Measurement, Design, and Analysis Methods for Health Outcomes Research

September 25 – 27, 2017

  • $2,300

Harvard Longwood Campus, Boston, MA

This program is ideal for anyone interested in getting an intensive view of the fundamentals of health outcomes research.
  • —Michael Loechel

Program Overview

Health care systems around the world are facing growing pressures to provide more effective care at lower costs. Health outcomes research assesses the end results of health care services, providing evidence for the value of specific medical treatments or interventions that can be used to make better decisions and improve health care.

Measurement, Design, and Analysis Methods for Health Outcomes Research provides you with the language and concepts you need to synthesize outcomes studies into useful knowledge for effective clinical and business decision-making. You will learn to design, implement, critically review, and analyze health outcomes studies and gain an understanding of the statistical methods required for outcomes research. This program explores many aspects of health outcomes research, including:

  • Designing health outcomes research studies
  • Data collection considerations
  • Measurement and evaluation of outcomes data
  • Analysis and applications of studies

Why Health Outcomes Research is Important

Outcomes research is valuable largely because of the breadth of issues it addresses. A diverse and growing number of organizations – employers, health care delivery organizations, insurers, pharmaceutical companies, and governments – rely on health outcomes research for actionable data that will help them make better decisions about the value of different treatments and interventions. By improving the decision-making process across organizations, outcomes research increases the value of each dollar spent on health care.

Among other applications, outcomes research studies can be used to:

  • Help match treatments to individual patients, based on patient-specific criteria
  • Determine if specific treatments are over- or under-used for populations of patients
  • Incorporate non-traditional outcomes measures such as patient preference and quality of life into the decision-making process

Develop a Network of Professionals Focused on Improving Care

To ensure a truly rich experience, this program will host a diverse group of participants, brought together by their common goal of improving health care. During the program, you will network and engage with others working towards similar goals and exchange ideas on how best to solve problems you face every day.

Objectives & Highlights

As a participant, you will learn to:

  • Evaluate the usefulness of outcomes measures and the application of new technologies in organizations
  • Conceptually define the meaning and purpose of outcomes research
  • Understand the role of epidemiology, health economics, psychometrics and biostatistics in conducting outcomes research
  • Recognize the different types of measures used in outcomes research, including clinical, health status, quality of life, work/role and health care utilization, and patient satisfaction
  • Adopt new methods for modeling patient responses
  • Interpret statistical measurement concepts such as reliability, validity, responsiveness, sensitivity, and power
  • Understand statistical analysis appropriate for outcomes research, including analysis of longitudinal and categorical data
  • Synthesize findings from a variety of health outcomes research studies
  • Compare the effectiveness of different treatments for the same illness

Credits, Fees, and Logistics

Please note: A laptop or other portable personal computing device is strongly recommended for course enrollees.

Accommodations

The Hilton Boston Back Bay
40 Dalton Street
Boston, MA 02115-3123
USA TEL: +1-617-236-1100 FAX: +1-617-867-6104
$279/night plus 14.45% tax, includes guestroom internet

To book online visit: Click here

A limited number of rooms have been reserved at a reduced rate until August 25, 2017 . These rooms are available on a first-come, first-served basis. Please be advised that hotels in the Boston area can sell out very quickly. We recommend making your hotel reservation as soon as you receive registration and payment confirmation. Please mention group code Measurement, Design and Analysis and Harvard T.H. Chan School of Public Health to receive the special rate.

The Hilton is approximately 1.5 miles from the program location. Subway, bus, and taxi services are available in front of the hotel.

Program Check-in

Harvard T.H. Chan School of Public Health
FXB Building
651 Huntington Avenue
Boston, MA 02115
617.432.2100

The program takes place at Harvard T.H. Chan School of Public Health, located in the heart of the Harvard Longwood Campus in Boston. Public transportation is also readily available to the city’s many shopping districts, museums, and restaurants.

For directions, please click here.

Continuing Education Credits

The Harvard T.H. Chan School of Public Health is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. The Harvard T.H. Chan School of Public Health designates this activity for AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Continuing Education Units (CEUs)*, Harvard T.H. Chan School of Public Health, equivalent to contact hours of education.

*Participants can apply these contact hours toward other professional education credits. Some of which include CSP, CHMM, NRRPT, etc.

All credit counts are subject to final agenda.

What is Included in the Fee?

  • Continental breakfasts, lunches, and refreshment breaks
  • Comprehensive web-based reference materials
  • Harvard T.H. Chan School of Public Health Certificate of Participation
  • Continuing Education Credit

Faculty

Current faculty, subject to change.

Donald C. Simonson, MD, MBA, MPH, ScD

Program Director

Lecturer on Medicine
Brigham and Women's Hospital
Lecturer on Medicine
Harvard Medical School Department of Medicine
Harvard Medical School

Marcia A. Testa, MPH, Mphil, PhD

Program Director

Senior Lecturer on Biostatistics
Department of Biostatistics
Harvard T.H. Chan School of Public Health

Jakob B. Bjørner, MD, PhD

Faculty

Chief Science Officer
Optum Insight
Adjunct Professor
Faculty of Health and Medical Sciences
University of Copenhagen
Honorary Professor
University Of Sheffield
Professor of Epidemiology
National Research Centre for the Working Environment

Garrett Fitzmaurice, ScD

Faculty

Professor of Psychiatry (Biostatistics)
Department of Biostatistics
Harvard Medical School
Director
Laboratory for Psychiatric Biostatistics
McLean Hospital

Matthias Rose, MD, PhD

Faculty

Professor and Chair
Center for Internal Medicine and Dermatology Department of Psychosomatic Medicine
Charite - Universitatsmedizin Berlin

Max Su, ScD

Faculty

Senior Research Statistician
Phase V Technologies, Inc.
Research Associate
Department of Biostatistics
Harvard T.H. Chan School of Public Health

Alexander Turchin, MS, MD

Faculty

Director of Informatics Research
Brigham and Women's Hospital
Director of Clinical Informatics
Harvard Clinical Research Institute

John E. Ware Jr., PhD

Faculty

Chief Science Officer and Chairman
John Ware Research Group, Inc.
Professor and Chief
Outcomes Division Department of Quantitative Health Sciences
UMass Medical School

Agenda

This agenda may be subject to change.

Monday, September 25, 2017
7:30–8:10 am Check-In and Continental Breakfast
8:10–8:30 am Classroom Technology Orientation
8:30–8:45 am Simonson, Testa Orientation, Welcome and Introduction
8:45–10:00 am Testa Outcomes Research: Definitions, Concepts, Measures, and Models
10:00–10:30 am Refreshment Break
10:30 am–12:00 pm Testa Clinical Status, Functional Health, and Quality of Life Questionnaires: Surveys, Scales, and Indices
12:00–1:00 pm Lunch
1:00–2:45 pm Simonson Epidemiology Study Designs for Outcomes Research
2:45–3:15 pm Refreshment Break
3:15–4:15 pm Use of Large Healthcare Databases
4:15–5:30 pm Turchin Observational Database Applications for Outcomes Research
Tuesday, September 26, 2017
8:00–8:30 am Continental Breakfast
8:30–10:00 am Fitzmaurice Longitudinal Data Analysis
10:00–10:30 am Refreshment Break
10:30 am–12:00 pm Ware New Techniques for Health Outcomes Measurement and Evaluation I
12:00–1:00 pm Lunch
1:00–2:30 pm Simonson Health Economic Outcomes: Fundamentals and Study Designs
2:30–3:00 pm Refreshment Break
3:00–5:00 pm Small Group Special Topics
5:15–5:45 pm Bus Departs for Harvard Faculty Club
5:45–8:00 pm Reception and Dinner at the Harvard Faculty Club
Wednesday, September 27, 2017
8:00–8:30 am Continental Breakfast
8:30–10:00 am Testa International Application of PRO - From Methodological Research to Clinical Practice
10:00–10:30 am Refreshment Break
10:30 am–12:00 pm Bjørner New Techniques for Health Outcomes Measurement and Evaluation II
12:00–1:00 pm Lunch
1:00–2:30 pm Simonson Health Economic Outcomes: Analysis and Applications
2:30–2:45 pm Refreshment Break
2:45–4:30 pm Small Group Special Topics
4:30–5:00 pm Wrap-up and Evaluations

Who Should Participate

This program will be useful to anyone involved in improving health care cost, quality, or outcomes from across the health care industry. Ideal participants include:

  • Clinicians, including physicians, nurses, and allied health professionals involved in utilizing outcomes data or assessing, measuring, and evaluating outcomes
  • Health care executives and administrators who review and utilize outcomes data for clinical decision-making and improving quality care
  • Insurance, managed care, and other payer executives and researchers seeking to understand the relative value of procedures and interventions
  • Pharmaceutical and biotechnology executives and researchers who need to measure patient-reported outcomes to support the benefit of their products
  • Other health sector researchers who are new to outcomes research and need an overview of the latest information in the field

Registration Criteria

Participants must have an advanced degree (e.g., MD, PhD, MS, MPH, PharmD) in a relevant discipline. Proficiency in written and spoken English is essential for a successful learning experience in the program.