Developing the Chinese version of the new 5-level EQ-5D descriptive system: the response scaling approach.

Qual Life Res

Saw Swee Hock School of Public Health, National University of Singapore, 16 Medical Drive, Block MD3, Singapore, 117597, Singapore.

Published: May 2013

Purpose: To develop a Chinese version of the new, 5-level EQ-5D descriptive system (EQ-5D-5L) from the existing EQ-5D-3L by identifying Chinese label wording suitable for constructing EQ-5D-5L's 5-point response scales.

Methods: In face-to-face interviews, perceived severity of selected Chinese labels when they were used to describe EQ-5D health problems was measured from 50 native Chinese speakers using a 0 (no problems) to 100 (the worst problems) visual analog scale. Selection of label wording was based on the severity scores and semantic similarity with label wording used in the existing English and Spanish EQ-5D-5L.

Results: The severity scores supported the use of Chinese wording of 'only a little' (range of median: 12.5-17), 'moderate' (range of median: 50-53), and 'severe' (range of median: 82.5-90) as the descriptors for the intermediate functional levels of the five EQ-5D dimensions and the label wording of 'very severe' (median: 90) to describe the worst level of pain/discomfort and anxiety/depression.

Conclusions: The Chinese version of the EQ-5D-5L comprises descriptors with similar interpretations as those used its English and Spanish counterparts. The response scaling exercise is a useful method for cross-cultural adaptation of health-status instruments.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3636433PMC
http://dx.doi.org/10.1007/s11136-012-0200-0DOI Listing

Publication Analysis

Top Keywords

label wording
16
chinese version
12
range median
12
version 5-level
8
5-level eq-5d
8
eq-5d descriptive
8
descriptive system
8
response scaling
8
severity scores
8
english spanish
8

Similar Publications

United States and European Union laws demand separate clinical studies in children as a condition for drugs' marketing approval. Justified by carefully framed pseudo-scientific wordings, more so the European Medicines Agency than the United States Food and Drug Administration, "Pediatric Drug Development" is probably the largest abuse in medical research in history. Preterm newborns are immature and vulnerable, but they grow.

View Article and Find Full Text PDF

Background: Population growth and an increase in the number of Africans who survive to old age puts them at a higher risk of developing neurodegenerative diseases such as dementia and Alzheimer's. Little research has been conducted on community knowledge and perceptions of dementia in rural settings in Kenya.

Method: Community health volunteers, healthcare workers (HCWs), chiefs and assistant chiefs (n = 35) participated in five focus group discussions, each comprising seven- eight people.

View Article and Find Full Text PDF

Words before pictures: the role of language in biasing visual attention.

Front Psychol

December 2024

Department of Developmental Psychology and Socialization, University of Padova, Padua, Italy.

Background: The present study investigated whether semantic processing of word and object primes can bias visual attention using top-down influences, even within an exogenous cueing framework. We hypothesized that real words and familiar objects would more effectively bias attentional engagement and target detection than pseudowords or pseudo-objects, as they can trigger prior knowledge to influence attention orienting and target detection.

Methods: To examine this, we conducted two web-based eye-tracking experiments that ensured participants maintained central fixation on the screen during remote data collection.

View Article and Find Full Text PDF

Background: Rheumatology has experienced notable changes in the last decades. New drugs, including biologic agents and Janus kinase (JAK) inhibitors, have blossomed. Concepts such as window of opportunity, arthralgia suspicious for progression, or difficult-to-treat rheumatoid arthritis (RA) have appeared; and new management approaches and strategies such as treat-to-target have become popular.

View Article and Find Full Text PDF

Objective: To detect and classify features of stigmatizing and biased language in intensive care electronic health records (EHRs) using natural language processing techniques.

Materials And Methods: We first created a lexicon and regular expression lists from literature-driven stem words for linguistic features of stigmatizing patient labels, doubt markers, and scare quotes within EHRs. The lexicon was further extended using Word2Vec and GPT 3.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!