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Patient and treatment characteristics associated with patient activation in patients undergoing hemodialysis: a cross-sectional study

Overview of attention for article published in BMC Nephrology, June 2018
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Title
Patient and treatment characteristics associated with patient activation in patients undergoing hemodialysis: a cross-sectional study
Published in
BMC Nephrology, June 2018
DOI 10.1186/s12882-018-0917-2
Pubmed ID
Authors

Liesbet Van Bulck, Kathleen Claes, Katrien Dierickx, Annelies Hellemans, Sofie Jamar, Sven Smets, Gijs Van Pottelbergh

Abstract

Patient activation is associated with better outcomes and lower costs. Although the concept is widely investigated, little attention was given to patient activation and its predictors in patients undergoing hemodialysis. Hence, we aimed to investigate the level of patient activation and aimed to determine patient- and treatment-related predictors of activation in patients undergoing hemodialysis. This cross-sectional observational study recruited patients undergoing hemodialysis in three Flemish hospitals. Participants were questioned about patient characteristics (i.e., age, sex, education, employment, children, social support, leisure-time, living condition, and care at home), treatment- and health-related characteristics (i.e., hospital, time since first dialysis, transplantation, self-reported health (EQ-VAS) and depressive symptoms (PHQ-2)), and patient activation (PAM-13). Univariate and multiple linear regression analyses with dummy variables were conducted to investigate the associations between the independent variables and patient activation. The average patient activation-score was 51. Of 192 patients, 44% patients did not believe they had an important role regarding their health. Multiple linear regression showed that older patients, who reported being in bad health, treated in a particular hospital, without leisure-time activities, and living in a residential care home, had lower patient activation. These variables explained 31% of the variance in patient activation. Based on literature, we found that activation of patients on hemodialysis is low, compared to that of other chronic patient groups. It could be useful to implement patient activation monitoring, since the level of activation is low in patients undergoing hemodialysis. Older patients, who reported being in bad health, treated in a particular hospital, without leisure-time activities, living in a residential care home, are at higher risk for lower activation.

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

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 13%
Student > Master 14 12%
Student > Bachelor 13 11%
Researcher 8 7%
Student > Doctoral Student 7 6%
Other 23 19%
Unknown 38 32%
Readers by discipline Count As %
Nursing and Health Professions 24 20%
Medicine and Dentistry 23 19%
Psychology 11 9%
Social Sciences 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 12 10%
Unknown 42 36%
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 04 June 2018.
All research outputs
#13,616,685
of 23,085,832 outputs
Outputs from BMC Nephrology
#1,075
of 2,499 outputs
Outputs of similar age
#170,538
of 330,319 outputs
Outputs of similar age from BMC Nephrology
#23
of 53 outputs
Altmetric has tracked 23,085,832 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,499 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 54% 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 330,319 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.