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Closing the loop in person-centered care: patient experiences of a chronic kidney disease self-management intervention

Overview of attention for article published in Patient preference and adherence, November 2017
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Title
Closing the loop in person-centered care: patient experiences of a chronic kidney disease self-management intervention
Published in
Patient preference and adherence, November 2017
DOI 10.2147/ppa.s147831
Pubmed ID
Authors

Kathryn Havas, Clint Douglas, Ann Bonner

Abstract

The provision of self-management support (SMS) for people with earlier stages (1-4) of chronic kidney disease (CKD) can improve patient outcomes and extend time to dialysis. However, attempts to deliver such support have often not taken patient preferences into account. After the development, implementation, and quantitative evaluation of the person-centered CKD-SMS intervention, the aim of this study was to investigate participant experiences and perceptions of the program, as well as to seek suggestions to improve future SMS attempts. Semi-structured, face-to-face interviews were conducted with almost all (63/66) participants in the CKD-SMS. Deductive categories were derived from previous research into self-management from the CKD patient's perspective, and this was supplemented by categories that emerged inductively during multiple readings of interview transcripts. Content analysis was used to analyze interview data. Participants recognized self-management of CKD as complex and multifaceted. They felt that the CKD-SMS helped them develop skills to engage in necessary self-management tasks, as well as their knowledge about their condition and confidence to take an active role in their healthcare. These participants experience a healthcare environment that is characterized by complexity and inconsistency, and participation in the intervention helped them to navigate it. The benefit of participating in this research to contribute to the scientific literature was also recognized by participants. Overall, participants found the CKD-SMS useful in its current format, and made some suggestions for future interventions. People with CKD must engage in self-management behavior within a complex health environment. Individualized SMS such as the CKD-SMS provides an opportunity to support patients to manage their health effectively.

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The data shown below were collected from the profile of 1 X user 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 17%
Student > Master 10 14%
Student > Bachelor 6 8%
Other 5 7%
Researcher 4 6%
Other 10 14%
Unknown 25 35%
Readers by discipline Count As %
Nursing and Health Professions 15 21%
Medicine and Dentistry 11 15%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Social Sciences 3 4%
Psychology 3 4%
Other 7 10%
Unknown 30 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 December 2017.
All research outputs
#21,011,157
of 25,806,080 outputs
Outputs from Patient preference and adherence
#1,439
of 1,769 outputs
Outputs of similar age
#265,770
of 341,991 outputs
Outputs of similar age from Patient preference and adherence
#18
of 23 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,769 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 6th percentile – i.e., 6% 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 341,991 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.