CCQM cheat sheet

Donabedian model: Structure (resources, staffing, systems) → Process (what is done) → Outcome (results); measure all three to attribute causes of variation.

Avedis Donabedian's seven pillars of quality: efficacy, effectiveness, efficiency, optimality, acceptability, legitimacy, equity.

Six aims of the IOM/NAM report Crossing the Quality Compass: safe, effective, patient-centered, timely, efficient, equitable.

Three classic quality gurus: Deming (PDSA, 14 points, system view), Juran (quality trilogy: planning, control, improvement), Crosby (zero defects, cost of nonconformance).

Cost of quality = cost of good quality (prevention + appraisal) + cost of poor quality (internal failure + external failure); external failure typically carries the highest per-event cost.

Quality governance roles: board sets strategy and risk appetite; quality committee oversees metrics; medical staff/credentialing body governs clinical competence; management executes.

Leadership engagement rule: a quality plan without executive sponsor, allocated budget, and named accountable owner is not operational.

Just culture: human error → console; at-risk behavior → coach; reckless behavior → sanction. Distinguish from blame-free culture, which tolerates recklessness.

Measure types: structure, process, outcome, balancing, and patient-experience measures; a balanced set spans all five.

Indicator specification must state numerator, denominator, exclusions, data source, collection method, and measurement period - otherwise results are not comparable.

Rate = (numerator ÷ denominator) × 100; always report numerator and denominator alongside the percentage.

Small denominators (<30) produce unstable rates; use run charts, confidence intervals, or rolling aggregation instead of point comparison.

Risk adjustment (e.g., age, severity, comorbidity) is required when comparing outcomes across providers or populations; unadjusted comparisons invite case-mix bias.

Leading indicators predict future performance (e.g., hand-hygiene compliance); lagging indicators record results (e.g., surgical site infection rate).

Benchmarking sources: internal historical baseline, external peer group, and top-decile best practice; specify which is used.

Statistical process control: special-cause variation = non-random signal (shift of 6+ points, trend of 5+, point beyond 3 sigma); common-cause variation requires system redesign, not individual correction.

PDSA cycle: Plan (predict outcome and metric) → Do (small-scale test) → Study (compare prediction to data) → Act (adopt, adapt, or abandon).

Model for Improvement = three questions (What are we trying to accomplish? How will we know change is an improvement? What changes can we make?) plus PDSA.

DMAIC (Define, Measure, Analyze, Improve, Control) is the Six Sigma roadmap for reducing defect variation; Lean targets waste removal (overproduction, waiting, transport, overprocessing, inventory, motion, defects).

Seven basic quality tools: cause-and-effect (fishbone) diagram, check sheet, control chart, histogram, Pareto chart, scatter diagram, flowchart.

Pareto principle: roughly 80% of effects come from 20% of causes; rank causes by frequency and attack the vital few first.

FMEA: Risk Priority Number = Severity × Occurrence × Detection (each usually 1–10); higher RPN = higher priority for mitigation.

Root cause analysis: event → immediate causes → contributing factors → root causes; use 5 Whys and fishbone; output must be actionable system changes, not individual blame.

Key driver diagram links an aim to primary drivers, secondary drivers, and specific change ideas - the standard map for improvement portfolios.

Swiss cheese model: harm requires alignment of holes across multiple defensive layers; fix layers, not just the last human in the chain.

Hierarchy of effectiveness (strongest to weakest): forcing functions/physical constraints > automation and computerization > simplification and standardization > checklists and rules > education and training > warnings and labels.

Sentinel event = unexpected occurrence involving death or serious physical or psychological injury, or risk thereof; requires immediate containment, notification, and root cause analysis.

Medication safety high-alert categories: anticoagulants, insulin, opioids, concentrated electrolytes, neuromuscular blockers - independent double-check is standard.

Handoff tools: SBAR (Situation, Background, Assessment, Recommendation) and I-PASS; standardization reduces omission errors at transitions.

Speak-up culture requires a non-punitive reporting channel plus feedback loop; reporting rates rise only when reporters see action taken.

Risk treatment options: avoid, reduce/mitigate, transfer (insurance), accept; residual risk must be documented and monitored.

Failure mode analysis vs RCA: FMEA is prospective (before harm), RCA is retrospective (after harm).

Accreditation standards (e.g., Joint Commission International, ISQua-aligned national bodies) are organized by patient-centered and health-system functions; survey methods include tracer, document review, and staff interview.

Tracer methodology follows a real patient's care path across departments to test system integration rather than single-department compliance.

Regulatory vs accreditation: regulation is legally mandated by government authority; accreditation is voluntary (usually) third-party evaluation against standards.

Mandatory reporting obligations typically include sentinel events, notifiable diseases, adverse drug reactions, and medical device incidents - each with its own timeline.

Document control: current version only at point of use; obsolete documents removed or clearly marked; each policy has owner, approval date, review cycle.

Competency file for each clinician: license/registration, credentials, training records, and periodic performance appraisal - surveyors sample these.

Compliance program elements: written standards, designated compliance officer, training, monitoring/auditing, reporting mechanism, enforcement, and corrective action.

Survey readiness is continuous, not episodic: mock tracers, gap analysis against every standard, and corrective action tracking with evidence of closure.

Data quality dimensions: accuracy, completeness, timeliness, consistency, validity, uniqueness - assess each before using data for decisions.

Data lifecycle: capture → validation → storage → analysis → reporting → retention/disposal; governance defines ownership and access at each stage.

Data governance roles: data owner (accountable for a domain), data steward (quality and definitions), custodian (technical storage and security).

Indicator data source hierarchy: automated EHR extraction > structured registry > manual audit; manual abstraction requires inter-rater reliability checks (target kappa ≥ 0.80 for substantial agreement).

Visualization choice rule: trend over time → run/control chart; comparison across categories → bar chart; distribution → histogram; relationship → scatter plot; composition → stacked bar (avoid pie for >3 slices).

Reporting cadence should match decision cadence: operational daily/weekly, quality committee monthly/quarterly, board quarterly/annually.

Confidentiality controls: minimum necessary access, de-identification, audit trails, role-based permissions; breaches require notification per jurisdiction.

Distinguish statistical significance from practical significance: with large n, trivial differences become significant - anchor interpretation to a pre-specified clinically meaningful threshold.

Stakeholder analysis: map each stakeholder by influence and interest; high influence/high interest = manage closely; low/low = monitor.

Kotter's 8 steps: urgency, coalition, vision, communicate, empower/remove barriers, short-term wins, consolidate, anchor in culture.

ADKAR (Prosci): Awareness, Desire, Knowledge, Ability, Reinforcement - resistance is diagnosed at the missing element, not treated generically.

Lewin's model: unfreeze → change → refreeze; change fails when refreezing (embedding in policy, training, metrics) is skipped.

Communication plan must specify audience, message, channel, frequency, sender, and feedback mechanism - one channel never reaches all groups.

Diffusion of innovations (Rogers): innovators, early adopters, early majority, late majority, laggards; engage early adopters as peer champions to cross the chasm.

Physician engagement levers: relevance to their patients, credible peer leaders, data feedback, and reduction of administrative burden.

Resistance is data: record objections, map them to ADKAR elements, and respond with targeted interventions rather than repetition of the message.