DNP 835 Module 3 Comparing Quality Improvement Models Example

Three Methods, One Late Start: Comparing Lean, Six Sigma and the Model for Improvement for Operating Room First-Case Delays

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Doctor of Nursing Practice Program, Aspen University

DNP 835: Strategic Leadership and Business Management

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Month Day, Year

Three Methods, One Late Start: Comparing Lean, Six Sigma and the Model for Improvement for Operating Room First-Case Delays

Health care organizations borrow quality improvement methods from manufacturing and other industries, and leaders often choose among them by habit or fashion. The better question is which method fits the problem, the data available and the organization's capacity. This paper compares three widely used approaches, Lean, Six Sigma and the Model for Improvement, applied to a single problem at a composite 350-bed hospital: first surgical cases of the day that start late. It describes how each method would approach the problem, summarizes what the evidence says about each, and explains the choice the nurse leader made.

The Problem

The hospital's operating rooms schedule first cases at 7:30 a.m. Over the past six months, only 58% started within five minutes of the scheduled time, and the average delay among late starts was 17 minutes. Because the first case sets the schedule for the day, late starts cascade into later cases, overtime for perioperative nurses and anesthesia staff, and patients waiting hours without food. Preliminary observation suggested many contributing causes: patients arriving late to preoperative holding, missing consents or history and physical documents, late arrival of surgeons or anesthesia providers, and delays in room turnover from the previous evening.

How Each Method Would Approach It

Lean focuses on flow and waste. A Lean team would map the value stream from the patient's arrival to incision, observe each step, identify waste such as waiting, rework and unnecessary motion, and redesign the process to flow, for example by standardizing preoperative preparation so that documents are complete the day before and by using visual boards to show each patient's readiness. Lean emphasizes involving frontline staff and making problems visible.

Six Sigma focuses on variation and uses a structured sequence known as define, measure, analyze, improve and control. A Six Sigma team would define on-time start precisely, measure start times and their components, use statistical analysis to identify which causes explain most of the variation, test solutions and establish control charts to sustain gains. It relies on trained specialists and good data.

The Model for Improvement begins by asking the team to name its aim, the measures that will tell it whether things got better, and the changes it might try, and then tests changes in rapid Plan-Do-Study-Act cycles, starting small and building confidence before spreading. It is simple, flexible and accessible to frontline teams.

What the Evidence Shows

The evidence for each method is weaker than their popularity suggests. A review of Six Sigma and Lean in health care identified 177 articles over ten years, of which just 34 reported outcomes of any kind, and under a third of that small group tested their results statistically, leading the authors to conclude that evidence that these methods improve health care quality was very weak (DelliFraine et al., 2010). A later comprehensive review of 243 articles on Lean in health care found that Lean is best understood as a means to increase productivity, that most applications were in hospitals, particularly emergency and surgical departments, and that results were promising but not conclusive, with sustainability and system-wide evaluation underexplored (D'Andreamatteo et al., 2015). For the Model for Improvement, a review of published PDSA projects found that most reports left out the method's core features, such as iterative cycles and frequent data, which makes it hard to judge the method itself (Taylor et al., 2014).

The consistent lesson is that the method matters less than how faithfully and thoughtfully it is applied. None has strong comparative evidence of superiority.

Choosing for This Problem

For first-case delays, the nurse leader chose a blend. Lean's value stream mapping fits a flow problem with multiple handoffs between units and disciplines, and its emphasis on frontline involvement suits a perioperative team that knows the process intimately. Some Six Sigma tools, particularly precise measurement of start times and a Pareto analysis to show which causes account for most delays, help target effort, although the hospital lacks trained Six Sigma specialists for a full project. The Model for Improvement provides the testing structure: once the map and data identify the main causes, the team tests changes, such as calling patients the evening before, completing document checks the day before and a 7:00 a.m. readiness huddle, in small cycles on one or two rooms before spreading.

Measures for the Project

The team will define success before beginning. The outcome measure is the percentage of first cases with incision within 15 minutes of the scheduled time, a definition agreed with surgeons and anesthesia so that no group disputes the data. Process measures include the percentage of patients with complete consents and history and physical documents by 5 p.m. the day before surgery, patient arrival time in preoperative holding, and time of surgeon and anesthesia provider arrival. Balancing measures include overtime for preoperative nurses, who may be asked to start earlier, and patient-reported waiting time. Data will be plotted weekly on run charts, a feature of all three methods, letting everyone check week by week whether the changes help and whether the gains last after the project team moves on.

Leadership Considerations

Whatever the method, success depends on leadership. The chief nursing officer and chief of surgery must jointly sponsor the project, since surgeon and anesthesia arrival are part of the problem. Data on start times must be shared transparently, including by surgeon, which requires careful handling to avoid blame. And the team needs protected time for mapping and testing, which the perioperative director must arrange within staffing.

Conclusion

Lean, Six Sigma and the Model for Improvement offer different lenses: flow and waste, variation and statistical control, and rapid testing. The evidence does not show one to be superior, and much of the published work is weak, so the choice should fit the problem, the data and the organization's capacity. For operating room first-case delays, a blend of Lean mapping, targeted Six Sigma measurement and Model for Improvement testing, supported by joint leadership and transparent data, offers the best chance of lasting improvement.

References

D'Andreamatteo, A., Ianni, L., Lega, F., & Sargiacomo, M. (2015). Lean in healthcare: A comprehensive review. Health Policy, 119(9), 1197-1209. https://doi.org/10.1016/j.healthpol.2015.02.002

DelliFraine, J. L., Langabeer, J. R., & Nembhard, I. M. (2010). Assessing the evidence of Six Sigma and Lean in the health care industry. Quality Management in Health Care, 19(3), 211-225. https://doi.org/10.1097/QMH.0b013e3181eb140e

Taylor, M. J., McNicholas, C., Nicolay, C., Darzi, A., Bell, D., & Reed, J. E. (2014). Systematic review of the application of the plan-do-study-act method to improve quality in healthcare. BMJ Quality & Safety, 23(4), 290-298. https://doi.org/10.1136/bmjqs-2013-001862