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Catquest-9SF questionnaire: validation of Malay and Chinese-language versions using Rasch analysis

Overview of attention for article published in Health and Quality of Life Outcomes, January 2018
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Title
Catquest-9SF questionnaire: validation of Malay and Chinese-language versions using Rasch analysis
Published in
Health and Quality of Life Outcomes, January 2018
DOI 10.1186/s12955-017-0833-3
Pubmed ID
Authors

Tassha Hilda Adnan, Mokhlisoh Mohamed Apandi, Haireen Kamaruddin, Mohamad Aziz Salowi, Kian Boon Law, Jamaiyah Haniff, Pik Pin Goh

Abstract

Catquest questionnaire was originally developed in Swedish to measure patients' self-assessed visual function to evaluate the benefit of cataract surgery. The result of the Rasch analysis leading to the creation of the nine-item short form of Catquest, (Catquest-9SF), and it had been translated and validated in English. The aim is therefore to evaluate the translated Catquest-9SF questionnaire in Malay and Chinese (Mandarin) language version for measuring patient-reported visual function among cataract population in Malaysia. The English version of Catquest-9SF questionnaire was translated and back translated into Malay and Chinese languages. The Malay and Chinese translated versions were self-administered by 236 and 202 pre-operative patients drawn from a cataract surgery waiting list, respectively. The translated Catquest-9SF data and its four response options were assessed for fit to the Rasch model. The Catquest-9SF performed well in the Malay and Chinese translated versions fulfilling all criteria for valid measurement, as demonstrated by Rasch analysis. Both versions of questionnaire had ordered response thresholds, with a good person separation (Malay 2.84; and Chinese 2.59) and patient separation reliability (Malay 0.89; Chinese 0.87). Targeting was 0.30 and -0.11 logits in Malay and Chinese versions respectively, indicating that the item difficulty was well suited to the visual abilities of the patients. All items fit a single overall construct (Malay infit range 0.85-1.26, outfit range 0.73-1.13; Chinese infit range 0.80-1.51, outfit range 0.71-1.36), unidimensional by principal components analysis, and was free of Differential Item Functioning (DIF). These results support the good overall functioning of the Catquest-9SF in patients with cataract. The translated questionnaire to Malay and Chinese-language versions are reliable and valid in measuring visual disability outcomes in the Malaysian cataract population.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 20%
Student > Ph. D. Student 4 8%
Student > Bachelor 4 8%
Student > Doctoral Student 3 6%
Lecturer 2 4%
Other 7 14%
Unknown 20 40%
Readers by discipline Count As %
Medicine and Dentistry 12 24%
Nursing and Health Professions 7 14%
Psychology 2 4%
Linguistics 1 2%
Agricultural and Biological Sciences 1 2%
Other 5 10%
Unknown 22 44%
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 07 January 2018.
All research outputs
#14,963,216
of 23,015,156 outputs
Outputs from Health and Quality of Life Outcomes
#1,273
of 2,186 outputs
Outputs of similar age
#255,788
of 441,866 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#43
of 63 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,186 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 38th percentile – i.e., 38% 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 441,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.