Literature DB >> 25393027

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

Sydney E S Brown1, Sarah J Ratcliffe2, Scott D Halpern3.   

Abstract

BACKGROUND: ICU readmissions are associated with increased mortality and costs; however, it is unclear whether these outcomes are caused by readmissions or by residual confounding by illness severity. An assessment of temporal changes in ICU readmission in response to a specific policy change could help disentangle these possibilities. We sought to determine whether ICU readmission rates changed after 2003 Accreditation Council for Graduate Medical Education Resident Duty Hours reform ("reform") and whether there were temporally corresponding changes in other ICU outcomes.
METHODS: We used a difference-in-differences approach using Project IMPACT (Improved Methods of Patient Information Access of Core Clinical Tasks). Piecewise regression models estimated changes in outcomes immediately before and after reform in 274,491 critically ill medical and surgical patients in 151 community and academic US ICUs. Outcome measures included ICU readmission, ICU mortality, and in-hospital post-ICU-discharge mortality.
RESULTS: In ICUs with residents, ICU readmissions increased before reform (OR, 1.5; 95% CI, 1.22-1.84; P < .01), and decreased after (OR, 0.85; 95% CI, 0.73-0.98; P = .03). This abrupt decline in ICU readmissions after reform differed significantly from an increase in readmissions observed in ICUs without residents at this time (difference-in-differences P < .01). No comparable changes in mortality were observed between ICUs with vs without residents.
CONCLUSIONS: The changes in ICU readmission rates after reform, without corresponding changes in mortality, suggest that ICU readmissions are not causally related to other untoward patient outcomes. Instead, ICU readmission rates likely reflect operational aspects of care that are not patient-centered, making them less useful indicators of ICU quality.

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Year:  2015        PMID: 25393027      PMCID: PMC4347531          DOI: 10.1378/chest.14-1060

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  48 in total

Review 1.  Qualitative review of intensive care unit quality indicators.

Authors:  Sean M Berenholtz; Todd Dorman; Koni Ngo; Peter J Pronovost
Journal:  J Crit Care       Date:  2002-03       Impact factor: 3.425

2.  Project IMPACT: results from a pilot validity study of a new observational database.

Authors:  Suzanne F Cook; Wendy A Visscher; Connie L Hobbs; Rick L Williams
Journal:  Crit Care Med       Date:  2002-12       Impact factor: 7.598

Review 3.  Adjustments for center in multicenter studies: an overview.

Authors:  A R Localio; J A Berlin; T R Ten Have; S E Kimmel
Journal:  Ann Intern Med       Date:  2001-07-17       Impact factor: 25.391

4.  Hospital mortality in relation to staff workload: a 4-year study in an adult intensive-care unit.

Authors:  W O Tarnow-Mordi; C Hau; A Warden; A J Shearer
Journal:  Lancet       Date:  2000-07-15       Impact factor: 79.321

5.  Variation in decisions to forgo life-sustaining therapies in US ICUs.

Authors:  Caroline M Quill; Sarah J Ratcliffe; Michael O Harhay; Scott D Halpern
Journal:  Chest       Date:  2014-09       Impact factor: 9.410

6.  Discharge decision-making by intensivists on readmission to the intensive care unit.

Authors:  Kyung Bong Yoon; Shin Ok Koh; Dong Woo Han; One Chul Kang
Journal:  Yonsei Med J       Date:  2004-04-30       Impact factor: 2.759

7.  Patient flow variability and unplanned readmissions to an intensive care unit.

Authors:  David R Baker; Peter J Pronovost; Laura L Morlock; Romergryko G Geocadin; Christine G Holzmueller
Journal:  Crit Care Med       Date:  2009-11       Impact factor: 7.598

8.  Can the impact of bed closure in intensive care units be reliably monitored?

Authors:  Jean-Blaise Wasserfallen; Jean-Pierre Revelly; Davide Moro; Nicolas Gilliard; Jacques Rouge; René Chioléro
Journal:  Intensive Care Med       Date:  2004-02-28       Impact factor: 17.440

9.  Do regulations limiting residents' work hours affect patient mortality?

Authors:  David L Howard; Jeffrey H Silber; David R Jobes; Jeffery H Silber
Journal:  J Gen Intern Med       Date:  2004-01       Impact factor: 5.128

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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  8 in total

1.  Preventable readmission to intensive care unit in critically ill cancer patients.

Authors:  Hai-Jun Wang; Yong Gao; Shi-Ning Qu; Chu-Lin Huang; Hao Zhang; Hao Wang; Quan-Hui Yang; Xue-Zhong Xing
Journal:  World J Emerg Med       Date:  2018

2.  The 2017 ACGME Common Work Hour Standards: Promoting Physician Learning and Professional Development in a Safe, Humane Environment.

Authors:  Kim J Burchiel; Rowen K Zetterman; Kenneth M Ludmerer; Ingrid Philibert; Timothy P Brigham; Kathy Malloy; James A Arrighi; Stanley W Ashley; Jessica L Bienstock; Peter J Carek; Ricardo Correa; David A Forstein; Robert R Gaiser; Jeffrey P Gold; George A Keepers; Benjamin C Kennedy; Lynne M Kirk; Anai Kothari; Lorrie A Langdale; Philip H Shayne; Steven C Stain; Suzanne K Woods; Claudia Wyatt-Johnson; Thomas J Nasca
Journal:  J Grad Med Educ       Date:  2017-12

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.  Development of a quality indicator set to measure and improve quality of ICU care in low- and middle-income countries.

Authors:  Vrindha Pari
Journal:  Intensive Care Med       Date:  2022-09-16       Impact factor: 41.787

5.  Who Dies after ICU Discharge? Retrospective Analysis of Prognostic Factors for In-Hospital Mortality of ICU Survivors.

Authors:  Jungsil Lee; Young Jae Cho; Se Joong Kim; Ho Il Yoon; Jong Sun Park; Choon Taek Lee; Jae Ho Lee; Yeon Joo Lee
Journal:  J Korean Med Sci       Date:  2017-03       Impact factor: 2.153

6.  Barriers and facilitators to improve safety and efficiency of the ICU discharge process: a mixed methods study.

Authors:  Nelleke van Sluisveld; Anke Oerlemans; Gert Westert; Johannes Gerardus van der Hoeven; Hub Wollersheim; Marieke Zegers
Journal:  BMC Health Serv Res       Date:  2017-04-04       Impact factor: 2.655

7.  Development and implementation of a risk identification tool to facilitate critical care transitions for high-risk surgical patients.

Authors:  Rebecca L Hoffman; Jason Saucier; Serena Dasani; Tara Collins; Daniel N Holena; Meghan Fitzpatrick; Boris Tsypenyuk; Niels D Martin
Journal:  Int J Qual Health Care       Date:  2017-06-01       Impact factor: 2.038

8.  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
  8 in total

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