1 Health and Disease in Populations 2002 Session 8 – 21/03/02 Randomised controlled trials 1 Dr Jenny Kurinczuk.

Slides:



Advertisements
Similar presentations
Lesson 4 Testing Medicines Scientifically
Advertisements

Randomized controlled trials
Randomized Controlled Trial
Predictors of Recurrence in Bipolar Disorder: Primary Outcomes From the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) Dr. Hena.
Comparator Selection in Observational Comparative Effectiveness Research Prepared for: Agency for Healthcare Research and Quality (AHRQ)
Basic Experimental Design
Observational Studies and RCT Libby Brewin. What are the 3 types of observational studies? Cross-sectional studies Case-control Cohort.
Study Designs in Epidemiologic
Introduction Clinical trials Why clinical trials? The Clinical Trial Process Informed consent Patients‘ interests Rights and protection Trials Registers.
KINE 4565: The epidemiology of injury prevention Randomized controlled trials.
1 Health and Disease in Populations 2002 Week 9 – 2/5/02 Randomised controlled trials 2 Dr Jenny Kurinczuk.
The Bahrain Branch of the UK Cochrane Centre In Collaboration with Reyada Training & Management Consultancy, Dubai-UAE Cochrane Collaboration and Systematic.
天 津 医 科 大 学天 津 医 科 大 学 Clinical trail. 天 津 医 科 大 学天 津 医 科 大 学 1.Historical Background 1537: Treatment of battle wounds: 1741: Treatment of Scurvy 1948:
Experimental Design making causal inferences. Causal and Effect The IV precedes the DV in time The IV precedes the DV in time The IV and DV are correlated.
Clinical Trials Hanyan Yang
How Science Works Glossary AS Level. Accuracy An accurate measurement is one which is close to the true value.
TREATMENT 2 Evaluation of interventions Types of RCT Blinding.
By Dr. Ahmed Mostafa Assist. Prof. of anesthesia & I.C.U. Evidence-based medicine.
Cohort Studies Hanna E. Bloomfield, MD, MPH Professor of Medicine Associate Chief of Staff, Research Minneapolis VA Medical Center.
Experimental Study.
Study Designs By Az and Omar.
Introduction to the Design of Experiments
Multiple Choice Questions for discussion
Designing and Managing Drug and Substance Abuse Clinical Trials Chapter 1: What Is a Clinical Trial? (Beta Version)
Critical Reading. Critical Appraisal Definition: assessment of methodological quality If you are deciding whether a paper is worth reading – do so on.
EBD for Dental Staff Seminar 2: Core Critical Appraisal Dominic Hurst evidenced.qm.
CHP400: Community Health Program - lI Mohamed M. B. Alnoor Research Methodology STUDY DESIGNS Observational / Analytical Studies Present: Disease Past:
1 Experimental Study Designs Dr. Birgit Greiner Dep. of Epidemiology and Public Health.
Epidemiology The Basics Only… Adapted with permission from a class presentation developed by Dr. Charles Lynch – University of Iowa, Iowa City.
ECON ECON Health Economic Policy Lab Kem P. Krueger, Pharm.D., Ph.D. Anne Alexander, M.S., Ph.D. University of Wyoming.
October 15. In Chapter 2: 2.1 Surveys 2.2 Comparative Studies.
Study design P.Olliaro Nov04. Study designs: observational vs. experimental studies What happened?  Case-control study What’s happening?  Cross-sectional.
Experimental Design making causal inferences Richard Lambert, Ph.D.
LT 4.2 Designing Experiments Thanks to James Jaszczak, American Nicaraguan School.
Grobman, K. H. "Confirmation Bias." Teaching about. Developmentalpsychology.org, Web. 16 Sept Sequence Fits the instructor's Rule? Guess.
CHP400: Community Health Program - lI Research Methodology STUDY DESIGNS Observational / Analytical Studies Present: Disease Past: Exposure Cross - section.
Experimental Studies Randomized Trials Clinical Trials.
Lecture 5 Objective 14. Describe the elements of design of experimental studies: clinical trials and community intervention trials. Discuss the advantages.
Study Session Experimental Design. 1. Which of the following is true regarding the difference between an observational study and and an experiment? a)
How to find a paper Looking for a known paper: –Field search: title, author, journal, institution, textwords, year (each has field tags) Find a paper to.
EXPERIMENTAL EPIDEMIOLOGY
Causal relationships, bias, and research designs Professor Anthony DiGirolamo.
Unit 3: Credibility of Health Claims. Credibility of health claims How do you know what to believe? What makes information reliable? Can you really lose.
Understanding Experiments Lecture 12 Section 3.5 Tue, Feb 6, 2007.
How to Analyze Therapy in the Medical Literature (part 1) Akbar Soltani. MD.MSc Tehran University of Medical Sciences (TUMS) Shariati Hospital
Critical Reading. Critical Appraisal Definition: assessment of methodological quality If you are deciding whether a paper is worth reading – do so on.
Study designs. Kate O’Donnell General Practice & Primary Care.
Critical Appraisal (CA) I Prepared by Dr. Hoda Abd El Azim.
Sifting through the evidence Sarah Fradsham. Types of Evidence Primary Literature Observational studies Case Report Case Series Case Control Study Cohort.
Randomised and Controlled Trials The Unofficial Guide by Goadsby&Gould.
This material was developed by Oregon Health & Science University, funded by the Department of Health and Human Services, Office of the National Coordinator.
EVALUATING u After retrieving the literature, you have to evaluate or critically appraise the evidence for its validity and applicability to your patient.
Types of Studies. Aim of epidemiological studies To determine distribution of disease To examine determinants of a disease To judge whether a given exposure.
Levels of Evidence Dr Chetan Khatri Steering Committee, STARSurg.
EVIDENCE-BASED MEDICINE AND PHARMACY 1. Evidence-based medicine 2. Evidence-based pharmacy.
Statistics 100 Lecture Set 4. Lecture Set 4 Chapter 5 and 6 … please read Read Chapter 7 … you are responsible for all of this chapter Some suggested.
1 Study Design Imre Janszky Faculty of Medicine, ISM NTNU.
Case control & cohort studies
Introduction to General Epidemiology (2) By: Dr. Khalid El Tohami.
 Experimental epidemiology; Randomized Control Trail Dr. Asif Rehman.
Epidemiological Study Designs And Measures Of Risks (1)
Ch. 13 – Experiments and Observational Studies Part III – Gathering Data.
Evidence-based Medicine
Experiments and Observational Studies
کارآزمایی بالینی.
11/20/2018 Study Types.
Experimental Studies.
Statistical Reasoning December 8, 2015 Chapter 6.2
Clinical Trials of Vaccines and Drugs
Level of Evidence Lecture 4.
Presentation transcript:

1 Health and Disease in Populations 2002 Session 8 – 21/03/02 Randomised controlled trials 1 Dr Jenny Kurinczuk

2 Lecture objectives You should be able to: 1.Outline the steps involved in a randomised controlled trial 2.Discuss the benefits of random allocation, blindness and other strategies for avoiding bias in the estimation of treatment effects

3 3. Discuss the ‘placebo effect’ and how to deal with it 4. Describe what a ‘placebo’ is, when it is used and be able to distinguish the terms ‘placebo’ and ‘placebo effect’

4 What is a clinical trial ? “Any form of planned experiment which involves patients and is designed to elucidate the most appropriate method of treatment of future patients with a given medical condition.” Stuart Pocock 1983

5 Background Observational - Cohort studies Case control studies Case series Case reports Ecological studies Experimental - Randomised controlled trials

6 In an observational study the researcher has no control over who is exposed to what – we cannot decide who smokes cigarettes and who doesn’t – we just observe and look for differences in outcome ! In contrast, in an experiment, the researcher is in control of who is exposed to what

7 Cohort studies Time Observe Exposed Outcome Unexposed

8 Randomised controlled trials Time Have control Treatment A Outcome Treatment B

9 The questions that randomised controlled trials are designed to answer Is treatment A better than treatment B? Treatment A – usually a new treatment Treatment B - usually the standard (old) treatment - there may not be an old treatment available

10 Outline of the steps involved in the randomised controlled clinical trial method Define the disease of interest Define the treatments, A & B, that are to be tested Define the patients eligible for inclusion in the trial

11 Identify a suitable group of patients Invite them to be in the study Obtain written informed consent from those willing to participate (but are free to drop out at any stage)

12 Allocate half of the patients to receive treatment A and half to receive treatment B Perform the allocation in an unbiased way Follow the patients up in an unbiased way, for an appropriate length of time, to determine the outcome

13 Compare the outcomes in the two groups (in an unbiased way) to see: –If there is a difference in outcome between the two treatments A & B –How big the difference is - is it a clinically important difference? –Whether the difference is attributable to the treatment

14 Defining treatments A & B Accessing patients Allocating the patients to treatment Assessing & comparing the outcomes Essential feature in all the stages – avoiding (minimising) bias

15 Objective 2: Avoiding/minimising bias - randomisation & blinding Bias –Getting the wrong answer –Systematically favouring one group over the other in a way that results in a misleading answer about which treatment is best

16 Patient allocation to treatment and avoiding bias Allocate half of the patients to receive treatment A and half to receive treatment B Perform the allocation without being biased RANDOMISE them

17 Why randomise ? Random allocation to the two treatment groups performs the allocation avoiding bias : –It avoids the clinicians’ influencing which type of patients (eg. less sick) receive which treatment –This is a form of selection bias

18 Why randomise ? In the long run randomisation leads to a balance between the numbers and characteristics for patients on A & B The two groups will be similar for characteristics such as age distribution – and other confounders

19 Why randomise ? Randomisation deals with confounding for factors (such as age and sex) that we know about AND factors we don’t know about, but which may influence the prognosis This is the unique benefit of RCTs and the reason why RCTs give such strong evidence about causality

20 How to randomise ? Toss of a coin – heads = A tails = B Use random number tables Odds = A Evens = B Computer generated random numbers

21 Comparing outcomes and avoiding/minimising bias Follow the patients up, in an unbiased way, to determine the outcome If the assessing clinician knows which group was treated with which drug this may influence their assessment of the outcome

22 Comparing outcomes Use objective, valid, reliable and practical outcome measures which are defined before the start of the trial Apply the outcome measures without knowledge of which treatment the patients’ received To do this properly it is usually necessary to be BLIND to the treatment allocation at the start of the trial

23 Blindness Who should be blind ? The allocating clinician (to avoid bias in allocation) The patient – may change behaviour (& placebo effect) The clinician assessing the effects of treatment DOUBLE BLIND

24 How to achieve blindness Make the two treatment look and taste the same The dosing method and regimen should be the same Number the bottles and only the pharmacy will have the code to identify which is treatment A and which is B

25 Objective 3: ‘Placebo effect’ What if there is no standard (old) treatment? Do we give one group the tablets and the other group no tablets? What effect might that have?

26 The effect of having only one group of patients on treatment Is an improvement in the condition of the treated group due to: –The drug? OR –The act of being treated/cared for in some way?

27 ‘Placebo effect’ “Even if therapy is irrelevant to the patient’s condition the patient’s attitude to his illness, and indeed the illness itself, may be improved by a feeling that something is being done about it.” Pocock 1983, pg 92

28 ‘Placebo effect’ “Many patients could be effectively treated by placebos, inert and preferably attractive pills, especially if the doctor was persuasive as to their value.” Gribbins, 1981

29 Objective 4: Placebos and their use Placebo – inert substance, formulated to look like the active drug with which they are being compared Used in circumstances where there is no standard treatment for comparison with the new treatment

30 No standard treatment – because there just is none and so placebo is the only ‘treatment’ the patient receives Cancer (multiple) treatment – Drugs X + Y + Z + ‘new drug’ Drugs X + Y + Z + ‘placebo’

31 Use of placebo is a form of deception Therefore, it is essential that if patients are in a trial which involves the use of a placebo that they are informed that they may receive a placebo

32 Summary Defined what randomised controlled trials are and the steps involved Considered closely the issues of avoiding/minimising bias: random allocation (randomisation), blinding use of placebos

33 Any Questions ?

34 An early clinical trial “On 20 th May 1747 I took 12 patients in the scurvy on board the ‘Salisbury’. The cases were as similar as I could have them. They all had putrid gums, spots and lassitude… They laid together… and had one diet, common to all… two drank cider, two others Elixir Vitriol, two others vinegar, two sea water, two oranges and lemons and two others nutmeg.

35 The consequences was that the most sudden and good effects were perceived from the use of oranges and lemons, one being at the end of six days fit for duty… the other was best recovered of any…” Lind 1753

36 The first clinical trial with a randomised control group Medical Research Council trial of the use of steptomycin in the treatment of tuberculosis (1948)