ISPOR's Short Course Program Is Now Virtual

The renowned ISPOR Short Course Program is now being offered virtually. The program is designed to enhance knowledge and techniques in core health economics and outcomes research (HEOR) topics as well as emerging trends in the field. Taught by expert faculty, short courses topics are offered across 7 topical tracks and range in skill level from introductory to experienced.

Upcoming Virtual Short Courses

Expand your HEOR knowledge from the safety and comfort of your home or office. ISPOR's expert short course faculty are presenting the same curriculum that has historically been offered at ISPOR in-person events through an interactive virtual experience. The courses are not recorded so attendance in the live-broadcast is important. These hand-picked virtual courses, along with their electronic course books, provide a solid foundation in essential methodologies and emerging issues.

 

27-28 September 2021: Causal Inference and Causal Diagrams in Big, Real-World Observational Data and Pragmatic Trials

LEVEL: Advanced
TRACK: Methodological & Statistical Research
LENGTH: 4 Hours | Course runs 2 consecutive days, 2 hours each day

Monday, 27 September 2021 | Course runs 2 consecutive days, 2 hours per day
8:00AM-10:00AM (EDT) Eastern Daylight Time
12:00-14:00 (UTC) Coordinated Universal Time 
14:00-16:00 (CEST) Central European Summer Time

Tuesday, 28 September 2021 | Course runs 2 consecutive days, 2 hours per day
8:00AM-10:00AM (EDT) Eastern Daylight Time
12:00-14:00 (UTC) Coordinated Universal Time 
14:00-16:00 (CEST) Central European Summer Time

Basic Schedule:
Class Time: 2 hours daily

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DESCRIPTION
Innovative causal inference methods are needed for the design and analysis of big real-world observational data and pragmatic trials. This course  will provide an introduction to the principles of causation in comparative effectiveness research, the use of causal diagrams (directed acyclic graphs; DAGs) and focus on causal inference methods for time-independent confounding (multivariate regression, propensity scores) and time-dependent confounding (g-formula, marginal structural models with inverse probability of treatment weighting, and structural nested models with g-estimation). The “target trial” concept and a counterfactual approach with “replicates” will be used to apply causal methods to big real-world datasets with case examples from oncology, cardiovascular disease, HIV, nutrition and obstetrics. The course will consist of lectures, exercises drawn from the published literature and interactive discussion. The intended audience includes researchers from all substance matter fields, statisticians, epidemiologists, outcome researchers, health economists and health policy decision makers interested either in methods of causal analysis or causal interpretation of results based on the underlying method.


FACULTY MEMBERS

Uwe Siebert, MD, MPH, MSc, ScD
Professor & Chair
UMIT - University for Health Sciences
Medical Informatics and Technology
Innsbruck, Austria and
Harvard Chan School of Public Health
Harvard University
Boston, MA, USA

Doug E. Faries, PhD
Research Fellow, Global Statistical Sciences
Eli Lilly and Company
Indianapolis, IN, USA

Felicitas Kühne, MSc
Senior Scientist, Program Causal Inference
UMIT - University for Health Sciences
Medical Informatics and Technology
Innsbruck, Austria



 

 

6-7 October 2021: Risk-Sharing/Performance-Based Arrangements for Drugs and Other Medical Products

LEVEL: Intermediate
TRACK: Health Policy & Regulatory 
LENGTH: 4 Hours | Course runs 2 consecutive days, 2 hours each day

Wednesday, 6 October 2021 | Course runs 2 consecutive days, 2 hours per day
10:00AM-12:00PM (EDT) Eastern Daylight Time
14:00-16:00 (UTC) Coordinated Universal Time
16:00-18:00 (CEST) Central European Summer Time

Thursday, 7 October 2021 | Course runs 2 consecutive days, 2 hours per day
10:00AM-12:00PM (EDT) Eastern Daylight Time
14:00-16:00 (UTC) Coordinated Universal Time
16:00-18:00 (CEST) Central European Summer Time

Basic Schedule:
Class Time: 2 hours daily

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DESCRIPTION

There is significant and growing interest among both the payers and producers of medical products for arrangements that involve a “pay-for-performance” or “risk-sharing” element. These payment schemes involve a plan by which the performance of the product is tracked in a defined patient population over a specified period of time and the level of reimbursement is tied by formula to the outcomes achieved. Although these agreements have an intrinsic appeal, there can be substantial barriers to their implementation. Issues surrounding theory and practice, including incentives and barriers, will be analyzed along with several examples of performance-based schemes from Europe, the United States, and Australia. A hypothetical case study will be used in an interactive session to illustrate a systematic approach to weighing their applicability and feasibility.

FACULTY MEMBERS

Louis P Garrison, PhD
Professor Emeritus
The Comparative Health Outcomes, Policy, and Economics Institute Department of Pharmacy
University of Washington
Seattle, WA, USA

Adrian Towse, MA, MPhil
Director Emeritus & Senior Research Fellow
Office of Health Economics
London, UK

Josh J Carlson, MPH, PhD
Associate Professor
Pharmaceutical Outcomes Research & Policy Program Department of Pharmacy
University of Washington
Seattle, WA, USA

 



  • Español
  • English

El 13-14 de octubre del 2021: Introducción a la economía de la salud y la investigación de los resultados

**Presentado en español con porciones del curso presentado en inglés con traducción al español

NIVEL: Introductorio
CATEGORÍA: Evaluación económica
DURACIÓN: 4 horas | el curso dura 2 días consecutivos, 2 horas cada día

Miércoles, El 13 de octubre del 2021 | El curso dura 2 días consecutivos, 2 horas cada día
10:00-12:00 (EDT) horario de verano del este
9:00-11:00 (CST) hora estándar de Colombia
14:00-16:00 (UTC) tiempo universal coordinado
16:00-18:00 (CEST) hora central europea de verano

Jueves, El 14 de octubre del 2021| El curso dura 2 días consecutivos, 2 horas cada día
10:00-12:00 (EDT) horario de verano del este
9:00-11:00 (CST) hora estándar de Colombia
14:00-16:00 (UTC) tiempo universal coordinado
16:00-18:00 (CEST) hora central europea de verano

Horario de clase: 2 horas al diario

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DESCRIPCIÓN
Este curso está diseñado para instruir a clínicos y a investigadores nuevos cómo incorporar la farmacoeconomía / economía de la salud en el diseño de un estudio y el análisis de datos. Los participantes aprenderán cómo recoger y calcular los costos de distintos tratamientos alternativos del cuidado de la salud o de la evaluación económica del cuidado de la salud, determinar el impacto económico de los resultados clínicos, y cómo identificar, rastrear, y asignar costos a los distintos tipos de recursos de cuidado de la salud utilizados. Se discutirán el desarrollo de protocolos económicos y hojas de recolección de datos. Se demostrarán distintos modelos y técnicas de la economía de la salud con casos de estudios. Estos incluyen: minimización de costos, costo de la enfermedad, efectividad de costos, costo-beneficio, y análisis de costo-utilidad. También el análisis de decisión, análisis de sensibilidad, y descuentos serán demostrados y practicados. Los participantes aprenderán a comparar y evaluar intervenciones como los fármacos, dispositivos, y servicios clínicos. Este curso es apto para participantes con poco o ninguna experiencia en la farmacoeconomía. Presentado en español con porciones del curso presentado en inglés con traducción al español.


CUERPO DOCENTE
Diego Rosselli, MD, MEd, MHP
Profesor adjunto de la economía de la salud
Pontificia Universidad Javeriana
Bogotá, Colombia

Renée JG Arnold, PharmD
Profesora adjunta completa
Departamento de la medicina ambiental y la salud pública.
Icahn Facultad de Medicina en Mount Sinai
Nueva York, Nueva York, EUA
 

13-14 October 2021: Introduction to Health Economics and Outcomes Research

**Presented in Spanish with portions of the course presented in English with Spanish translation

LEVEL: Introductory
TRACK:
Economic Evaluation
LENGTH:
4 Hours | Course runs 2 consecutive days, 2 hours each day

Wednesday, 13 October 2021 | Course runs 2 consecutive days, 2 hours per day
10:00AM-12:00PM (EDT) Eastern Daylight Time
9:00AM-11:00AM (CST) Colombia Standard Time
14:00PM-16:00PM (UTC) Coordinated Universal Time
16:00PM-18:00PM (CEST) Central European Summer Time

Thursday, 14 October 2021 | Course runs 2 consecutive days, 2 hours per day
10:00AM-12:00PM (EDT) Eastern Daylight Time
9:00AM-11:00AM (CST) Colombia Standard Time
14:00PM-16:00PM (UTC) Coordinated Universal Time
16:00PM-18:00PM (CEST) Central European Summer Time

Class Time: 2 hours daily

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DESCRIPTION
This course is designed to teach clinicians and new researchers how to incorporate pharmacoeconomics/health economics into study design and data analysis. Participants will learn how to collect and calculate the costs of different healthcare or healthcare economic evaluation alternative treatments, determine the economic impact of clinical outcomes, and how to identify, track, and assign costs to different types of healthcare resources used. The development of economic protocols and data collection sheets will be discussed. Different health economics models and techniques will be demonstrated with case studies. These include: cost-minimization, cost-of-illness, cost-effectiveness, cost-benefit, and cost-utility analysis. Decision analysis, sensitivity analysis, and discounting will also be demonstrated and practiced. Participants will learn to compare and evaluate interventions such as drugs, devices and clinical services. This course is suitable for those with little or no experience with pharmacoeconomics. Presented in Spanish with portions of the course presented in English with Spanish translation.


FACULTY MEMBERS
Diego Rosselli, MD, MEd, MHP
Associate Professor of Health Economics
Javeriana Papal University
Bogotá, Colombia

Renée JG Arnold, PharmD
Adjunct Full Professor
Department of Environmental Medicine and Public Health
Icahn School of Medicine, Mount Sinai
New York, NY, USA

 

20-21 October 2021: Introduction to Patient Engagement in Medical-Product Research

LEVEL: Introductory
TRACK: Patient Centered Research
LENGTH: 4 Hours | Course runs 2 consecutive days, 2 hours each day

Wednesday, 20 October 2021 | Course runs 2 consecutive days, 2 hours per day
8:00AM-10:00AM (EDT) Eastern Daylight Time
12:00-14:00 (UTC) Coordinated Universal Time
14:00-16:00 (CEST) Central European Summer Time

Thursday, 21 October 2021 | Course runs 2 consecutive days, 2 hours per day
8:00AM-10:00AM (EDT) Eastern Daylight Time
12:00-14:00 (UTC) Coordinated Universal Time
14:00-16:00 (CEST) Central European Summer Time

 

Basic Schedule:
Class Time: 2 hours daily

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DESCRIPTION
Over the past decade, the role of patients as partners in medical-product development has increased. Add to that the development of Food and Drug Administration’s regulatory guidance for Patient-Focused Drug Development and the EMA’s patient input system, there is increasing an industry-wide focus on how to “collect information on the patient experience that is representative of the intended population to inform the development and evaluation of medical products throughout the medical product lifecycle.” Health economics and outcomes research (HEOR) stakeholders, including ISPOR members, are actively seeking to meaningfully partner with patients to incorporate patient-provided information and input into their research. 

This half-day course is designed to provide participants with an introduction to patient engagement (PE) in medical-product research through defining PE and providing its historical context and significance throughout ISPOR’s HEOR taxonomy. This course will also equip attendees with tools to plan and implement meaningful PE activities in their respective areas of research expertise (eg, clinical development, epidemiology, health economics, real-world evidence, etc). The course will differentiate the skills needed for PE and who should be engaging versus methods for using patient experience data in research. There will be a session dedicated to addressing challenges in implementing PE in a clinical research environment. Real-world examples of patient-researcher partnerships will be presented to discuss best practices and demonstrate practical solutions to some of these challenges. One of the course’s strengths is that attendees will have the opportunity to interact with stakeholders who represent a variety of perspectives. Interaction with stakeholders and other attendees may also result in unique opportunities for further collaboration in PE medical-product research.



FACULTY MEMBERS
Elisabeth M. Oehrlein, PhD, MS
Assistant Vice President, Research and Programs
National Health Council
Washington, DC, USA

Robert McBurney, PhD
Chief Research Officer
Accelerated Cure Project for MS
Waltham, MA, USA

M. Suz Schrandt, JD
Founder & CEO
ExPPect
Arlington, VA, USA

Allison Martin Nguyen, MS
Senior Principal Scientist
Merck & Co
West Point, PA, USA




 

3-4 November 2021: Selecting Rapid Review Methods for Health Technology Assessment

LEVEL: Intermediate
TRACK: Health Technology Assessment 
LENGTH: 4 Hours | Course runs 2 consecutive days, 2 hours each day

Wednesday, 3 November 2021 | Course runs 2 consecutive days, 2 hours per day
10:00AM-12:00PM EDT
2:00PM-4:00PM UTC/GMT
3:00PM-5:00PM CET

Thursday, 4 November 2021 | Course runs 2 consecutive days, 2 hours per day
10:00AM-12:00PM EDT
2:00PM-4:00PM UTC/GMT
3:00PM-5:00PM CET

Basic Schedule:
Class Time: 2 hours daily

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DESCRIPTION

Rapid reviews are of increasing importance for Health Technology Assessment (HTA) and other commissioners of evidence synthesis, due to the need for timely assessment of new technologies. Rapid review methods need to be chosen to fit the specific needs and challenges of each review. Collaboration between commissioners (the person or group requesting the rapid review) and those undertaking the rapid review is essential, to ensure that the rapid review methods chosen can address the requirements of the review within the time frame, and that the limitations of the rapid review methods employed are agreed and reported on. However, whilst there are many rapid review methods available, there is little guidance on the selection of suitable rapid review approaches and methods.

This short course is aimed at both commissioners of systematic reviews and those who undertake them and aims to enable review teams and commissioners to have a clear understanding of possible approaches to undertaking a rapid review, as well as improving their skills in selecting appropriate rapid review methods.

PREREQUISITE: Previous attendance at the short course “introduction to HTA,” or equivalent knowledge, is required.

FACULTY MEMBERS

Marrissa Martyn-St James, MSc, PhD
Systematic Reviewer
ScHARR, University of Sheffield
Sheffield, UK

Ruth Wong, MRes, MSc, PhD
Information Specialist
ScHARR, University of Sheffield
Sheffield, UK

Abdullah Pandor, MSc
Senior Research Fellow
ScHARR, University of Sheffield
Sheffield, UK

Katy Cooper, PhD
Senior Research Fellow
ScHARR, University of Sheffield
Sheffield, UK

 



 

 

10 November 2021: Use of Propensity Scores in Observational Studies of Treatment Effects 

LEVEL: Intermediate
TRACK: Study Approaches
LENGTH: 4 Hours | Course runs 1 day

Wednesday, 10 November | Course runs 1 day
9:00AM-1:30PM EDT
1:00PM-5:30PM UTC/GMT
2:00PM-6:30PM CEST

Basic Schedule:
Class Time: 2 hours of content | 30 minute break | 2 hours of content

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DESCRIPTION

In observational research, issues of bias and confounding relate to study design and analysis in the setting of non-random treatment assignment where compared subjects might differ substantially with respect to comorbidities. No control over the treatment assignment and the lack of balance in the covariates between the treatment and control groups can produce confounded estimates of treatment effect. Faculty will explain how propensity scores can be used to mitigate confounding through standard observational approaches (restriction, stratification, matching, regression, or weighting). The advantages and disadvantages of standard adjustment relative to propensity score-based methods will be discussed. Details of propensity score methodology (variable selection, use, and diagnostics) will also be discussed. The course will also elaborate briefly on risk adjustment models that collapse predictors of outcomes and their use relative to propensity scores. This course is designed for those with little experience with this methodology, but some knowledge of observational databases.

PREREQUISITE: Previous attendance at the short course “Introduction to the Design & Analysis of Observational Studies of Treatment Effects Using Retrospective Data Sources,” or equivalent knowledge, is recommended.


FACULTY MEMBERS

John Seeger, PharmD, DrPH
Chief Science Officer, Epidemiology
Optum
Boston, MA, USA

Jeremy Rassen, ScD
President & Chief Science Officer
Aetion, Inc.
New York, NY, USA

  • Español
  • English

El 16-17 de noviembre de 2021: Análisis del impacto presupuestario para la toma de decisión en salud en América Latina 

**Presentado en español con porciones del curso presentado en inglés con traducción al español

NIVEL: Intermedio
CATEGORÍA:
Métodos económicos
DURACIÓN:
4 horas | El curso dura 2 días consecutivos, 2 horas cada día

Martes, el 16 de noviembre de 2021 | El curso dura 2 días consecutivos, 2 horas cada día
11:00-13:00 (EST) horario estánhdar este
13:00-15:00 (AST) hora estándar de Argentina
16:00-18:00 (UTC) tiempo universal coordinado
17:00-19:00 (CET) hora central europea

Miércoles, el 17 de noviembre del 2021 | El curso dura 2 días consecutivos, 2 horas cada día
11:00-13:00 (EST) horario estánhdar este
13:00-15:00 (AST) hora estándar de Argentina
16:00-18:00 (UTC) tiempo universal coordinado
17:00-19:00 (CET) hora central europea

Horario de clase: 2 horas al diario

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DESCRIPCIÓN
El propósito de este curso es presentar los principales conceptos, elementos y discusiones sobre el análisis del impacto presupuestario (BIA, por sus siglas en inglés) para la toma de decisión en salud en el contexto de los países de América Latina. Se analizarán los aspectos conceptuales del impacto presupuestario derivado de la potencial cobertura de una nueva tecnología en salud; se examinará su relevancia para la toma de decisión en lo referido a políticas de cobertura en el contexto regional; y se presentarán las principales recomendaciones metodológicas para la elaboración de un BIA en los países de América Latina. Estos conceptos y discusiones se ilustran a través de un ejercicio de aplicación en un modelo web interactivo de BIA. Este curso está diseñado para participantes con alguna experiencia en análisis farmacoeconómico. Todos los participantes deben contar con una computadora con buena conexión a Internet. Se le brindarán mayores instrucciones al inscribirse para el curso. Presentado en español con porciones del curso presentado en inglés con traducción al español.


CUERPO DOCENTE
C. Daniel Mullins, PhD
Profesor y Presidente
Investigación en servicios de salud farmacéutica
Universidad de Maryland, Facultad de farmacia
Baltimore, Maryland, EUA

Alfredo Palacios, MSc
Coordinador, Departamento de Economía de la Salud
Instituto de Efectividad Clínica y Sanitaria (IECS)
y Profesor adjunto, Departamento de Economía
Universidad de Buenos Aires
Buenos Aires, Argentina
 

Registration Coming Soon!

16-17 November 2021: Budget Impact Analysis for Health Decision Making in Latin America 

**Presented in Spanish with portions of the course presented in English with Spanish translation

LEVEL: Intermediate
TRACK:
Economic Methods
LENGTH:
4 Hours | Course runs 2 consecutive days, 2 hours each day

Tuesday, 16 November 2021 | Course runs 2 consecutive days, 2 hours per day
11:00AM-13:00PM (EST) Eastern Standard Time
13:00PM-15:00PM (CST) Argentina Standard Time
16:00PM-18:00PM (UTC) Coordinated Universal Time
17:00PM-19:00PM (CET) Central European Time

Wednesday, 17 November 2021 | Course runs 2 consecutive days, 2 hours per day
11:00AM-13:00PM (EST) Eastern Standard Time
13:00PM-15:00PM (CST) Argentina Standard Time
16:00PM-18:00PM (UTC) Coordinated Universal Time
17:00PM-19:00PM (CET) Central European Time

Class Time: 2 hours daily

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DESCRIPTION
The purpose of this course is to present the main concepts, elements and discussions on Budget Impact Analysis (BIA) for health decision making in the context of Latin American countries. In particular, conceptual aspects of the BIA of a new health care technology are reviewed; its relevance for decision-making in coverage policies in the regional context is examined; and primary methodological recommendations for a BIA in Latin American countries. These concepts and discussions are illustrated through an application exercise with an interactive BIA model. This course is designed for those with some experience with pharmacoeconomic analysis. All participants should have available a computer with a good Internet connection. Additional information will be provided upon registration. Presented in Spanish with portions of the course presented in English with Spanish translation.


FACULTY MEMBERS
C. Daniel Mullins, PhD
Professor & Chair
Pharmaceutical Health Services Research
University of Maryland School of Pharmacy
Baltimore, MD, USA

Alfredo Palacios, MSc
Coordinator, Department of Health Economics
Institute of Clinical Effectiveness and Health Policy (IECS) 
and Associate Professor, Economic Department
University of Buenos Aires
Buenos Aires, Argentina

Registration Coming Soon!  

 

December 6, 8, and 9, 2021: Budget Impact Analysis II: Applications and Design Issues 

LEVEL: Intermediate
TRACK: Study Approaches
LENGTH: 4 Hours | Course runs 3 days

Monday, Wednesday, and Thursday, December 6, 8, and 9, 2021 | Course runs 3-days*

Day 1: 
10:00AM-12:00PM Eastern Standard Time (EST)
3:00PM-5:00PM Coordinated Universal Time (UTC)
4:00PM-6:00PM Central European Time (CET)

Day 2 Homework Support (Optional):
10:00AM-11:00AM Eastern Standard Time (EST)
3:00PM-4:00PM Coordinated Universal Time (UTC)
4:00PM-5:00PM Central European Time (CET)

Day 3:
10:00AM-12:00PM Eastern Standard Time (EST)
3:00PM-5:00PM Coordinated Universal Time (UTC)
4:00PM-6:00PM Central European Time (CET)

Basic Schedule:

Class Time: DAY 1: 2 hours content + Homework
DAY 2: 1 hour "Office Hours" Homework Support (optional)
DAY 3: 2 hours of content

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DESCRIPTION
"This course covers the concrete application of the 6-step approach for developing budget impact analyses and provides hands-on learning with two different budget impact models programmed in Excel. The course will review the basics of budget impact analysis, interpretation of results, simplicity versus accuracy and face validity, and how budget impact analyses are used by payers and other decision makers. Technical topics will include static versus dynamic budget impact models, considerations for device and diagnostic technologies, and realistic features such as patient copayments and use of generics. The instructors will walk through 2 different budget impact analyses programmed in Excel (one static and one dynamic) and work with participants during hands-on exercises to enhance these models. The instructors will also review good practices for building budget impact models and provide a number of Excel tips. The Excel-based budget impact models used for the course will be provided to participants in advance of the conference. This course is designed for those who have basic knowledge of budget impact analyses and desire exposure to these analyses in Excel. Participants who wish to gain hands-on experience must bring their personal laptops with Microsoft Excel for Windows installed.

PREREQUISITE: Participation in the ISPOR short course, “Budget Impact Analysis I: A 6-Step Approach,” or equivalent knowledge, is recommended.  Working knowledge of Microsoft Excel is required. "



FACULTY MEMBERS

Stephanie Earnshaw, PhD, MS
Senior Vice President, Health Economics
RTI Health Solutions
Research Triangle Park, NC, USA

Anita J. Brogan, PhD, MSc

Head, Decision Analytic Modeling, Health Economics
RTI Health Solutions
Manchester, UK

Thor-Henrik Brodtkorb, PhD

Senior Director, Health Economics
RTI Health Solutions
Ljungskile, Sweden

Ashley E. Davis, PhD, MSc

Director, Health Economics
RTI Health Solutions
Research Triangle Park, NC, USA

  • Español
  • English

El 13-14 de diciembre de 2021: Análisis de costo-efectividad junto a los ensayos clínicos 

**Presentado en español con porciones del curso presentado en inglés con traducción al español

NIVEL: Introductorio
CATEGORÍA: Evaluación económica
DURACIÓN:
4 horas | El curso dura 2 días consecutivos, 2 horas cada día

Lunes, el 13 de diciembre de 2021 | El curso dura 2 días consecutivos, 2 horas cada día
10:00-12:00 (EST) horario estándar del este
12:00-14:00 (AST) hora estándar de Argentina
15:00-17:00 (UTC) tiempo universal coordinado
16:00-18:00 (CET) hora central europea 

Martes, el 14 de diciembre del 2021 | El curso dura 2 días consecutivos, 2 horas cada día
10:00-12:00 (EST) horario estándar del este
12:00-14:00 (AST) hora estándar de Argentina
15:00-17:00 (UTC) tiempo universal coordinado
16:00-18:00 (CET) hora central europea 

Horario de clase: 2 horas al diario

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DESCRIPCIÓN
El creciente número de ensayos clínicos/económicos prospectivos refleja tanto el amplio interés por la evidencia económica de nuevas tecnologías así como por los requisitos de regulación y reembolso por parte de muchos países, que ahora consideran la evidencia del valor económico junto con la eficacia clínica. Este curso abarcará el diseño, la conducción y el reporte de los análisis de costo-efectividad basados en ensayos clínicos (“piggyback”) basados, en parte, en el reporte de la Fuerza de Tareas ISPOR "Buenas prácticas de investigación para el análisis de costo-efectividad basados en ensayos clínicos, grupo de trabajo ISPOR RCT-CEA”. Se presentará el diseño del estudio, la selección de los parámetros, el diseño y la gestión de la base de datos, el análisis y la comunicación de los resultados. También se discutirán los ensayos diseñados que apuntan a evaluar la efectividad (en lugar de la eficacia), así como las medidas de resultado clínico, incluyendo cómo obtener el uso de los recursos sanitarios y las utilidades de los estados de salud directamente de los sujetos del estudio, y la recopilación de datos económicos de manera integrada en el estudio. Se presentarán análisis guiados por un plan de análisis e hipótesis, un análisis incremental utilizando un enfoque de intención de tratar, la caracterización de la incertidumbre y las normas para reportar de los resultados. Será de utilidad estar familiarizado/a con evaluaciones económicas. Presentado en español con porciones del curso presentado en inglés con traducción al español.


CUERPO DOCENTE
Shelby Reed, RPh, PhD
Profesora
Departamento de Ciencias de la Salud de la Población
Facultad de Medicina, Universidad Duke
Durham, Carolina del Norte, EUA

Federico Augustovski, MASc, MD, MSc, PhD
Director, Departamento de Evaluaciones Económicas y de Tecnologías Sanitarias
Instituto de Efectividad Clínica y Sanitaria (IECS)
Profesor de Salud Pública
Universidad de Buenos Aires
Buenos Aires, Argentina; and
Médico, Servicio de Medicina Familiar y Comunitaria
Hospital Italiano de Buenos Aires
Buenos Aires, Argentina
 

Registration Coming Soon!

13-14 December 2021: Cost-Effectiveness Analysis Alongside Clinical Trials

**Presented in Spanish with portions of the course presented in English with Spanish translation

LEVEL: Introductory
TRACK:
Economic Evaluation
LENGTH:
4 Hours | Course runs 2 consecutive days, 2 hours each day

Monday, 13 December 2021 | Course runs 2 consecutive days, 2 hours per day
10:00AM-12:00PM (EST) Eastern Standard Time
12:00PM-14:00PM (AST) Argentina Standard Time
15:00PM-17:00PM (UTC) Coordinated Universal Time
16:00PM-18:00PM (CET) Central European Time

Tuesday, 14 December 2021 | Course runs 2 consecutive days, 2 hours per day
10:00AM-12:00PM (EST) Eastern Standard Time
12:00PM-14:00PM (AST) Argentina Standard Time
15:00PM-17:00PM (UTC) Coordinated Universal Time
16:00PM-18:00PM (CET) Central European Time

 

Class Time: 2 hours daily

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DESCRIPTION
The growing number of prospective clinical/economic trials reflects both widespread interest in economic information for new technologies and the regulatory and reimbursement requirements of many countries that now consider evidence of economic value along with clinical efficacy. This course will present the design, conduct, and reporting of cost-effectiveness analyses alongside clinical trials based on, in part, "Good Research Practices for Cost-Effectiveness Analysis alongside Clinical Trials: The ISPOR RCT-CEA Task Force Reports". Trial design, selecting data elements, database design and management, analysis, and reporting of results will all be presented. Trials designed to evaluate effectiveness (rather than efficacy), as well as clinical outcome measures, will also be discussed, including how to obtain health resource use and health state utilities directly from study subjects and economic data collection fully integrated into the study. Analyses guided by an analysis plan and hypotheses, an incremental analysis using an intention to treat approach, characterization of uncertainty, and standards for reporting results will be presented. Familiarity with economic evaluations will be helpful. Presented in Spanish with portions of the course presented in English with Spanish translation.


FACULTY MEMBERS
Shelby Reed, RPh, PhD
Professor
Department of Population Health Sciences
School of Medicine, Duke University
Durham, NC, USA

Federico Augustovski, MASc, MSc, PhD, MD
Director, Economic Evaluations and HTA Department
Institute for Clinical Effectiveness and Health Policy
Professor of Public Health
University of Buenos Aires 
Buenos Aires, Argentina; and
Staff Physician, Family and Community 
Medicine Division
Italian Hospital of Buenos Aires
Buenos Aires, Argentina

Registration Coming Soon!  

 

15-16 December 2021: Going Beyond the Standard: Exploring Advanced Survival Modeling Techniques for Immuno-Oncology  

LEVEL: Intermediate
TRACK: Methodological & Statistical Research
LENGTH: 4 Hours | Course runs 2 consecutive days, 2 hours each day

Wednesday, 15 December 2021 | Course runs 2 consecutive days, 2 hours per day
3:00PM-5:00PM UTC/GMT
4:00PM-6:00PM CET
10:00AM-12:00PM EST

Thursday, 16 December 2021 | Course runs 2 consecutive days, 2 hours per day
3:00PM-5:00PM UTC/GMT
4:00PM-6:00PM CET
10:00AM-12:00PM EST

Basic Schedule:

Class Time: 2 hours daily

Click for time zone conversion

DESCRIPTION
Survival modeling techniques are commonly used to extrapolate clinical trial outcomes like overall survival to a time horizon that is appropriate for health economic evaluations. Standard parametric distributions, such as the exponential and Weibull, have been the de-facto standard for conducting such extrapolations but, with the advent of novel potentially curative therapies, these standard parametric distributions fail to capture the underlying survival trend. Newer techniques like response based landmark models, parametric mixture models, mixture cure models and Bayesian model averaging provide novel ways to capture these more complex survival patterns. The purpose of this course is to enable participants to identify which methods are most appropriate in a specific context, considering underlying structural assumptions, and discuss how modeling choices propagate into health economic evaluations. To gain a more in-depth understanding of the impact of the choice for a specific method, participants will practice with several of the survival modeling techniques in hands-on exercises.



FACULTY MEMBERS

Elisabeth Fenwick, MSc, PhD
Senior Director, Modeling & Meta Analysis
Open Health
Oxford, UK

Sven Klijn, MSc
Director Economic & Predictive Modeling WWHEOR, HEME/CAR T
Bristol Myers Squibb
Randstad, Netherlands

Elleke Peterse, PhD
Associate Research Consultant
Open Health
Rotterdam, Netherlands


Registration Rates for ISPOR Short Courses

8 Hour | 2 Day or 4 Day  Short CourseNon-member
Rate
Member Rate
Standard $680$510
Clinical Practitioners$510$385
Full-Time Government and Academia$475$360
Patient Representative$340$225
Full-Time Students (must provide current enrollment docs)$200$160
  
4 Hour | 1 or 2 Day Short CourseNon-memberMember Rate
Standard$340$255
Clinical Practitioners$255$190
Full-Time Government and Academia
$240$180
Patient Representative$170$130
Full-Time Students (must provide current enrollment docs)$100$80

The cancellation date for short courses is 2 weeks before the course. All cancellation requests must be made in writing and emailed to ISPOR Registration. A $50.00 cancellation fee applies. After the 2 week period no refund can be provided.

Additional Short Course Program Details

Short Course Tracks

ISPOR short courses are offered across the following topical tracks:

  • Economic Evaluation
  • Methodological & Statistical Research
  • Study Approaches
  • Real World Data & Information Systems
  • Patient-Centered Research
  • Health Policy & Regulatory
  • Health Technology Assessment

Short Course Core Curriculum

ISPOR short course core curriculum is defined as essential curriculum for professional success in the HEOR field; courses/topic areas that are offered at all conferences and the building blocks of a fundamental curriculum that can be applied to future educational programs/offerings.

  • Economic Evaluation
    • Introduction to Health Economics and Outcomes Research
    • Statistical Methods for Health Economics and Outcomes Research
    • Budget Impact Analysis I – A 6-Step Approach
  • Methodology & Statistical Methods
    • Introduction to Modeling Methods
  • Study Approaches
    • Introduction to the Design & Database Analysis of Observational Studies of Treatment Effects
    • Meta-analysis & Systematic Literature Review
    • Network Meta-Analysis
  • Patient-Centered Research
    • Introduction to Patient-Reported Outcomes
    • Utility Measures
  • Health Policy & Regulatory
    • Elements of Pharmaceutical/Biotech Pricing
    • Risk-Sharing/Performance-Based Arrangements for Drugs and Other Medical Products
    • Global Payers/US Payers
  • Health Technology Assessment
    • Introduction to Health Technology Assessment

 

Need More Information or Have Questions?

Contact us for more information on ISPOR education and training.

Contact Us

DESCRIPTION

This introductory course is designed to teach academic researchers, health policy decision makers, manufacturers, and clinicians about the key elements, methods, and language of health technology assessment (HTA). The course provides an overview of basic HTA principles including benefit assessment (biostatistics, clinical epidemiology, patient-relevant outcomes, risk-benefit assessment), economic evaluation (costing, cost-effectiveness analysis, pharmacoeconomic modeling, budget impact analysis, resource allocation), and ELSI (ethical, legal, and social implications). Using real world examples covering both drugs and devices, the course will review the practical steps involved in developing and using HTA reports in different countries and health care systems. Group discussion will focus on the perspectives of different stakeholders and the implementation of HTA in health care decision making.

This course is suitable for those with little or no experience with HTA. 

The course runs 2 days for 2 hrs/day.



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