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Measuring hemophilia caregiver burden: validation of the Hemophilia Caregiver Impact measure

Overview of attention for article published in Quality of Life Research, April 2017
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
Measuring hemophilia caregiver burden: validation of the Hemophilia Caregiver Impact measure
Published in
Quality of Life Research, April 2017
DOI 10.1007/s11136-017-1572-y
Pubmed ID
Authors

Carolyn E. Schwartz, Victoria E. Powell, Adi Eldar-Lissai

Abstract

The purpose of this article is to describe the psychometric development of the Hemophilia Caregiver Impact measure. Qualitative interviews (n = 22) and a cross-sectional web-based study (n = 458) were implemented with caregivers of people with hemophilia. Classical test theory and item response theory analyses were implemented to evaluate the psychometric characteristics of the measure. The study sample had a mean age of 39 and a median level of college education. It was predominantly female (88%), and had an average of two children. 85% of this study sample had at least one child with hemophilia. The final 36-item Hemophilia Caregiver Impact measure is composed of seven subscales assessing relevant negative aspects of caregiver impact (Burden Summary) as well as one subscale reflecting a positive aspect of caregiver impact (Positive Emotions). These two summary scores are orthogonal and can be used together in analyses examining negative and positive aspects of caregiver impact. The items included within each subscale reflect a unidimensional construct, demonstrate good item information and trace lines, and lack of local dependence. The resulting subscales demonstrate high reliability, and good construct validity. They show moderate incremental and discriminant validity. The Hemophilia Caregiver Impact measure is a useful new tool for clinical research on hemophilia. In addition to having eight relevant subscales, the measure can also be summarized with two scores. This versatility can be useful in analyzing studies with very small samples, which is to be expected when dealing with a rare condition like hemophilia.

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 16%
Student > Ph. D. Student 8 11%
Researcher 7 10%
Student > Doctoral Student 5 7%
Professor > Associate Professor 3 4%
Other 13 18%
Unknown 25 34%
Readers by discipline Count As %
Psychology 10 14%
Nursing and Health Professions 9 12%
Medicine and Dentistry 7 10%
Economics, Econometrics and Finance 5 7%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 11 15%
Unknown 28 38%
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 29 August 2017.
All research outputs
#15,494,120
of 25,870,142 outputs
Outputs from Quality of Life Research
#1,518
of 3,085 outputs
Outputs of similar age
#171,428
of 327,260 outputs
Outputs of similar age from Quality of Life Research
#26
of 72 outputs
Altmetric has tracked 25,870,142 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,085 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 48th percentile – i.e., 48% 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 327,260 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 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 62% of its contemporaries.