Why the study?
Clinicians often fail to sustain adherence to best-practice guidelines over time, leading to quality improvement drift in preoperative ECG ordering.
Does the implementation of best-practice guidelines and PDSA cycles reduce the rate of unnecessary preoperative ECGs in a preadmission testing clinic?
Observational
No
Does the implementation of best-practice guidelines and PDSA cycles reduce the rate of unnecessary preoperative ECGs in a preadmission testing clinic?
A quality improvement initiative utilizing PDSA cycles, education, and feedback successfully reduced and sustained a lower rate of unnecessary preoperative ECGs, yielding significant cost savings.
Answers are grounded in this paper and cite their sources.
Supports PDSA-based QI to reduce unnecessary preoperative ECGs; leaves open generalizability beyond this single-center cohort.
CONTEXT: Medical professionals commonly fail to follow best practice guidelines. Drift, or a return to previous tendencies, is abundant in healthcare even when guidelines are followed initially. This "drift" was found internally at Temple University Hospital with preoperative electrocardiograms (ECGs). Best-practice guidelines were instituted and followed as a first step, but sustaining performance improvement was the ultimate goal. OBJECTIVES: The objectives are to improve and maintain adherence to published guidelines for preoperative ECG testing at Temple University Hospital in a physician-led, nurse practitioner (NP)-staffed preadmission testing (PAT) clinic. METHODS: To start this quality improvement (QI) project, a retrospective chart review was completed to determine the number of ECGs performed in PAT at Temple University Hospital in 2017. New guidelines for ordering preoperative ECGs were then implemented, and Plan-Do-Study-Act (PDSA) cycles were performed over 3 years. A repeat retrospective chart review was completed and looked at ECGs ordered from 2018 through 2020. The number of ECGs completed in PAT before and after implementation of the new guidelines was then compared. In addition, the complexity of our surgical patients was estimated by looking at the yearly average American Society of Anesthesiology Physical Health Status (American Society of Anesthesiology [ASA] status) values assigned. Finally, the cost of performing each ECG was calculated, and the cost savings to the hospital over 4 years was determined. RESULTS: The baseline ECG rate for PAT in 2017, 2018, 2019, and 2020 at Temple University Hospital was 54.0 , 20.7, 22.3, and 21.9 %, respectively, which was a statistically significant decrease in ECG performance rate in the years after implementation of the PDSA project. The ASA status average remained constant, demonstrating that while patients' medical diagnoses remained on average the same, reinforced training had been effective in preventing a return to previous liberal ordering tendencies. Over the course of 4 years, the reduction in unnecessary ECGs led to an estimated direct cost savings of $213,000. CONCLUSIONS: Self-adoption of best-practice guidelines among clinicians is often poor; however, the barriers to adoption can be overcome with education and individual feedback. Sustaining performance improvement gains is challenging, but possible, as shown by example in one urban, academic teaching hospital's physician-led, NP-staffed outpatient clinic.
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Ahmad et al. (2023) conducted an observational in Preoperative ECG testing. New guidelines for ordering preoperative ECGs and PDSA cycles vs. Baseline practice in 2017 was evaluated on Rate of preoperative ECGs performed. Implementation of new guidelines and PDSA cycles significantly reduced the preoperative ECG rate from 54.0% to 20.7-21.9% over 3 years, yielding $213,000 in cost savings.
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