Reducing infusion center wait times in a resource-limited setting

JOURNAL OF CLINICAL ONCOLOGY(2023)

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摘要
6567 Background: Time toxicity is increasingly recognized as an important factor in quality of life in cancer patients, and this effect may be amplified in under-resourced oncology settings. In the safety-net oncology center at Parkland Health (PH), wait time from infusion appointment check-in to treatment start was 147 minutes in June 2022, which led to significant patient frustration, delays in care, and staff dissatisfaction. We aimed to decrease wait time by 20% by December 2022. Methods: Baseline wait time data for patients getting infusions in the oncology infusion center was collected daily from the electronic medical record (EMR) time stamps of check in and infusion start (first IV medication given), and the average time was calculated. A value stream map detailing the steps required to start infusion with time stamps was produced. Stakeholders were queried to identify causes of delay, an Ishikawa diagram was constructed, and a priority matrix was developed to determine the most impactful interventions. The first PDSA cycle (July-Oct 2023) intervention consisted of working group formation and implementation of separate infusion pathway for patients getting injections (“fast track”). The second PDSA cycle (Nov-Dec 2023) intervention was rescheduling infusion-only patients to the least congested times of the day to relieve the bottleneck that occurred in the late mornings for patients with labs or provider visit prior to infusion. Patients and infusion center providers were surveyed about their perception of wait times. Results: Average wait times decreased from 147 minutes to 131 minutes during first PDSA cycle, a 10.8% improvement from baseline. From Nov-Dec 2023 during second PDSA cycle, wait time improved to 127 minutes, a 15.7% improvement from baseline. The average daily number of infusions and injections increased from 106/day baseline to 115/day by Dec 2023; an increase of 8.5%. Qualitative surveys of patients and infusion providers endorsed increased satisfaction with infusion process. Conclusions: Using established quality improvement methods, we improved average wait times for Parkland Health oncology infusion patients by 15.7% over a 6 month period. While we did not meet our goal, we increased daily capacity to treat patients by 8.5% while improving overall infusion wait time. We also improved perceptions of quality of care.
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infusion center,resource-limited
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