Patient Outcomes and Cost-Effectiveness of a Sepsis Care Quality Improvement Program in a Health System

Abstract

Objectives: Assess patient outcomes in patients with suspected infection and the cost-effectiveness of implementing a quality improvement program.

Design, setting, and participants: We conducted an observational single-center study of 13,877 adults with suspected infection between March 1, 2014, and July 31, 2017. The 18-month period before and after the effective date for mandated reporting of the sepsis bundle was examined. The Sequential Organ Failure Assessment score and culture and antibiotic orders were used to identify patients meeting Sepsis-3 criteria from the electronic health record.

Interventions: The following interventions were performed as follows: 1) multidisciplinary sepsis committee with sepsis coordinator and data abstractor; 2) education campaign; 3) electronic health record tools; and 4) a Modified Early Warning System.

Main outcomes and measures: Primary health outcomes were in-hospital death and length of stay. The incremental cost-effectiveness ratio was calculated and the empirical 95% CI for the incremental cost-effectiveness ratio was estimated from 5,000 bootstrap samples.

Results: In multivariable analysis, the odds ratio for in-hospital death in the post- versus pre-implementation periods was 0.70 (95% CI, 0.57-0.86) in those with suspected infection, and the hazard ratio for time to discharge was 1.25 (95% CI, 1.20-1.29). Similarly, a decrease in the odds for in-hospital death and an increase in the speed to discharge was observed for the subset that met Sepsis-3 criteria. The program was cost saving in patients with suspected infection (-$272,645.7; 95% CI, -$757,970.3 to -$79,667.7). Cost savings were also observed in the Sepsis-3 group.

Conclusions and relevance: Our health system's program designed to adhere to the sepsis bundle metrics led to decreased mortality and length of stay in a cost-effective manner in a much larger catchment than just the cohort meeting the Centers for Medicare and Medicaid Services measures. Our single-center model of interventions may serve as a practice-based benchmark for hospitalized patients with suspected infection.

Figure 1.

Flow Diagram of Patients for Pre- and Post-Implementation

Figures 2 a-b.

In-hospital Death and Length of Stay between pre- and post-intervention of sepsis quality program Regression analyses controlled for intervention period, age, gender, insurance type, race, ethnicity, service category, ICU stay, month of the year, admission SOFA score, and Elixhauser mortality score

Figure 3.

The distribution of the incremental cost-effectiveness ratio around the 95% percentile CI in patients with suspected infection.