Background: There remains no tool to quantify the total value of comparative processes in health care. Hospital administrative data sets are emerging as valuable sources to evaluate performance. Thus, we use a framework to simultaneously assess multiple domains of value associated with an enhanced recovery initiative using national administrative data.

Materials And Methods: Risk-stratified clinical pathways for patients undergoing pancreatic surgery were implemented in 2016 at our institution. We used a national administrative database to characterize changes in value associated with this initiative. Value metrics assessed included in-hospital mortality, complication rates, length of stay (LOS), 30-day readmission rates, and institutional costs. We compared our performance with other hospitals both before and after implementation of the pathways. Metrics were graphed on radar charts to assess overall value.

Results: 22,660 cases were assessed. Comparing 75 cases at our institution and 5520 cases at all other hospitals before pathway implementation, mean in-hospital LOS was 9.6 versus 10.8 d, in-hospital mortality was 0.0% versus 1.9%, mean costs were $23,585 versus $21,387, 30-day readmission rates were 1.3% versus 7.4%, and complication rates were 8.0% versus 11.2%, respectively. Comparing 334 cases at our institution and 16,731 cases at all other hospitals after pathway implementation, mean in-hospital LOS was 7.7 versus 10.3 d, in-hospital mortality was 0.3% versus 1.6%, mean costs were $19,428 versus $22,032, 30-day readmission rates were 6.6% versus 7.5%, and complication rates were 6.3% versus 10.3%, respectively. Notably, LOS and institutional costs were reduced at our institution after implementation of the enhanced clinical care pathways. Our costs were higher than comparators before implementation, but lower than comparators after implementation.

Conclusions: Herein, we used an analytic framework and used national administrative data to assess the value of an enhanced care initiative as benchmarked with data from other hospitals. We thus illustrate how to identify and measure opportunities for targeted improvements in health care delivery. We also recognize the limitations of the use of administrative data in a comprehensive assessment of value in health care.

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http://dx.doi.org/10.1016/j.jss.2020.12.061DOI Listing

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