The design and evaluation of a novel algorithm for automated preference card optimization.

BACKGROUND: Inaccurate surgical preference cards (supply lists) are associated with higher direct costs, waste, and delays. Numerous preference card improvement projects have relied on institution-specific, manual approaches of limited reproducibility. We developed and tested an algorithm to facilitate the first automated, informatics-based, fully reproducible approach. METHODS: The algorithm cross-references the supplies used in each procedure and listed on each preference card and uses a time-series regression to estimate the likelihood that each quantity listed on the preference card is inaccurate. Algorithm performance was evaluated by measuring changes in direct costs between preference cards revised with the algorithm and preference cards that were not revised or revised without use of the algorithm. Results were evaluated with a difference-in-differences (DID) multivariate fixed-effects model of costs during an 8-month pre-intervention and a 15-month post-intervention period. RESULTS: The accuracies of the quantities of 469 155 surgeon-procedure-specific items were estimated. Nurses used these estimates to revise 309 preference cards across eight surgical services corresponding to, respectively, 1777 and 3106 procedures in the pre- and post-intervention periods. The average direct cost of supplies per case decreased by 8.38% ($352, SD $6622) for the intervention group and increased by 13.21% ($405, SD $14 706) for the control group (P < .001). The DID analysis showed significant cost reductions only in the intervention group during the intervention period (P < .001). CONCLUSION: The optimization of preference cards with a variety of institution-specific, manually intensive approaches has led to cost savings. The automated algorithm presented here produced similar results that may be more readily reproducible.

Correlates of myalgia in electroconvulsive therapy.

Myalgias are common in patients treated with electroconvulsive therapy (ECT). The mechanism of this side effect is unknown. Two commonly postulated etiologies are the motor activity during the convulsion and the fasciculations induced by succinylcholine. If the former phenomenon accounts for most of themyalgias, then the appropriate strategy will be to increase the succinylcholine dose at subsequent treatments. If, on the other hand, the latter phenomenon is more important in inducing myalgias, then the appropriate strategy may be to decrease succinylcholine dosages (on the theory that lower doses result in less fasciculating). On the other hand, if neither of these factors accounts for myalgias, then succinylcholine dose adjustments may be irrelevant to myalgias in the ECT situation. In this study, we assessed the degree of convulsive movements during the seizure as well as strength of fasciculations caused by succinylcholine to see which, if either, correlates with ultimate complaints of myalgias. The results indicated that neither of these factors, nor dose of succinylcholine, correlated with myalgias. We conclude that dose adjustments to succinylcholine are unlikely to affect complaints of myalgias in ECT patients.