- Research article
- Open Access
- Open Peer Review
Simplified Chinese translation of 13 adult item banks from the Quality of Life in Neurological Disorders (Neuro-QoL)
BMC Health Services Research volume 18, Article number: 825 (2018)
The Quality of Life in Neurological Disorders (Neuro-QoL) item banks evaluate and monitor the physical, mental, and social health of individuals with neurological conditions. Neuro-QoL items can be administered via short form or computerized adaptive testing. This paper describes the English-to-Simplified Chinese translation of 299 items from 13 adult item banks, which are publicly available.
Items were translated according to the Functional Assessment of Chronic Illness Therapy (FACIT) method, including forward and backward translation, reconciliation, expert reviews, and cognitive debriefing with both general and clinical populations in China.
Most of the 299 Simplified Chinese items were well understood by the respondents. Revisions were made on a small number of items after cognitive debriefing. Although some difficulties were encountered in the translation process, all 13 item banks were linguistically validated with acceptable translations.
All Chinese adult Neuro-QoL measures are linguistically equivalent to their English sources. Future work includes psychometric validation of these measures in order to create a final version of the item banks. The translation methodology used in this study can serve as a blueprint for researchers in other countries interested in translating the Neuro-QoL.
Neurological disorders can influence one’s health-related quality of life (HRQoL) in different domains. Precise measurement that evaluates different aspects of HRQoL provides a fuller understanding of the effects of disease or treatment on the patient [1, 2]. Nevertheless, many assessments have been developed to measure a single construct, which makes it difficult to obtain a comprehensive profile of individual patients [3,4,5]. Although some measures cover multiple domains, they are burdensome for patients because they are either too long or contain irrelevant questions . The Quality of Life in Neurological Disorders (Neuro-QoL), a patient-reported outcome (PRO) measurement system covering multiple aspects of HRQoL of individuals with neurological disorders, was established to address these issues [7,8,9].
The Neuro-QoL project, sponsored by the United States (U.S.) National Institute of Neurological Disorders and Stroke (NINDS), aimed to develop a clinically relevant, bilingual (English & Spanish), and psychometrically robust PRO for adults and children with neurological disorders in the U.S. [7, 10]. Various domains of the Neuro-QoL were identified using extensive literature review, in-depth expert interviews, and focus groups. The final domains in the adult version were developed for five neurological conditions: stroke, multiple sclerosis, Parkinson’s disease, epilepsy, and amyotrophic lateral sclerosis. The psychometric properties of each domain were evaluated with item response theory (IRT) methods to enhance precision and efficiency [8, 11, 12]. The adult assessment is composed of 17 domains, 13 of which are tested and publicly available. IRT enables the creation of item banks (i.e., a collection of items measuring a single domain, such as depression). This approach allows for assessments to be administered in fixed-length short forms (SFs) or computerized adaptive tests (CATs) [11, 13,14,15]. The CAT approach allows for a tailored, computer-assisted assessment in which questions are determined by an individual’s response to previous questions. Thus, an individual’s domain level (the score on the instrument) is estimated based on the response given to each question. When the estimation reaches a pre-defined precision level, the computer stops asking questions and estimates the individual’s final domain level. Moreover, the Neuro-QoL uses standardized scores known as T-scores, which can be evaluated against a reference population. Using this metric, a score of 50 is the average of the reference population, with a standard deviation of 10. Thus, a score of 60 means that the individual is 1 standard deviation above the reference population. This common metric approach enables researchers to compare results of one individual to those of another. Additional details and updates including definitions, translation, administration, and score interpretations are available at https://www.assessmentcenter.net/.
In addition to the original English version, 12 adult and 11 child item banks were translated into Spanish for use in the U.S. and in Spanish-speaking countries or regions (e.g., Puerto Rico, Mexico, Argentina, Colombia, Spain). In 2015, the Simplified Chinese Neuro-QoL working group adopted and implemented the Neuro-QoL in China. The working group involved a group of outcome scientists, neurorehabilitation and physical medicine professionals, and language translation coordinators. This paper describes the linguistic translation and cultural adaptation of 13 Neuro-QoL item banks for use by adults in China. These item banks were chosen because they were publicly available, and translation authorization was granted by the Neuro-QoL project PI and co-author (D.C.) for this validation process.
The 13 item banks have a total of 299 items (Table 1). They were translated according to the Functional Assessment of Chronic Illness in Therapy (FACIT) translation methodology, which employs a universal approach to translation and cross-cultural validation [16, 17]. It consists of forward and back translations, multiple reviews, and pilot testing with cognitive debriefing. These methods ensure semantic, conceptual, and cultural equivalence between the original English and the Simplified Chinese versions. The present study protocol was approved by the Ethics Committee of The Affiliated Rehabilitation Hospital of Fujian University of Traditional Chinese Medicine (2016KY-023-01). Informed consent was obtained from all participants included in the study. Below we describe the seven steps we took to translate the Neuro-QoL.
Step 1: Forward Translation
The original source (i.e., English-language Neuro-QoL item banks) was translated independently by two bilingual translators (native Mandarin speakers) with experience in PRO research. They were instructed to give a response to each item and use simple language to capture the meaning of the original item rather than a literal, word-by-word translation. Item definitions were provided to clarify the intended meanings of the concepts.
Step 2: Reconciliation
A third Mandarin-speaking professional translator reconciled the two forward translations. He was instructed to avoid slang terms and region-specific expressions. He selected the best translation or gave an alternate version, if necessary, to convey the clearest meaning of the items.
Step 3: Back Translation
A fourth bilingual translator who was blind to the original English version back-translated the reconciled version into English.
Step 4: Compare Back Translation to Source
The working group consisting of one physician and three occupational and physical therapists working in neurorehabilitation units compared the back translation with the original English source. The back translation should reflect the same meaning as the original source. Coherence and influence of the back translation were reviewed. Discrepancies were identified for discussion during the expert review.
Step 5: Expert Review
Seven bilingual experts in neurorehabilitation and PRO research examined all previous steps and evaluated the acceptability of the translated items. They were asked to evaluate the equivalence, relevance, and representativeness of each item independently and provide alternative translations. For each of the discrepancy items identified in Step 4, they were asked to give a proper translation and provide the justification. Afterward, all experts discussed unacceptable items to reach a consensus.
Step 6: Harmonization, Quality Control, and Proofreading
The working group evaluated experts’ recommendations to make the pre-final translation. They assessed the equivalence and consistency across items and verified that documentation of the decision-making process was complete. Two proofreaders independently examined items for any remaining linguistic issues. The working group refined and documented these items accordingly.
Step7: Cognitive Interviews
Cognitive interviews were completed with 20 Mandarin-speaking individuals to determine whether the respondents accurately understood the intended meaning of each item. The average age of respondents was 58 years old (SD = 13.8, range: 21–78). Ten respondents were from the general population living near the University, and 10 were inpatients of The Affiliated Rehabilitation Hospital of Fujian University of Traditional Chinese Medicine (3 diagnosed with cerebral infarction, 3 diagnosed with cerebral hemorrhage, 2 diagnosed with traumatic brain injury, and 2 diagnosed with spinal cord injury). Men comprised 60% of the general and clinical samples. The majority of participants in the sample were married (general = 6, clinical = 7) and completed primary education or had no formal education (general = 7, clinical = 7). The majority of the clinical sample (60%) was unemployed or retired, whereas the majority of the general sample (60%) was employed full-time. We did not test the readability of the translated items. Nevertheless, we assume that all items could be comprehended by those with low literacy because the majority of the sample (70%) only completed primary education or had no formal education.
The goal of cognitive interviews was to examine how the participant interpreted each item or responded in terms of comprehension of what the item was asking. To achieve this goal, each respondent completed all Neuro-QoL items independently. Then, the interviewer reviewed each item stem and item response with the respondent and began the interview using a debriefing script. Probes were used to elicit feedback about the item phrasing, response category, instruction, and recall period. In some instances, respondents were asked why they selected a specific response and were invited to offer alternative item wordings. After each interview, the interviewer completed a summary statement with all comments for each item. The translation team reviewed all comments to determine whether any revisions should be made.
Analysis and finalization
Respondents’ comments in the cognitive interviews were analyzed. Translations of the items were revised when the item difficulty or respondents’ comments revealed a potential misunderstanding of the intended meaning. Overall, most items obtained an acceptable Simplified Chinese translation, and no item bank stood out as being more problematic than another. An example of the entire translation process for one item is provided in Table 2.
We also identified numerous challenges in the translation process, including:
Past tense representation: the original English version asks about respondents’ past behaviors by use of the past tense. Simplified Chinese items did not distinguish between present and past tense. Specific timing words were used to reflect past tense, such as“了.”
Influence of idiomatic Chinese: this was evident in the understanding of the term “I felt.” Mandarin speakers could interpret the term as “我觉得”or “我感到.” Although the two phrases do not have a significant conceptual difference, the latter was chosen because it is used more often in everyday communication.
Subtle semantic difference of possible translations: in Simplified Chinese, no substantial distinction is made between “nervous” and “tense,” whereas both words are used in the original English Anxiety item bank to indicate different nuances in the experience of anxiety. The translation of these words in Simplified Chinese literally means “紧张.” To clarify the subtle difference in expression, “nervous” was translated into “精神紧张,” and “tense” was translated into “身体紧绷,” given that the word “nervous” describes a mental representation of the anxious experience, whereas “tense” describes a somatic representation of that experience.
Ambiguity of translated items: for example, an item in the original English Fatigue item bank, “I need to sleep during the day,” was not understood by the Mandarin-speaking Chinese respondents because time to rest after lunch is a constitutional right, and daytime napping is not uncommon; thus, “I need to sleep during the day,” does not necessarily indicate fatigue. Instead, an elaborated phrase, “I am so tired,” was added to clarify the intended meaning: “我累得需要在白天睡觉” (“I am so tired that I need to sleep during the day”).
Morphology of language: the order of words was considered inappropriate if the sentence was directly translated verbatim from the original source. For example, the original English item, “In most ways my life is close to my ideal,” was translated as “我的人生在大多数情况下接近我的理想” (“My life is close to my ideal in most ways”). Articles (i.e., “a,” “an,” and “the”) were not translated.
This study completed the first translation of 13 adult Neuro-QoL item banks from English to Simplified Chinese. It also presented the first completed large-scale Neuro-QoL translation performed outside of the U.S. We followed a rigorous, multi-step translation methodology that follows international guidelines for the linguistic validation of PROs for non-English-speaking populations . This methodology incorporates input from bilingual translators and includes pre-testing with cognitive debriefing to ensure that items are conceptually equivalent to the English source and are culturally appropriate to a Mandarin-speaking Chinese population. Although we encountered some difficulties throughout this process, we ultimately achieved cultural equivalence for these items.
While present findings support Chinese measures that are linguistically equivalent to the original English versions, the extent to which they are psychometrically comparable remains to be determined. The Simplified Chinese items have been administered to a calibration sample of over 1000 Mandarin-speaking adults in China. Calibration of the Simplified Chinese items by following standardized psychometric validation methods with the original English version , such as confirmatory factor analysis (CFA), IRT-based item calibration, and differential item functioning (DIF), is underway. After the calibration is considered final, all Simplified Chinese fixed-length short forms will be available for use and download via Health Measures, the official website for the Neuro-QoL and other measurement systems (https://www.assessmentcenter.net/).
We recommend the use of Neuro-QoL item banks in future Chinese studies after we confirm that the psychometric properties of the Simplified Chinese item banks are comparable to those of the original versions. Future research on these validation procedures will increase confidence in their use.
Use of the Neuro-QoL has clear benefits over many traditional questionnaires developed by the classical test theory approach. First, the Neuro-QoL item banks were psychometrically tested using modern statistical (IRT) methods. This approach enables assessment with smaller measurement error (better precision) and can reduce sample size requirements in studies. Neuro-QoL measures are also responsive to change, making them suitable for use in routine clinical practice and for benchmarking [11, 12, 19]. Furthermore, the development of the Neuro-QoL included extensive participant and expert input, increasing the acceptability of clinical utilization [8, 20, 21]. The scoring of the Neuro-QoL item banks is expressed on a common metric (mean T-score of 50 and standard deviation of 10), which facilitates comparisons of findings across patients and between studies [20, 22]. To facilitate the use of Neuro-QoL item banks in China, we recommend the use of the CAT platform. Increasing technological access and high-speed internet will enhance the feasibility of using CAT in outcome assessments for both clinical research and practice. However, the best way to implement CAT administration of the Neuro-QoL in various clinical populations and settings deserves further investigation. The present study is our initial step to ensure the conceptual and semantic equivalence between Simplified Chinese and English measures. Validation studies of these translated measures are ongoing. After the psychometric properties of translated measures are tested, cross-cultural validation of the Chinese- and English-language measures will continue for international comparisons of HRQoL studies.
Neuro-QoL items have been linguistically validated with acceptable translations to Simplified Chinese. The intended meanings and concepts of these translated instruments are the same when compared to the original English versions. After we confirm the psychometric properties of these translated measures in future studies, it is expected that the Neuro-QoL may be used worldwide, which will facilitate international comparison research in areas of neurology and rehabilitation. Second, the translation methodology described in this paper will provide a template for researchers in other countries interested in translating the Neuro-QoL and other outcome measures.
Computerized adaptive test
Confirmatory factor analysis
Differential item functioning
The Functional Assessment of Chronic Illness in Therapy
Health-related quality of life
Item response theory
The Quality of Life in Neurological Disorders
The People’s Republic of China
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This study was supported by the 12th Five-Year Plan supporting project of the Ministry of Science and Technology of the People’s Republic of China (2013BAI10B01). The last author’s (A.W.K.W.’s) effort was supported in part by the National Institutes of Health, USA (K12HD055931 and P2CHD065702) and the Craig H. Neilsen Foundation, USA (290474 and 542448). The content of this publication is solely the responsibility of the authors and does not necessarily represent the official views of the Ministry of Science and Technology of the People’s Republic of China, the National Institutes of Health, or the Craig H. Neilsen Foundation. Additionally, we would like to acknowledge Megen Devine at Washington University School of Medicine for her editorial assistance.
This study was supported in part by the 12th Five-Year Plan supporting project of the Ministry of Science and Technology of the People’s Republic of China to Fujian University of Traditional Chinese Medicine, China (2013BAI10B01); and by the National Institute on Disability and Rehabilitation Research, USA (H133F140037) and the Craig H. Neilsen Foundation, USA (290474 and 542448) to Washington University in St. Louis.
Availability of data and materials
Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study. Electronic copies of the transcribed interviews from this qualitative study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Ethical approvals have been granted by the ethics committee of The Affiliated Rehabilitation Hospital of Fujian University of Traditional Chinese Medicine (2016KY-023-01; approval received in November, 2016). Written informed consent was obtained from all individual participants included in the study.
Consent for publication
The authors declare that they have no competing interests.
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