Literature DB >> 11805556

Bed rationing and allocation in the intensive care unit.

G A Skowronski1.   

Abstract

That the resources available for intensive care cannot be infinite is self-evident. Parallel increases in medical capability, cost, and community expectations have forced intensivists to confront the reality of resource limitation. Traditional bioethical structures cope poorly with this focus beyond the traditional patient-doctor relationship. Allocation of funds for intensive care may be case-based, historically based, per diem, or capitation-based but is always heavily influenced by political and economic considerations. Attempts have been made to relate costs to severity or intervention scores, but all these techniques are limited by the high fixed costs of intensive care. Methods available to help the physician faced with patient-selection dilemmas include cost-effectiveness and cost-utility analysis. These techniques involve assessment of the quality of life with the help of several well-validated quantitative approaches. Choosing between competing patients for intensive care beds is often more a theoretical issue than a practical one, because alternative arrangements can almost always be made. Physicians have an ethical and social responsibility to further develop the tools to inform community debate on these issues.

Entities:  

Mesh:

Year:  2001        PMID: 11805556     DOI: 10.1097/00075198-200112000-00020

Source DB:  PubMed          Journal:  Curr Opin Crit Care        ISSN: 1070-5295            Impact factor:   3.687


  12 in total

Review 1.  The ethics and reality of rationing in medicine.

Authors:  Leslie P Scheunemann; Douglas B White
Journal:  Chest       Date:  2011-12       Impact factor: 9.410

2.  Readmission to medical intensive care units: risk factors and prediction.

Authors:  Yong Suk Jo; Yeon Joo Lee; Jong Sun Park; Ho Il Yoon; Jae Ho Lee; Choon-Taek Lee; Young-Jae Cho
Journal:  Yonsei Med J       Date:  2015-03       Impact factor: 2.759

3.  Assessment of ICU readmission risk with the Stability and Workload Index for Transfer score.

Authors:  Daiane Ferreira Oakes; Ingrid Nemitz Krás Borges; Luiz Alberto Forgiarini Junior; Marcelo de Mello Rieder
Journal:  J Bras Pneumol       Date:  2014 Jan-Feb       Impact factor: 2.624

4.  Readmissions and death after ICU discharge: development and validation of two predictive models.

Authors:  Omar Badawi; Michael J Breslow
Journal:  PLoS One       Date:  2012-11-07       Impact factor: 3.240

5.  Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.

Authors:  Juan C Rojas; Kyle A Carey; Dana P Edelson; Laura R Venable; Michael D Howell; Matthew M Churpek
Journal:  Ann Am Thorac Soc       Date:  2018-07

6.  Stoicism, the physician, and care of medical outliers.

Authors:  Thomas J Papadimos
Journal:  BMC Med Ethics       Date:  2004-12-09       Impact factor: 2.652

7.  Issues surrounding end-of-life decision-making.

Authors:  Vickram Tejwani; Yifan Wu; Sabrina Serrano; Luis Segura; Michael Bannon; Qi Qian
Journal:  Patient Prefer Adherence       Date:  2013-08-09       Impact factor: 2.711

8.  Quality of care and quality of life: convergence or divergence?

Authors:  Wadi B Alonazi; Shane A Thomas
Journal:  Health Serv Insights       Date:  2014-02-10

9.  Using the National Early Warning Score (NEWS/NEWS 2) in different Intensive Care Units (ICUs) to predict the discharge location of patients.

Authors:  Hassan Zaidi; Mohamed Bader-El-Den; James McNicholas
Journal:  BMC Public Health       Date:  2019-09-05       Impact factor: 3.295

10.  Rationing in the intensive care unit in case of full bed occupancy: a survey among intensive care unit physicians.

Authors:  Anke J M Oerlemans; Hub Wollersheim; Nelleke van Sluisveld; Johannes G van der Hoeven; Wim J M Dekkers; Marieke Zegers
Journal:  BMC Anesthesiol       Date:  2016-05-03       Impact factor: 2.217

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