Background: Although technical advances help achieve haemodialysis adequacy, we hypothesise remediable non-therapy factors exacerbate patient dissatisfaction, non-adherence to treatment time and failure to meet dialysis goals. Scheduling inefficiencies lead to the total time in the unit far greater than actual treatment time, impacting facility efficiency and patient frustration.
Objectives: We used queuing theorem principles to optimise schedules by incorporating timing and workflow for every dialysis process step to design a new schedule, rather than the whole-shift blocks at baseline.
Design: The goals were to: (1) craft schedules that maximised efficiency and economics from a facility perspective, and (2) minimise total time in the dialysis unit from a patient viewpoint. As dialysis units are held to a national standard of urea clearance, reduction ratios (URRs) were measured for the 3 months before and after the new scheduling was implemented.
Results: Dialysis staff and process parameters were measured to craft queued schedules of staggered small groups of patients instead of baseline blocks of 2 large shifts, 24 each. A total of 65 patients changed to groups of 8, with entry-to-exit at 290 minutes for four hours treatments. The URRs improved from 72.8 ± 6.9 to 75.2 ± 5.4% (p < 0.001). Before implementation, only 89% of subjects reached the URR facility compliance target of 65%, and afterwards 97% (p < 0.001).
Conclusion: Queuing theorem principles can be successfully adopted to optimise haemodialysis scheduling. The resultant staggered timing increases facility efficiency, minimises the long wait time dissatisfier, and is associated with improved URRs with more patients reaching target clearance thresholds.
Keywords: Dialysis adequacy; Implementation science; Operations management; Patient satisfaction; Queuing theorem.
© 2019 European Dialysis and Transplant Nurses Association/European Renal Care Association.