Geospatial Inefficiencies Associated With Digital Replantations at High-Volume Centers and Optimal Allocation Model for Centralization of Replantations

Abstract

Purpose: Digit replantation can improve dexterity, functionality, patient satisfaction, and pain following amputation, but rates continue to fall nationally. This study aimed to describe the effects of travel time and distance as barriers to high-volume hospitals, identify geospatial inefficiencies in the presentation of patients to replantation care, and provide an optimal allocation model in which cases are redistributed to select centers to reduce geospatial redundancies and optimize outcomes.

Methods: We reviewed the California Office of Statewide Health Planning and Development hospital discharge database to identify cases of digital amputation and determine outcomes of replantation. Using residential zip codes, risk- and reliability-adjusted multivariable logistic regression was used to assess the relationship of hospital volume and travel time on replantation success. Geospatial analysis assessed the travel burden of patients as they presented for care, and optimal allocation modeling was used to create a model of centralization.

Results: We identified 5,503 patients during the study period; 1,060 underwent replantation with an overall success rate of 70.2%. Ninety-three hospitals were found to perform replantations, of which only 4 were identified as high-volume hospitals. Patients routinely traveled farther to reach high-volume hospitals, and decreasing the travel time predicted a 15% increase in odds of replantation at a low-volume center. Twenty-one percent of patients presented to a low-volume hospital when a high-volume hospital was closer, and differencein payer type and race/ethnicity existed between those who presented to the closest center compared to those who bypassed high-volume centers. The optimal allocation modeling allocated all cases into 8 centers, which increased the median annual volume from 1 case to 9.6 cases and decreased patient travel time.

Conclusions: Travel burden and geospatial inefficiencies serve as barriers to high-quality and high-volume replantation services. Optimized allocation of digital replantation cases into high-quality centers can decrease travel times, increase annual volumes, and potentially improve replantation outcomes.

Type of study/level of evidence: Economic/Decision Analysis III.

Keywords: Centralization; finger replantation; optimal allocation model; replantation.