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Clinical Research Design
Roger Watson
Clinical Research Design
• The best design to answer the research question
• Feasibility
• Interest
• Relevant
• Novelty
• Ethical
• The best design to answer the
research question
Common misconceptions
• Some designs are better than other
• Not true
• Need to select appropriate designs to match problems
• Some methods are better than others
• Not true
• Need to select appropriate methods to match problems
• Topical issues are better or more easily published
• Not true
• Editors and examiners want to see good research
Common problems
• Lack of focus
• Decide what your research question is and stay with it
• Lack of a clear research question
• Don’t proceed until you have one
• Going too quickly
• Take your time in the early stages of a project
• You must try to avoid changing topic of changing designs
See the ‘gap in the wall’
Developing a research question
A clear statement in the form of a question of what you set out to
investigate, eg:
• Does intervention A work better than intervention B?
• What are the most common long-term complications of contracting COVID-
19?
• What is the patient experience of attending a nurse-led care clinic?
• What are the most effective treatments for COVID-19?
Research design
• Quantitative
• Randomised controlled trials
• Surveys
• Cross-sectional
• Longitudinal
• Qualitative
• Ethnography
• Grounded theory
Research methods
• Quantitative
• Randomised controlled trials
• Define primary outcome measure and data collection method
• How will randomisation be achieved?
• How will blinding be assured?
• How will sample size be calculated?
Research methods (contd.)
• Quantitative (contd.)
• Surveys
• Questionnaires
• Postal
• Telephone
• Internet
• Observations
• Sample size considerations
• Sampling procedures
Design
Cross-sectional
Longitudinal
Cross-sectional
Advantages
• relatively easy to conduct
Disadvantages
• limited information obtained
Longitudinal
Advantages
• very informative
Disadvantages
• relatively hard to conduct
Types of longitudinal studies
Trend
• same population (eg population of Hong Kong)
• not same people
Cohort
• same sample (eg nursing class of 2010)
• not necessarily the same people
Panel
• same sample (eg nursing class of 2010)
• same people
Types of longitudinal studies
Trend
• very informative about trends
• not very informative about people
Cohort
• quite informative about trends
• quite informative about people
Panel
• least informative about trends
• most informative about people
Types of longitudinal studies
Trend
• relatively easy to conduct
• sampling is easy
Cohort
• harder to conduct
• quite vulnerable to attrition
Panel
• Very hard to conduct
• Very vulnerable to attrition
Research methods (contd.)
• Qualitative
• Interviews
• Focus groups
• Recording
• Transcribing
Matching research designs with
research questions
Does intervention A work better than
intervention B?
• Experiment
What are the most common long-term
complications of contracting COVID-19?
• Survey
What is the patient experience of attending a
nurse-led care clinic?
• Qualitative
• Mixed methods (quantitative & qualitative)
What are the most effective treatments for
COVID-19?
• Systematic review (& meta-analysis)
• Design considerations
Experiment
• Required sample size
• Effect size estimation
• Recruitment
• Contamination
• Clustering
• Blinding
Survey
• Sample size
• Recruitment
• Attrition
• Survey instrument
• Survey platform
Qualitative
• Time
• Volume of data
Mixed methods (quantitative & qualitative)
• All the problems of survey and qualitative designs
• Which mixed methods design to use
Systematic review (& meta-analysis)
• More time consuming than anticipated – always
• Possibility of a nil return
• Retrieving articles
• Evaluating quality of articles
• Feasibilty
Common mistakes
• Wanting to change the world
• You are unlikely to
• Your project will be too ambitious
• Setting out to ‘prove’ something
• This is philosophically flawed
• And research ‘proves’ nothing
• Deciding on your method first
• You need to be clear on a research question
• Your methods should then follow
Issues affecting feasibility
• Will you have time?
• How long will data collection take?
• How long will it take to obtain permission?
• Will you obtain permission?
• Is the clinical area committed to the work?
• Do you envisage ethical problems?
• Can you recruit participants?
• What is the incidence/prevalence of the issue?
• Can potential participants give consent?
Interest
What do you want to get out of a research
project?
• Personal
• Achievement
• Ambition
• Altruistic
• Improve lives
• Professional
• Status
• Recognition
• Academic
• MSc/PhD
Relevant
Is anyone interested in your proposal?
• Are you interested?
• If not, then you will be less committed to the work
• Can you enthuse others about the work (you may need their help!)?
• Is the issue of interest to your hospital?
• It should make life easier if it is
• But beware of ‘stepping on toes’
• Is the issue of national importance?
• This will also make life easier
• There is the potential for financial support
• You should check to see if there are relevant national priorities
Novelty
Is the work novel?
• It does not have to be
• Replication is a vital aspect of clinical research
• Replication provides you with a ‘ready made’ design
• But you will have to justify doing a replication study
• If the work is novel
• You need to be sure it is before you claim it is
• You need to explain why it is necessary
Ethical
Is the work ethical?
• Can you envisage any ethical problems?
• Try to anticipate ethical issues
• What are the local ethics procedures?
• How long do they take?
• Expect at least one revision
Study registration
Checklist
Trial registration
Conclusion
Conclusion
• There is no best design
• Have a clear research question
• This will dictate
• Design
• Methods
• Analysis
• Ethics
• Every methods has its drawbacks
• You have to be interested in the project
• Others need to be interested to provide support
• Anticipate ethical issues
r.watson@hull.ac.uk
0000-0001-8040-7625
@rwatson1955

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Clinical research design

  • 2. Clinical Research Design • The best design to answer the research question • Feasibility • Interest • Relevant • Novelty • Ethical
  • 3. • The best design to answer the research question
  • 4. Common misconceptions • Some designs are better than other • Not true • Need to select appropriate designs to match problems • Some methods are better than others • Not true • Need to select appropriate methods to match problems • Topical issues are better or more easily published • Not true • Editors and examiners want to see good research
  • 5. Common problems • Lack of focus • Decide what your research question is and stay with it • Lack of a clear research question • Don’t proceed until you have one • Going too quickly • Take your time in the early stages of a project • You must try to avoid changing topic of changing designs
  • 6. See the ‘gap in the wall’
  • 7. Developing a research question A clear statement in the form of a question of what you set out to investigate, eg: • Does intervention A work better than intervention B? • What are the most common long-term complications of contracting COVID- 19? • What is the patient experience of attending a nurse-led care clinic? • What are the most effective treatments for COVID-19?
  • 8. Research design • Quantitative • Randomised controlled trials • Surveys • Cross-sectional • Longitudinal • Qualitative • Ethnography • Grounded theory
  • 9. Research methods • Quantitative • Randomised controlled trials • Define primary outcome measure and data collection method • How will randomisation be achieved? • How will blinding be assured? • How will sample size be calculated?
  • 10. Research methods (contd.) • Quantitative (contd.) • Surveys • Questionnaires • Postal • Telephone • Internet • Observations • Sample size considerations • Sampling procedures
  • 12. Cross-sectional Advantages • relatively easy to conduct Disadvantages • limited information obtained
  • 14. Types of longitudinal studies Trend • same population (eg population of Hong Kong) • not same people Cohort • same sample (eg nursing class of 2010) • not necessarily the same people Panel • same sample (eg nursing class of 2010) • same people
  • 15. Types of longitudinal studies Trend • very informative about trends • not very informative about people Cohort • quite informative about trends • quite informative about people Panel • least informative about trends • most informative about people
  • 16. Types of longitudinal studies Trend • relatively easy to conduct • sampling is easy Cohort • harder to conduct • quite vulnerable to attrition Panel • Very hard to conduct • Very vulnerable to attrition
  • 17. Research methods (contd.) • Qualitative • Interviews • Focus groups • Recording • Transcribing
  • 18. Matching research designs with research questions
  • 19. Does intervention A work better than intervention B? • Experiment
  • 20. What are the most common long-term complications of contracting COVID-19? • Survey
  • 21. What is the patient experience of attending a nurse-led care clinic? • Qualitative • Mixed methods (quantitative & qualitative)
  • 22. What are the most effective treatments for COVID-19? • Systematic review (& meta-analysis)
  • 24. Experiment • Required sample size • Effect size estimation • Recruitment • Contamination • Clustering • Blinding
  • 25. Survey • Sample size • Recruitment • Attrition • Survey instrument • Survey platform
  • 27. Mixed methods (quantitative & qualitative) • All the problems of survey and qualitative designs • Which mixed methods design to use
  • 28. Systematic review (& meta-analysis) • More time consuming than anticipated – always • Possibility of a nil return • Retrieving articles • Evaluating quality of articles
  • 30. Common mistakes • Wanting to change the world • You are unlikely to • Your project will be too ambitious • Setting out to ‘prove’ something • This is philosophically flawed • And research ‘proves’ nothing • Deciding on your method first • You need to be clear on a research question • Your methods should then follow
  • 31. Issues affecting feasibility • Will you have time? • How long will data collection take? • How long will it take to obtain permission? • Will you obtain permission? • Is the clinical area committed to the work? • Do you envisage ethical problems? • Can you recruit participants? • What is the incidence/prevalence of the issue? • Can potential participants give consent?
  • 33. What do you want to get out of a research project? • Personal • Achievement • Ambition • Altruistic • Improve lives • Professional • Status • Recognition • Academic • MSc/PhD
  • 35. Is anyone interested in your proposal? • Are you interested? • If not, then you will be less committed to the work • Can you enthuse others about the work (you may need their help!)? • Is the issue of interest to your hospital? • It should make life easier if it is • But beware of ‘stepping on toes’ • Is the issue of national importance? • This will also make life easier • There is the potential for financial support • You should check to see if there are relevant national priorities
  • 37. Is the work novel? • It does not have to be • Replication is a vital aspect of clinical research • Replication provides you with a ‘ready made’ design • But you will have to justify doing a replication study • If the work is novel • You need to be sure it is before you claim it is • You need to explain why it is necessary
  • 39. Is the work ethical? • Can you envisage any ethical problems? • Try to anticipate ethical issues • What are the local ethics procedures? • How long do they take? • Expect at least one revision
  • 41.
  • 44.
  • 45.
  • 46.
  • 47.
  • 48.
  • 49.
  • 51. Conclusion • There is no best design • Have a clear research question • This will dictate • Design • Methods • Analysis • Ethics • Every methods has its drawbacks • You have to be interested in the project • Others need to be interested to provide support • Anticipate ethical issues