific knowledge  To clinical and health policy  To future research directions
  • 19. What is the best feasible study type?
  • 20. Types of Study 1. Observational studies  Researcher has an observational role  Researcher does not intervene, leaves nature takes its course  Researcher role is to record what happens or what happened in the past.  “Bread-and-Butter” 2. Experimental studies (Interventional Studies)  Researcher actively attempts to change something to alter the disease course.
  • 21. Observational Studies 1. Descriptive studies:  Describes the occurrence of disease and exposure.  Most commonly used  Look for patterns of disease, to measure the occurrence of disease, to identify risk factors for disease  Concerned with the „person, place, and time‟  Questions  “Who? What? Where? and When? (Not Why?)  Includes: ○ Case Reports ○ Case Series
  • 22. Observational Studies 1. Analytical studies:  Incorporate analysis of association between exposure and disease.  Involve planned comparisons between people with and without disease, between people with or without exposures thought to cause disease.  Try to answer question “Why”  Includes: ○ Cohort Studies (follow-up Studies). ○ Case-Control Studies. ○ Cross-sectional Studies. ○ Ecological Studies.
  • 23. Cross-sectional Studies • Sample of the subjects in a population are investigated for outcome and/or exposure. • Used as a first step in more complex design • Simple description of disease prevalence (blood pressure, height, DM) • Known as: Prevalence Studies
  • 24. Cross-sectional Studies Advantages 1. May study several outcomes and exposure 2. Short Duration 3. Good first step 4. Yield prevalence and relative association 5. Inexpensive Disadvantages 1. Does not establish sequence of events. 2. Survivor bias 3. Not feasible for rare conditions 4. Does not yield incidence.
  • 25. Cohort Studies • Study in which people, who are free of the disease of interest (outcome) but differ on a certain exposure (study factor), are followed and the incidence of disease measured. • Follow – up Studies: follow people over time to see what happen to them • Included participants must be free of the outcome of interest. • Mostly Prospective study
  • 26. Cohort Studies Advantages 1. The exposure has definitely preceded the outcome (causal association). 2. Establish Incidence 3. Multiple outcomes 4. Other factors can be measured Disadvantages 1. Not efficient for rare diseases. 2. Expensive 3. Need long time
  • 27. Case-Control Studies • The subjects are defined or selected by disease status (outcome) not by exposure status. • Choose individuals with the disease or outcome of interest and a comparison group without the disease (controls, reference group), and the measure their past exposure to certain risk factors. • Retrospective Study
  • 28. Case-Control Studies Advantages 1. Ideal for rare cases 2. Short duration 3. Inexpensive 4. Small subjects are required. Disadvantages 1. Limited to one outcome variable. 2. Selection bias (cases or controls) 3. Does not establish a sequence of event 4. Measurement bias 1. recall bias 2. Interviewer bias 5. Survival bias
  • 29. Intervention studies or experiments • A study in which the investigator intentionally alters one or more factors under controlled conditions in order to study the effect of doing so. • Includes: • Randomized Controlled (clinical) trials (RCTs) • Preventive Trials • Community Trials