Quality of care is the degree to which health services increase the likelihood of desired health outcomes and match current professional knowledge. A widely used set of aims describes good care as safe, effective, patient-centered, timely, efficient, and equitable.
| Term | Meaning | Key point for exams |
|---|
| Quality assurance (QA) | Checks whether care meets a set standard; often inspection after the fact | Asks "did we meet the standard?"; tends to look for individual deviations |
| Quality improvement (QI) | Systematic, data-driven effort to make care better | Focuses on processes and systems, not on blaming people |
| Continuous quality improvement (CQI) | QI done as an ongoing cycle, never "finished" | Monitor → analyze → improve → monitor again |
| Total quality management (TQM) | Organization-wide philosophy: everyone is responsible for quality; customer focus | Management commitment and staff participation at all levels |
| Nursing audit | Review of records or care against criteria | Retrospective (after discharge, from charts) or concurrent (while the client is still receiving care) |
| Benchmarking | Comparing own performance with the best performers | Sets realistic targets and learns from better practices |
| Standard | Agreed level of performance used as a yardstick | Must be clear, measurable, realistic, and accepted by staff |
Why QI matters to the staff nurse: nurses deliver most bedside processes (assessment, medication administration, fall and pressure-injury prevention, infection prevention), so most quality indicators depend on nursing care.
Donabedian model — structure, process, outcome
| Dimension | What it measures | Nursing examples |
|---|
| Structure | Resources and setting in which care is given | Nurse-to-patient ratio, staff qualifications, equipment, policies, physical facilities |
| Process | What is actually done for the client | Pain reassessed after an analgesic, fall-risk screening on admission, hand-hygiene compliance, following a central line bundle |
| Outcome | Change in the client's health status | Fall rate, pressure injury rate, central line-associated bloodstream infection (CLABSI) rate, patient satisfaction, mortality |
Good structure makes good process more likely, and good process makes good outcomes more likely. A process measure improving (fewer medication errors reported, better compliance) should be checked against outcomes to confirm real benefit.
PDCA / PDSA cycle (Deming)
- Plan — define the problem with data, find causes, choose a change, set a measurable aim
- Do — try the change, usually on a small scale (pilot), and collect data
- Check / Study — compare results with the aim
- Act — adopt, adapt, or abandon the change; standardize what works; start the next cycle
Other QI models
- FOCUS-PDCA: Find a process to improve, Organize a team, Clarify current knowledge, Understand causes of variation, Select the improvement, then PDCA
- Six Sigma (DMAIC): Define, Measure, Analyze, Improve, Control — reduces variation and defects (target about 3.4 defects per million opportunities)
- Lean: removes waste (waiting, unnecessary motion, excess inventory, rework) to improve flow
The management control process (the controlling function)
- Establish standards (first step)
- Measure actual performance
- Compare performance with standards and analyze the cause of any deviation
- Take corrective action, then re-measure
Types of control by timing
- Feedforward (preliminary) — before work starts: orientation, policies, competency checks
- Concurrent — during work: real-time alerts, supervision rounds, direct observation
- Feedback (post-action) — after work: monthly error rates, audits of discharged charts, patient satisfaction surveys
Characteristics of effective control: accurate, timely, objective, focused on strategic points, economical (cost of control must not exceed the benefit), acceptable to staff, and linked to corrective action.
Evidence-based practice (EBP) integrates best research evidence, clinical expertise, and client values and preferences. EBP supplies the "what to change"; QI supplies the "how to implement and monitor it".
Common QI tools
| Tool | Use |
|---|
| Flowchart | Maps the steps of a process to find delays, duplications, gaps |
| Cause-and-effect (fishbone / Ishikawa) diagram | Groups possible causes (people, methods, equipment, materials, environment, policies) |
| Pareto chart | Ranks causes by frequency; the "vital few" causes produce most problems (80/20 idea) |
| Run chart | Plots data over time to show trends and whether a change is working |
| Control chart | Run chart with statistical control limits; separates common-cause from special-cause variation |
| Check sheet | Simple tally for collecting data |
| Histogram | Shows the distribution of values |
| Priority (decision) matrix | Scores options against criteria such as impact, feasibility, and cost to choose one improvement |
| Brainstorming / nominal group technique | Generates and ranks ideas as a team |
Standardization tools
- Protocol — step-by-step instructions for a specific procedure or situation
- Algorithm — flow diagram with decision points (if yes → go here; if no → go there)
- Clinical pathway (critical pathway) — multidisciplinary, time-sequenced plan for a typical client with a given condition; deviations from the expected path are called variances
- Care bundle — a small set of evidence-based practices that improve outcomes when done together, every time (e.g., central line insertion and maintenance bundle); compliance is measured as all-or-none
Running a unit QI project (example flow)
- Choose a problem that matters and can be measured (e.g., falls per 1,000 patient-days)
- Form a multidisciplinary team including frontline staff
- Collect baseline data and analyze causes before choosing solutions
- Test the change on one shift or one unit (PDSA)
- Monitor with a run chart; spread only what works; keep monitoring to sustain gains
Indicator formula example
Fall rate = (number of falls ÷ number of patient-days) × 1,000. A unit with 4 falls in 2,000 patient-days has a rate of (4 ÷ 2,000) × 1,000 = 2 falls per 1,000 patient-days.
Staff nurse
- Follow standards, protocols, and bundles consistently; they are the process measures
- Report errors, near misses, and unsafe conditions
- Collect accurate data (audits, checklists) and take part in QI teams
- Suggest improvements from frontline experience
Nurse manager
- Set unit standards and targets aligned with hospital goals
- Share data openly with staff and celebrate improvement
- Use a non-punitive, system-focused approach; involve staff in solutions
- Allocate time and resources for QI; sustain changes through policy, orientation, and monitoring
Quality or nursing service committee
- Selects indicators, reviews data regularly, prioritizes improvement areas, and reports to hospital leadership
- In the Philippines, DOH licensing standards and PhilHealth accreditation expect hospitals to have functioning quality and patient safety programs (see Topics 26 and 28). The Universal Health Care Act (RA 11223) directs PhilHealth to reward facilities with better quality through a rating and incentive system and directs the DOH to set clinical care standards through clinical practice guidelines.
- Confidentiality: QI data drawn from records are handled under the Data Privacy Act of 2012 (RA 10173); use the minimum identifiable data needed and report aggregated results.
- Justice and beneficence: QI aims to give every client safe, effective care; ignoring known quality gaps is an ethical failure.
- Honest data: altering or hiding indicator data to "look good" is unethical and defeats the purpose of improvement.
- QI projects that become formal research (for publication with identifiable data) may need ethics review according to institutional policy.
Case 1 — Low patient understanding scores. Satisfaction surveys show low scores for "the nurse explained my medicines clearly." The manager wants to start a new teaching pamphlet at once.
- Correct first action: analyze the data first (which shifts, which units, which topics, which staff groups) to find the cause.
- Why: QI decisions are data-driven; jumping to a solution may fix the wrong problem.
Case 2 — Central line infections. The CLABSI rate is above target. The team reviews the evidence, introduces a standard insertion and maintenance bundle, and audits compliance weekly.
- Classification: CLABSI rate = outcome; bundle compliance = process; availability of prepacked insertion kits = structure.
- Why: linking structure, process, and outcome shows where the problem lies.
Case 3 — Pilot online training. Low completion of central line training among new nurses. The team plans an online module and runs it first with one batch of new hires.
- PDCA step: running the module with one batch = Do (small-scale test).
- Why: testing small limits risk before full implementation.
Case 4 — Hand hygiene below 90% target. Observation shows 72% compliance.
- Control process step next: analyze the deviation (interview staff, check dispenser locations and supplies), then take corrective action and re-measure.
- Why: corrective action must target the actual cause.
- Confusing process and outcome indicators: "pain reassessed within one hour" is process; "pain score reduced" is outcome.
- Thinking QI means finding the person at fault — CQI targets systems and processes; blame suppresses reporting.
- Skipping baseline measurement; without it, improvement cannot be shown.
- Implementing a change hospital-wide without a small test (skipping "Do" as a pilot).
- Assuming the first step of the control process is measuring — standards come first.
- Mixing up protocol (steps), algorithm (decision points), and clinical pathway (multidisciplinary time sequence).
- Believing QA and QI are identical: QA checks conformance; QI seeks continuous betterment.
- Stopping monitoring after the target is reached; gains fade without sustained measurement.
- Donabedian: structure (resources) → process (care given) → outcome (client result).
- CLABSI, fall, and pressure injury rates are outcome indicators; bundle or protocol compliance is a process indicator; staffing and equipment are structure.
- PDCA/PDSA: Plan → Do (small pilot) → Check/Study → Act.
- CQI and TQM are continuous, system-focused, data-driven, and involve everyone.
- Control process: set standards → measure → compare and analyze deviation → correct.
- Feedforward = before; concurrent = during; feedback = after.
- Pareto (vital few causes), fishbone (categories of causes), run chart (trend over time), control chart (variation limits).
- Benchmarking = compare with best performers to set targets and learn practices.
- EBP = research evidence + clinical expertise + client preferences.
- Retrospective audit uses closed charts; concurrent audit happens during care.
- Rate per 1,000 patient-days = (events ÷ patient-days) × 1,000.