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Evidence-based medicine process Yodying Punjasawadwong MD., M.Med.Sc, FRCAT Department of Anesthesiology Chiang Mai University Faculty of Medicine, Chiang Mai University 17 November, 2011
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Contents: Definition of evidence-based medicine Steps in evidence based practice Asking answerable clinical questions Matching research designs to clinical questions A clinical question map for searching ( example ) Example Level of evidence and recommendation
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Definition “Evidence Based Medicine is the conscientious, explicit and judicious use of current best evidence in making decision about the care of individual patients. “ Evidence Based Practice of Medicine is the integration of the best available research evidence with clinical expertise, patient values, and circumstance” ( Gordon Guyatt 1992 )
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Four steps in evidence-based practice 1.Formulation a clear clinical question 2.Search the literature for relevant articles 3.Critically appraise the evidence for its validity and usefuleness 4.Implement useful finding in clinical practice
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Assess patient Ask clinical question Acquire the evidence(s) Appraise The evidence(s) Apply the best evidence Assess your performance How to practice EBM (the 6 A s) Recognize the knowledge gaps Recognize the knowledge gaps Use the PICO structure to form a question Use the PICO structure to form a question Search recent literature Search recent literature Search EBM resources or societies guidelines Search EBM resources or societies guidelines Use provided worksheets Use provided worksheets Use available software (catnipper) Use available software (catnipper) Rank the level of evidences and apply the best Rank the level of evidences and apply the best Integrate this with patient values and clinical expertise Integrate this with patient values and clinical expertise In the frequency of performing the whole process In the frequency of performing the whole process In the efficiency of performing each step In the efficiency of performing each step History, physical exam and investigation History, physical exam and investigation Clinical expertise Clinical expertise
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Asking answerable clinical questions:
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Why structure questions ? 1.Ensures efficient search strategy 2.Requires you to consider the patient populations.. From which evidence can be generalized to your patient 3.Defines your options for intervention (exposure/study factor) vs. comparator 4.Defines the important outcomes ( to you; your patient; society) 5.Defines the most valid study design
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What questions do we answer? : Most urgent : Most interesting : Most feasible to answer :Most likely to recur : Most examinable
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Two types of clinical questions Background Foreground
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Two types of clinical questions Background Foreground ---------------------- ------------------------ Elements 2-part 4(or3) part,PICO Focus general specific Asked by learners clinicians/patients Example What is… What is wrong with me? How dose.. Why am I sick ? What is going to happen? How should I be treated ? Answer stable..from up to date..from text book research data
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Background Q- textbooks Not “ dated ” Foreground Qs-Med Js. “Dated” information student intern resident consultant Experience Rx Dx Px Pathology Physiology Anatomy
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Anatomy of question P = Population (Among) I = Intervention (Does) C = Comparison (vs.) O = Outcome (Affect) M = Method (optimal study design)
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Clinical Issues and Questions in the Practice of Medicine Diagnosis Prevalence Incidence Risk Prognosis Treatment Prevention Cause
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Matching the strongest design to clinical questions Diagnosis Cross-sectional Prevalence Incidence Risk Prognosis Treatment Prevention Cause
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Matching the strongest design to clinical questions Diagnosis Cross-sectional Prevalence Cross-sectional Incidence Risk Prognosis Treatment Prevention Cause
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Matching the strongest design to clinical questions Diagnosis Cross-sectional Prevalence Cross-sectional Incidence Cohort Risk Prognosis Treatment Prevention Cause
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Matching the strongest design to clinical questions Diagnosis Cross-sectional Prevalence Cross-sectional Incidence Cohort Risk Cohort, Case-control Prognosis Cohort Treatment Prevention Cause
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Matching the strongest design to clinical questions Diagnosis Cross-sectional Prevalence Cross-sectional Incidence Cohort Risk Cohort, Case-control Prognosis Cohort Treatment RCT Prevention RCT Cause
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Matching the strongest design to clinical questions Diagnosis Cross-sectional Prevalence Cross-sectional Incidence Cohort Risk Cohort, Case-control Prognosis Cohort Treatment RCT Prevention RCT Cause Cohort, Case-control
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Trish’s scenario Trish, a secretary, is planning a quick trip to & from the U.K ( ‘ long haul’) to visit her sick aunt - Trish is aged 59 yrs, post-menopausal, taking HRT & is overweight. - She has read in newspaper: compression stockings stop DVTs’ - Trish asks you; “ Should I wear compression stockings on the plane ?
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Framing the question Population ‘ air travel/ traveler” Intervention ‘ compression stockings’ Comparison ‘ not use compression stockings” Outcome ‘ deep vein thrombosis
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Asking Question: Among air travelers (P) Do compression stockings (I) Compared with not using (C) Affect ( the rate of ) DVTs (O) ?
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A clinical question ‘map’ Why ? : Suggests best study design : Assists plan search strategies
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A clinical question ‘map’ Question Study type Data base Best one-line search term ------------- ------------ ------------- -------------------------------- Diagnosis cross sectional, analytic Medline sensitivity. tw Etiology cohort, case-control Medline risk. tw Prognosis cohort Medline Exp cohort studies/ Intervention RCTs Medline clinical trial.pt Systematic review Cochrane Meta analysis.pt or Library
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Question and search Among air travelers (P) Do compression stockings (I) Affect ( the rate of ) DVTs (O) ? Study type: RCTs Searching - Medline
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Med line : Search for RCT “ PubMed” Use searching terms based on PICO (Other interfaces: apply ‘ limited’ Publication Type- RCT..if excessive)
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Searching result 1.Deep vein thrombosis and airtrvel-the deadly duo. AORN J 2003 Feb; 77(2):346-54 2.Air travel and venous thrombosis Tidsskr Nor Laegeforen. 2002 Jan:122(16):1579-81. Norwegian 2.Thromboembolism in travelers Orv Hetil 2001 Nov 11; 142 (45): 2469- 73. Review Hungarian 4.Venous air thrombo-embolism from air travel the LONGFLIT study. Angiology. 2001 June;52(6):369-74 5.Frequency and prevention of symptomless deep-vein thrombosis in long haul flight: a randomized trial. Lancet 2001 May 12; 357(9267):1485- 6. Economy class syndrome Aviates Space Environ Med 1994 Oct; 65(10 part 1):957-60
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Selecting articles 1.Deep vein thrombosis and airtrvel-the deadly duo. AORN J 2003 Feb; 77(2):346- 54 2.Air travel and venous thrombosis Tidsskr Nor Laegeforen. 2002 Jan:122(16):1579- 81. Norwegian 2.Thromboembolism in travelers Orv Hetil 2001 Nov 11; 142 (45): 2469-73. Review Hungarian 4.Venous air thrombo-embolism from air travel the LONGFLIT study. Angiology. 2001 June;52(6):369-74 5.Frequency and prevention of symptomless deep-vein thrombosis in long haul flight: a randomized trial. Lancet 2001 May 12; 357(9267):1485-9 6. Economy class syndrome Aviates Space Environ Med 1994 Oct; 65(10 part 1):957- 60
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Clinical problem Define important, searchable question Design search strtegy Select relevant studies Critical appraisal Apply the evidence Select second most likely resource Design search strategy Critical appraisal Apply the evidence Po or Basic Steps for Acquiring the Evidence to Support a Clinical Decision Sackets DL et al. 1998
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Categories of evidence I I : Experimental study design/randomized controlled trial(RCT) II: Quasi experimental study design/ non-randomized controlled study design III:Non-experimental study design such as cohort studies, correlation studies and case-control studies IV: Evidence from expert committee reports or opinions/and/or clinical experience of respect authorities ( adaped from AHCPR 1992 )
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Categories of evidence I Ia : evidence from systematic review/meta-analysis of RCT Ib: evidence from at least one RCT IIa: evidence from at least one controlled study without randomization IIb:evidence from at least one other type of quasi-experimental studies III:evidence from non-experimental studies, such as comparative studies, correlation studies and case-control studies IV:evidence from expert committee reports or opinions/ and /or clinical experience of respect authorities
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Strength of recommendation A directly based on category I evidence B directly based on category II evidence or extrapolated recommendation from category I evidence C directly based on category III evidence or extrapolated recommendation from category I or II evidence D directly basd on category IV evidence or extrapolated recommendation from category I,II or III evidence
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Factors contributing to the process of deriving recommendations The nature of evidence ( e.g. its susceptibility to bias) The applicability of the evidence to the population of interest(its generaliaability) Resource implications and their cost Knowledge of the health care system Beliefs and value of the panel
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