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Burden of treatment for chronic illness: a concept analysis and review of the literature

Overview of attention for article published in Health Expectations, January 2013
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
2 news outlets
policy
2 policy sources
twitter
3 X users

Citations

dimensions_citation
250 Dimensions

Readers on

mendeley
315 Mendeley
citeulike
1 CiteULike
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Title
Burden of treatment for chronic illness: a concept analysis and review of the literature
Published in
Health Expectations, January 2013
DOI 10.1111/hex.12046
Pubmed ID
Authors

Adem Sav, Michelle A. King, Jennifer A. Whitty, Elizabeth Kendall, Sara S. McMillan, Fiona Kelly, Beth Hunter, Amanda J. Wheeler

Abstract

CONTEXT: Treatment burden, the burden associated with the treatment and management of chronic illness, has not yet been well articulated. OBJECTIVE: Using Rodgers' (1989, Journal of Advanced Nursing, 14, 330-335) method of concept analysis, this review describes the ways in which treatment burden has been conceptualized to define the concept and to develop a framework for understanding its attributes, antecedents and consequences. METHODS: Leading databases were searched electronically between the years 2002 and 2011. To ensure the review focused on actual observations of the concept of interest, articles that did not measure treatment burden (either qualitatively or quantitatively) were excluded. An inductive approach was used to identify themes related to the concept of treatment burden. MAIN RESULTS: Thirty articles, identified from 1557 abstracts, were included in the review. The attributes of treatment burden include burden as a dynamic process, as a multidimensional concept, and comprising of both subjective and objective elements. Prominent predisposing factors (antecedents) include the person's age and gender, their family circumstances, possible comorbidity, high use of medications, characteristics of treatment and their relationship with their health-care provider. The most dominant consequences are poor health and well-being, non-adherence to treatment, ineffective resource use and burden on significant others. Furthermore, many of these consequences can also become antecedents, reflecting the cyclic and dynamic nature of treatment burden. CONCLUSION: The findings underscore the need for researchers and health-care professionals to engage in collaborative discussions and make cooperative efforts to help alleviate treatment burden and tailor treatment regimens to the realities of people's daily lives.

X Demographics

X Demographics

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 315 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Sweden 1 <1%
Portugal 1 <1%
Denmark 1 <1%
Unknown 311 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 50 16%
Student > Ph. D. Student 45 14%
Student > Bachelor 32 10%
Researcher 24 8%
Lecturer 17 5%
Other 59 19%
Unknown 88 28%
Readers by discipline Count As %
Medicine and Dentistry 64 20%
Nursing and Health Professions 47 15%
Pharmacology, Toxicology and Pharmaceutical Science 22 7%
Psychology 21 7%
Social Sciences 12 4%
Other 49 16%
Unknown 100 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 16 August 2023.
All research outputs
#1,453,868
of 24,549,201 outputs
Outputs from Health Expectations
#166
of 1,628 outputs
Outputs of similar age
#13,643
of 291,606 outputs
Outputs of similar age from Health Expectations
#3
of 17 outputs
Altmetric has tracked 24,549,201 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 1,628 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 89% 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 291,606 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 95% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.