HSRU is funded by the Chief Scientist Office of the Scottish
Government Health Directorates . The author accepts full
responsibility for this talk.
Health Services Research Unit
University of Aberdeen
Randomised ControlledRandomised Controlled
Trials (RCTs)Trials (RCTs)
Graeme MacLennan
Health Services Research Unit
James LindJames Lind
• Born Edinburgh 1716
• On HMS Salisbury in 1747 he
allocated 12 men with scurvy
– Cider
– Seawater
– Horseradish, mustard, garlic
– Nutmeg
– Elixir Vitriol
– Oranges and Limes
Health Services Research Unit
Think about…Think about…
• Consider how you would go about evaluating the
following interventions
– Surgical versus medical termination of pregnancy
– Referral guidelines for radiographic examination
– Paracetamol and/or ibuprofen for treating children
with fever
– Nurse counsellors as an alternative to clinical
geneticists for genetic counselling
– Single dose of chemotherapy versus radiotherapy
treating testicular cancer
http://news.bbc.co.uk/1/hi/health/7647007.stm
– Cervical cancer vaccine
http://news.bbc.co.uk/1/hi/health/6223000.stm
Health Services Research Unit
The need to evaluate healthThe need to evaluate health
carecare
• Variations in health care
• Unproven treatments
• Inadequacies in care
• Inaccurate medical models
• Limitation of resources
• New innovations
• …
Crombie (1996)
Health Services Research Unit
Evaluation processEvaluation process
• Define research question
• What is already known?
• Identify appropriate study design
• Define population, intervention and criteria for
evaluation
• How large a study?
• Consider measurement of evaluation criteria
(“outcomes”)
– How often?
– Timing? Length of follow up?
– To whom? Who collects the data? What format?
• Analysis of data
• Dissemination and implementation
Health Services Research Unit
Define research question andDefine research question and
what is already knownwhat is already known
• Research question (PICOT)
– Population
– Intervention
– Control/comparator
– Outcome
– Target
• Has the question already been answered?
– Conduct review to assess what is know
about intervention
Health Services Research Unit
Definition of population,Definition of population,
intervention and “outcomes”intervention and “outcomes”
• Population
– Strict definition (explanatory) or flexible
(pragmatic)
• Intervention
– Dose of drug, timing etc
• “Outcomes”
– Health related Quality of Life
– Biochemical outcomes
– Symptoms
– Physical assessment
– Patient satisfaction
– Acceptability
– Cost-effectiveness
Health Services Research Unit
Measuring “outcome”Measuring “outcome”
• Questionnaires, interview, medical
notes etc
• Timing of questionnaires?
– Baseline (prior to treatment)
– Short term outcomes
– Long term outcomes
• Who collects the data?
Health Services Research Unit
Sources of systematicSources of systematic
errorserrors
• Selection bias
– can be introduced by the way in which comparison
groups are assembled
• Attrition bias
– systematic differences in withdrawal/follow up
• Performance bias
– Systematic differences in care provided
• Observation/detection bias
– systematic differences in observation,
measurement, assessment
Health Services Research Unit
What is a randomised controlled trial?What is a randomised controlled trial?
Simple Definition
• A study in which people are allocated
at random to receive one of several
interventions
(simple but powerful research tool)
Health Services Research Unit
Simple RCT modelSimple RCT model
Trial participantsTrial participants
RANDOMLYRANDOMLY allocatedallocated
to experimentalto experimental
oror CONTROLCONTROL groupgroup
CONTROLCONTROLEXPERIMENTEXPERIMENT
Health Services Research Unit
What is aWhat is a randomisedrandomised controlled trial?controlled trial?
• Random allocation to intervention
groups
• all participants have equal chance of
being allocated to each intervention
group
why RCTs are referred to as
randomised controlled trials
Health Services Research Unit
TerminologyTerminology
• Interventions are comparative regimes within
a trial
• Prophylactic, diagnostic, therapeutic e.g.
– preventative strategies
– screening programmes
– diagnostic tests
– drugs
– surgical techniques
Health Services Research Unit
What is a randomisedWhat is a randomised
controlledcontrolled trial?trial?
• One intervention is regarded as
control treatment (the group of
participants who receive this are the
control group)
• NOTE: Contemporaneous (not
historical controls)
why RCTs are referred to as randomised
controlled trials
Health Services Research Unit
TerminologyTerminology
Control Group
• can be
– conventional
practice
– no intervention
(this may be
conventional
practice)
– placebo
Experimental
Group
• receive new
intervention
• (also called
treatment group or
intervention group
interchangeably)
Health Services Research Unit
What is aWhat is a randomisedrandomised
controlled trialcontrolled trial ??
• RCTs are
– Experiments: investigators can influence
number, type, regime of interventions
– Quantitative: measure events rather than
try to interpret them in their natural
settings
– Comparative: compare two or more
interventions
Health Services Research Unit
What is a randomisedWhat is a randomised
controlled trial?controlled trial?
More Complex Definition
• Quantitative, comparative, controlled
experiments in which a group of
investigators study two or more
interventions in a series of participants
who are allocated randomly to each
intervention group
Health Services Research Unit
Inclusion/exclusion criteriaInclusion/exclusion criteria
• Decision rules applied to potential trial
participants to judge eligibility for
inclusion in trial
• See CONSORT statement
www.consort-statement.org
• Important that they are applied
identically to all groups in a trial!
Health Services Research Unit
What is randomisation?What is randomisation?
• Randomisation is the process of random
allocation
• Allocation is not determined by investigators,
clinicians or participants
• Equal chance of being assigned to each
intervention group
• Individual people
– patients
– caregivers (physicians, nurses etc)
• Groups of people, ‘cluster randomisation’
• (Covered in more depth in later lecture)
Health Services Research Unit
Pseudo-randomisationPseudo-randomisation
• Other allocation methods include
– according to date of birth
– the number on hospital records
– date of invitation etc.
• These are NOT regarded as random
• These are called pseudo- or quasi-
random
Health Services Research Unit
TerminologyTerminology
• Controlled clinical trials (CCTs) are
not the same as randomised controlled
trials
• Controlled clinical trials include non-
randomised controlled trials and
randomised controlled trials
Health Services Research Unit
Why use randomisation?Why use randomisation?
• Characteristics similar across groups at
baseline
• can isolate and quantify impact of
interventions with effects from other
factors minimised
• Risk of imbalance not abolished
completely even if perfect randomisation
• To combat selection bias
Unpredictability paradox: review of empirical comparisons of randomised and non-randomised
clinical trials, Kunz and Oxman 1998 BMJ
http://www.bmj.com/cgi/content/abstract/317/7167/1185
Health Services Research Unit
Why do we need a control group?Why do we need a control group?
• Don’t need a control group if
completely predictable results
– Parachutes when jumping from
plane
– New drug cures a few rabies cases
• But
– No intervention has 100% efficacy
– Many diseases recover
spontaneously
Health Services Research Unit
Regression to the meanRegression to the mean
• Occurs when an intervention aimed at
a group or characteristic that is very
different from average
• For example selecting people because
they have high blood pressure then
measuring them in future will see the
blood pressure measurements closer
to the mean of the population
Morton and Torgerson BMJ 2003 326:1083-4
Bland and Altman BMJ 1994 308:1499 and 309:780
Health Services Research Unit
DISTRIBUTION OFDISTRIBUTION OF
RESULTSRESULTS
threshold
measurement 1measurement 2
Health Services Research Unit
Hawthorne EffectHawthorne Effect
• Experimental effect in the direction
expected but not for the reason
expected
• Essentially studying/measuring
something can change what you
studying/measuring
Health Services Research Unit
Placebo EffectPlacebo Effect
• Effect (usually, but not always positive)
attributed to the expectation that a therapy
will have an effect
• The effect is due to the power of suggestion
• A placebo is an inert medication or
procedure
Waber et al 2008 JAMA Commercial Features of Placebo and
Therapeutic Efficacy
http://jama.ama-assn.org/cgi/content/full/299/9/1016
Effect size
Experimental group Control group
Hawthorne E.
R. mean
Placebo E.
Therapeutic E.
Real difference
Noise
Signal
EFFECT OF ANEFFECT OF AN
INTERVENTIONINTERVENTION
Health Services Research Unit
Minimising bias in RCTsMinimising bias in RCTs
• Blinding
– Single blind – participants are unaware of
treatment allocation
– Double blind – both participants and
investigators are unaware of treatment
allocation
– Requires use of placebos in drug trials
Schulz and Grimes (2002)
Health Services Research Unit
Concealment of random allocation listConcealment of random allocation list
• “Trials with inadequate allocation
concealment have been associated with
larger treatment effects compared with
trials in which authors reported adequate
allocation concealment”
Schulz KF (1995). Subverting randomisation in
controlled trials. JAMA, 274, 1456-8
Health Services Research Unit
Blinding, placebosBlinding, placebos
• RCTs should use the maximum degree of
blinding that is possible
• Placebo is a ‘dummy’ treatment given
when there is no obvious standard
treatment
– needed as the act of taking a treatment
may have some effect -need to
attribute
– double blind treatments must be
indistinguishable to those affected
Health Services Research Unit
Empirical evidence ofEmpirical evidence of
biasbias
MethodologicalIssue Increaseintreatment
effect(OR)
Inadequateconcealment of
treatmentallocation
41%
Unclearmethodofconcealment
oftreatmentallocation
30%
Trialnotblinded(whencould
havebeen)
17%
SchulzKFetal.JAMA1995;273:408-412
Health Services Research Unit
‘‘Explanatory’ and ‘Pragmatic’Explanatory’ and ‘Pragmatic’
questionsquestions
Explanatory
• Can it work in an
ideal setting …..?
• Efficacy
• Hypothesis testing
• Placebo controlled
• Double blind
Pragmatic
• Does it work in the real
world …..?
• Effectiveness
• Choice between
alternative approaches
to health care
• Standard care
• Open
Health Services Research Unit
Key differences betweenKey differences between
explanatory and pragmatic trialsexplanatory and pragmatic trials
(1)(1)
Explanatory Pragmatic
Question efficacy effectiveness
Setting ‘laboratory’ normal practice
Participants strictly defined broader, clinically indicated
(uncertainty)
Interventions strictly defined as clinical practice
Health Services Research Unit
Key differences betweenKey differences between
explanatory and pragmatic trialsexplanatory and pragmatic trials
(2)(2)
Explanatory Pragmatic
Outcomes short-term long-term, patient-
surrogates centered and
resource orientated
Size small (usually larger
single centre) (often multi-centre)
Analysis treatment received intention to treat
Relevance indirect direct
to practice
Health Services Research Unit
Example of selection biasExample of selection bias
for PP in an open trialfor PP in an open trial
Worse prognosisWorse prognosis
ExEx
pp
CtrlCtrl
None
None
White(2005)
E
E
Health Services Research Unit
Terminology: explanatoryTerminology: explanatory
versus pragmaticversus pragmatic
• Explanatory trials
– estimates efficacy - that is the benefit the
treatment produces under ideal conditions
• Pragmatic trials
– estimates effectiveness - that is the
benefit the treatment produces under
routine clinical practice
Roland M, Torgerson D. What are pragmatic trials? BMJ
1998;316:285
Health Services Research Unit
RCT as the GoldRCT as the Gold
StandardStandard
• The randomised controlled trial is
widely regarded as the gold standard
for evaluating health care technologies
because it allows us to be confident
that a difference in outcome can be
directly attributed to a difference in
the treatments and not due to some
other factor
Health Services Research Unit
RCT strengthsRCT strengths
• Confounding variables minimised
• Only research design which can in
principle yield causal relationships
– can clarify the direction of cause
and effect
• Accepted by EBM school
• Don’t have to know everything about
the participants
Health Services Research Unit
RCT limitationsRCT limitations
• Contamination of intervention groups
• Comparable controls
• Problems with blinding
• What to do about attrition?
• Are patients/professionals willing to be
in trial different from ‘refusers’?-
external validity
• Cost!
Health Services Research Unit
Other issues in RCTs (1)Other issues in RCTs (1)
• Ethics
• Management issues
• Interim analysis and ‘stopping rules’
– part of ethical concern
– mechanisms to avoid patient harm
– Data Monitoring and Safety
Committee required for trials
Clemens F et al Data monitoring in randomised controlled trials: surveys of recent
practice and policies. Clin Trials 2005;2(1):22-33.
Health Services Research Unit
Other issues in RCTs (2)Other issues in RCTs (2)
• A power calculation is essential for the
validity of a trial and will always be
necessary for grant applications and in
publications of the trial (later lecture)
• The methods of randomisation should
always be reported. It is not enough to
say that the patients were randomly
allocated to the treatments. (see
CONSORT)
Parallel group (simple) RCTParallel group (simple) RCT
design in practicedesign in practice
Patient eligible for either treatment
Patient gives informed consent
Yes No
Randomise Exclude from trial
Experimental
treatment
Standard
treatment
Standard
treatment
Health Services Research Unit
SummarySummary
• “Gold standard” of research designs
• Individual patients are randomly allocated to receive
the experimental treatment (intervention group) or the
standard treatment (control group)
• Maximises the potential for attribution
• Randomisation guards against selection bias between
the two treatment groups
• Standard statistical analysis
• Good internal validity
• May lack generalisability due to highly selected
participants
• Can be costly to set up and conduct, ethical issues
Health Services Research Unit
Good study designGood study design
General considerations
• maximise attribution
– Ensure no factor other than the intervention differs
between the intervention and control group
– Random allocation, if adequately carried out, will
in the long run ensure comparable groups with
respect to all factors
• minimise all sources of error
– systematic error (bias)
– random error (chance)
• be practical and ethical
Health Services Research Unit
Minimise sources of errorMinimise sources of error
Systematic errors (bias)
• “inaccuracy which is different in its size or direction in
one of the groups under study than the others ”
• Minimise bias by ensuring that the methods used are
applied in the same manner to all subjects
irrespective of which group they belong to.
Random errors (chance)
• “Inaccuracy which is similar in the different groups of
subjects being compared”
• Adequate sample size, accurate methods of
measurement
Elwood (1998)
Health Services Research Unit
Study designsStudy designs
• Experimental (Randomised controlled trial)
– A new intervention is deliberately introduced and
compared with standard care
• Quasi-experimental (non-randomised, controlled
before and after)
– Researchers do not have full control over the
implementation of the intervention (“opportunistic
research”)
• Observational (Cohort, case-control, cross-sectional)
– describes current practice
– observed differences cannot be attributed solely to
a “treatment” effect
Health Services Research Unit
Evaluation of health careEvaluation of health care
interventionsinterventions
• Randomised controlled trials are considered as the
“gold standard”
• However, some debate over the advantages and
disadvantages of different research designs for
assessing the effectiveness of healthcare
interventions
• Polarised views
– “observational methods provide no useful means of
assessing the value of a therapy” (Doll, 1993)
– RCTs may be unnecessary, inappropriate,
impossible or inadequate (Black, 1996)
• Approaches should be seen as complementary and
not as alternatives (Black, 1996)
– Interpretation of RCTs in terms of
generalisability
Health Services Research Unit
Useful/interesting linksUseful/interesting links
• www.jameslindlibrary.org (History)
• www.consort-statement.org (CONSORT)
• www-users.york.ac.uk/~mb55/pubs/pbstnote.htm (All
the stats notes from BMJ)
• www.ctu.mrc.ac.uk (MRC CTU)
• www.rcrt.ox.ac.uk (under construction)
• Doll R. Clinical Trials the 1948 watershe BMJ 1998;317:1217-
1220
• The unpredictability paradox: review of empirical
comparisons of randomised and non-randomised clinical
trials Regina Kunz and Andrew D Oxman BMJ 1998 317:
1185-1190
Health Services Research Unit
ReferencesReferences
• Black. Why we need observational studies to
evaluate the effectiveness of health care. BMJ 1996:
312;1215-8
• Crombie. Research in Health Care. 1996
• Doll. Doing more good than harm: the evaluation of
health care interventions. Ann NY Acad Sci
1993:703;310-13
• Elwood M. Critical appraisal of epidemiological
studies and clinical trials. 1998 OUP; Oxford.
• Greenhalgh T. How to read a paper. 2001 BMJ;
London
• Schulz and Grimes. Lancet Epidemiology series.
2002

Randomized controlled trial

  • 1.
    HSRU is fundedby the Chief Scientist Office of the Scottish Government Health Directorates . The author accepts full responsibility for this talk. Health Services Research Unit University of Aberdeen Randomised ControlledRandomised Controlled Trials (RCTs)Trials (RCTs) Graeme MacLennan
  • 2.
    Health Services ResearchUnit James LindJames Lind • Born Edinburgh 1716 • On HMS Salisbury in 1747 he allocated 12 men with scurvy – Cider – Seawater – Horseradish, mustard, garlic – Nutmeg – Elixir Vitriol – Oranges and Limes
  • 3.
    Health Services ResearchUnit Think about…Think about… • Consider how you would go about evaluating the following interventions – Surgical versus medical termination of pregnancy – Referral guidelines for radiographic examination – Paracetamol and/or ibuprofen for treating children with fever – Nurse counsellors as an alternative to clinical geneticists for genetic counselling – Single dose of chemotherapy versus radiotherapy treating testicular cancer http://news.bbc.co.uk/1/hi/health/7647007.stm – Cervical cancer vaccine http://news.bbc.co.uk/1/hi/health/6223000.stm
  • 4.
    Health Services ResearchUnit The need to evaluate healthThe need to evaluate health carecare • Variations in health care • Unproven treatments • Inadequacies in care • Inaccurate medical models • Limitation of resources • New innovations • … Crombie (1996)
  • 5.
    Health Services ResearchUnit Evaluation processEvaluation process • Define research question • What is already known? • Identify appropriate study design • Define population, intervention and criteria for evaluation • How large a study? • Consider measurement of evaluation criteria (“outcomes”) – How often? – Timing? Length of follow up? – To whom? Who collects the data? What format? • Analysis of data • Dissemination and implementation
  • 6.
    Health Services ResearchUnit Define research question andDefine research question and what is already knownwhat is already known • Research question (PICOT) – Population – Intervention – Control/comparator – Outcome – Target • Has the question already been answered? – Conduct review to assess what is know about intervention
  • 7.
    Health Services ResearchUnit Definition of population,Definition of population, intervention and “outcomes”intervention and “outcomes” • Population – Strict definition (explanatory) or flexible (pragmatic) • Intervention – Dose of drug, timing etc • “Outcomes” – Health related Quality of Life – Biochemical outcomes – Symptoms – Physical assessment – Patient satisfaction – Acceptability – Cost-effectiveness
  • 8.
    Health Services ResearchUnit Measuring “outcome”Measuring “outcome” • Questionnaires, interview, medical notes etc • Timing of questionnaires? – Baseline (prior to treatment) – Short term outcomes – Long term outcomes • Who collects the data?
  • 9.
    Health Services ResearchUnit Sources of systematicSources of systematic errorserrors • Selection bias – can be introduced by the way in which comparison groups are assembled • Attrition bias – systematic differences in withdrawal/follow up • Performance bias – Systematic differences in care provided • Observation/detection bias – systematic differences in observation, measurement, assessment
  • 10.
    Health Services ResearchUnit What is a randomised controlled trial?What is a randomised controlled trial? Simple Definition • A study in which people are allocated at random to receive one of several interventions (simple but powerful research tool)
  • 11.
    Health Services ResearchUnit Simple RCT modelSimple RCT model Trial participantsTrial participants RANDOMLYRANDOMLY allocatedallocated to experimentalto experimental oror CONTROLCONTROL groupgroup CONTROLCONTROLEXPERIMENTEXPERIMENT
  • 12.
    Health Services ResearchUnit What is aWhat is a randomisedrandomised controlled trial?controlled trial? • Random allocation to intervention groups • all participants have equal chance of being allocated to each intervention group why RCTs are referred to as randomised controlled trials
  • 13.
    Health Services ResearchUnit TerminologyTerminology • Interventions are comparative regimes within a trial • Prophylactic, diagnostic, therapeutic e.g. – preventative strategies – screening programmes – diagnostic tests – drugs – surgical techniques
  • 14.
    Health Services ResearchUnit What is a randomisedWhat is a randomised controlledcontrolled trial?trial? • One intervention is regarded as control treatment (the group of participants who receive this are the control group) • NOTE: Contemporaneous (not historical controls) why RCTs are referred to as randomised controlled trials
  • 15.
    Health Services ResearchUnit TerminologyTerminology Control Group • can be – conventional practice – no intervention (this may be conventional practice) – placebo Experimental Group • receive new intervention • (also called treatment group or intervention group interchangeably)
  • 16.
    Health Services ResearchUnit What is aWhat is a randomisedrandomised controlled trialcontrolled trial ?? • RCTs are – Experiments: investigators can influence number, type, regime of interventions – Quantitative: measure events rather than try to interpret them in their natural settings – Comparative: compare two or more interventions
  • 17.
    Health Services ResearchUnit What is a randomisedWhat is a randomised controlled trial?controlled trial? More Complex Definition • Quantitative, comparative, controlled experiments in which a group of investigators study two or more interventions in a series of participants who are allocated randomly to each intervention group
  • 18.
    Health Services ResearchUnit Inclusion/exclusion criteriaInclusion/exclusion criteria • Decision rules applied to potential trial participants to judge eligibility for inclusion in trial • See CONSORT statement www.consort-statement.org • Important that they are applied identically to all groups in a trial!
  • 19.
    Health Services ResearchUnit What is randomisation?What is randomisation? • Randomisation is the process of random allocation • Allocation is not determined by investigators, clinicians or participants • Equal chance of being assigned to each intervention group • Individual people – patients – caregivers (physicians, nurses etc) • Groups of people, ‘cluster randomisation’ • (Covered in more depth in later lecture)
  • 20.
    Health Services ResearchUnit Pseudo-randomisationPseudo-randomisation • Other allocation methods include – according to date of birth – the number on hospital records – date of invitation etc. • These are NOT regarded as random • These are called pseudo- or quasi- random
  • 21.
    Health Services ResearchUnit TerminologyTerminology • Controlled clinical trials (CCTs) are not the same as randomised controlled trials • Controlled clinical trials include non- randomised controlled trials and randomised controlled trials
  • 22.
    Health Services ResearchUnit Why use randomisation?Why use randomisation? • Characteristics similar across groups at baseline • can isolate and quantify impact of interventions with effects from other factors minimised • Risk of imbalance not abolished completely even if perfect randomisation • To combat selection bias Unpredictability paradox: review of empirical comparisons of randomised and non-randomised clinical trials, Kunz and Oxman 1998 BMJ http://www.bmj.com/cgi/content/abstract/317/7167/1185
  • 23.
    Health Services ResearchUnit Why do we need a control group?Why do we need a control group? • Don’t need a control group if completely predictable results – Parachutes when jumping from plane – New drug cures a few rabies cases • But – No intervention has 100% efficacy – Many diseases recover spontaneously
  • 24.
    Health Services ResearchUnit Regression to the meanRegression to the mean • Occurs when an intervention aimed at a group or characteristic that is very different from average • For example selecting people because they have high blood pressure then measuring them in future will see the blood pressure measurements closer to the mean of the population Morton and Torgerson BMJ 2003 326:1083-4 Bland and Altman BMJ 1994 308:1499 and 309:780
  • 25.
    Health Services ResearchUnit DISTRIBUTION OFDISTRIBUTION OF RESULTSRESULTS threshold measurement 1measurement 2
  • 26.
    Health Services ResearchUnit Hawthorne EffectHawthorne Effect • Experimental effect in the direction expected but not for the reason expected • Essentially studying/measuring something can change what you studying/measuring
  • 27.
    Health Services ResearchUnit Placebo EffectPlacebo Effect • Effect (usually, but not always positive) attributed to the expectation that a therapy will have an effect • The effect is due to the power of suggestion • A placebo is an inert medication or procedure Waber et al 2008 JAMA Commercial Features of Placebo and Therapeutic Efficacy http://jama.ama-assn.org/cgi/content/full/299/9/1016
  • 28.
    Effect size Experimental groupControl group Hawthorne E. R. mean Placebo E. Therapeutic E. Real difference Noise Signal EFFECT OF ANEFFECT OF AN INTERVENTIONINTERVENTION
  • 29.
    Health Services ResearchUnit Minimising bias in RCTsMinimising bias in RCTs • Blinding – Single blind – participants are unaware of treatment allocation – Double blind – both participants and investigators are unaware of treatment allocation – Requires use of placebos in drug trials Schulz and Grimes (2002)
  • 30.
    Health Services ResearchUnit Concealment of random allocation listConcealment of random allocation list • “Trials with inadequate allocation concealment have been associated with larger treatment effects compared with trials in which authors reported adequate allocation concealment” Schulz KF (1995). Subverting randomisation in controlled trials. JAMA, 274, 1456-8
  • 31.
    Health Services ResearchUnit Blinding, placebosBlinding, placebos • RCTs should use the maximum degree of blinding that is possible • Placebo is a ‘dummy’ treatment given when there is no obvious standard treatment – needed as the act of taking a treatment may have some effect -need to attribute – double blind treatments must be indistinguishable to those affected
  • 32.
    Health Services ResearchUnit Empirical evidence ofEmpirical evidence of biasbias MethodologicalIssue Increaseintreatment effect(OR) Inadequateconcealment of treatmentallocation 41% Unclearmethodofconcealment oftreatmentallocation 30% Trialnotblinded(whencould havebeen) 17% SchulzKFetal.JAMA1995;273:408-412
  • 33.
    Health Services ResearchUnit ‘‘Explanatory’ and ‘Pragmatic’Explanatory’ and ‘Pragmatic’ questionsquestions Explanatory • Can it work in an ideal setting …..? • Efficacy • Hypothesis testing • Placebo controlled • Double blind Pragmatic • Does it work in the real world …..? • Effectiveness • Choice between alternative approaches to health care • Standard care • Open
  • 34.
    Health Services ResearchUnit Key differences betweenKey differences between explanatory and pragmatic trialsexplanatory and pragmatic trials (1)(1) Explanatory Pragmatic Question efficacy effectiveness Setting ‘laboratory’ normal practice Participants strictly defined broader, clinically indicated (uncertainty) Interventions strictly defined as clinical practice
  • 35.
    Health Services ResearchUnit Key differences betweenKey differences between explanatory and pragmatic trialsexplanatory and pragmatic trials (2)(2) Explanatory Pragmatic Outcomes short-term long-term, patient- surrogates centered and resource orientated Size small (usually larger single centre) (often multi-centre) Analysis treatment received intention to treat Relevance indirect direct to practice
  • 36.
    Health Services ResearchUnit Example of selection biasExample of selection bias for PP in an open trialfor PP in an open trial Worse prognosisWorse prognosis ExEx pp CtrlCtrl None None White(2005) E E
  • 37.
    Health Services ResearchUnit Terminology: explanatoryTerminology: explanatory versus pragmaticversus pragmatic • Explanatory trials – estimates efficacy - that is the benefit the treatment produces under ideal conditions • Pragmatic trials – estimates effectiveness - that is the benefit the treatment produces under routine clinical practice Roland M, Torgerson D. What are pragmatic trials? BMJ 1998;316:285
  • 38.
    Health Services ResearchUnit RCT as the GoldRCT as the Gold StandardStandard • The randomised controlled trial is widely regarded as the gold standard for evaluating health care technologies because it allows us to be confident that a difference in outcome can be directly attributed to a difference in the treatments and not due to some other factor
  • 39.
    Health Services ResearchUnit RCT strengthsRCT strengths • Confounding variables minimised • Only research design which can in principle yield causal relationships – can clarify the direction of cause and effect • Accepted by EBM school • Don’t have to know everything about the participants
  • 40.
    Health Services ResearchUnit RCT limitationsRCT limitations • Contamination of intervention groups • Comparable controls • Problems with blinding • What to do about attrition? • Are patients/professionals willing to be in trial different from ‘refusers’?- external validity • Cost!
  • 41.
    Health Services ResearchUnit Other issues in RCTs (1)Other issues in RCTs (1) • Ethics • Management issues • Interim analysis and ‘stopping rules’ – part of ethical concern – mechanisms to avoid patient harm – Data Monitoring and Safety Committee required for trials Clemens F et al Data monitoring in randomised controlled trials: surveys of recent practice and policies. Clin Trials 2005;2(1):22-33.
  • 42.
    Health Services ResearchUnit Other issues in RCTs (2)Other issues in RCTs (2) • A power calculation is essential for the validity of a trial and will always be necessary for grant applications and in publications of the trial (later lecture) • The methods of randomisation should always be reported. It is not enough to say that the patients were randomly allocated to the treatments. (see CONSORT)
  • 43.
    Parallel group (simple)RCTParallel group (simple) RCT design in practicedesign in practice Patient eligible for either treatment Patient gives informed consent Yes No Randomise Exclude from trial Experimental treatment Standard treatment Standard treatment
  • 44.
    Health Services ResearchUnit SummarySummary • “Gold standard” of research designs • Individual patients are randomly allocated to receive the experimental treatment (intervention group) or the standard treatment (control group) • Maximises the potential for attribution • Randomisation guards against selection bias between the two treatment groups • Standard statistical analysis • Good internal validity • May lack generalisability due to highly selected participants • Can be costly to set up and conduct, ethical issues
  • 45.
    Health Services ResearchUnit Good study designGood study design General considerations • maximise attribution – Ensure no factor other than the intervention differs between the intervention and control group – Random allocation, if adequately carried out, will in the long run ensure comparable groups with respect to all factors • minimise all sources of error – systematic error (bias) – random error (chance) • be practical and ethical
  • 46.
    Health Services ResearchUnit Minimise sources of errorMinimise sources of error Systematic errors (bias) • “inaccuracy which is different in its size or direction in one of the groups under study than the others ” • Minimise bias by ensuring that the methods used are applied in the same manner to all subjects irrespective of which group they belong to. Random errors (chance) • “Inaccuracy which is similar in the different groups of subjects being compared” • Adequate sample size, accurate methods of measurement Elwood (1998)
  • 47.
    Health Services ResearchUnit Study designsStudy designs • Experimental (Randomised controlled trial) – A new intervention is deliberately introduced and compared with standard care • Quasi-experimental (non-randomised, controlled before and after) – Researchers do not have full control over the implementation of the intervention (“opportunistic research”) • Observational (Cohort, case-control, cross-sectional) – describes current practice – observed differences cannot be attributed solely to a “treatment” effect
  • 48.
    Health Services ResearchUnit Evaluation of health careEvaluation of health care interventionsinterventions • Randomised controlled trials are considered as the “gold standard” • However, some debate over the advantages and disadvantages of different research designs for assessing the effectiveness of healthcare interventions • Polarised views – “observational methods provide no useful means of assessing the value of a therapy” (Doll, 1993) – RCTs may be unnecessary, inappropriate, impossible or inadequate (Black, 1996) • Approaches should be seen as complementary and not as alternatives (Black, 1996) – Interpretation of RCTs in terms of generalisability
  • 49.
    Health Services ResearchUnit Useful/interesting linksUseful/interesting links • www.jameslindlibrary.org (History) • www.consort-statement.org (CONSORT) • www-users.york.ac.uk/~mb55/pubs/pbstnote.htm (All the stats notes from BMJ) • www.ctu.mrc.ac.uk (MRC CTU) • www.rcrt.ox.ac.uk (under construction) • Doll R. Clinical Trials the 1948 watershe BMJ 1998;317:1217- 1220 • The unpredictability paradox: review of empirical comparisons of randomised and non-randomised clinical trials Regina Kunz and Andrew D Oxman BMJ 1998 317: 1185-1190
  • 50.
    Health Services ResearchUnit ReferencesReferences • Black. Why we need observational studies to evaluate the effectiveness of health care. BMJ 1996: 312;1215-8 • Crombie. Research in Health Care. 1996 • Doll. Doing more good than harm: the evaluation of health care interventions. Ann NY Acad Sci 1993:703;310-13 • Elwood M. Critical appraisal of epidemiological studies and clinical trials. 1998 OUP; Oxford. • Greenhalgh T. How to read a paper. 2001 BMJ; London • Schulz and Grimes. Lancet Epidemiology series. 2002

Editor's Notes

  • #32 Use blinding in RCTs to avoid biases - nonone knows which treatment is given to the groups of patients so they cant prejudge to effects of the treatment give definition of a placebo - must be identical in every way define double blind - ie when no one directly involved knows the treatment status, not patient assessor nor investigator single blind is where patient does not know open - everyone knows
  • #37 No good reason to expect the remaining groups to be equivalent
  • #39 Remember what I said in the first lecture - the RCT is for answering questions about evaluation of the effectiveness and efficiency of treatments ie how much questions - what is the effect of - we use different methods to answer other questions, such as why do people in one part of UK appear to have a better out come from a treatment than people in another geographical location. An RCT does not tell us why something is the in the true sense - ie it will not tell us why aspirin might be better than paracetamol for certain headaches, only that some outcome is better for a group of patients receiving aspirin than the paracetamol patients - be careful of using the word cause
  • #40 Read down confounding variables are those things about the patients which might be resulting in differences between two groups but we may have have no way of determining describing or measuring them properly It’s the only design which can in principle yield causal relationships (caution - we may never know the nature of that realtionship0 - philosophy of science) Can clarify but we will never know or prove anything see philosophy of science
  • #41 Attrition or drop out Intention to treat - try to account for all patients who started out at beginning of study - lots drop out - is this telling you something about one of the treatments Accounting may not be possible - would like to test them before they drop out or die, but cant always! In that case base an assessment of these patents on the most recent measure you have available Something about those in agreeing to trial different from rest of population? -affects generalisbaility contamination - slts giving slt and non slt in rct surgeon doing both operations Patients in ward with new advice passing it to those on the other ward RCT is an experiment - more controlled by its very nature than the chaos of the real world of practice and people
  • #47 Give examples of bias selection sampling recall contamination withdrawl compliance measurement bias observer bias data dredging post hoc significance