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Factors affecting quality of life in patients on haemodialysis: a cross-sectional study from Palestine

Overview of attention for article published in BMC Nephrology, April 2016
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Title
Factors affecting quality of life in patients on haemodialysis: a cross-sectional study from Palestine
Published in
BMC Nephrology, April 2016
DOI 10.1186/s12882-016-0257-z
Pubmed ID
Authors

Sa’ed H. Zyoud, Dala N. Daraghmeh, Diana O. Mezyed, Razan L. Khdeir, Mayas N. Sawafta, Nora A. Ayaseh, Ghada H. Tabeeb, Waleed M. Sweileh, Rahmat Awang, Samah W. Al-Jabi

Abstract

Haemodialysis (HD) is a life-sustaining treatment for patients with end-stage renal disease (ESRD). HD can bring about significant impairment in health-related quality of life (HRQOL) and outcomes. Therefore, we sought to describe the patterns of HRQOL and determine the independent factors associated with poor HRQOL in Palestinian patients on HD. A multicenter cross-sectional study was performed from June 2014 to January 2015 using the EuroQOL-5 Dimensions instrument (EQ-5D-5L) for the assessment of HRQOL. ESRD patients undergoing HD in all dialysis centres in the West Bank of Palestine were approached and recruited for this study. Multiple linear regression was carried out to identify factors that were significantly associated with HRQOL. Two hundred and sixty-seven patients were participated in the current study giving response rate of 96 %. Overall, 139 (52.1 %) were male, and the mean ± standard deviation age was 53.3 ± 16.2 years. The reported HRQOL as measured by mean EQ-5D-5L index value and Euro QOL visual analogue scale (EQ-VAS) score was 0.37 ± 0.44 and 59.38 ± 45.39, respectively. There was a moderate positive correlation between the EQ-VAS and the EQ-5D-5L index value (r = 0.42, p < 0.001). The results of multiple linear regression showed a significant negative association between HRQOL with age, total number of chronic co-morbid diseases and the total number of chronic medications. However, a significant positive association was found between HRQOL with male gender, university education level and patients who live in village. Our results provided insight into a number of associations between patient variables and their HRQOL. Healthcare providers should be aware of low HRQOL among patients with no formal education, female gender, patient's residents of refugee camps, multiple co-morbid diseases, multiple chronic medications, and elderly patients to improve their quality of life.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 284 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Unknown 283 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 14%
Student > Bachelor 33 12%
Student > Ph. D. Student 22 8%
Student > Postgraduate 17 6%
Other 13 5%
Other 37 13%
Unknown 122 43%
Readers by discipline Count As %
Nursing and Health Professions 62 22%
Medicine and Dentistry 38 13%
Pharmacology, Toxicology and Pharmaceutical Science 16 6%
Psychology 10 4%
Social Sciences 8 3%
Other 22 8%
Unknown 128 45%
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 29 April 2016.
All research outputs
#18,616,159
of 23,881,329 outputs
Outputs from BMC Nephrology
#1,777
of 2,550 outputs
Outputs of similar age
#208,477
of 301,356 outputs
Outputs of similar age from BMC Nephrology
#18
of 23 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,550 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 23rd percentile – i.e., 23% 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 301,356 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% 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 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.