Foundations of Safety & Quality

HLTH 3024: Paramedicine Quality Frameworks & Improvement Science

Defining Healthcare Quality

"Quality is the standard of something when compared to other things like it; how good or bad something is."

The Complexity of Definition

According to Goldenberg (2012), there is no single, universally accepted definition of "quality of care." Definitions are often persuasive, meaning they reflect the values and priorities of the person or organization defining them (e.g., a patient vs. a hospital manager vs. a paramedic).

Dimensions of Quality (WHO/OECD)

High-quality healthcare must be:

  • Effective: Providing evidence-based care to those who need it.
  • Safe: Avoiding injuries to patients from the care that is intended to help them.
  • People-Centred: Providing care that is respectful of individual preferences.
  • Timely: Reducing waits and sometimes harmful delays.
  • Equitable: Care that does not vary in quality because of personal characteristics (gender, ethnicity, location).
  • Efficient: Avoiding waste (equipment, ideas, energy).

Donabedian’s Triad

A fundamental framework for assessing quality by looking at three categories of information.

1. Structure

The attributes of the setting where care occurs.

  • Facilities & Equipment
  • Staff qualifications
  • Organizational protocols

2. Process

What is actually done in giving and receiving care.

  • Patient assessment
  • Clinical interventions
  • Communication

3. Outcome

The effects of care on the health status of patients.

  • Mortality/Morbidity rates
  • Patient satisfaction
  • Functional recovery

Assurance vs. Improvement

  • Quality Assurance (QA): Focuses on meeting minimum standards and identifying outliers (Reactive).
  • Quality Improvement (QI): Focuses on continuously raising the bar for the entire system (Proactive/Iterative).

The Science of Improvement

Improvement is not just "doing better"; it is a structured methodology combining multiple disciplines (sociology, psychology, engineering, epidemiology).

Deming’s System of Profound Knowledge (SoPK)

The theoretical foundation of improvement science consists of four pillars:

  1. Appreciation for a System: Understanding how all parts of an organization work together toward a goal.
  2. Knowledge of Variation: Distinguishing between common cause (inherent in the system) and special cause (external/unusual) variation.
  3. Theory of Knowledge: Learning through the use of models and predictions (e.g., PDSA cycles).
  4. Psychology: Understanding human behavior, motivation, and the culture of change.

7 Propositions of Improvement Science

Based on Perla, Provost, and Parry (2013).

1. Grounded in Pragmatism: It focuses on practical applications and "what works" in real-world settings.
2. Iterative Learning (PDSA): Knowledge is built through small-scale tests of change (Plan-Do-Study-Act).
3. Contextual Knowledge: Improvement is highly dependent on the local environment and social factors.
4. Prediction-Based: It moves away from simple descriptive statistics toward predictive models of how changes will impact the future.
5. Operational Definitions: Using clear, consistent terms so everyone in the system has a shared understanding of what is being measured.
6. Cause Systems (Variation): Uses Shewhart Charts to understand if a process is stable or unstable.
7. Systems Theory: Viewing an organization as a dynamic, adaptive system where everything is interdependent.