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Resource use, costs and quality of end-of-life care: observations in a cohort of elderly Australian cancer decedents

Overview of attention for article published in Implementation Science, February 2015
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Title
Resource use, costs and quality of end-of-life care: observations in a cohort of elderly Australian cancer decedents
Published in
Implementation Science, February 2015
DOI 10.1186/s13012-014-0148-2
Pubmed ID
Authors

Julia M Langton, Preeyaporn Srasuebkul, Rebecca Reeve, Bonny Parkinson, Yuanyuan Gu, Nicholas A Buckley, Marion Haas, Rosalie Viney, Sallie-Anne Pearson, The End-of-Life in Cancer Care (EoL-CC) Investigators

Abstract

The last year of life is one of the most resource-intensive periods for people with cancer. Very little population-based research has been conducted on end-of-life cancer care in the Australian health care setting. The objective of this program is to undertake a series of observational studies examining resource use, costs and quality of end-of-life care in a cohort of elderly cancer decedents using linked, routinely collected data. This study forms part of an ongoing cancer health services research program. The cohorts for the end-of-life research program comprise Australian Government Department of Veterans' Affairs decedents with full health care entitlements, residing in NSW for the last 18 months of life and dying between 2005 and 2009. We used cancer and death registry data to identify our decedent cohorts and their causes of death. The study population includes 9,862 decedents with a cancer history and 15,483 decedents without a cancer history. The median age at death is 86 and 87 years in the cancer and non-cancer cohorts, respectively. We will examine resource use and associated costs in the last 6 months of life using linked claims data to report on health service use, hospitalizations, emergency department visits and medicines use. We will use best practice methods to examine the nature and extent of resource use, costs and quality of care based on previously published indicators. We will also examine factors associated with these outcomes. This will be the first Australian research program and among the first internationally to combine routinely collected data from primary care and hospital-based care to examine comprehensively end-of-life care in the elderly. The research program has high translational value, as there is limited evidence about the nature and quality of care in the Australian end-of-life setting.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 1%
Canada 1 1%
Unknown 72 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 19%
Student > Ph. D. Student 10 14%
Student > Master 9 12%
Other 6 8%
Student > Bachelor 5 7%
Other 14 19%
Unknown 16 22%
Readers by discipline Count As %
Medicine and Dentistry 29 39%
Nursing and Health Professions 8 11%
Economics, Econometrics and Finance 6 8%
Social Sciences 4 5%
Agricultural and Biological Sciences 2 3%
Other 5 7%
Unknown 20 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 February 2015.
All research outputs
#13,936,629
of 22,793,427 outputs
Outputs from Implementation Science
#1,461
of 1,721 outputs
Outputs of similar age
#129,241
of 255,469 outputs
Outputs of similar age from Implementation Science
#33
of 40 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,721 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 255,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.