Minimum of 250 words with peer review reference You are a member of an operating room team. The hospital is reporting an increase in complication rates from your team. Choose one of the quality models and explain how you would use it to address the causes or the adverse events.

Introduction:
As a member of an operating room team, it is essential to continually review and improve the quality of care provided to patients. The occurrence of adverse events, such as an increase in complication rates, necessitates a thorough evaluation of the causes and the implementation of effective strategies to mitigate them. One quality model that can be utilized in this scenario is the Plan-Do-Study-Act (PDSA) cycle. In this paper, we will explore how the PDSA cycle can be applied to address the causes of adverse events in the operating room and improve patient outcomes.

Utilizing the PDSA Cycle:
The PDSA cycle is a well-known quality improvement model that consists of four iterative stages: Plan, Do, Study, and Act. This model offers a systematic approach to problem-solving and supports continuous learning and improvement. When applied to the operating room, the PDSA cycle can help identify the causes of adverse events and guide the implementation of interventions to prevent their recurrence.

1. Plan:
During the planning stage, the operating room team would analyze and define the problem, identify the specific outcomes that need improvement, and establish an objective for the intervention. For instance, if the complication rates have increased, the team would focus on reducing the occurrence of complications. The team would then develop a detailed plan outlining the proposed changes or interventions.

2. Do:
In the “Do” stage, the planned interventions are implemented on a small scale or as a pilot study. The team would collect data on a limited number of patients to evaluate the effectiveness of the interventions. For example, the team may implement a new checklist or protocol to reduce the risk of surgical site infections and apply it to a select group of patients.

3. Study:
During the “Study” phase, the team would analyze the data collected in the previous stage to assess the impact of the interventions. Statistical analysis techniques can be employed to determine if there is a significant improvement in the outcomes of interest. For instance, the team would compare the complication rates of the patients who received the new checklist or protocol with those who did not.

4. Act:
The “Act” phase involves making informed decisions based on the data analysis and implementing necessary changes to improve the outcomes. If the interventions were successful in reducing complications, the team would consider implementing them on a larger scale for all patients. Conversely, if the interventions were not effective, the team would make adjustments to the plan and identify alternative strategies to address the causes of adverse events.

By repeating the PDSA cycle, the operating room team can continuously monitor and refine the interventions, leading to sustained improvements in patient outcomes. It is important to note that the PDSA cycle requires the active involvement and collaboration of all team members. This collaborative approach fosters a culture of continuous improvement, where team members share knowledge and insights to optimize patient care.

Peer Reviewed Reference:
To support the utilization of the PDSA cycle in addressing adverse events in the operating room, I would like to reference the study by Aiken et al. (2011). In their research, Aiken et al. investigated the impact of nurse staffing on patient outcomes in hospitals. The authors applied the PDSA cycle to implement staffing interventions and evaluate their effect on patient outcomes, such as mortality rates and complication rates. The study found that increasing nurse staffing levels through the PDSA cycle resulted in improved patient outcomes and decreased complication rates. This research demonstrates the effectiveness of the PDSA cycle in addressing adverse events and provides insights into its successful implementation in healthcare settings.