Literature DB >> 23698182

An empirical derivation of the optimal time interval for defining ICU readmissions.

Sydney E S Brown1, Sarah J Ratcliffe, Scott D Halpern.   

Abstract

BACKGROUND: Intensive care unit (ICU) readmission rates are commonly viewed as indicators of ICU quality. However, definitions of ICU readmissions vary, and it is unknown which, if any, readmissions are associated with ICU quality.
OBJECTIVE: Empirically derive the optimal interval between ICU discharge and readmission for purposes of considering ICU readmission as an ICU quality indicator. RESEARCH
DESIGN: Retrospective cohort study.
SUBJECTS: A total of 214,692 patients discharged from 157 US ICUs participating in the Project IMPACT database, 2001-2008. MEASURES: We graphically examined how patient characteristics and ICU discharge circumstances (eg, ICU census) were related to the odds of ICU readmissions as the allowable interval between ICU discharge and readmission was lengthened. We defined the optimal interval by identifying inflection points where these relationships changed significantly and permanently.
RESULTS: A total of 2242 patients (1.0%) were readmitted to the ICU within 24 hours; 9062 (4.2%) within 7 days. Patient characteristics exhibited stronger associations with readmissions after intervals >48-60 hours. By contrast, ICU discharge circumstances and ICU interventions (eg, mechanical ventilation) exhibited weaker relationships as intervals lengthened, with inflection points at 30-48 hours. Because of the predominance of afternoon readmissions regardless of time of discharge, using intervals defined by full calendar days rather than fixed numbers of hours produced more valid results. DISCUSSION: It remains uncertain whether ICU readmission is a valid quality indicator. However, having established 2 full calendar days (not 48 h) after ICU discharge as the optimal interval for measuring ICU readmissions, this study will facilitate future research designed to determine its validity.

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Year:  2013        PMID: 23698182      PMCID: PMC3714373          DOI: 10.1097/MLR.0b013e318293c2fa

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  46 in total

1.  Are readmissions to the intensive care unit a useful measure of hospital performance?

Authors:  G S Cooper; C A Sirio; A J Rotondi; L B Shepardson; G E Rosenthal
Journal:  Med Care       Date:  1999-04       Impact factor: 2.983

2.  Discharge decision-making in a medical ICU: characteristics of unexpected readmissions.

Authors:  C Franklin; D Jackson
Journal:  Crit Care Med       Date:  1983-02       Impact factor: 7.598

3.  Quality of health care. Part 2: measuring quality of care.

Authors:  R H Brook; E A McGlynn; P D Cleary
Journal:  N Engl J Med       Date:  1996-09-26       Impact factor: 91.245

4.  Impact of patient volume on the mortality rate of adult intensive care unit patients.

Authors:  Laurent G Glance; Yue Li; Turner M Osler; Andrew Dick; Dana B Mukamel
Journal:  Crit Care Med       Date:  2006-07       Impact factor: 7.598

5.  Evaluating the performance of an institution using an intensive care unit benchmark.

Authors:  Bekele Afessa; Mark T Keegan; Rolf D Hubmayr; James M Naessens; Ognjen Gajic; Kirsten Hall Long; Steve G Peters
Journal:  Mayo Clin Proc       Date:  2005-02       Impact factor: 7.616

6.  Readmission of patients to the surgical intensive care unit: patient profiles and possibilities for prevention.

Authors:  N Snow; K T Bergin; T P Horrigan
Journal:  Crit Care Med       Date:  1985-11       Impact factor: 7.598

7.  Patients readmitted to the intensive care unit during the same hospitalization: clinical features and outcomes.

Authors:  L M Chen; C M Martin; S P Keenan; W J Sibbald
Journal:  Crit Care Med       Date:  1998-11       Impact factor: 7.598

8.  Patient readmission to critical care units during the same hospitalization at a community teaching hospital.

Authors:  W Baigelman; R Katz; G Geary
Journal:  Intensive Care Med       Date:  1983       Impact factor: 17.440

9.  Morbid obesity is an independent determinant of death among surgical critically ill patients.

Authors:  Stanley A Nasraway; Matthew Albert; Anne M Donnelly; Robin Ruthazer; Scott A Shikora; Edward Saltzman
Journal:  Crit Care Med       Date:  2006-04       Impact factor: 7.598

10.  The use of benchmarking to identify top performing critical care units: a preliminary assessment of their policies and practices.

Authors:  Jack E Zimmerman; Carlos Alzola; Kathryn T Von Rueden
Journal:  J Crit Care       Date:  2003-06       Impact factor: 3.425

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  12 in total

1.  Assessing the utility of ICU readmissions as a quality metric: an analysis of changes mediated by residency work-hour reforms.

Authors:  Sydney E S Brown; Sarah J Ratcliffe; Scott D Halpern
Journal:  Chest       Date:  2015-03       Impact factor: 9.410

2.  Rethinking Thirty-Day Hospital Readmissions: Shorter Intervals Might Be Better Indicators Of Quality Of Care.

Authors:  David L Chin; Heejung Bang; Raj N Manickam; Patrick S Romano
Journal:  Health Aff (Millwood)       Date:  2016-10-01       Impact factor: 6.301

3.  Preventing Early Bouncebacks to the Neurointensive Care Unit: A Retrospective Analysis and Quality Improvement Pilot.

Authors:  David G Coughlin; Monisha A Kumar; Neha N Patel; Rebecca L Hoffman; Scott E Kasner
Journal:  Neurocrit Care       Date:  2018-04       Impact factor: 3.210

4.  An empirical comparison of key statistical attributes among potential ICU quality indicators.

Authors:  Sydney E S Brown; Sarah J Ratcliffe; Scott D Halpern
Journal:  Crit Care Med       Date:  2014-08       Impact factor: 7.598

5.  Measuring and Analyzing Length of Stay in Critical Care Trials.

Authors:  Michael O Harhay; Sarah J Ratcliffe; Dylan S Small; Leah H Suttner; Michael J Crowther; Scott D Halpern
Journal:  Med Care       Date:  2019-09       Impact factor: 2.983

6.  Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK.

Authors:  Christopher J McWilliams; Daniel J Lawson; Raul Santos-Rodriguez; Iain D Gilchrist; Alan Champneys; Timothy H Gould; Mathew Jc Thomas; Christopher P Bourdeaux
Journal:  BMJ Open       Date:  2019-03-07       Impact factor: 2.692

7.  Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach.

Authors:  Thomas Desautels; Ritankar Das; Jacob Calvert; Monica Trivedi; Charlotte Summers; David J Wales; Ari Ercole
Journal:  BMJ Open       Date:  2017-09-15       Impact factor: 2.692

Review 8.  Indicators of intensive care unit capacity strain: a systematic review.

Authors:  Oleksa G Rewa; Henry T Stelfox; Armann Ingolfsson; David A Zygun; Robin Featherstone; Dawn Opgenorth; Sean M Bagshaw
Journal:  Crit Care       Date:  2018-03-27       Impact factor: 9.097

9.  The Impact of Step-Down Unit Care on Patient Outcomes After ICU Discharge.

Authors:  Suparerk Lekwijit; Carri W Chan; Linda V Green; Vincent X Liu; Gabriel J Escobar
Journal:  Crit Care Explor       Date:  2020-05-06

10.  A scoping review of registry captured indicators for evaluating quality of critical care in ICU.

Authors:  Issrah Jawad; Sumayyah Rashan; Chathurani Sigera; Jorge Salluh; Arjen M Dondorp; Rashan Haniffa; Abi Beane
Journal:  J Intensive Care       Date:  2021-08-05
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