↓ Skip to main content

Dove Medical Press

Psychometric properties of the Chinese version of the Self-Efficacy for Appropriate Medication Use Scale in patients with stroke

Overview of attention for article published in Patient preference and adherence, March 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Readers on

mendeley
40 Mendeley
Title
Psychometric properties of the Chinese version of the Self-Efficacy for Appropriate Medication Use Scale in patients with stroke
Published in
Patient preference and adherence, March 2016
DOI 10.2147/ppa.s101844
Pubmed ID
Authors

Xiao-fang Dong, Yan-jin Liu, Ai-xia Wang, Pei-hua Lv

Abstract

It has been reported that stroke has a higher incidence and mortality rate in the People's Republic of China compared to the global average. These conditions can be managed by proper medication use, but ensuring medication adherence is challenging. To translate the Self-Efficacy for Appropriate Medication Use Scale into Chinese and test its validity and reliability in patients with stroke. Instrument performances were measured from January 15, 2015 to April 28, 2015 on a convenience sample of 400 patients with stroke recruited at four neurology departments of the First Affiliated Hospital of Zhengzhou University. Questionnaires included the Chinese versions of the Self-Efficacy for Appropriate Medication Use Scale (C-SEAMS) and the General Self-Efficacy Scale (C-GSE). Construct validity, convergent validity, internal consistency, and test-retest reliability were measured. Item analysis showed that item-to-total correlations were in the range of 0.362-0.672. Exploratory factor analysis revealed two factors (which accounted for 60.862% of total variance), with factor loading ranging from 0.534 to 0.756. Confirmatory factor analysis was performed to support the results, with an acceptable fit (χ (2)=73.716; df=64; P<0.01; goodness-of-fit index =0.902; adjusted goodness-of-fit index =0.897; comparative fit index =0.865; root-mean-square error of approximation =0.058). The convergent validity of the C-SEAMS correlated well with the validated measure of the C-GSE in measuring self-efficacy (r=0.531, P<0.01). Good internal consistency (Cronbach's alpha ranged from 0.826 to 0.915) and test-retest reliability (Pearson's correlation coefficient r=0.642, P<0.01) were found. The C-SEAMS is a brief and psychometrically sound measure for evaluating self-efficacy for medication adherence in the Chinese population with stroke.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 20%
Student > Bachelor 4 10%
Researcher 4 10%
Student > Ph. D. Student 4 10%
Student > Postgraduate 3 8%
Other 7 18%
Unknown 10 25%
Readers by discipline Count As %
Nursing and Health Professions 7 18%
Pharmacology, Toxicology and Pharmaceutical Science 4 10%
Medicine and Dentistry 4 10%
Unspecified 3 8%
Psychology 3 8%
Other 7 18%
Unknown 12 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 13 July 2023.
All research outputs
#3,561,046
of 25,373,627 outputs
Outputs from Patient preference and adherence
#216
of 1,757 outputs
Outputs of similar age
#53,818
of 312,604 outputs
Outputs of similar age from Patient preference and adherence
#8
of 62 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,757 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 87% 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 312,604 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.