Quality Improvement and Patient Safety
Quality improvement and patient safety is the field within health services research concerned with measuring how good health care is, understanding why care falls short of what is achievable, and systematically changing care delivery so that it is safer and more effective. It treats the quality of care as a measurable property of health systems rather than of individual practitioners alone.
Definition
Quality improvement and patient safety is the study and practice of assessing and raising the degree to which health services increase the likelihood of desired health outcomes and are consistent with current knowledge, while reducing avoidable harm to patients.
Scope
This area orients the reader to the core ideas that organize the field: Donabedian's structure-process-outcome framework for evaluating care; the systems view of error popularized after the patient-safety movement of the late 1990s; the distinction between measuring quality and improving it; and patient-reported outcomes as a measure of value. It links to its constituent topics rather than detailing each, and it describes how knowledge in the field is generated rather than offering clinical instructions.
Sub-topics
Core questions
- How should the quality of health care be defined and measured?
- Why do safe, effective, evidence-based practices fail to reach patients reliably?
- How do system factors, rather than individual blame, explain medical error?
- Which improvement methods actually produce durable change in care delivery?
- How can outcomes that matter to patients be captured and used?
Key concepts
- Structure, process, and outcome measures
- The six aims: safe, effective, patient-centered, timely, efficient, equitable
- Quality-of-care gap (the difference between achievable and delivered care)
- Systems thinking and just culture
- Triple Aim: better care, better health, lower cost
- Value as outcomes relative to cost
Key theories
- Donabedian's structure-process-outcome model
- Quality of care can be inferred from the attributes of the settings in which care occurs (structure), what is done in giving and receiving care (process), and the effect of care on health status (outcome); these three components form the dominant framework for organizing quality measurement.
- Systems approach to error
- Most adverse events arise from latent weaknesses in systems and processes rather than from individual carelessness; safety is therefore improved by designing systems that make errors less likely and their consequences less severe.
Clinical relevance
The concepts in this area underpin how hospitals, regulators, and payers judge and try to raise the quality and safety of care, and they shape the indicators clinicians encounter in practice. The entry is a reference orientation to how quality is conceived and studied; it is not a protocol for managing any individual patient.
Epidemiology
Large studies have documented a persistent gap between recommended and delivered care, with one US study finding adults received about half of recommended care processes (McGlynn 2003). Reports synthesized in the patient-safety movement estimated that preventable adverse events contribute substantially to in-hospital harm, motivating the field's growth since 2000 (Kohn 2000).
Evidence & guidelines
The field is anchored by influential consensus reports — To Err Is Human (2000) and Crossing the Quality Chasm (2001) — and by frameworks such as the Triple Aim (Berwick 2008). Empirical evidence comes from observational measurement studies, improvement trials, and systematic reviews, with reporting standards such as SQUIRE used for improvement work.
History
Systematic attention to medical-care quality grew from Donabedian's 1966 framework and earlier hospital standardization efforts. The modern patient-safety movement was catalyzed by the Institute of Medicine's To Err Is Human (2000), which reframed error as a systems problem, and Crossing the Quality Chasm (2001), which defined six aims for the health system. Subsequent work, including the Triple Aim (2008), broadened the agenda from safety to value.
Debates
- Does measurement improve care or distort it?
- Quality indicators can drive improvement but may also create measurement burden, gaming, or neglect of unmeasured aspects of care; how to measure without distortion remains contested.
Key figures
- Avedis Donabedian
- Lucian Leape
- Donald Berwick
- James Reason
- Mary Dixon-Woods
Related topics
Seminal works
- donabedian-1966
- kohn-2000
- iom-2001
- mcglynn-2003
Frequently asked questions
- What is the difference between quality improvement and patient safety?
- Quality improvement aims to raise the overall degree to which care achieves desired outcomes consistent with current knowledge, while patient safety focuses specifically on preventing avoidable harm; safety is widely treated as one dimension of quality.
- What is Donabedian's framework?
- It proposes that quality can be assessed through three linked components — structure (resources and organization), process (what is done in care), and outcome (the resulting health status) — which together provide a standard vocabulary for quality measurement.