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Employment implications of informal cancer caregiving

Overview of attention for article published in Journal of Cancer Survivorship, July 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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1 news outlet
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24 X users
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2 Facebook pages

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91 Mendeley
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Title
Employment implications of informal cancer caregiving
Published in
Journal of Cancer Survivorship, July 2016
DOI 10.1007/s11764-016-0560-5
Pubmed ID
Authors

Janet S. de Moor, Emily C. Dowling, Donatus U. Ekwueme, Gery P. Guy, Juan Rodriguez, Katherine S. Virgo, Xuesong Han, Erin E. Kent, Chunyu Li, Kristen Litzelman, Timothy S. McNeel, Benmei Liu, K. Robin Yabroff

Abstract

Previous research describing how informal cancer caregiving impacts employment has been conducted in small samples or a single disease site. This paper provides population-based estimates of the effect of informal cancer caregiving on employment and characterizes employment changes made by caregivers. The samples included cancer survivors with a friend or family caregiver, participating in either the Medical Expenditure Panel Survey Experiences with Cancer Survivorship Survey (ECSS) (n = 458) or the LIVESTRONG 2012 Survey for People Affected by Cancer (SPAC) (n = 4706). Descriptive statistics characterized the sample of survivors and their caregivers' employment changes. Multivariable logistic regression identified predictors of caregivers' extended employment changes, comprising time off and changes to hours, duties, or employment status. Among survivors with an informal caregiver, 25 % from the ECSS and 29 % from the SPAC reported that their caregivers made extended employment changes. Approximately 8 % of survivors had caregivers who took time off from work lasting ≥2 months. Caregivers who made extended employment changes were more likely to care for survivors: treated with chemotherapy or transplant; closer to diagnosis or end of treatment; who experienced functional limitations; and made work changes due to cancer themselves compared to caregivers who did not make extended employment changes. Many informal cancer caregivers make employment changes to provide care during survivors' treatment and recovery. This study describes cancer caregiving in a prevalent sample of cancer survivors, thereby reflecting the experiences of individuals with many different cancer types and places in the cancer treatment trajectory.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 15%
Student > Doctoral Student 10 11%
Researcher 9 10%
Student > Master 8 9%
Student > Bachelor 7 8%
Other 8 9%
Unknown 35 38%
Readers by discipline Count As %
Nursing and Health Professions 18 20%
Social Sciences 11 12%
Psychology 6 7%
Economics, Econometrics and Finance 4 4%
Computer Science 3 3%
Other 12 13%
Unknown 37 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 25 September 2018.
All research outputs
#1,480,079
of 25,753,578 outputs
Outputs from Journal of Cancer Survivorship
#72
of 1,199 outputs
Outputs of similar age
#27,053
of 374,249 outputs
Outputs of similar age from Journal of Cancer Survivorship
#1
of 9 outputs
Altmetric has tracked 25,753,578 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,199 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done particularly well, scoring higher than 93% of its peers.
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 374,249 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them