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How to write a study protocol

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Title: How to write a study protocol


1
How to write a study protocol
  • EPIET, Lazareto, Menorca
  • October 2009

2
Objectives of this session
  • Overview of the different elements to be
    included in a research protocol
  • Guide for the Protocol exercise (week 2)

3
Study protocol What?
  • Every step of a study
  • Answers relevant questions
  • public health problem important?
  • study question relevant to problem?
  • objectives consistent with study question?
  • study design achieves objectives?
  • sufficient power?
  • public health impact of the findings?

4
Study protocol Why?
  • Check
  • if objectives can be achieved
  • feasibility of the study
  • Prevent failure to collect crucial information
  • Lays down the rules for all partners (quality)
  • Obtain approval of ethical committee(s)
  • Application for funds

5
Study protocolHow to start ?
  • Formulate the research question
  • Get
  • good examples of protocols
  • ideas from similar published studies
  • ideas from colleagues
  • Use a checklist of items to include
  • Get the requested format (grant application)

6
Protocol outline
  • 1. Presentation
  • 2. Background and justifications
  • 3. Objectives
  • 4. Methods
  • 5. Ethical considerations
  • 6. Project management
  • 7. Timetable
  • 8. Resources
  • 9. References
  • 10. Appendices

7
1. Presentation
  • Title
  • short, accurate, concise
  • Investigators
  • Main centres
  • Steering committee (scientific board)
  • Summary of the protocol

8
2. Background and justification
  • Statement of problem, study justification
  • importance of subject area
  • magnitude, frequency
  • gaps in existing knowledge
  • principal questions to be addressed
  • contribution of results to existing knowledge
  • use of results
  • dissemination of results
  • Review relevant literature

9
3. Objectives
  • Should answer the study question
  • Should be S.M.A.R.T.
  • Specific
  • Measurable
  • Achievable/Accessible
  • Realistic/Relevant
  • Time-based/Timely

10
3. Objectives
  • Principal objective
  • Must be achieved
  • Dictates design and methods
  • Secondary objectives
  • Of interest, but not essential

11
Hypotheses
  • Translation of the objectives in terms that
    allow statistical testing

12
3. Objectives example
  • Non S.M.A.R.T objective
  • To identify risk factors for HCV infection
  • Principal objective
  • To determine if sharing a haemodialysis machine
    with a HCV infected patient is a risk factor for
    HCV infection
  • Secondary objective
  • To identify failures in procedures designed to
    prevent cross-infection via haemodialysis
    machines

13
Hypothesis
  • The incidence of HCV infection
    in haemodialysis
    patients
  • is higher
  • in patients sharing machines
    with HCV infected patients
    than
  • in patients not sharing machines
    with HCV infected patients

14
3. Objectivesexample
  • Non S.M.A.R.T objective
  • To estimate mortality in Darfur
  • To estimate the current mortality (1-30 July
    2004)
  • among the Internally Displaced Population (IDP)
    present in the settlements at the time of the
    survey,
  • in each of the three states of Greater Darfur

15
Hypothesis
  • The current crude mortality rate
    in IDPs in Darfur
    is above 1 death per 10,000 per
    day
  • CMR gt 1/10,000/d

16
Objectivesexample
  • Non S.M.A.R.T objective
  • - To identify protective factors for scrub typhus
  • Principal Objective
  • - To estimate the strength of the association
    between potential protection measures and scrub
    typhus (ST) among residents of peri-urban area of
    Darjeeling district.
  • Secondary objective
  • - Estimate the fraction of cases of ST that could
    be prevented through these measures

17
Hypothesis
  • The incidence of ST is lower in people using
    mite repellents on clothes than in people not
    using them

18
Protocol outline
  • 1. Presentation
  • 2. Background and justifications
  • 3. Objectives
  • 4. Methods
  • 5. Ethical considerations
  • 6. Project management
  • 7. Timetable
  • 8. Resources
  • 9. References
  • 10. Appendices

19
4. Methods
  • Procedures to achieve objectives
  • what will be done?
  • how?
  • Information used to judge validity

20
4. Methods
  • Study design
  • cohort, case control, cross-sectional
  • brief justification
  • Study population
  • definition
  • selection
  • criteria for inclusion and exclusion
  • mechanisms of recruitment
  • accessibility, follow-up, representativeness

21
4. Methods
  • Sampling design (ref lecture sampling)
  • frame district, household, persons,
  • method random, cluster, stratified,
  • randomisation procedures
  • replacement procedures (in case of refusal)
  • Sample size (ref lecture sample calculation)
  • sample size, power calculations based on
    principal objective
  • feasibility

22
Sample sizee.g. Options for smoking and lung
cancer case-control study, England and Wales,
2009
23
4. Methods
  • Selection and definition
  • exposures
    risk factors,
    protective factors, confounding factors
  • outcomes
    definition of case, of
    control group
  • Items to be measured
  • scales used
  • e.g smoking ltgt lung cancer
  • smoking definition, quantification, categories
  • lung cancer case definition, control group
    definition

24
CC study of sporadic cases
of Salmonella Enteritidis infections
  • Exposure
  • consumption of custard slices
  • Case
  • a person living in South-West Wales with
    a laboratory confirmed
    infection due to S. Enteritidis
    in June and July 1991
  • Case finding
  • through Public Health Laboratory weekly
    notifications
  • Control
  • persons living in SW Wales
    in same neighborhood
    as cases
  • Control finding
  • random selection of people using telephone
    directory

25
MethodsData analysis plan
  • Structured in terms of objectives
  • Hypotheses tested, dummy tables
  • Comparison of groups
  • risk factors
  • protective measures
  • Assessment of dose-response relationship for key
    exposures
  • Assessment of possible confounding factors /
    effect modifiers
  • Statistical tests used, adjustment,
    stratification

26
MethodsData analysis plan
  • Define
  • indicators you will need to reach objectives
  • data you will need to collect
  • Better estimates of sample size
    for analysis of sub-groups

27
MethodsData analysis
Dummy table Food specific attack rates of
Salmonella infection in a day care centre,
Paris, May 1999
28
MethodsData analysis
  • CC study, risk factors for brucellosis in France

29
4. MethodsData collection
  • How
  • interview, observation, record review
  • By whom
  • interviewers selection, training
  • level of supervision
  • Tools (ref lecture questionnaire design)
  • questionnaires, recording materials
  • questionnaires self or interviewer administered,
    face-to-face or telephone interview
  • Blind data collection
  • Procedures for taking samples

30
4. MethodsData handling
  • Coding (anonymisation)
  • during data collection, afterwards?
  • by whom?
  • Processing
  • software, hardware
  • entry
  • during the study, afterwards?
  • single entry, double entry?
  • Validation and data cleaning

31
4. MethodsPilot studies, pre-testing
  • No study without pre-test
  • Feasibility of sampling
  • Data collection, measurement methods
  • Questionnaire
  • Describe how to test

32
4. MethodsLimitations
  • Identification of potential sources of biases
  • selection bias
  • information bias
  • misclassification bias
  • interviewer bias
  • How to deal with them
  • possibilities for correcting
  • how they will affect the results

33
Protocol outline
  • 1. Presentation
  • 2. Background and justifications
  • 3. Objectives
  • 4. Methods
  • 5. Ethical considerations
  • 6. Project management
  • 7. Timetable
  • 8. Resources
  • 9. References
  • 10. Appendices

34
5. Ethical considerations
  • Informed consent
  • translated in local lay language
  • Confidentiality
  • coding data collection instruments without
    identifier
  • Data storage and protection
  • Ethics committee

35
6. Project management
  • Participating institutes and persons
  • Responsibilities and tasks of each partner
  • Data ownership
  • (Authorship)

36
7. Timetable
  • Planning/organisation of the study
  • questionnaire design, recruitment, purchases
  • permission
  • obtain funding
  • Pilot study
  • Final study
  • data collection
  • analysis
  • presentation of results and write up

37
8. Resources
  • Extent of this section depends on target
    audience
  • Specify
  • available sources
  • requested sources
  • Keep budget
  • reasonable
  • detailed
  • well justified

38
9. References
  • Limit number of references to key articles
  • Follow recommended style
  • Vancouver
  • www.library.soton.ac.uk/infoskills/vancouver.shtml
  • www.transfusion.ca/new/bulletin/vancouver-style.ht
    ml

39
10. Appendices
  • Methodological appendices
  • List of definitions
  • Questionnaires
  • Introductory letters to study participants
  • Informed consent forms
  • ..

40
Common problems
  • Too ambitious too many questions
  • Insufficient attention to literature
  • Poor justification
  • why is it important to answer this question?
  • what impact does it have on public health?
  • Poorly formulated objectives
  • Inappropriate analysis
  • Inadequate description
  • Absence of pilot

41
Study protocoland now.
  • Good Luck !
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