Workshop - Expanding Evaluation through Use of Admin Data, May 31, 2013

Increased availability of administrative data provides evaluators, health service and intervention researchers with more options for answering questions about the effectiveness, efficiency, and quality of publicly funded programs and services. The purpose of this one day workshop is to explore the promise and pitfalls of using administrative data in evaluations. The workshop is intended for researchers, evaluators, and health service practitioners who are interested in learning about the practicalities of using administrative data to answer evaluation questions.

During this one day workshop, participants will increase their understanding of the types of questions that can be answered through administrative data, explore the strengths and limitations of using administrative data in evaluations, and appreciate the considerations for using administrative data. Through the examination of a case study, participants will also hear about lessons learned, success factors, and best practices for using administrative data in evaluations.

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Friday May 31st, 2013
9am to 3pm
Sheraton Wall Centre, Vancouver, BC

Instructors

Kimberlyn McGrail, PhD, is an assistant professor at the University of British Columbia (UBC), associate director of the UBC Centre for Health Services and Policy Research, and an associate with the Centre for Clinical Epidemiology and Evaluation. She is also a board member and scientific advisor for Population Data BC, a resource dedicated to making linkable, longitudinal administrative data available to researchers.
Kim’s current research interests are in variations in health care services use and outcomes, aging and the use of health care services and understanding health care as a determinant of health. She has collaborated with provincial and federal policy- and decision-makers, including the BC Ministry of Health Services, the Health Council of Canada and the Canadian Institute for Health Information. Kim was the 2009-10 Commonwealth Fund Harkness Associate in Health Care Policy and Practice. She holds a PhD in Health Care and Epidemiology from UBC, and a Master’s in Public Health from the University of Michigan.

Marla Steinberg, PhD, has been a professional evaluator for over 25 years. She has conducted evaluations in a wide range of areas including early childhood development, health promotion, research capacity building, organizational development, leadership, partnerships and coalitions, health services, research impact, and knowledge transfer and exchange. Her work has examined strategies, policies and programs at the federal, provincial, and community levels.
She has extensive experience in teaching and professional development that spans developing and delivering graduate level courses, in-service coaching support for health service professionals, in-person workshops, and e-learning courses.  She brings to her work a passion for evaluation and a focus on engaging and experiential learning.

Learning Objectives

By the end of the workshop participants will be able to:

  • Identify when administrative data can be used in evaluations
  • Understand the strengths and limitations of using administrative data in evaluations
  • Appreciate the considerations for using administrative data
  • Identify success factors and best practices for using administrative data in evaluations

Morning session will cover:

  • Brief overviews of evaluation and administrative data
  • Examples of evaluations using administrative data
  • The types of evaluation questions that could be answered through administrative data
  • Strengths and challenges of using administrative  data for evaluation
  • Considerations for using administrative data for evaluation
  • Practice exercises using participant or assigned projects

Afternoon session will cover:

  • The examination of a case study of an evaluation that used administrative data  (context, considerations, design, challenges, success factors and lessons learned)
  • Small group work to apply lessons learned to participant projects (use of checklist)

Workshop format

Limited to 30 participants, the workshop  consists of a series of short lecture presentations, group discussions, small group work and case studies. Participants will be provided with:

  •  A bound copy of the workshop notes
  •  Evaluation planning checklist

Who should attend?

Researchers, evaluators and health service practitioners who want to learn more about how they can use administrative data to answer evaluation questions. Prior experience or training in evaluation will be assumed in the organization and delivery of the workshop.

To gain the greatest benefit from this workshop participants are encouraged to bring a one-page summary and/or materials related to a current or proposed evaluation project for class exercises and discussions.

Fee

Regular rate $250
Student rate $195 (limited seating applies)
Group rates available

Includes refreshment breaks. Participants are responsible for their own lunch.

Enrollment is limited so register early to avoid disappointment.

To register, or for further details, contact:
Ann Greenwood
Lead, Education and Training Unit
Population Data BC
Email: ann.greenwood@popdata.bc.ca
Phone: 250-853-3285

To register, click the link below.

Register now!

Latent Variable Modeling, July 8-12, 2013

This five-day intensive course will focus on the practical application of latent variable modeling with specific applications for health and social science researchers. Mornings will consist of a series of lectures and computer demonstrations covering the theory and practice of latent variable modeling methods. Afternoons will include hands-on applications of specific data analysis techniques. Participants will learn how to apply specific modeling methods in the development of instruments, measures and survey designs. Topics include: factor analysis (FA) including item response models via FA, multi-group FA, and mixture latent class models.

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July 8 - July 12, 2013
9am to 4pm daily
MacMillan Building, Room 160, UBC, Vancouver, BC

Instructor: Professor Bruno Zumbo, Measurement, Evaluation, Research Methodology Program and Department of Statistics, University of British Columbia

Professor Zumbo has research experience in both theoretical and applied psychometrics and statistical science. His research interests include procedures for evaluating variable importance in statistical models; performance characteristics of standard procedures (both parametric and nonparametric) under non-standard conditions; measurement theory (including axiomatic measurement theory, classical test theory and item response modeling), educational measurement and the foundations of statistics. He has developed a secondary research program on measurement, program evaluation and methodological issues in quality of life, subjective well-being and social science research.

Prerequisites

This is an intermediate to advanced course therefore participants will be expected to have some introductory knowledge of Structural Equation Models and software. Previous knowledge/work in measurement theory is helpful but not required.

Additional materials/software requirements

15 laptops with Windows XP-and Mplus software are available for participant use. Please book upon registration. If you are bringing your own laptop, you’ll need to have Mplus software loaded or make arrangements to access this software from the remote Mplus server at the University of Victoria.

Who should attend?

Graduate students, researchers and faculty in the health and social sciences as well as epidemiologists and healthcare professionals interested in developing and applying statistical modeling in their work.

Fees

$850 early bird regular rate (before May 15th)
$950 regular rate
$750 graduate student rate – limited seating
Group rates available

Includes refreshment breaks each day; participants are responsible for their own lunches.

Enrollment is limited so register early to avoid disappointment.

To register, or for further details, contact:
Ann Greenwood
Lead, Education and Training Unit
Population Data BC
Email: ann.greenwood@popdata.bc.ca
Phone: 250-853-3285


To register, click the link below.

Register now!

Can’t attend in person? Ask about webinar access

International Health Data Linkage Conference - Save date!

Building on the success of the 2012 Perth conference, we are pleased to announce the date and location for the 2nd International Health Data Linkage Conference: April 28-30, 2014 in Vancouver, BC, Canada. 

PopData are hosting the conference in our role as director of the International Health Data Linkage Network.

Details regarding registration and abstract submission will be forthcoming in the Spring. 

Most Canadians open to health data being used to improve health care

A majority of Canadians are open to letting their personal, health and genetic data be used to improve health care, public safety and tax collection, reveals a new poll by Vision Critical.

Download the full results of that poll, which reviewed Canadians' attitudes toward Big Data in a series of questions that will inform next week's The Data Effect conference in Ontario.

Clyde Hertzman

It is with great sadness that we announce the sudden passing of Dr. Clyde Hertzman. Clyde’s influence in the fields of early child development, population health and epidemiology has been significant within B.C., nationally and internationally.

For over 20 years, together with his colleagues at the Centre for Health Services and Policy Research, Clyde has played a major role in promoting data linkage and data access in British Columbia.  He sat on Population Data BC's Advisory Board and his vision, energy and support will be a profound loss.

Our thoughts are with his family, Marcy, Eric, Emily, Amos, his mother Eileen, and his brother Owen.