Evidence map›Paper›PMID 40168339›Full record

ArticlePloS one2025

The Inflammatory Bowel Disease Knowledge Inventory Device 2 (IBD-KID2) is an effective tool for measuring disease-specific knowledge in Chinese patients.

HaiQun Huang, Ping Li, Angharad Vernon-Roberts, Andrew S Day, BaiLing Liu, ZhaoRu Wu, YuLing Liu, QiaoRu Ye, He Wang

Abstract read
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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

HaiQun HuangDepartment of Gastroenterology, Guangzhou First People's Hospital, Guangzhou, Guangdong, China.ORCID 0000-0002-7005-8967
Ping LiDepartment of Gastroenterology, Guangzhou First People's Hospital, Guangzhou, Guangdong, China.
Angharad Vernon-RobertsUniversity of Otago Christchurch, Department of Pediatrics, Christchurch, New Zealand.
Andrew S DayUniversity of Otago Christchurch, Department of Pediatrics, Christchurch, New Zealand.
BaiLing LiuDepartment of Gastroenterology, Guangzhou First People's Hospital, Guangzhou, Guangdong, China.
ZhaoRu WuDepartment of Gastroenterology, Guangzhou First People's Hospital, Guangzhou, Guangdong, China.
YuLing LiuDepartment of Gastroenterology, Guangzhou First People's Hospital, Guangzhou, Guangdong, China.
QiaoRu YeDepartment of Gastroenterology, Guangzhou First People's Hospital, Guangzhou, Guangdong, China.
He WangDepartment of Gastroenterology, Guangzhou First People's Hospital, Guangzhou, Guangdong, China.ORCID 0009-0008-5278-1968

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Inflammatory Bowel Disease Knowledge Inventory Device 2 (IBD-KID2) is a specialized tool designed to evaluate disease-specific knowledge in patients with inflammatory bowel disease. The aim of this study was to develop a Chinese version of IBD-KID2 and to test the reliability and validity of this tool in Chinese patients with IBD.

methodsA Chinese version of IBD-KID2 was developed through initial cultural relevance/comprehension review and adaptation using content validity index for individual items (I-CVI, level > 0.78 acceptable) and the scale overall (S-CVI, level > 0.8 acceptable). A standardized approach was used to translate IBD-KID2 to Chinese, with the final tool being 15 items long and scored as one point for each correct answer (maximum score of 15). Tool validity was evaluated in a convenience sample of patients with IBD. External reliability was evaluated using test-retest analysis in a participant subset two weeks after baseline completion and internal reliability evaluated using cohort scores (Cronbach's alpha, Cronbach's α).

resultsFollowing expert review for cultural relevance/comprehension the original IBD-KID2 scored > 0.78 I-CVI and > 0.9 for the S-CVI, and the tool was then translated. Ninety-six participants with IBD completed the Chinese IBD-KID2; 68 (71%) were male, eight (8%) aged < 18 years, and 63 (66%) had Crohn's disease. The mean IBD-KID2 score of the cohort was 9.2 (±3.2, range 3-14). Scores decreased with age (p = 0.012) and increased with higher levels of education (p < 0.001). The retest reliability in a subset of 30 patients showed a correlation of 0.89 (P < 0.001), with no difference between the two time points (mean difference 0.4, = 0.16). The tool had high internal consistency with a Cronbach's α coefficient of 0.8.

conclusionThe Chinese version of the IBD-KID2 demonstrated satisfactory reliability and validity, making it a robust instrument for evaluating disease-specific knowledge in individuals with IBD.

Indexed as

Health Knowledge, Attitudes, PracticeInflammatory Bowel DiseasesAdolescentAdultAgedChinaEast Asian PeopleFemaleHumansMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesYoung Adult

Identifiers

PMID40168339
PMCPMC11960972

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.