Literature DB >> 27854510

Variation in Postsepsis Readmission Patterns: A Cohort Study of Veterans Affairs Beneficiaries.

Hallie C Prescott1,2.   

Abstract

RATIONALE: Rehospitalization is common after sepsis, but little is known about the variation in readmission patterns across patient groups and care locations.
OBJECTIVES: To examine the variation in postsepsis readmission rates and diagnoses by patient age, nursing facility use, admission year, and hospital among U.S. Veterans Affairs (VA) beneficiaries.
METHODS: Observational cohort study of VA beneficiaries who survived a sepsis hospitalization (2009-2011) at 114 VA hospitals, stratified by age (<65 vs. ≥65 yr), nursing home usage (none, chronic, or acute), year of admission (2009, 2010, 2011), and hospital. In the primary analysis, sepsis hospitalizations were identified using a previously validated method. Sensitivity analyses were performed using alternative definitions with explicit International Classification of Diseases, Ninth Revision, Clinical Modification, codes for sepsis, and separately for severe sepsis and septic shock.
MEASUREMENTS AND MAIN RESULTS: The primary outcomes were rate of 90-day all-cause hospital readmission after sepsis hospitalization and proportion of readmissions resulting from specific diagnoses, including the proportion of "potentially preventable" readmissions. Readmission diagnoses were similar from 2009 to 2011, with little variation in readmission rates across hospitals. The top six readmission diagnoses (heart failure, pneumonia, sepsis, urinary tract infection, acute renal failure, and chronic obstructive pulmonary disease) accounted for 30% of all readmissions. Although about one in five readmissions had a principal diagnosis for infection, 58% of all readmissions received early systemic antibiotics. Infection accounted for a greater proportion of readmissions among patients discharged to nursing facilities compared with patients discharged to home (25.0-27.1% vs. 16.8%) and among older vs. younger patients (22.2% vs. 15.8%). Potentially preventable readmissions accounted for a quarter of readmissions overall and were more common among older patients and patients discharged to nursing facilities.
CONCLUSIONS: Hospital readmission rates after sepsis were similar by site and admission year. Heart failure, pneumonia, sepsis, and urinary tract infection were common readmission diagnoses across all patient groups. Readmission for infection and potentially preventable diagnoses were more common in older patients and patients discharged to nursing facilities.

Entities:  

Keywords:  hospitalization; patient outcomes assessment; patient readmission; sepsis; skilled nursing facility

Mesh:

Year:  2017        PMID: 27854510      PMCID: PMC5427729          DOI: 10.1513/AnnalsATS.201605-398OC

Source DB:  PubMed          Journal:  Ann Am Thorac Soc        ISSN: 2325-6621


  29 in total

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Authors:  Yujing Shen; Ann Hendricks; Shuo Zhang; Lewis E Kazis
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2.  Rehospitalizations among patients in the Medicare fee-for-service program.

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3.  Automated intensive care unit risk adjustment: results from a National Veterans Affairs study.

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4.  Veterans Affairs intensive care unit risk adjustment model: validation, updating, recalibration.

Authors:  Marta L Render; James Deddens; Ron Freyberg; Peter Almenoff; Alfred F Connors; Douglas Wagner; Timothy P Hofer
Journal:  Crit Care Med       Date:  2008-04       Impact factor: 7.598

5.  Post-Acute Care Use and Hospital Readmission after Sepsis.

Authors:  Tiffanie K Jones; Barry D Fuchs; Dylan S Small; Scott D Halpern; Asaf Hanish; Craig A Umscheid; Charles A Baillie; Meeta Prasad Kerlin; David F Gaieski; Mark E Mikkelsen
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7.  The unreliability of individual physician "report cards" for assessing the costs and quality of care of a chronic disease.

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8.  Unplanned Readmissions After Hospitalization for Severe Sepsis at Academic Medical Center-Affiliated Hospitals.

Authors:  John P Donnelly; Samuel F Hohmann; Henry E Wang
Journal:  Crit Care Med       Date:  2015-09       Impact factor: 7.598

9.  A targeted infection prevention intervention in nursing home residents with indwelling devices: a randomized clinical trial.

Authors:  Lona Mody; Sarah L Krein; Sanjay Saint; Lillian C Min; Ana Montoya; Bonnie Lansing; Sara E McNamara; Kathleen Symons; Jay Fisch; Evonne Koo; Ruth Anne Rye; Andrzej Galecki; Mohammed U Kabeto; James T Fitzgerald; Russell N Olmsted; Carol A Kauffman; Suzanne F Bradley
Journal:  JAMA Intern Med       Date:  2015-05       Impact factor: 21.873

10.  Identifying patients with severe sepsis using administrative claims: patient-level validation of the angus implementation of the international consensus conference definition of severe sepsis.

Authors:  Theodore J Iwashyna; Andrew Odden; Jeffrey Rohde; Catherine Bonham; Latoya Kuhn; Preeti Malani; Lena Chen; Scott Flanders
Journal:  Med Care       Date:  2014-06       Impact factor: 2.983

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  19 in total

1.  Paths into Sepsis: Trajectories of Presepsis Healthcare Use.

Authors:  Hallie C Prescott; Alicia G Carmichael; Kenneth M Langa; Richard Gonzalez; Theodore J Iwashyna
Journal:  Ann Am Thorac Soc       Date:  2019-01

2.  Readmissions Among Sepsis Survivors: Risk Factors and Prevention.

Authors:  Andrew J Goodwin; Dee W Ford
Journal:  Clin Pulm Med       Date:  2018-05

Review 3.  Improving Long-Term Outcomes After Sepsis.

Authors:  Hallie C Prescott; Deena Kelly Costa
Journal:  Crit Care Clin       Date:  2017-10-05       Impact factor: 3.598

4.  Impact of Baseline Characteristics on Future Episodes of Bloodstream Infections: Multistate Model in Septic Patients With Bloodstream Infections.

Authors:  M Cristina Vazquez Guillamet; Rodrigo Vazquez; Jonas Noe; Scott T Micek; Victoria J Fraser; Marin H Kollef
Journal:  Clin Infect Dis       Date:  2020-12-15       Impact factor: 9.079

5.  Increased healthcare facility use in veterans surviving sepsis hospitalization.

Authors:  Kimberley M DeMerle; Brenda M Vincent; Theodore J Iwashyna; Hallie C Prescott
Journal:  J Crit Care       Date:  2017-07-03       Impact factor: 3.425

6.  Hospital-specific Template Matching for Benchmarking Performance in a Diverse Multihospital System.

Authors:  Brenda M Vincent; Daniel Molling; Gabriel J Escobar; Timothy P Hofer; Theodore J Iwashyna; Vincent X Liu; Amy K Rosen; Andrew M Ryan; Sarah Seelye; Wyndy L Wiitala; Hallie C Prescott
Journal:  Med Care       Date:  2021-12-01       Impact factor: 2.983

7.  Association between sepsis survivorship and long-term cardiovascular outcomes in adults: a systematic review and meta-analysis.

Authors:  Leah B Kosyakovsky; Federico Angriman; Emma Katz; Neill K Adhikari; Lucas C Godoy; John C Marshall; Bruno L Ferreyro; Douglas S Lee; Robert S Rosenson; Naveed Sattar; Subodh Verma; Augustin Toma; Marina Englesakis; Barry Burstein; Michael E Farkouh; Margaret Herridge; Dennis T Ko; Damon C Scales; Michael E Detsky; Lior Bibas; Patrick R Lawler
Journal:  Intensive Care Med       Date:  2021-08-09       Impact factor: 17.440

8.  Temporal Trends in Incidence, Sepsis-Related Mortality, and Hospital-Based Acute Care After Sepsis.

Authors:  Nathaniel Meyer; Michael O Harhay; Dylan S Small; Hallie C Prescott; Kathryn H Bowles; David F Gaieski; Mark E Mikkelsen
Journal:  Crit Care Med       Date:  2018-03       Impact factor: 7.598

9.  Sepsis-Associated 30-Day Risk-Standardized Readmissions: Analysis of a Nationwide Medicare Sample.

Authors:  Brett C Norman; Colin R Cooke; E Wes Ely; John A Graves
Journal:  Crit Care Med       Date:  2017-07       Impact factor: 7.598

10.  Measurement of Sepsis in a National Cohort Using Three Different Methods to Define Baseline Organ Function.

Authors:  Max T Wayne; Daniel Molling; Xiao Qing Wang; Cainnear K Hogan; Sarah Seelye; Vincent X Liu; Hallie C Prescott
Journal:  Ann Am Thorac Soc       Date:  2021-04
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