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Instituto de Ortopedia e Traumatologia do Hospital das Clínicas
Faculdade de Medicina  da  Universidade de São Paulo

Prof. Tarcísio Eloy P. Barros Filho / Prof. Arnaldo Valdir Zumiotti / Prof. Olavo Pires de Camargo

 

CLINICAL TRIALS COURSE – 2008

 

Offered by Scholars in Clinical Science Program, Harvard Medical School


Organization: Scholars in Clinical Science Program, Harvard Medical School

Ajay Singh, MD, PhD; Felipe Fregni, MD, MBA; Lauren Dewey-Platt, PhD

 

Center of Acupuncture IOT,  University of Sao Paulo,  School of Medicine

Wu  Tu  Hsing, MD, PhD; Marta Imamura, MD, PhD

 

 

 

Start: March 13th 2008

 

 

TARGET:  Academics for the health care system, researchers, health care legislators, professionals from pharmaceutical companies.

 

 

COURSE OBJECTIVES: Provide theoretical understanding of the design, conduction, analysis and interpretation of randomized controlled trials of health interventions.  Develop skills to scrutinize information, critically analyze and carry out research, and to communicate effectively.

 

Other clinical research courses are offered in Boston by the Scholars of Clinical Science Program from Harvard Medical School www.hms.harvard.edu/gradprograms/scsp/  (45 days: US$ 15,000; 2-year course: US$60,000, with a 26% approval rate for foreign students); Department of Health Policy, Management and Evaluation at University of Toronto http://www.hpme.utoronto.ca/ (one year: CND$14,252.82 to 18,452.82 for international applicants).

 

 

DURATION: 7 months (March 13rd to October 26th 2008)

 

 

FACULTY MEMBERS: Harvard Medical School, Harvard School of Public Health, Harvard Business School

 

 

SCHEDULE: (the course will be in English, without translation)           

 

• Weekly lectures by teleconference:                   

Every Thursday 6pm to 9pm

                   Brasilia time zone (GMT-3:00) 

                   U.S. Eastern time 5pm to 8pm.

                   From March to September/2008 

 

• Live 4-day intensive course:

October 23rd-26th, 2008  

         Monday to Thursday 8am to 6pm      

         Classes will be given at Maksoud

         Plaza Hotel – São Paulo, Brazil

 

 

 

FEES:         Registration fee:          US$ 3,500.00
Monthly fee:                 US$    500.00     (6 months: March to September/08)

 

 

ELIGIBILITY: Health care PhD holder or director of a health care service

 


NECESSARY DOCUMENTATION:

2 recent photos ID, professional license, PhD diploma, a statement of chief or director of a health service letter

Submit curriculum vitae for approval by e-mail to mpattylima@hcnet.usp.br

 

 

 

In order to receive a certification letter at the end of the course, the student must accomplish:

1.      Attendance in at least 5 (out of 6) lectures of each module (total of at least 20 lectures);

2.      Full attendance in the 4-day onsite intensive course;

3.      score of 80% or more in the final examination to be performed at the end of the 4-day onsite intensive course.

 

INFORMATIONS:

Centro de Estudos Godoy Moreira

Instituto de Ortopedia e Traumatologia  HC/FMUSP

8:00am to 4:00pm by  phone:       55-11 3086-4106

                                      fax:             55-11 3086-4105

          E-mail: martaimf@gmail.com  / wu@fmusp.org.br / mpattylima@hcnet.usp.br

 

Rua Ovídio Pires de Campos, 333  2º andar

Cerqueira César – São Paulo – SP

CEP 05403-010      BRAZIL

 

 

 

 

 

 

 

 

Scholars in Clinical Science Program, Harvard Medical School

 

Clinical Trials Course

March/2008 – October/2008

 

Course Syllabus

 

Course directors:

Ajay Singh, MD, MBA

5 Francis Street 
Boston, MA 02115 - 
Tel: 617-732-5951

Email: asingh@partners.org

 

Felipe Fregni, MD, PhD

330 Brookline Ave – KS 158 – Boston, MA – Tel: 617-667-5272

Email: ffregni@bidmc.harvard.edu

 

Executive director:

Lauren Dewey-Platt, PhD

260 Longwood Avenue, Suite 157 - Boston, MA  02115 – tel: 617-432-1387

Email: lauren_deweyplatt@hms.harvard.edu

 

 

Course Description

This course is relevant both for those wishing to gain an overall understanding of clinical trials before moving into the field and for those who have general or specialist experience in this area and aim to broaden their role in the design, management, analysis, and reporting of clinical trials.

 

Course Organization:

This is a video-conference course in which 24 lectures (divided in 4 modules) will be broadcast to students in University of Sao Paulo (Sao Paulo, Brazil). This course is a prerequisite for the intensive, live 4-day course in Brazil (October, 2008). Students will be prepared for lectures that will comprise 1-hour lecture followed by 1-hour period of discussion.

 

Course Objectives

The course aims to provide participants with a theoretical understanding of the issues involved in the design, conduct, analysis, and interpretation of randomized controlled trials of health interventions.  It is suitable for students working in a country like Brazil.  Students will be trained to develop skills to scrutinize information, to critically analyze and carry out research, and to communicate effectively.


 

 

The course is divided in four modules – each module having 6 lectures each:

 

Module 1 – Basics of Clinical Research

Will provide students with a solid understanding of the basic issues in the design of clinical trials.  Outline the fundamental principles of clinical trials including study population, selection of questions, basic study design, randomization process and blindness.

 

Module 2 - Basic Statistics

Will introduce the basic statistical methods used in clinical trials.  How to select and apply appropriate statistical methods to analyze data from clinical trials and presenting, interpreting, and discussing the analyses clearly and concisely.

 

Module 3 - Assessment, Data Collection and Reporting

The main features of clinical trials, including methodological and organizational considerations, and the principles of trial conduct and reporting will be discussed.  Preparing the protocol for a trial, including data collection forms, logistical and budgetary issues are critical issues when designing a clinical trial.

 

Module 4 – Study Designs

Will introduce the main study designs used in clinical trials. Advantages and drawbacks of each design will be presented; including also the analytical methods and issues of different study designs.

 

 

Text and Required Readings

 

Required book:

1.    Foundations of Clinical Research: Applications to Practice (3rd Edition) (Foundations Of Clinical Research) by Leslie Gross Portney, Mary P. Watkins. Pearson Prentice Hall.

Optional books:

1.    Clinical Epidemiology: How to Do Clinical Practice Research (third edition) by R. Brian Haynes, David L Sackett, Gordon H Guyatt, Peter Tugwell. Lippincott Williams & Wilkins.

2.    Clinical Epidemiology: The Study of the Outcome of Illness (third edition) by Noel S. Weiss. Oxford University Press.

 

Additional readings and assignments will be distributed in the course package.

 

 

Exams and final project:

Pass-fail grading will be based on exams at the end of each module and a grant application that the student will develop along the course and hand in at the end of the course. A certification letter at the end of the course will be given only to participants with satisfactory attendance and grade.

 

 

 

PROGRAM:
 

 

 

DISTANCE-LEARNING CLINICAL RESEARCH TRAINING

          

(24 weekly lectures of 2 hours of duration)

 

 

Module 1: Basics of Clinical Research

Lecture 1

13 March

Introduction to Clinical Trials

Steven Freedman, MD, PhD

Lecture 2

20 March

Study Population

Ajay Singh, MD, MBA

Lecture 3

27 March

Selection of the Questions

Felipe Fregni, MD, PhD, MMSc, MPH

Lecture 4

3 April

Basic Study Design

David Wypij, PhD

Lecture 5

10 April

The Randomization Process

David Wypij, PhD

Lecture 6

17 April

Blindness

Joe Massaro, PhD

Module 2: Statistics

Lecture 7

24 April

Statistics – Basics

Roger Davis, Sc.D.

Lecture 8

8 May

Statistical Tests

Felipe Fregni, MD, PhD

Lecture 9

15 May

Sample Size

Roger Davis, Sc.D.

Lecture 10

29 May

Survival Analysis

Roger Davis, Sc.D.

Lecture 11

5 June

Other Issues in Data Analysis 1

Felipe Fregni, MD, PhD, MMSc, MPH

Lecture 12

12 June

Other Issues in Data Analysis 2

Felipe Fregni, MD, PhD, MMSc, MPH

Module 3: Assessments and Data Collection

Lecture 13

19 June

Recruitment of Study Participants

Paul Conlin, MD

Lecture 14

26 June

Participant Adherence

Michael Corwin, MD

Lecture 15

3 July

Assessing and Reporting Adverse Events

John Ferguson, MD

Lecture 16

21 August

Data collection and quality control

Andrina Hougham, Medtronic

Lecture 17

28 August

Design and Analysis of Surveys

Ellen McCarthy

Lecture 18

4 September

Manuscript submission

Caren Solomon (deputy editor – New England Journal of Medicine)

Module 4: Study Designs

Lecture 19

11 September

Overview of Study Design

James Ware, PhD

Lecture 20

18 September

Observational Studies

Clarissa Valim

Lecture 21

25 September

Experimental Design - issues of             uncontrolled studies   

Clarissa Valim

Lecture 22

2 October

Confounders in observational studies: using the method of propensity score

Fran Cook

Lecture 23

9 October

Other designs

Rick Kuntz

Lecture 24

16 October

Experimental Design – Randomized Clinical Trials

Wafaie Fawzi

October 23rd - 26th Live 4-day intensive course:

Monday to Thursday 8am to 6pm      

Classes will be given at Maksoud Plaza Hotel – São Paulo, Brazil

 


 

Detailed Program

 

 

Distance-Learning Clinical Research Training

 

(24 weekly lectures of 2 hours of duration)

 

 

Module 1: Basics of Clinical Research

 

Lecture 1, 13 March 2008 – Steve Freedman (confirmed)

Introduction to Clinical Trials:

1.      ·        Why perform a clinical trial?

2.      ·        What is a clinical trial?

3.      ·        Phase I studies; Phase II studies; Phase III/IV studies

4.      ·        Introduction to ethics of Clinical Trials

 

Steven Freedman, MD, PhD

Associate Dean of Translational Medicine, Harvard Medical School

Associate Professor of Medicine, Harvard Medical School

Director, Pancreas Center

Chief, Translational Research, Beth Israel Deaconess Medical Center

 

BACK TO PROGRAM

 

 

 

Lecture 2, 20 March 2008 – Ajay Singh (case method example) (confirmed)

Study Population:

    1. Definition of study population
    2. Issues on generalization
    3. Practical aspects: recruitment

 

Ajay Singh, MD, MBA

Associate Professor of Medicine, Harvard Medical School

Clinical Chief, Renal Division, Brigham and Women's Hospital 

Director, postgraduate Harvard Medical School CME courses in nephorplogy and internal medicine

 

BACK TO PROGRAM

 

 

 

Lecture 3, 27 March 2008 – Felipe Fregni (confirmed)

Selection of the Questions:

    1. Primary question
    2. Secondary question
    3. Adverse effects
    4. Ancillary questions
    5. Natural history
    6. Frequent errors

 

Felipe Fregni, MD, PhD, MMSc, MPH

Assistant Professor of Neurology, Harvard Medical School

Instructor in Population and International Health, Harvard School of Public Health

Director, Clinical Trials Network, Beth Israel Deaconess Medical Center

 

BACK TO PROGRAM

 

 

 

Lecture 4, 3 April 2008 – David Wypij (confirmed)

Basic Study Design:

(note that detail of each study will not be given at this lecture)

    1. Observational studies
    2. Randomized control studies
    3. Nonrandomized concurrent control studies
    4. Historical controls/databases
    5. Cross-over designs
    6. Factorial design
    7. Studies of equivalence
    8. Large clinical trials

 

David Wypij, PhD

Senior Lecturer on Biostatistics, Harvard School of Public Health

 

BACK TO PROGRAM

 

 

 

Lecture 5, 10 April 2008 – David Wypij (confirmed)

The Randomization Process:

    1. Fixed allocation randomization
    2. Simple randomization
    3. Blocked randomization
    4. Stratified randomization
    5. Adaptive Randomization Procedures (baseline adaptive randomization procedures)
    6. Mechanisms of randomization

 

David Wypij, PhD

Senior Lecturer on Biostatistics, Harvard School of Public Health

 

BACK TO PROGRAM

 

 

 

 

Lecture 6, 17 April 2008 – Joseph Massaro (confirmed)

Blindness:

    1. Type of Trials – unblinded trials
    2. Single Blind Trials
    3. Double-blind Trials
    4. Triple blind trials
    5. Special problems in double blind studies – matching of drugs, coding of drugs and assessment of blindness

 

Joe Massaro, PhD

Assistant Professor of Biostatistics, Mathematics and Statistics, Boston University

Managing Director of Biostatistics and Data Management. Harvard Clinical Research Institute

 

BACK TO PROGRAM

 

 

 

 

Module 2: Statistics

 

Lecture 7, 24 April 2008 – Roger Davis (confirmed)

Statistics – Basics:

  1. Data classification
  2. Data distribution
  3. Descriptive methods for categorical data
  4. Descriptive methods for continuous data

 

Roger Davis, Sc.D.

Associate Professor in the Department of Biostatistics

Harvard School of Public Health

 

BACK TO PROGRAM

 

 

 

Lecture 8, 8 May 2008 – Felipe Fregni (confirmed)

Statistical Tests:

(note: only basics of statistical tests will be covered)

  1. Estimation of parameters
  2. Comparison of population proportions
  3. Comparison of population means
  4. Correlation and regression

 

Felipe Fregni, MD, PhD, MMSc, MPH

Assistant Professor of Neurology, Harvard Medical School

Instructor in Population and International Health, Harvard School of Public Health

Director, Clinical Trials Network, Beth Israel Deaconess Medical Center

 

BACK TO PROGRAM

 

 

 

Lecture 9, 15 May 2008 – Roger Davis (confirmed)

Sample Size:

  1. Dichotomous response variables (two independent samples, paired dichotomous response)
  2. Sample size for continuous response variables (two independent samples)
  3. Sample size for repeated measures
  4. Sample size for equivalency of interventional studies
  5. Estimating sample size parameters

 

Roger Davis, Sc.D.

Associate Professor in the Department of Biostatistics

Harvard School of Public Health

 

BACK TO PROGRAM

 

 

 

Lecture 10, 29 May 2008 – Roger Davis (confirmed)

Survival Analysis:

  1. Estimation of the survival curve (Kaplan Meier estimate)
  2. Comparison of two survival curves
  3. Covariate adjusted analysis
  4. Use of survival analysis in clinical research

 

Roger Davis, Sc.D.

Associate Professor in the Department of Biostatistics

Harvard School of Public Health

 

BACK TO PROGRAM

 

 

 

Lecture 11, 5 June 2008 – Felipe Fregni (confirmed)

Other Issues in Data Analysis 1:

    1. Poor quality or missing data
    2. Intention-to-treat analysis
    3. Competing events
    4. Covariate adjustment

 

Felipe Fregni, MD, PhD, MMSc, MPH

Assistant Professor of Neurology, Harvard Medical School

Instructor in Population and International Health, Harvard School of Public Health

Director, Clinical Trials Network, Beth Israel Deaconess Medical Center

 

BACK TO PROGRAM

 

 

 

Lecture 12, 12 June 2008 – Felipe Fregni (confirmed)

Other Issues in Data Analysis 2:

    1. Subgroup analyses
    2. Comparison of multiple variables
    3. Use of cutpoints
    4. Meta-analysis of multiple studies

 

Felipe Fregni, MD, PhD, MMSc, MPH

Assistant Professor of Neurology, Harvard Medical School

Instructor in Population and International Health, Harvard School of Public Health

Director, Clinical Trials Network, Beth Israel Deaconess Medical Center

 

BACK TO PROGRAM

 

 

 

 

 

Module 3: Assessments and Data Collection

 

Lecture 13, 19 June 2008 – Paul Conlin (confirmed)

Recruitment of Study Participants:

1.      ·        Strategies and Sources

2.      ·        Monitoring

3.      ·        Problems

4.      ·        Reasons for participation

5.      ·        Reducing dropout rates

 

Paul Conlin, MD

Associate Professor of Medicine, Harvard Medical School

Chief , Endocrinology section, VA Boston Health Care System

Course Director, Scholars in Clinical Science Program, Harvard Medical School

 

BACK TO PROGRAM

 

 

 

Lecture 14, 26 June 2008 – Michael Corwin (confirmed)

Participant Adherence:

1.      ·        Considerations before participant enrollment

2.      ·        Maintaining good participant adherence

3.      ·        Adherence monitoring

4.      ·        Special populations

 

Michael Corwin, MD

Associate Professor of Pediatrics, epidemiology and biostatistics, Boston University School of Medicine and Public Health

Lecturer, Scholars in Clinical Science Program, Harvard Medical School

 

BACK TO PROGRAM

 

 

 

Lecture 15, 3 July 2008 – John Ferguson (confirmed)

Assessing and Reporting Adverse Events:

    1. Determinants of adverse effects (length of follow-up, frequency of events and individual susceptibility)
    2. Reporting adverse events

 

John Ferguson, MD

Vice President and Global Head of Pharmacovigilance and Medical Safety at Novartis Vaccines and Diagnostics

 

BACK TO PROGRAM

 

 

 

Lecture 16, 21 August 2008 – Andrina Hougham

Data collection and quality control:

1.      ·        Problems in data collection (major problems)

2.      ·        Minimizing poor quality data

3.      ·        Training, pre-testing

4.      ·        Techniques to reduce variability

5.      ·        Data entry

6.      ·        Quality monitoring

 

BACK TO PROGRAM

 

 

 

 

Lecture 17, 28 August 2008 – Ellen McCarthy

Design and Analysis of Surveys:

·        Instrument design

·        Design of survey administration

·        Sample design

·        Data collection

·        Analysis

 

BACK TO PROGRAM

 

 

 

 Lecture 18, 4 September 2008 – Caren Solomon (deputy editor – New England Journal of Medicine)

Manuscript submission:

·        What makes a great paper

·        Tips to get your research published in high-impact journals

·        What high impact journals are interested to publish?

·        Is there bias in the review process?

 

BACK TO PROGRAM

 

 

 

 

 

Module 4: Study Designs

 

Lecture 19, 11 September 2008 – Jim Ware (confirmed)

Overview of Study Design:

1.      ·        Observational studies

2.      ·        Experimental studies – uncontrolled studies

3.      ·        Experimental studies - RCTs

4.      ·        Other designs – equivalence, non-inferiority studies

 

James Ware, PhD

Dean for Academic Affairs, Harvard School of Public Health

Frederick Mosteller Professor of Biostatistics, Department of Biostatistics, Harvard School of Public Health

Statistical Consultant, New England Journal of Medicine

 

BACK TO PROGRAM

 

 

 

Lecture 20, 18 September 2008 – Clarissa Valim

Observational Studies:

1.      ·        Basic designs of observational studies

2.      ·        Retrospective studies or cohort studies

3.      ·        Sample size

1.      ·        Bias and confounding

2.      ·        Control of bias

3.      ·        Control of the phenomenon of confounding

 

BACK TO PROGRAM

 

 

 

Lecture 21, 25 September 2008 – Clarissa Valim

Experimental Design - issues of uncontrolled studies:

·        Before and after comparison in a single group

·        Temporal variation of disease

·        Temporal variation of the staff, equipment and environment

·        Statistical regression to mean

·        Learning effect

·        Psychological effect

 

BACK TO PROGRAM

 

 

 

 

Lecture 22, 2 October 2008 – Fran Cook

Confounders in observational studies: using the method of propensity score:

·        The issue of confounders in observational studies

·        Methods to control for confounders

·        The method of propensity score

 

BACK TO PROGRAM

 

 

 

Lecture 23, 9 October 2008 – Rick Kuntz

Other designs:

·        Equivalence and non-inferiority studies

·        Interim analyses

·        Adaptive (flexible) design

·        Studies with repeated measurements

 

BACK TO PROGRAM

 

 

 

 Lecture 24, 16 October 2008 – Wafaie Fawzi

Professor of Nutrition and Epidemiology

Experimental Design – Randomized Clinical Trials:

·        Parallel-group design

·        Stratified parallel group design

·        Parallel group randomized block design

·        Complete cross-over design

·        Simultaneous treatments design

·        Factorial design

 

 

 

BACK TO PROGRAM