Model for Improvement

Model for Improvement
Name	Model for Improvement
Developer	Associates in Process Improvement
Introduced	1990s
Based on	Plan–Do–Study–Act
Primary use	Quality improvement, healthcare, industrial processes

Model for Improvement

The Model for Improvement is a structured approach to quality improvement developed to accelerate change in clinical care, industrial processes, and organizational performance. It combines a clear aim-setting framework with iterative testing methods derived from W. Edwards Deming and Walter A. Shewhart traditions, and it has been propagated by organizations such as Institute for Healthcare Improvement, Asssociates in Process Improvement, and Joint Commission initiatives. The Model has been used by actors ranging from National Health Service trusts and Mayo Clinic to Toyota-influenced manufacturing programs in General Electric and Ford Motor Company.

Overview

The Model for Improvement asks three fundamental questions—what are we trying to accomplish, how will we know a change is an improvement, and what changes can we make that will result in improvement—paired with iterative Plan–Do–Study–Act cycles. It synthesizes concepts promoted by W. Edwards Deming, Joseph M. Juran, Kaoru Ishikawa, and Philip B. Crosby while aligning with improvement movements led by Institute for Healthcare Improvement and standards advocated by ISO 9001. The Model is often taught alongside tools from Six Sigma, Lean, Root cause analysis, and statistical process control methods used by Shewhart and Deming Prize winners.

Origins and development

The Model emerged in the 1990s from work at the Institute for Healthcare Improvement and the Asssociates in Process Improvement who adapted industrial quality methods to healthcare contexts. Influences include the Plan–Do–Study–Act cycle traced to Walter A. Shewhart and popularized by W. Edwards Deming during postwar reconstruction efforts that engaged entities like Toyota Motor Corporation and Nissan. Subsequent dissemination drew on improvement collaboratives modeled after breakthroughs by Mayo Clinic teams, Brigham and Women's Hospital, and national campaigns led by organizations such as the Centers for Medicare & Medicaid Services and World Health Organization. Training and publications by figures associated with the Model have appeared alongside initiatives from The Joint Commission and accreditation bodies like National Committee for Quality Assurance.

Core components and methodology

The Model centers on three explicit questions for aim-setting and measurement, and it operationalizes change through iterative Plan–Do–Study–Act (PDSA) cycles. Core methodological elements link to tools and frameworks developed or promoted by W. Edwards Deming, Joseph M. Juran, Kaoru Ishikawa, Edward de Bono (for idea generation), and Eliyahu M. Goldratt (for constraint identification). Measurement strategies draw on control charts popularized by Walter A. Shewhart and statistical techniques used in Six Sigma programs at Motorola and General Electric. The Model encourages forming multidisciplinary teams like those at Johns Hopkins Hospital, using driver diagrams reminiscent of systems maps from Peter Senge and employing change ideas cataloged by Institute for Healthcare Improvement faculty.

Applications and implementation

The Model has been applied widely in United Kingdom's National Health Service safety initiatives, in large American integrated systems such as Kaiser Permanente and Mayo Clinic, and in manufacturing improvements at Toyota and Ford Motor Company. Sectors adopting the Model include hospital patient safety programs at Brigham and Women's Hospital, infection-control campaigns run by Centers for Disease Control and Prevention, and public health interventions supported by World Health Organization collaboratives. Implementation commonly involves learning collaboratives modeled after IHI Breakthrough Series projects, coaching from improvement organizations like Institute for Healthcare Improvement and Asssociates in Process Improvement, and alignment with regulatory standards set by The Joint Commission and payer programs such as Centers for Medicare & Medicaid Services quality incentives.

Effectiveness and evidence

Evidence for the Model's effectiveness is mixed but includes successful case studies from Mayo Clinic sepsis initiatives, Institute for Healthcare Improvement collaboratives that reduced central line–associated bloodstream infections, and improvement efforts in National Health Service trusts that lowered waiting times. Systematic reviews compare Model-based interventions with Lean and Six Sigma projects in contexts ranging from Johns Hopkins Hospital patient safety programs to manufacturing at General Electric; results often show rapid local gains but variable sustainability. Large-scale trials and quasi-experimental studies funded by agencies such as Agency for Healthcare Research and Quality and evaluations by King’s Fund document both process improvements and challenges in translating pilot gains into widespread, durable change.

Criticisms and limitations

Critics note that the Model's simplicity can obscure complexity, and that PDSA cycles may be applied superficially without robust statistical design, a concern raised in critiques from academic centers such as Harvard Medical School and University of Pennsylvania Health System. Other limitations include variability in measurement rigor identified by reviewers at Cochrane Collaboration and scalability problems documented in national programs evaluated by National Audit Office and Healthcare Quality Improvement Partnership. Organizational barriers—highlighted in analyses from Institute of Medicine—such as leadership turnover, resource constraints, and misalignment with incentive structures like those from Centers for Medicare & Medicaid Services can impede long-term impact.

Category:Quality improvement