Changes in coding of pneumonia and impact on the Hospital Readmission Reduction Program

Health Serv Res. 2019 Dec;54(6):1326-1334. doi: 10.1111/1475-6773.13207. Epub 2019 Oct 10.

Abstract

Objective: To evaluate whether changes in diagnosis assignment explain reductions in 30-day readmission for patients with pneumonia following the Hospital Readmission Reduction Program (HRRP).

Data sources: 100 percent MedPAR, 2008-2015.

Study design: Retrospective cohort study of Medicare discharges in HRRP-eligible hospitals. Outcomes were 30-day readmission rates for pneumonia under a "narrow" definition (used for the HRRP until October 2015; n = 2 288 644) and a "broad" definition that included certain diagnoses of sepsis and aspiration pneumonia (used since October 2015; n = 3 618 215). We estimated changes in 30-day readmissions in the pre-HRRP period (January 2008-March 2010), the HRRP implementation period (April 2010-September 2012), and the HRRP penalty period (October 2012-June 2015).

Principal findings: Under the narrow definition, adjusted annual readmission rates changed by +0.07 percentage points (pp) during the pre-HRRP period (95% CI: -0.03 pp, +0.18 pp), -1.07 pp during HRRP implementation (95% CI: -1.15 pp, -0.99 pp), and -0.09 pp during the penalty period (95% CI: -0.18 pp, -0.00 pp). Under the broad definition, 30-day readmissions changed by +0.21 pp during the pre-HRRP period (95% CI: +0.12 pp, +0.30 pp), -1.28 pp during HRRP implementation (95% CI: -1.35 pp, -1.21 pp), and -0.09 pp during the penalty period (95% CI: -0.16 pp, -0.02 pp).

Conclusions: Changes in the coding of inpatient pneumonia admissions do not explain readmission reduction following the HRRP.

Keywords: coding; pneumonia; readmission rates.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Clinical Coding / standards*
  • Cohort Studies
  • Hospitalization / statistics & numerical data*
  • Humans
  • Medicare / statistics & numerical data*
  • Patient Readmission / statistics & numerical data*
  • Pneumonia / classification*
  • Retrospective Studies
  • United States