- ISPOR 2020
- ISPOR Asia Pacific 2020
- ISPOR Europe 2020
- ISPOR-FDA Summit 2020
- ISPOR 2021
- ISPOR Europe 2019
- ISPOR Summit 2019
- ISPOR Latin America Summit 2019
- ISPOR Latin America 2019
- ISPOR 2019
- ISPOR Warsaw 2019
- ISPOR Europe 2018
- ISPOR Summit 2018
- ISPOR Dubai 2018
- ISPOR Asia Pacific 2018
- ISPOR 2018
- ISPOR Europe 2017
- ISPOR Latin America 2017
- ISPOR Asia Pacific 2016
- Abstract Information
- Submit Abstract
- Exhibits & Sponsorships
- Awards & Grants
- Recent Conferences
- Upcoming Conferences
Education & Training
- Value Assessment in the Age of COVID-19: Meeting the Challenges
- French Administrative Health Care Database (SNDS): Strengths, Limitations and Perspectives for the Largest and Richest Real-World Database in EU
- Open Source Models in HEOR: Benefits, Challenges, and ISPOR Members’ Perceptions
- Biosimilars: Unleashing The Potential For Improved Patient Access And Cost Savings In The United States
- Methods Maze: Pointers for Selecting Survival Extrapolation Models for Cancer Immunotherapy
- ONE HEALTH PERSPECTIVES ON HEOR
- Valuing Future Alzheimer’s Disease Medicines: Extending the Traditional Paradigm
- Health Technology Assessment Training
- Short Courses
The purpose of this course is to introduce students to the variety of large public-access databases that are appropriate for health services research, health economics, pharmacoeconomics, and outcomes research. The idea of using secondary data (someone else's data) contained in these large public-use databases to answer questions in pharmacoeconomics and outcomes research is discussed and the advantages and disadvantages of using these types of data are reviewed. The reliability and validity of data contained in these large databases are also reviewed and discussed in the context of the compromises inherent in using secondary data. The United States health data infrastructure (the source of these secondary databases) is covered and several national databases are introduced and discussed. Data elements relevant to pharmacoeconomics and outcomes research, such as cost, health care utilization, health status, health-related quality of life, and socioeconomic and demographic characteristics, are presented and discussed. In addition to presenting and reviewing these large databases, this course reviews the practical methods for data manipulation and analysis.
By the end of the Use of Public Survey Data in Health Outcomes Research module, you will have:
- Learned about the availability of databases that are relevant to and commonly used by health services researchers, health economists, and outcomes researchers.
- Become familiar with some of the strengths and weaknesses of secondary data.
- Learned practical methods for obtaining and managing secondary data.
- Been introduced to some analytic techniques appropriate for use with secondary data.