Literature DB >> 25822402

Variability Among US Intensive Care Units in Managing the Care of Patients Admitted With Preexisting Limits on Life-Sustaining Therapies.

Joanna L Hart1, Michael O Harhay2, Nicole B Gabler3, Sarah J Ratcliffe4, Caroline M Quill5, Scott D Halpern1.   

Abstract

IMPORTANCE: Although the end-of-life care patients receive is known to vary across nations, regions, and centers, these differences are best explored within a group of patients with presumably similar care preferences.
OBJECTIVE: To examine the proportions of patients admitted to the intensive care unit (ICU) with limitations on life-sustaining treatments and the proportions of such patients who receive aggressive care across individual ICUs. DESIGN, SETTINGS, AND PARTICIPANTS: Retrospective cohort study using the Project IMPACT database (from April 1, 2001, to December 31, 2008) including 141 ICUs in 105 hospitals in the United States and 277,693 ICU patient visits. We used logistic regression analysis models adjusted for available patient characteristics and clustered visits by individual ICU. The full analysis was last performed in October 2014. MAIN OUTCOMES AND MEASURES: Outcomes included the provision of (1) cardiopulmonary resuscitation, (2) new forms of life support, and the (3) addition or (4) reversal of treatment limitations.
RESULTS: Of the ICU admissions evaluated, 4.8% (95% CI, 4.7%-4.9%) had previously established treatment limitations. Patients admitted with treatment limitations were more likely to be older with more functional limitations and comorbidities. Among patients who survived to hospital discharge, more experienced reversals of existing treatment limitations during the ICU stay (17.8% [95% CI, 17.0%-18.7%]) than additions of new limits (11.7% [95% CI, 11.1%-12.4%]) (P < .01). Among patients who died, 15.7% (95% CI, 14.7-16.8%) had received cardiopulmonary resuscitation. After risk adjustment, ICUs varied widely in the proportions of patients admitted with treatment limitations (median, 4.0%; range, <1.0%-20.9%), the proportions of those who received cardiopulmonary resuscitation (37.7% [95% CI, 3.8%-92.4%]), the proportions of new forms of life support (30.0% [95% CI, 6.0%-84.2%]), and, among survivors, the proportion who had new treatment limitations established (11.2% [95% CI, 1.9%-57.3%]) and reversal of treatment limitations during or following ICU admission (20.2% [95% CI, 1.8%-76.2%]). The observed variability could not be consistently explained using measurable center-level characteristics. CONCLUSIONS AND RELEVANCE: Intensive care units vary dramatically in how they manage care for patients admitted with treatment limitations. Among patients who survive, escalations in the aggressiveness of care are more common during the ICU stay than are de-escalations in aggressiveness. This study cannot directly measure whether care received was consistent with patients' preferences but suggests that ICU culture and physicians' practice styles contribute to the aggressiveness of care.

Entities:  

Mesh:

Year:  2015        PMID: 25822402      PMCID: PMC4451380          DOI: 10.1001/jamainternmed.2015.0372

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN: 2168-6106            Impact factor:   21.873


  20 in total

1.  Are regional variations in end-of-life care intensity explained by patient preferences?: A Study of the US Medicare Population.

Authors:  Amber E Barnato; M Brooke Herndon; Denise L Anthony; Patricia M Gallagher; Jonathan S Skinner; Julie P W Bynum; Elliott S Fisher
Journal:  Med Care       Date:  2007-05       Impact factor: 2.983

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

3.  Intensive care unit admitting patterns in the Veterans Affairs health care system.

Authors:  Lena M Chen; Marta Render; Anne Sales; Edward H Kennedy; Wyndy Wiitala; Timothy P Hofer
Journal:  Arch Intern Med       Date:  2012-09-10

4.  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

5.  The impact of do-not-resuscitate order on triage decisions to a medical intensive care unit.

Authors:  Rubin I Cohen; Gita N Lisker; Ann Eichorn; Alan S Multz; Alan Silver
Journal:  J Crit Care       Date:  2008-04-18       Impact factor: 3.425

6.  Organizational determinants of hospital end-of-life treatment intensity.

Authors:  Caroline Y Lin; Max H Farrell; Judith R Lave; Derek C Angus; Amber E Barnato
Journal:  Med Care       Date:  2009-05       Impact factor: 2.983

7.  Use of hospitals, physician visits, and hospice care during last six months of life among cohorts loyal to highly respected hospitals in the United States.

Authors:  John E Wennberg; Elliott S Fisher; Thérèse A Stukel; Jonathan S Skinner; Sandra M Sharp; Kristen K Bronner
Journal:  BMJ       Date:  2004-03-13

8.  Treatment limitations at admission to intensive care units in Australia and New Zealand: prevalence, outcomes, and resource use*.

Authors:  George Godfrey; David Pilcher; Andrew Hilton; Michael Bailey; Carol L Hodgson; Rinaldo Bellomo
Journal:  Crit Care Med       Date:  2012-07       Impact factor: 7.598

9.  Relationship between staff perceptions of hospital norms and hospital-level end-of-life treatment intensity.

Authors:  Amber E Barnato; James E Bost; Maxwell H Farrell; Judith R Lave; Robert M Arnold; Doris M Rubio; Derek C Angus
Journal:  J Palliat Med       Date:  2007-10       Impact factor: 2.947

10.  End-of-Life Practices in the Intensive Care Unit: The Importance of Geography, Religion, Religious Affiliation, and Culture.

Authors:  Marc Romain; Charles L Sprung
Journal:  Rambam Maimonides Med J       Date:  2014-01-21
View more
  44 in total

1.  Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay.

Authors:  Gary E Weissman; Rebecca A Hubbard; Lyle H Ungar; Michael O Harhay; Casey S Greene; Blanca E Himes; Scott D Halpern
Journal:  Crit Care Med       Date:  2018-07       Impact factor: 7.598

2.  Association of Do-Not-Resuscitate Orders and Hospital Mortality Rate Among Patients With Pneumonia.

Authors:  Allan J Walkey; Janice Weinberg; Renda Soylemez Wiener; Colin R Cooke; Peter K Lindenauer
Journal:  JAMA Intern Med       Date:  2016-01       Impact factor: 21.873

3.  Variability in forgoing life-sustaining treatments: reasons and recommendations.

Authors:  Charles L Sprung; Katerina Rusinova; Otavio T Ranzani
Journal:  Intensive Care Med       Date:  2015-05-19       Impact factor: 17.440

4.  Changing Intensivists' Behaviors: A Challenge in Need of New Solutions.

Authors:  Meeta Prasad Kerlin; Scott D Halpern
Journal:  Am J Respir Crit Care Med       Date:  2017-07-01       Impact factor: 21.405

5.  The Effect of Intensive Care Unit Admission Patterns on Mortality-based Critical Care Performance Measures.

Authors:  Ian J Barbash; Tri Q Le; Francis Pike; Amber E Barnato; Derek C Angus; Jeremy M Kahn
Journal:  Ann Am Thorac Soc       Date:  2016-06

6.  Understanding variability of end-of-life care in the ICU for the elderly.

Authors:  J Randall Curtis; Ruth A Engelberg; Joan M Teno
Journal:  Intensive Care Med       Date:  2016-03-31       Impact factor: 17.440

7.  Hospital Variation in Utilization of Life-Sustaining Treatments among Patients with Do Not Resuscitate Orders.

Authors:  Allan J Walkey; Janice Weinberg; Renda Soylemez Wiener; Colin R Cooke; Peter K Lindenauer
Journal:  Health Serv Res       Date:  2017-01-18       Impact factor: 3.402

Review 8.  Aligning use of intensive care with patient values in the USA: past, present, and future.

Authors:  Alison E Turnbull; Gabriel T Bosslet; Erin K Kross
Journal:  Lancet Respir Med       Date:  2019-05-20       Impact factor: 30.700

9.  Palliative Care Planner: A Pilot Study to Evaluate Acceptability and Usability of an Electronic Health Records System-integrated, Needs-targeted App Platform.

Authors:  Christopher E Cox; Derek M Jones; Wen Reagan; Mary D Key; Vinca Chow; Jessica McFarlin; David Casarett; Claire J Creutzfeldt; Sharron L Docherty
Journal:  Ann Am Thorac Soc       Date:  2018-01

10.  Choice architecture in code status discussions with terminally ill patients and their families.

Authors:  George L Anesi; Scott D Halpern
Journal:  Intensive Care Med       Date:  2016-03-07       Impact factor: 17.440

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.