Description: This three-part webinar series focuses on the practical application of data concepts relevant to mental health and addiction system partners. The series is presented by E-QIP (the Excellence through Quality Improvement Project), which is a partnership of Addictions and Mental Health Ontario (AMHO); the Canadian Mental Health Association (CMHA), Ontario; Ontario Health; and the Provincial System Support Program (PSSP) at the Centre for Addiction and Mental Health (CAMH).

Webinar 1: Introductory Concepts and Problem IdentificationCLICK HERE to view the recording of this webinar!

This session is intended for executive directors and staff responsible for data collection, analysis, and reporting and will:

  1. Help you answer the questions:
    • How do I know I have a problem?
    • Why is this important?
  2. Build your capacity to:
    • Understand data
    • Discover and collect data
    • Recognize the importance of data
    • Support an environment that fosters critical use of data for learning and decision-making.

Webinar 2: Basics of Quality Improvement- CLICK HERE to view the recording of this webinar!

This session is intended for staff responsible for data collection, analysis, and reporting and will:

  1. Help you answer the question:
    • What do I need to know to use data for quality improvement purposes?
  2. Build your capacity to:
    • Evaluate and ensure quality of data
    • Analyze and interpret data
    • Identify problems in practical situations.

Webinar 3: Data Visualization and ReportingCLICK HERE to view the recording of this webinar!

This session is intended for executive directors and staff responsible for data collection, analysis, and reporting and will:

  1. Help you answer the questions:
    • How do I share and report data in an accessible way?
    • What are my next steps to build an organizational culture of data literacy?
  2. Build your capacity to:
    • Create meaningful data visualizations and evaluate effectiveness
    • Prioritize information gathered for data-driven decision making; share data legally and ethically
    • Collect follow-up data to assess the effectiveness of decisions based on data.