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Reporting of Sepsis Cases for Performance Measurement Versus for Reimbursement in New York State

Overview
Journal Crit Care Med
Date 2018 Feb 7
PMID 29406420
Citations 17
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Abstract

Objectives: Under "Rory's Regulations," New York State Article 28 acute care hospitals were mandated to implement sepsis protocols and report patient-level data. This study sought to determine how well cases reported under state mandate align with discharge records in a statewide administrative database.

Design: Observational cohort study.

Setting: First 27 months of mandated sepsis reporting (April 1, 2014, to June 30, 2016).

Patients: Hospitalizations with sepsis at New York State Article 28 acute care hospitals.

Intervention: Sepsis regulations with mandated reporting.

Measurements And Main Results: We compared cases reported to the New York State Department of Health Sepsis Clinical Database with discharge records in the Statewide Planning and Research Cooperative System database. We classified discharges as 1) "coded sepsis discharges"-a diagnosis code for severe sepsis or septic shock and 2) "possible sepsis discharges," using Dombrovskiy and Angus criteria. Of 111,816 sepsis cases reported to the New York State Department of Health Sepsis Clinical Database, 105,722 (94.5%) were matched to discharge records in Statewide Planning and Research Cooperative System. The percentage of coded sepsis discharges reported increased from 67.5% in the first quarter to 81.3% in the final quarter of the study period (mean, 77.7%). Accounting for unmatched cases, as many as 82.7% of coded sepsis discharges were potentially reported, whereas at least 17.3% were unreported. Compared with unreported discharges, reported discharges had higher rates of acute organ dysfunction (e.g., cardiovascular dysfunction 63.0% vs 51.8%; p < 0.001) and higher in-hospital mortality (30.2% vs 26.1%; p < 0.001). Hospital characteristics (e.g., number of beds, teaching status, volume of sepsis cases) were similar between hospitals with a higher versus lower percent of discharges reported, p values greater than 0.05 for all. Hospitals' percent of discharges reported was not correlated with risk-adjusted mortality of their submitted cases (Pearson correlation coefficient 0.11; p = 0.17).

Conclusions: Approximately four of five discharges with a diagnosis code of severe sepsis or septic shock in the Statewide Planning and Research Cooperative System data were reported in the New York State Department of Health Sepsis Clinical Database. Incomplete reporting appears to be driven more by underrecognition than attempts to game the system, with minimal bias to risk-adjusted hospital performance measurement.

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References
1.
Iwashyna T, Odden A, Rohde J, Bonham C, Kuhn L, Malani P . Identifying patients with severe sepsis using administrative claims: patient-level validation of the angus implementation of the international consensus conference definition of severe sepsis. Med Care. 2012; 52(6):e39-43. PMC: 3568444. DOI: 10.1097/MLR.0b013e318268ac86. View

2.
Rhee C, Kadri S, Danner R, Suffredini A, Massaro A, Kitch B . Diagnosing sepsis is subjective and highly variable: a survey of intensivists using case vignettes. Crit Care. 2016; 20:89. PMC: 4822273. DOI: 10.1186/s13054-016-1266-9. View

3.
Liu V, Morehouse J, Marelich G, Soule J, Russell T, Skeath M . Multicenter Implementation of a Treatment Bundle for Patients with Sepsis and Intermediate Lactate Values. Am J Respir Crit Care Med. 2015; 193(11):1264-70. PMC: 4910898. DOI: 10.1164/rccm.201507-1489OC. View

4.
Levy M, Fink M, Marshall J, Abraham E, Angus D, Cook D . 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Crit Care Med. 2003; 31(4):1250-6. DOI: 10.1097/01.CCM.0000050454.01978.3B. View

5.
Seymour C, Kahn J, Cooke C, Watkins T, Heckbert S, Rea T . Prediction of critical illness during out-of-hospital emergency care. JAMA. 2010; 304(7):747-54. PMC: 3949007. DOI: 10.1001/jama.2010.1140. View