Title: How to write a study protocol
1How to write a study protocol
- EPIET, Lazareto, Menorca
- October 2009
2Objectives of this session
- Overview of the different elements to be
included in a research protocol - Guide for the Protocol exercise (week 2)
3Study 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?
4Study 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
5Study 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)
6Protocol 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
71. Presentation
- Title
- short, accurate, concise
- Investigators
- Main centres
- Steering committee (scientific board)
- Summary of the protocol
82. 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
93. Objectives
- Should answer the study question
- Should be S.M.A.R.T.
- Specific
- Measurable
- Achievable/Accessible
- Realistic/Relevant
- Time-based/Timely
103. Objectives
- Principal objective
- Must be achieved
- Dictates design and methods
- Secondary objectives
- Of interest, but not essential
11Hypotheses
- Translation of the objectives in terms that
allow statistical testing -
123. 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
13Hypothesis
- 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
143. 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
15Hypothesis
- The current crude mortality rate
in IDPs in Darfur
is above 1 death per 10,000 per
day - CMR gt 1/10,000/d
16Objectivesexample
- 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
17Hypothesis
- The incidence of ST is lower in people using
mite repellents on clothes than in people not
using them
18Protocol 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
194. Methods
- Procedures to achieve objectives
- what will be done?
- how?
- Information used to judge validity
204. 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
214. 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
22Sample sizee.g. Options for smoking and lung
cancer case-control study, England and Wales,
2009
234. 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 -
24CC 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
25MethodsData 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
26MethodsData 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
27MethodsData analysis
Dummy table Food specific attack rates of
Salmonella infection in a day care centre,
Paris, May 1999
28MethodsData analysis
- CC study, risk factors for brucellosis in France
294. 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
304. 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
314. MethodsPilot studies, pre-testing
- No study without pre-test
- Feasibility of sampling
- Data collection, measurement methods
- Questionnaire
- Describe how to test
324. 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
33Protocol 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
345. Ethical considerations
- Informed consent
- translated in local lay language
- Confidentiality
- coding data collection instruments without
identifier - Data storage and protection
- Ethics committee
356. Project management
- Participating institutes and persons
- Responsibilities and tasks of each partner
- Data ownership
- (Authorship)
367. 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
378. Resources
- Extent of this section depends on target
audience - Specify
- available sources
- requested sources
- Keep budget
- reasonable
- detailed
- well justified
389. 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
3910. Appendices
- Methodological appendices
- List of definitions
- Questionnaires
- Introductory letters to study participants
- Informed consent forms
- ..
40Common 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
41Study protocoland now.