ArticleJournal of medical Internet research2023
Translating and Adapting the DISCERN Instrument Into a Simplified Chinese Version and Validating Its Reliability: Development and Usability Study.
Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
30 citing papers in PubMed, 39 citations in OpenAlex.
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- Comprehensiveness, quality, and readability of non-invasive prenatal testing information on Japanese medical institution websites.PEC innovation · 2026Article
- The current status and future directions of short video dissemination on urolithiasis via the TikTok platform: a cross-sectional study.Scientific reports · 2026Article
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- Multilingual Video Education for Hospitalized Patients With Myocardial Infarction (EDUCATE-MI): Single-Arm Implementation Study.JMIR cardio · 2026Article
- Quality evaluation of online platforms information for retail of prescription medicines in China: an observational study of the case of paroxetine.BMC medical informatics and decision making · 2026Observational
- Evaluating AI-generated patient education materials for endometrial cancer surgery: a comparative analysis of response quality, reliability, and readability between ChatGPT and DeepSeek models.Frontiers in public health · 2026Article
- Evaluating the quality and readability of AI-generated information on adenomyosis: a comparative analysis of ChatGPT and deepseek regarding query-model consistency.Frontiers in public health · 2026Article
- The double-edged sword effect of illegitimate tasks on hotel industry employees' self-control behavior.Frontiers in psychology · 2026Article
- Evaluation of large language models in generating and optimizing educational materials for neonatal home oxygen therapy.Frontiers in artificial intelligence · 2026Article
- Assessing the quality and reliability of health information on GLP-1 receptor agonists on TikTok and Bilibili: a cross-sectional analysis of the public health infodemic.Therapeutic advances in endocrinology and metabolism · 2026Article
- Epistemic compression in large language model explanations of the gut-liver axis.Frontiers in cellular and infection microbiology · 2026Article
- Quality, reliability, and transparency of late-life depression videos on Chinese social media: a cross-sectional study of Douyin, Rednotes, and BiliBili.Frontiers in psychiatry · 2026Article
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- How to select high-quality health educational short videos on social media? insights from youtube and douyin.BMC medical education · 2025Article
- Evaluation of the quality and reliability of Chinese content about orthognathic surgery on BiliBili and TikTok: a cross-sectional study.Scientific reports · 2025Article
- Evaluation of Douyin Short Videos on Mammography in China: Quality and Reliability Analysis.JMIR cancer · 2025Article
- Quality Assessment of Medical Institutions' Websites Regarding Prescription Drug Misuse of Glucagon-Like Peptide-1 Receptor Agonists by Off-Label Use for Weight Loss: Website Evaluation Study.JMIR formative research · 2025Article
- ChatGPT's Role in Coronary Artery Bypass Graft Information: A Critical Assessment.Sisli Etfal Hastanesi tip bulteni · 2025Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is a wide variation in the quality of information available to patients on the treatment of the diseases afflicting them. To help patients find clear and accessible information, many scales have been designed to evaluate the quality of health information, including the Patient Education Materials Assessment Tool; the Suitability Assessment of Materials for evaluation of health-related information for adults; and DISCERN, an instrument for judging the quality of written consumer health information on treatment choices. These instruments are primarily in English. Few of them have been translated and adapted into simplified Chinese tools for health information assessment in China.
objectiveThis study aimed to translate and adapt DISCERN into the first simplified Chinese version and validate the psychometric properties of this newly developed scale for judging the quality of patient-oriented health information on treatment choices.
methodsFirst, we translated DISCERN into simplified Chinese using rigorous guidelines for translation and validation studies. We tested the translation equivalence and measured the content validity index. We then presented the simplified Chinese instrument to 3 health educators and asked them to use it to assess the quality of 15 lung cancer-related materials. We calculated the Cohen κ coefficient and Cronbach α for all items and for the entire scale to determine the reliability of the new tool.
resultsWe decided on the simplified Chinese version of the DISCERN instrument (C-DISCERN) after resolving all problems in translation, adaptation, and content validation. The C-DISCERN was valid and reliable: the content validity index was 0.98 (47/48, 98% of the items) for clarity and 0.94 (45/48, 94% of the items) for relevance, the Cronbach α for internal consistency was .93 (95% CI 0.699-1.428) for the whole translated scale, and the Cohen κ coefficient for internal consistency was 0.53 (95% CI 0.417-0.698).
conclusionsC-DISCERN is the first simplified Chinese version of the DISCERN instrument. Its validity and reliability have been attested to assess the quality of patient-targeted information for treatment choices.
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Registered trials
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.