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Variations in Care Quality Outcomes of Dying People: Latent Class Analysis of an Adult National Register Population

Overview of attention for article published in Journal of Pain & Symptom Management, October 2016
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
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Title
Variations in Care Quality Outcomes of Dying People: Latent Class Analysis of an Adult National Register Population
Published in
Journal of Pain & Symptom Management, October 2016
DOI 10.1016/j.jpainsymman.2016.08.006
Pubmed ID
Authors

Joakim Öhlén, Lara Russell, Cecilia Håkanson, Anette Alvariza, Carl Johan Fürst, Kristofer Årestedt, Richard Sawatzky

Abstract

Symptom relief is a key goal of palliative care. There is a need to consider complexities in symptom relief patterns for groups of people in order to understand and evaluate symptom relief as an indicator of quality of care at end of life. The aims of this study were to distinguish classes of patients who have different symptom relief patterns during the last week of life and to identify predictors of these classes in an adult register population. In a cross-sectional retrospective design, data was used from 87,026 decedents with expected deaths registered in the Swedish Register of Palliative Care in 2011 and 2012. Study variables were structured into patient characteristics, and processes and outcomes of quality of care. A latent class analysis was used to identify symptom relief patterns. Multivariate multinomial regression analyses were used to identify predictors of class membership. Five latent classes were generated: "relieved pain", "relieved pain and rattles", "relieved pain and anxiety", "partly relieved shortness of breath, rattles and anxiety" and "partly relieved pain, anxiety and confusion". Important predictors of class membership were age, sex, cause of death, and having someone present at death, individual PRN prescriptions and expert consultations. Inter-individual variability and complexity in symptom relief patterns may inform quality of care and its evaluation for dying people across care settings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Researcher 6 11%
Student > Bachelor 5 9%
Student > Ph. D. Student 4 7%
Student > Doctoral Student 3 5%
Other 12 22%
Unknown 17 31%
Readers by discipline Count As %
Nursing and Health Professions 16 29%
Social Sciences 5 9%
Psychology 3 5%
Medicine and Dentistry 2 4%
Computer Science 1 2%
Other 9 16%
Unknown 19 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 January 2018.
All research outputs
#8,194,992
of 25,394,764 outputs
Outputs from Journal of Pain & Symptom Management
#2,023
of 4,065 outputs
Outputs of similar age
#115,601
of 328,233 outputs
Outputs of similar age from Journal of Pain & Symptom Management
#32
of 57 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,065 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 49th percentile – i.e., 49% 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 328,233 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.