↓ Skip to main content

Measurement properties of the Short Form-36 (SF-36) and the Functional Assessment of Cancer Therapy - Anemia (FACT-An) in patients with anemia associated with chronic kidney disease

Overview of attention for article published in Health and Quality of Life Outcomes, May 2018
Altmetric Badge

Mentioned by

twitter
1 X user
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
76 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Measurement properties of the Short Form-36 (SF-36) and the Functional Assessment of Cancer Therapy - Anemia (FACT-An) in patients with anemia associated with chronic kidney disease
Published in
Health and Quality of Life Outcomes, May 2018
DOI 10.1186/s12955-018-0933-8
Pubmed ID
Authors

Fredric O. Finkelstein, Floortje van Nooten, Ingela Wiklund, Dylan Trundell, David Cella

Abstract

Anemia is a common and debilitating manifestation of chronic kidney disease (CKD). Data from two clinical trials in patients with anemia of CKD were used to assess the measurement properties of the Medical Outcomes Survey Short Form-36 version 2 (hereafter SF-36) and the Functional Assessment of Cancer Therapy-Anemia (FACT-An). The Vitality and Physical functioning domains of the SF-36 and the FACT-An Total, Fatigue and Anemia subscales were identified as domains relevant to CKD-associated anemia. A total of 204 patients aged 18-80 years were included in the analyses that included internal consistency (Cronbach's alpha), test-retest reliability (intraclass correlation coefficients [ICCs]), convergent and known-groups validity, responsiveness, and estimates of important change. Both the SF-36 and the FACT-An had strong psychometric properties with high internal consistency (Cronbach's alpha: 0.69-0.93 and 0.79-0.95), and test-retest reliability (ICCs: 0.64-0.83 and 0.72-0.88). Convergent validity, measured by correlation coefficients between similar concepts in SF-36 and FACT-An, ranged from 0.52 to 0.77. Correlations with hemoglobin (Hb) levels were modest at baseline; by Week 9, the correlations with Hb were somewhat higher, r = 0.23 (p < 0.05) for SF-36 Vitality, r = 0.22 (p < 0.05) for FACT-An Total, r = 0.26 (p < 0.001) for FACT-Fatigue and r = 0.22 (p < 0.01) for Anemia. Correlations with Hb at Week 13/17 were r = 0.28 (p < 0.001) for SF-36 Vitality and r = 0.25 (p < 0.05) for Role Physical; FACT-An Total correlation was r = 0.33 (p < 0.0001), Anemia was r = 0.28 (p < 0.001), and Fatigue was r = 0.30 (p < 0.001). The SF-36 domains and Component Summary scores (p < 0.05-p < 0.0001) demonstrated ability to detect change. For the FACT-An, significant differences (p < 0.05-p < 0.0001) were observed between responder and non-responder change scores: important change score estimates ranged from 2 to 4 for Vitality and 2-3 for Physical functioning. Important change scores were also estimated for the FACT-An Total score (6-9), the Anemia (3-5), and Fatigue subscale (2-4). Both the SF-36 Vitality and Physical function scales and the FACT-An Total, Fatigue and Anemia scales, are reliable and valid measures for assessing health-related quality of life in anemia associated with CKD.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Other 8 11%
Researcher 7 9%
Student > Master 7 9%
Student > Ph. D. Student 6 8%
Student > Postgraduate 6 8%
Other 14 18%
Unknown 28 37%
Readers by discipline Count As %
Medicine and Dentistry 20 26%
Nursing and Health Professions 9 12%
Psychology 7 9%
Agricultural and Biological Sciences 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 8 11%
Unknown 26 34%
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 31 May 2018.
All research outputs
#17,974,941
of 23,083,773 outputs
Outputs from Health and Quality of Life Outcomes
#1,517
of 2,187 outputs
Outputs of similar age
#239,448
of 331,171 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#67
of 75 outputs
Altmetric has tracked 23,083,773 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 2,187 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 21st percentile – i.e., 21% 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 331,171 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.