Literature DB >> 24419639

Shared decision-making at end-of-life is aided by graphical trending of illness severity.

David B Bittleman1, Alan B Solinger, G Duncan Finlay.   

Abstract

The Rothman Index (RI) gives a visual picture of patient's condition and progress for the physician and family to view together. This case demonstrates how the RI graph facilitates physician-family communication. An 85-year-old man with normal pressure hydrocephalus and ventriculoperitoneal shunt presented with a subdural haematoma. He required a temporoparietal craniotomy and evacuation of left subdural haematoma, followed by care in an intensive inpatient rehabilitation unit. His course was complicated by aspiration pneumonia, dehydration, renal failure and phenytoin toxicity. During hospitalisation, the patient's RI graph was reviewed daily with his family. The RI provided an unambiguous visualisation of the trend of patient acuity, which depicted the patient's persistent decline in health, and made clear to the family the situation of the patient. This clarity was instrumental in prompting frank discussions of prognosis and consideration of comfort measures, resulting in timely transfer to hospice.

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Year:  2014        PMID: 24419639      PMCID: PMC3902395          DOI: 10.1136/bcr-2013-201522

Source DB:  PubMed          Journal:  BMJ Case Rep        ISSN: 1757-790X


  7 in total

1.  Reasons why physicians do not have discussions about poor prognosis, why it matters, and what can be improved.

Authors:  Jennifer W Mack; Thomas J Smith
Journal:  J Clin Oncol       Date:  2012-07-02       Impact factor: 44.544

2.  Prognostication during physician-family discussions about limiting life support in intensive care units.

Authors:  Douglas B White; Ruth A Engelberg; Marjorie D Wenrich; Bernard Lo; J Randall Curtis
Journal:  Crit Care Med       Date:  2007-02       Impact factor: 7.598

3.  Development and validation of a continuous measure of patient condition using the Electronic Medical Record.

Authors:  Michael J Rothman; Steven I Rothman; Joseph Beals
Journal:  J Biomed Inform       Date:  2013-07-03       Impact factor: 6.317

4.  A pilot trial of decision aids to give truthful prognostic and treatment information to chemotherapy patients with advanced cancer.

Authors:  Thomas J Smith; Lindsay A Dow; Enid A Virago; James Khatcheressian; Robin Matsuyama; Laurel J Lyckholm
Journal:  J Support Oncol       Date:  2011 Mar-Apr

5.  Identifying patients at increased risk for unplanned readmission.

Authors:  Elizabeth H Bradley; Olga Yakusheva; Leora I Horwitz; Heather Sipsma; Jason Fletcher
Journal:  Med Care       Date:  2013-09       Impact factor: 2.983

6.  Clinical implications and validity of nursing assessments: a longitudinal measure of patient condition from analysis of the Electronic Medical Record.

Authors:  Michael J Rothman; Alan B Solinger; Steven I Rothman; G Duncan Finlay
Journal:  BMJ Open       Date:  2012-08-08       Impact factor: 2.692

7.  Placing clinical variables on a common linear scale of empirically based risk as a step towards construction of a general patient acuity score from the electronic health record: a modelling study.

Authors:  Steven I Rothman; Michael J Rothman; Alan B Solinger
Journal:  BMJ Open       Date:  2013-05-14       Impact factor: 2.692

  7 in total
  1 in total

1.  No Exit: Identifying Avoidable Terminal Oncology Intensive Care Unit Hospitalizations.

Authors:  Bobby Daly; Andrew Hantel; Kristen Wroblewski; Jay S Balachandran; Selina Chow; Rebecca DeBoer; Gini F Fleming; Olwen M Hahn; Justin Kline; Hongtao Liu; Bhakti K Patel; Anshu Verma; Leah J Witt; Mayumi Fukui; Aditi Kumar; Michael D Howell; Blase N Polite
Journal:  J Oncol Pract       Date:  2016-10       Impact factor: 3.840

  1 in total

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