Exhaustive Study Notes on Paramedicine Healthcare Quality and Patient Safety

Introduction to Healthcare Quality and Improvement Science

• Defining Quality of Care: There is no single, universally accepted definition of "quality of care." As noted by Goldenberg (2012), definitions are often persuasive, meaning they shift based on the values and priorities of the specific stakeholder.

  • Patient perspective: May define quality based on compassion, empathy, and speed (e.g., how fast a paramedic arrived).
  • Managerial perspective: May define quality by budget efficiency, ambulance turnaround times, and resource optimization.

• The 6 Dimensions of Quality (WHO/OECD): To create a standardized framework, the World Health Organization and OECD identify six essential dimensions. A high-quality system must be:

  1. Effective: Providing evidence-based healthcare services to those who need them.
  2. Safe: Avoiding injuries to patients from the care that is intended to help them.
  3. People-Centred: Providing care that is respectful of, and responsive to, individual patient preferences, needs, and cultural values.
  4. Timely: Reducing waiting times and sometimes harmful delays for both those who receive and those who give care.
  5. Equitable: Providing care that does not vary in quality because of personal characteristics such as gender, ethnicity, geographic location, or socioeconomic status.
  6. Efficient: Maximizing the use of resources and avoiding waste, including waste of equipment, supplies, ideas, and energy.

• Donabedian’s Triad: A fundamental framework for evaluating healthcare quality by categorizing information into three interconnected components:

  1. Structure: The attributes of the settings in which care occurs. In paramedicine, this includes ambulance vehicles, defibrillator technology, staff qualifications, and clinical practice protocols.
  2. Process: What is actually done in giving and receiving care. Examples include performing a thorough $12$-lead ECG assessment, administering appropriate pain relief, and clear communication with hospital triage.
  3. Outcome: The effects of care on the health status of patients and populations. Examples include survival rates from cardiac arrest, patient satisfaction scores, and functional physical recovery post-injury.

• Quality Assurance (QA) vs. Quality Improvement (QI):

  • Quality Assurance (QA): A reactive process. It focuses on checking whether a system meets minimum standards and identifying failures or outliers after they have occurred.
  • Quality Improvement (QI): A proactive, iterative process. It focuses on continuously raising the standards of the entire system, operating under the assumption that everything can always be improved.

The Science of Improvement and Deming’s System of Profound Knowledge

• Improvement Science: A structured methodology that combines multiple disciplines, including psychology, engineering, and epidemiology. It is not merely "trying harder," but applying a rigorous framework.

• Deming’s System of Profound Knowledge (SoPK): Consists of four pillars:

  1. Appreciation for a System: Understanding how all components (dispatchers, paramedics, mechanics, hospital staff) work together toward a shared organizational goal.
  2. Knowledge of Variation: Distinguishing between Common Cause Variation (inherent, routine noise in a stable system) and Special Cause Variation (unusual, unpredictable events caused by external factors).
  3. Theory of Knowledge: Learning by forming hypotheses, making predictions, testing them, and analyzing results (the philosophy behind the PDSA cycle).
  4. Psychology: Understanding human behavior, motivation, and the management of organizational culture during change.

• The 7 Propositions of Improvement Science (Perla, Provost, and Parry, 2013):

  1. Grounded in Pragmatism: Focuses on practical utility and "what works" in messy real-world settings rather than controlled lab environments.
  2. Iterative Learning (PDSA): Building knowledge sequentially through small-scale, rapid tests of change.
  3. Contextual Knowledge: Recognizing that local social and environmental factors influence whether a strategy succeeds (e.g., urban vs. rural ambulance services).
  4. Prediction-Based: Moving from retrospective data analysis to creating models that predict how future changes will impact the system.
  5. Operational Definitions: Establishing clear, shared terms so measurements are consistent across the organization.
  6. Cause Systems (Variation): Using tools like Shewhart Charts (Control Charts) to determine if a process is stable.
  7. Systems Theory: Viewing the organization as a dynamic, adaptive system where all parts are interdependent.

Measurement for Improvement

• The Model for Improvement: Consists of three fundamental questions:

  1. What are we trying to accomplish? (Setting the Aim).
  2. How will we know a change is an improvement? (Measurement).
  3. What change can we make that will result in improvement? (Change Idea).

• The PDSA Cycle:

  • Plan: Objective, predictions, and plan for data collection.
  • Do: Test the change on a small scale.
  • Study: Analyze results and compare against predictions.
  • Act: Decide whether to Adopt, Adapt, or Abandon the change.

• Research vs. Quality Improvement:

  • Research: Focuses on discovering new knowledge through large studies with fixed hypotheses and statistical tests.
  • QI: Focuses on improving care through small sequential tests with flexible hypotheses using Run or SPC charts.

• Measurement Terms:

  • Quality Indicator: A measurable element that indicates quality (e.g., STEMI patients receive a $12$-lead ECG).
  • Review Criterion: Determines if a specific care activity occurred (e.g., was the ECG performed within $10$ minutes?).
  • Measure: Numerical expression of an indicator (e.g., percentage of STEMI patients receiving ECG within $10$ minutes).
  • Standard: The required level of performance. Target standard is the desired goal; Achieved standard is the actual performance.

• Good Indicators (VRSAFE): Indicators should be Valid, Reliable, Sensitive, Acceptable, Feasible, and Evidence-based.

• Types of Data:

  • Count: Raw numbers (e.g., $987$ ambulances).
  • Rate: Events per population (e.g., $124$ deaths per $100,000$).
  • Proportion/Percentage: Computed as $\frac{\text{Numerator}}{\text{Denominator}}$ (e.g., $\frac{55}{62} = 83.9\%$).

Statistical Process Control (SPC) and Variation

• Run Charts: Display data over time using a median. Useful for identifying trends or shifts.

• SPC Charts (Control Charts): Display data over time using a mean and include control limits (Upper Control Limit/Lower Control Limit, typically set at $\pm 3$ Standard Deviations).

• Types of Variation:

  • Common Cause Variation: Natural "noise" within a stable system. Improving this requires changing the system itself.
  • Special Cause Variation: A specific, identifiable "signal" outside the normal range. It must be investigated immediately.

• SPC Signals (Signals of Change):

  • Shift: $\ge 8$ consecutive points on one side of the centre line.
  • Trend: $\ge 6$ consecutive increases or decreases.
  • Astronomical Point: A data point that falls outside the control limits.

• Tampering: A mistake where management reacts to common cause variation as if it were special cause variation, which actually creates more instability in the system.

Patient Safety and Human Factors in Paramedicine

• Safety Context: Out-of-hospital care is unpredictable with limited safety infrastructure. It often relies on lagging indicators (measuring past harm) rather than proactive measures.

• Organizational Culture:

  • Blame Culture: Focuses on individual fault, leading to under-reporting, fear of punishment, and poor staff wellbeing.
  • Just Culture: Balances system and individual accountability. It asks "What happened?" instead of "Who did it?" and recognizes that most errors arise from system factors.

• Hierarchy of Safety Interventions (from most to least effective):

  1. Forcing Functions: Equipment designed so errors are impossible (e.g., Luer locks that won't fit wrong ports).
  2. Automation/Computerization: ePCRs that flag contraindications.
  3. Standardization: Consistent equipment layouts across all ambulances.
  4. Checklists: Zero Point Surveys or RSI checklists.
  5. Education/Training: The least effective because it relies on fallible human memory.

• Human Factors Domains:

  • Emotional: Stress, resilience, and confidence.
  • Cognitive: Attention, memory, and decision-making.
  • Social: Culture and power gradients.
  • Teamwork: Leadership and communication.
  • Environmental: Noise, weather, and confined spaces.

• Cognitive Load Theory:

  • Working Memory: Limited capacity of approximately $4-7$ items.
  • Intrinsic Load: The inherent difficulty of the task; reduced through training.
  • Extraneous Load: Unnecessary load from the environment or poor design (e.g., noise, chaos); reduced through standardization.

• Situation Awareness (SA):

  • Level 1: Perception (noticing cues).
  • Level 2: Comprehension (understanding cues).
  • Level 3: Projection (predicting future states).

• Zero Point Survey (ZPS) - STEP UP:

  • Self: "I'm SAFE" (Illness, Medication, Stress, Alcohol, Fatigue, Eating).
  • Team: Leader, roles, and briefing.
  • Environment: Control noise, light, and access.
  • Patient: ABCDE assessment.
  • Update: Share mental model.
  • Priorities: Establish treatment goals.

• SEIPS Framework: Systems Engineering Initiative for Patient Safety. It posits that Outcomes (safety, wellbeing) result from Processes, which are shaped by the Work System (Person, Tasks, Tools/Technology, Internal Environment, Organization, External Environment).

Diagnostic Error and Metacognition

• Dual Process Theory (DPT):

  • Type 1 (Intuitive): Fast, automatic, unconscious. Uses heuristics and pattern recognition ($90-95\%$ of decisions).
  • Type 2 (Analytical): Slow, deliberate, conscious, and rule-based. Less prone to error.

• Key Cognitive and Affective Biases:

  • Fundamental Attribution Error (FAE): Overestimating personality and underestimating circumstances (e.g., labeling a patient a "drug seeker").
  • Countertransference: Past experiences influencing current interactions.
  • Chagrin Factor: Avoiding diagnoses to prevent anticipated regret.
  • Outcome Bias: Judging a decision based on the result rather than the logic used at the time.

• Debiasing Strategies:

  • Executive Override: Recognizing the need to pause and analyze.
  • Metacognition: Thinking about how you think.
  • ROWS: Rule Out Worst-Case Scenario.
  • Consider the Opposite: Actively seeking evidence that contradicts the current hypothesis.

Tools for Safety and Quality Improvement

• Cause and Effect (Ishikawa) Diagrams - The 6Ms:

  1. Man (People): Skills, fatigue, training.
  2. Machine (Equipment): Monitors, stretchers.
  3. Material: Drugs, fluids, oxygen.
  4. Method (Processes): Protocols, checklists.
  5. Measurement: Accuracy of vitals/documentation.
  6. Milieu (Environment): Scene safety, weather.

• Failure Mode and Effects Analysis (FMEA): A proactive risk assessment that identifies Failure Modes (how a process fails) and Latent Safety Threats (LSTs) (hidden system vulnerabilities). Risks are prioritized by a Risk Priority Number (RPN) based on Severity, Frequency, and Detectability.

• Trigger Tools: A retrospective method using flags (triggers) in records (e.g., abnormal vitals, repeat calls) to detect potential adverse events more efficiently than random chart reviews.

• Speaking-Up Tools:

  • PACE: Probe, Alert, Challenge, Emergency.
  • CUSS: Concerned, Uncomfortable/Uncertain, Safety issue, Stop.

Safety-II and Performance Analysis

• Safety-I: Focuses on preventing failures (reactive). Humans are viewed as the cause of error.
• Safety-II: Focuses on ensuring things go right (proactive). Humans are viewed as agents of resilience. It focuses on everyday work and success.
• FRAM (Functional Resonance Analysis Method): A tool developed by Erik Hollnagel. It views systems as interacting functions where outcomes result from functional resonance of variability across six components: Input, Output, Preconditions, Resources, Control, and Time.
• WAI vs. WAD:
  • WAI (Work-As-Imagined): Policies and guidelines.
  • WAD (Work-As-Done): How work is actually performed on the frontline. Adaptations here are often necessary for success.

Models of Care and Clinical Pathways

• Model of Care: A framework describing how healthcare services are delivered. It shifts paramedicine from "scoop and run" to "treat, refer, or bypass."
• Extended Care Paramedics (ECPs): Perform holistic assessments, manage low-acuity conditions, and can include suturing or antibiotic prescribing.
• Community Paramedicine: A proactive, preventative model common in regional areas.
• Clinical Pathways:
  • Stroke: FAST positive $+$ treatment window $\rightarrow$ Stroke Centre bypass.
  • STEMI: ST-elevation $\rightarrow$ Cath Lab/PCI hospital bypass.
  • Major Trauma: GCS $< 13$ or SBP $< 90$ $\rightarrow$ Major Trauma Service bypass.

Health Profession Regulation (Ahpra & NRAS)

• National Registration and Accreditation Scheme (NRAS): Governed by Ahpra and the Paramedicine Board of Australia under National Law to protect the public.
• Professional Capabilities: Consists of 5 Domains: Professional & Ethical Practitioner, Communicator & Collaborator, Evidence-Based Practitioner, Safety & Risk Management Practitioner, and Paramedicine Practitioner.
• Mandatory Reporting: Legal obligation to report colleagues for practice while intoxicated, sexual misconduct, or gross negligence.

Root Cause Analysis (RCA) and Debriefing

• Sentinel Events: Unexpected events causing death or serious harm that trigger an RCA.
• RCA Steps: 8-step process including fact-gathering, identifying root causes, developing corrective actions, and monitoring outcomes.
• Clinical Debriefing:
  • Debrief-to-Learn: Structured conversation focusing on performance improvement (TALK, STOP5, SHARP frameworks). Recommended.
  • Debrief-to-Treat: Focuses on emotional processing and preventing PTSD. WHO advises against this in group settings as it may worsen trauma through forced re-exposure.

National Safety and Quality Health Service (NSQHS) Standards

• The 8 Standards:
  1. Clinical Governance.
  2. Partnering with Consumers.
  3. Preventing & Controlling Infection.
  4. Medication Safety.
  5. Comprehensive Care.
  6. Communicating for Safety (Structured handovers like IMIST-AMBO or ISBAR).
  7. Blood Management.
  8. Recognising & Responding to Acute Deterioration.