↓ Skip to main content

A psychometric assessment of the St. George’s respiratory questionnaire in patients with COPD using rasch model analysis

Overview of attention for article published in Health and Quality of Life Outcomes, August 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
59 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
A psychometric assessment of the St. George’s respiratory questionnaire in patients with COPD using rasch model analysis
Published in
Health and Quality of Life Outcomes, August 2015
DOI 10.1186/s12955-015-0320-7
Pubmed ID
Authors

Chyi Lo, Wen-Miin Liang, Liang-Wen Hang, Tai-Chin Wu, Yu-Jun Chang, Chih-Hung Chang

Abstract

The St. George's Respiratory Questionnaire (SGRQ) was a widely used tool to assess disease impact on patients with obstructive airways disease. Although traditional methods have generally supported construct validity and internal consistency reliability of SGRQ, such methods cannot facilitate the evaluation of whether items are equivalent to different individuals. The purpose of this study is to rigorously examine the psychometric properties of the SGRQ in patients with chronic obstructive pulmonary disease (COPD) using Rasch model analysis. A methodological research was conducted on SGRQ in a sample of 240 male patients with COPD recruited from the outpatient services in Central Taiwan. The psychometric properties of the SGRQ were examined using Rasch model analysis with a mixed rating scale and partial credit mode by Winsteps software. The level of matching between the item's difficulty and person's ability was analyzed by item-person targeting as well as ceiling and floor effects. Item-person maps were also examined for checking the location of the item's difficulty and person's measures along the same scale. Finally, the differential item functioning (DIF) was examined to measure group equivalence associated with age and disease's severity. Each of the three domains (Symptom, Activity, Impact) of the SGRQ was found to be unidimensionality. The person separation index ranged from 1.21 (Symptom domain) to 2.50 (Activity domain). There was a good targeting for the SGRQ domains, except the Impact domain (1.36). The percentage of ceiling and floor effects were below 10 %, except the ceiling effect in the Impact domain (26.25 %). From item-person maps, gaps of location of item corresponded to patient's ability were identified. The results have also showed that many items in SGRQ revealed age or severity related DIF. Except the Symptom domain of SGRQ, the others have a reliabile internal consistency and a good hierarchical structure. The results of Rasch model analysis can highlight aspects for scale improvement, such as gap, duplicate items or scale responses. There was some age or severity related DIF indicating somewhat unstable across different characteristics of group. IRB No.: DMR94-IRB-179.

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

Geographical breakdown

Country Count As %
India 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 19%
Student > Ph. D. Student 9 15%
Student > Bachelor 4 7%
Researcher 4 7%
Student > Doctoral Student 3 5%
Other 9 15%
Unknown 19 32%
Readers by discipline Count As %
Nursing and Health Professions 9 15%
Medicine and Dentistry 8 14%
Social Sciences 6 10%
Psychology 4 7%
Agricultural and Biological Sciences 3 5%
Other 9 15%
Unknown 20 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 21 August 2015.
All research outputs
#15,344,095
of 22,824,164 outputs
Outputs from Health and Quality of Life Outcomes
#1,304
of 2,158 outputs
Outputs of similar age
#156,112
of 265,957 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#30
of 67 outputs
Altmetric has tracked 22,824,164 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 32nd percentile – i.e., 32% 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 265,957 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.