2019
DOI: 10.1111/1475-6773.13207
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Changes in coding of pneumonia and impact on the Hospital Readmission Reduction Program

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 diagno… Show more

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Cited by 5 publications
(6 citation statements)
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References 14 publications
(30 reference statements)
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“…As the first large study to explore health-related outcomes of LD patients beyond 2 years, this work offers insights into the longer-term health outcomes potentially associated with LD. The 30-day all-cause readmission rate of 16.2% is similar to published 30-day readmission rates for pneumonia [ 19 ]. This substantiates that outcomes from this study may be comparable to outcomes for patients in other healthcare systems.…”
Section: Discussionsupporting
confidence: 80%
See 1 more Smart Citation
“…As the first large study to explore health-related outcomes of LD patients beyond 2 years, this work offers insights into the longer-term health outcomes potentially associated with LD. The 30-day all-cause readmission rate of 16.2% is similar to published 30-day readmission rates for pneumonia [ 19 ]. This substantiates that outcomes from this study may be comparable to outcomes for patients in other healthcare systems.…”
Section: Discussionsupporting
confidence: 80%
“…30-day all-cause readmission rate of 16.2% is similar to published 30-day readmission rates for pneumonia [19]. This substantiates that outcomes from this study may be comparable to outcomes for patients in other healthcare systems.…”
Section: Plos Onesupporting
confidence: 85%
“…Some literature raised concerns that coding practices have changed (i.e., sepsis or respiratory failure is reported in the principal position rather than pneumonia) to avoid penalties from the Centers for Medicare and Medicaid Services through the Hospital Readmission Reduction Program [ 15 ] and/or due to higher payments for sepsis-related diagnoses [ 54 58 ]. However, other studies have not shown changes in coding to be a clear driver of reduced hospital readmissions for pneumonia [ 59 ]. Additional potential explanations for the increasing trend in sepsis-related hospitalizations include the rapid expansion of the Medicare population as the U.S. population ages or increased awareness, changes in screening, and decreased diagnostic thresholds for sepsis [ 4 , 53 ].…”
Section: Discussionmentioning
confidence: 99%
“…related diagnoses [54][55][56][57][58]. However, other studies have not shown changes in coding to be a clear driver of reduced hospital readmissions for pneumonia [59]. Additional potential explanations for the increasing trend in sepsis-related hospitalizations include the rapid expansion of the Medicare population as the U.S. population ages or increased awareness, changes in screening, and decreased diagnostic thresholds for sepsis [4,53].…”
Section: Plos Onementioning
confidence: 99%
“…For chains and lone-standing hospitals, 70% (226) share an HRR. These numbers are lower estimates of the mixing within HRR as they exclude hospitals that changed their status in the observation period.16 This is the noisiest of our measures as it is a relatively low probability event compared to the other measures we use here.17 Note that in our setting and time period,Buxbaum et al (2019) find "changes in the coding of inpatient pneumonia admissions do not explain readmission reduction following the HRRP"; they also compare explicitly for-profit and other hospitals and find no differential coding behavior between the two types of hospitals.18 Consequently, the significant gap in readmissions translates into penalties, which suggests that there is little bunching at the penalty cutoff. This is perhaps a result of the peer bench-marking embedded in the ERR and penalty status, which is unobserved by the individual hospital(Gupta, 2017;Zhang et al, 2016).19 TableC2presents the covariates in the regressions.20 That is, the quality difference at the average market concentration (HHI = 0.233) versus a fully competitive market (HHI = 0) relative to the raw mean quality difference (7 p.p.…”
mentioning
confidence: 96%