Literature DB >> 28887270

Temporal Trends Between 2010 and 2015 in Intensity of Care at End-of-Life for Patients With Chronic Illness: Influence of Age Under vs. Over 65 Years.

Seelwan Sathitratanacheewin1, Ruth A Engelberg2, Lois Downey2, Robert Y Lee2, James A Fausto3, Helene Starks4, Ben Dunlap2, James Sibley5, William Lober5, Elizabeth T Loggers6, Nita Khandelwal7, J Randall Curtis8.   

Abstract

CONTEXT: Recent analyses of Medicare data show decreases over time in intensity of end-of-life care. Few studies exist regarding trends in intensity of end-of-life care for those under 65 years of age.
OBJECTIVES: To examine recent temporal trends in place of death, and both hospital and intensive care unit (ICU) utilization, for age-stratified decedents with chronic, life-limiting diagnoses (<65 vs. ≥65 years) who received care in a large healthcare system.
METHODS: Retrospective cohort using death certificates and electronic health records for 22,068 patients with chronic illnesses who died between 2010 and 2015. We examined utilization overall and stratified by age using multiple regression.
RESULTS: The proportion of deaths at home did not change, but hospital admissions in the last 30 days of life decreased significantly from 2010 to 2015 (hospital b = -0.026; CI = -0.041, -0.012). ICU admissions in the last 30 days also declined over time for the full sample and for patients aged 65 years or older (overall b = -0.023; CI = -0.039, -0.007), but was not significant for younger decedents. Length of stay (LOS) did not decrease for those using the hospital or ICU.
CONCLUSION: From 2010 to 2015, we observed a decrease in hospital admissions for all age groups and in ICU admissions for those over 65 years. As there were no changes in the proportion of patients with chronic illness who died at home nor in hospital or ICU LOS in the last 30 days, hospital and ICU admissions in the last 30 days may be a more responsive quality metric than site of death or LOS for palliative care interventions.
Copyright © 2017 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Palliative care; chronic conditions; end-of-life care; intensity of care; temporal trends

Mesh:

Year:  2017        PMID: 28887270      PMCID: PMC5734983          DOI: 10.1016/j.jpainsymman.2017.08.032

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  20 in total

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Authors:  Peter B Bach; Deborah Schrag; Colin B Begg
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3.  Effect of Psychiatric Illness on Acute Care Utilization at End of Life From Serious Medical Illness.

Authors:  Kyle Lavin; Dimitry S Davydow; Lois Downey; Ruth A Engelberg; Ben Dunlap; James Sibley; William B Lober; Kelson Okimoto; Nita Khandelwal; Elizabeth T Loggers; Joan M Teno; J Randall Curtis
Journal:  J Pain Symptom Manage       Date:  2017-05-09       Impact factor: 3.612

4.  Lessons from Oregon in Embracing Complexity in End-of-Life Care.

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5.  Preferred and Actual Location of Death: What Factors Enable a Preferred Home Death?

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6.  Epidemiology And Patterns Of Care At The End Of Life: Rising Complexity, Shifts In Care Patterns And Sites Of Death.

Authors:  Melissa D Aldridge; Elizabeth H Bradley
Journal:  Health Aff (Millwood)       Date:  2017-07-01       Impact factor: 6.301

7.  The influence of race/ethnicity and socioeconomic status on end-of-life care in the ICU.

Authors:  Sarah Muni; Ruth A Engelberg; Patsy D Treece; Danae Dotolo; J Randall Curtis
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8.  Change in end-of-life care for Medicare beneficiaries: site of death, place of care, and health care transitions in 2000, 2005, and 2009.

Authors:  Joan M Teno; Pedro L Gozalo; Julie P W Bynum; Natalie E Leland; Susan C Miller; Nancy E Morden; Thomas Scupp; David C Goodman; Vincent Mor
Journal:  JAMA       Date:  2013-02-06       Impact factor: 56.272

9.  Relationship between cancer patients' predictions of prognosis and their treatment preferences.

Authors:  J C Weeks; E F Cook; S J O'Day; L M Peterson; N Wenger; D Reding; F E Harrell; P Kussin; N V Dawson; A F Connors; J Lynn; R S Phillips
Journal:  JAMA       Date:  1998-06-03       Impact factor: 56.272

10.  Demographic and social characteristics and spending at the end of life.

Authors:  Lisa R Shugarman; Sandra L Decker; Anita Bercovitz
Journal:  J Pain Symptom Manage       Date:  2009-07       Impact factor: 3.612

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1.  Using Electronic Health Records for Quality Measurement and Accountability in Care of the Seriously Ill: Opportunities and Challenges.

Authors:  J Randall Curtis; Seelwan Sathitratanacheewin; Helene Starks; Robert Y Lee; Erin K Kross; Lois Downey; James Sibley; William Lober; Elizabeth T Loggers; James A Fausto; Charlotta Lindvall; Ruth A Engelberg
Journal:  J Palliat Med       Date:  2017-11-28       Impact factor: 2.947

2.  Decreased Administration of Life-Sustaining Treatment just before Death among Older Inpatients in Japan: A Time-Trend Analysis from 2012 through 2014 Based on a Nationally Representative Sample.

Authors:  Michi Sakai; Shosuke Ohtera; Tomohide Iwao; Yukiko Neff; Tomoe Uchida; Yoshimitsu Takahashi; Genta Kato; Tomohiro Kuroda; Shuzo Nishimura; Takeo Nakayama
Journal:  Int J Environ Res Public Health       Date:  2021-03-18       Impact factor: 3.390

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