Pursuance of a Yoruba name for cervical cancer in Southwest Nigeria: a case study.

OBJECTIVES: Participants' comprehension of research process affects the quality of research output, which is the reason why translation of research instruments into local languages is standard practice. Literature has consistently reported that in Africa, knowledge about cervical cancer is low but paradoxically, expressed, and actual uptake of human papillomavirus vaccine for its prevention is high. This study explored the Yoruba names of cervical cancer among Yoruba people in Ibadan, Nigeria to guide the translation of cervical cancer research instruments to Yoruba language. DESIGN: Exploratory case study design was used and data were obtained with 10 in-depth interviews and four focused group discussions. Data were analysed using content analysis. SETTINGS: The study took place in Ibadan North local government area, Southwest Nigeria. PARTICIPANTS: These were 4 traditional healers, 3 Yoruba linguists, 3 public health educators and 38 parents of adolescents. MEASURES: These were Yoruba names for cervical cancer and their meanings. RESULTS: Participants were aware of cervical cancer but only the traditional healers and public health educators had names for it. These names were highly varied. The public health educators gave names that were linked with different parts of the female reproductive system and external genital which were actually different medical conditions. Each traditional healer also had different names for cervical cancer, which either described the female body parts, or symptoms of female genital infections. These various names can lead to unnecessary misconceptions and misinformation about cervical cancer, its prevention, management, and research. CONCLUSIONS: There was no consensus Yoruba name for cervical cancer among the study participants. Efforts to educate the Yoruba speaking populace about cervical cancer, its prevention, management and participation in its research can be frustrated if a generally accepted Yoruba name is not provided for this cancer. Stakeholders' collaboration is required to get an appropriate Yoruba name for cervical cancer.

Performance of ChatGPT on Chinese Master's Degree Entrance Examination in Clinical Medicine.

BACKGROUND: ChatGPT is a large language model designed to generate responses based on a contextual understanding of user queries and requests. This study utilised the entrance examination for the Master of Clinical Medicine in Traditional Chinese Medicine to assesses the reliability and practicality of ChatGPT within the domain of medical education. METHODS: We selected 330 single and multiple-choice questions from the 2021 and 2022 Chinese Master of Clinical Medicine comprehensive examinations, which did not include any images or tables. To ensure the test's accuracy and authenticity, we preserved the original format of the query and alternative test texts, without any modifications or explanations. RESULTS: Both ChatGPT3.5 and GPT-4 attained average scores surpassing the admission threshold. Noteworthy is that ChatGPT achieved the highest score in the Medical Humanities section, boasting a correct rate of 93.75%. However, it is worth noting that ChatGPT3.5 exhibited the lowest accuracy percentage of 37.5% in the Pathology division, while GPT-4 also displayed a relatively lower correctness percentage of 60.23% in the Biochemistry section. An analysis of sub-questions revealed that ChatGPT demonstrates superior performance in handling single-choice questions but performs poorly in multiple-choice questions. CONCLUSION: ChatGPT exhibits a degree of medical knowledge and the capacity to aid in diagnosing and treating diseases. Nevertheless, enhancements are warranted to address its accuracy and reliability limitations. Imperatively, rigorous evaluation and oversight must accompany its utilization, accompanied by proactive measures to surmount prevailing constraints.

MedChatZH: A tuning LLM for traditional Chinese medicine consultations.

Generative Large Language Models (LLMs) have achieved significant success in various natural language processing tasks, including Question-Answering (QA) and dialogue systems. However, most models are trained on English data and lack strong generalization in providing answers in Chinese. This limitation is especially evident in specialized domains like traditional Chinese medical QA, where performance suffers due to the absence of fine-tuning and high-quality datasets. To address this, we introduce MedChatZH, a dialogue model optimized for Chinese medical QA based on transformer decoder with LLaMA architecture. Continued pre-training on a curated corpus of Chinese medical books is followed by fine-tuning with a carefully selected medical instruction dataset, resulting in MedChatZH outperforming several Chinese dialogue baselines on a real-world medical dialogue dataset. Our model, code, and dataset are publicly available on GitHub (https://github.com/tyang816/MedChatZH) to encourage further research in traditional Chinese medicine and LLMs.

The melody of language learning at intermediate and upper levels: an emphasis on free discussion panels as an indispensable part of language classes and the effects on willingness to communicate, growth mindfulness, and autonomy.

This qualitative study investigated the impact of discussion panels on language education, focusing on willingness to communicate (WTC), growth mindfulness, and autonomy among Chinese learners at intermediate and upper-intermediate proficiency levels. The study, conducted in Hebei, China, involved 27 learners, with 14 in the experimental group exposed to discussion panels and 13 in the control group receiving traditional teacher-fronted lessons. The research design employed semi-structured interviews, observations, and document analysis for data collection, analyzed manually through thematic analysis. Results revealed that learners in the experimental group exhibited heightened WTC, increased growth mindfulness, and greater autonomy compared to the control group. The discussion panels facilitated authentic language use, collaborative discourse, and turn-taking, aligning with communication theory, sociocultural theory (SCT), and learner-centered pedagogy. Findings also resonated with the significance of WTC in language learning, supported by established theories. Additionally, the study contributes to the growing literature on the intersection of mindfulness, autonomy, and language education. Implications for language teachers, policy-makers, syllabus-designers, and materials developers are discussed, emphasizing the potential benefits of integrating discussion panels. The study concludes with insights into limitations, suggestions for further research, and a call for pedagogical innovation to enhance language learning experiences.

Piloting a language translation device for Mandarin-speaking patients presenting for radiotherapy treatment-assessing patient and radiation therapist perspectives.

PURPOSE: Culturally and linguistically diverse (CALD) cancer patients report unmet informational and emotional needs when receiving radiotherapy (RT). This feasibility study aimed to evaluate the clinical use of an instant translation device (ITD) to facilitate communication between Mandarin-speaking patients and radiation therapists (RTTs) within the Australian public RT setting. The primary aim was to assess the ability to convey information relating to daily patient care and build rapport using the device. METHODS: A single-arm prospective interventional trial was employed with patient and RTT participants. Eligible patient participants were aged 18 years or older, diagnosed with cancer, referred for RT with self-reported Mandarin as the primary language spoken at home. Patients who had previously received RT were excluded. Consenting patient participants completed a baseline assessment of health literacy (REALM-SF) and English proficiency (LexTALE). Surveys were administered to patients and consenting RTTs at the cessation of treatment, forming two distinct participant groups. Descriptive statistics were used to compare participant groups. RESULTS: Eleven patients and 36 RTTs were recruited to the study. Descriptive statistics demonstrated participant group agreement in conveying treatment instructions, though differing experiences were reported against general conversation. Although the reporting of technical difficulties was inconsistent, both groups recommended the application of the ITD within the RT domain. CONCLUSION: This feasibility study demonstrated encouraging accounts of patients and RTTs with regard to ITD use in the context of RT treatment. Expanded, multi-institutional recruitment is required to yield statistical significance, inform the impact of the device, and determine requisite training requirements. TRIAL REGISTRATION: HREC reference number: LNR/18/PMCC/115 (18/100L). HREC approval date: 10 July 2018.

Graph neural networks for clinical risk prediction based on electronic health records: A survey.

OBJECTIVE: This study aims to comprehensively review the use of graph neural networks (GNNs) for clinical risk prediction based on electronic health records (EHRs). The primary goal is to provide an overview of the state-of-the-art of this subject, highlighting ongoing research efforts and identifying existing challenges in developing effective GNNs for improved prediction of clinical risks. METHODS: A search was conducted in the Scopus, PubMed, ACM Digital Library, and Embase databases to identify relevant English-language papers that used GNNs for clinical risk prediction based on EHR data. The study includes original research papers published between January 2009 and May 2023. RESULTS: Following the initial screening process, 50 articles were included in the data collection. A significant increase in publications from 2020 was observed, with most selected papers focusing on diagnosis prediction (n = 36). The study revealed that the graph attention network (GAT) (n = 19) was the most prevalent architecture, and MIMIC-III (n = 23) was the most common data resource. CONCLUSION: GNNs are relevant tools for predicting clinical risk by accounting for the relational aspects among medical events and entities and managing large volumes of EHR data. Future studies in this area may address challenges such as EHR data heterogeneity, multimodality, and model interpretability, aiming to develop more holistic GNN models that can produce more accurate predictions, be effectively implemented in clinical settings, and ultimately improve patient care.

Effect of musical expertise on the perception of duration and pitch in language: A cross-linguistic study.

This study adopts a cross-linguistic perspective and investigates how musical expertise affects the perception of duration and pitch in language. Native speakers of Chinese (N = 44) and Estonian (N = 46), each group subdivided into musicians and non-musicians, participated in a mismatch negativity (MMN) experiment where they passively listened to both Chinese and Estonian stimuli, followed by a behavioral experiment where they attentively discriminated the stimuli in the non-native language (i.e., Chinese to Estonian participants and Estonian to Chinese participants). In both experiments, stimuli of duration change, pitch change, and duration plus pitch change were discriminated. We found higher behavioral sensitivity among Chinese musicians than non-musicians in perceiving the duration change in Estonian and higher behavioral sensitivity among Estonian musicians than non-musicians in perceiving all types of changes in Chinese, but no corresponding effect was found in the MMN results, which suggests a more salient effect of musical expertise on foreign language processing when attention is required. Secondly, Chinese musicians did not outperform non-musicians in attentively discriminating the pitch-related stimuli in Estonian, suggesting that musical expertise can be overridden by tonal language experience when perceiving foreign linguistic pitch, especially when an attentive discrimination task is administered. Thirdly, we found larger MMN among Chinese and Estonian musicians than their non-musician counterparts in perceiving the largest deviant (i.e., duration plus pitch) in their native language. Taken together, our results demonstrate a positive effect of musical expertise on language processing.

Strategies to improve care for older adults who present to the emergency department: a systematic review.

BACKGROUND: The aim of this systematic review was to examine the relationship between strategies to improve care delivery for older adults in ED and evaluation measures of patient outcomes, patient experience, staff experience, and system performance. METHODS: A systematic review of English language studies published since inception to December 2022, available from CINAHL, Embase, Medline, and Scopus was conducted. Studies were reviewed by pairs of independent reviewers and included if they met the following criteria: participant mean age of ≥ 65 years; ED setting or directly influenced provision of care in the ED; reported on improvement interventions and strategies; reported patient outcomes, patient experience, staff experience, or system performance. The methodological quality of the studies was assessed by pairs of independent reviewers using The Joanna Briggs Institute critical appraisal tools. Data were synthesised using a hermeneutic approach. RESULTS: Seventy-six studies were included in the review, incorporating strategies for comprehensive assessment and multi-faceted care (n = 32), targeted care such as management of falls risk, functional decline, or pain management (n = 27), medication safety (n = 5), and trauma care (n = 12). We found a misalignment between comprehensive care delivered in ED for older adults and ED performance measures oriented to rapid assessment and referral. Eight (10.4%) studies reported patient experience and five (6.5%) reported staff experience. CONCLUSION: It is crucial that future strategies to improve care delivery in ED align the needs of older adults with the purpose of the ED system to ensure sustainable improvement effort and critical functioning of the ED as an interdependent component of the health system. Staff and patient input at the design stage may advance prioritisation of higher-impact interventions aligned with the pace of change and illuminate experience measures. More consistent reporting of interventions would inform important contextual factors and allow for replication.

Consore: A Powerful Federated Data Mining Tool Driving a French Research Network to Accelerate Cancer Research.

BACKGROUND: Real-world data (RWD) related to the health status and care of cancer patients reflect the ongoing medical practice, and their analysis yields essential real-world evidence. Advanced information technologies are vital for their collection, qualification, and reuse in research projects. METHODS: UNICANCER, the French federation of comprehensive cancer centres, has innovated a unique research network: Consore. This potent federated tool enables the analysis of data from millions of cancer patients across eleven French hospitals. RESULTS: Currently operational within eleven French cancer centres, Consore employs natural language processing to structure the therapeutic management data of approximately 1.3 million cancer patients. These data originate from their electronic medical records, encompassing about 65 million medical records. Thanks to the structured data, which are harmonized within a common data model, and its federated search tool, Consore can create patient cohorts based on patient or tumor characteristics, and treatment modalities. This ability to derive larger cohorts is particularly attractive when studying rare cancers. CONCLUSIONS: Consore serves as a tremendous data mining instrument that propels French cancer centres into the big data era. With its federated technical architecture and unique shared data model, Consore facilitates compliance with regulations and acceleration of cancer research projects.

Trust in Conventional Healthcare and Utilization of Complementary and Alternative Medicine in South Tyrol, Italy: A Population-Based Cross-Sectional Survey.

Background: This study explored the link between trust in conventional healthcare and consultations with complementary and alternative medicine (CAM) providers in South Tyrol, Italy's linguistically diverse region. Methods: A representative cross-sectional survey of 1,388 South Tyrolean adults assessed trust in conventional healthcare, general practitioners, and complementary and alternative medicine consultation frequencies and their determinants using chi-square tests and Kendall-Tau-b correlations. Results: Seventy percent trusted the traditional healthcare system, with general practitioners as the primary trusted professionals. Trust is correlated with higher education and linguistic compatibility. A 5% subgroup, mostly women and multilinguals with lower education levels, showed uncertain trust. Over 80% had seen a general practitioner in the last year, while distrust was correlated with complementary and alternative medicine consultations. German and Ladin speakers, with higher education levels, were notably inclined towards complementary and alternative medicine consultations. Conclusions: Trust in South Tyrolean healthcare varied according to education level and language. While general practitioners remain central, there is a marked shift towards complementary and alternative medicine among specific groups.

Should I stay or should I go? The cerebral bases of street-crossing decision.

An observer willing to cross a street must first estimate if the approaching cars offer enough time to safely complete the task. The brain areas supporting this perception, known as Time-To-Contact (TTC) perception, have been mainly studied through noninvasive correlational approaches. We carried out an experiment in which patients were tested during an awake brain surgery electrostimulation mapping to examine the causal implication of various brain areas in the street-crossing decision process. Forty patients were tested in a gap acceptance task before their surgery to establish a baseline performance. The task was individually adapted upon this baseline level and carried out during their surgery. We acquired and normalized to MNI space the coordinates of the functional areas that influenced task performance. A total of 103 stimulation sites were tested, allowing to establish a large map of the areas involved in the street-crossing decision. Multiple sites were found to impact the gap acceptance decision. A direct implication was however found mostly for sites within the right parietal lobe, while indirect implication was found for sites within the language, motor, or attentional networks. The right parietal lobe can be considered as causally influencing the gap acceptance decision. Other positive sites were all accompanied with dysfunction in other cognitive functions, and therefore should probably not be considered as the site of TTC estimation.

Somali immigrant women's knowledge of and experiences with folic acid supplement use before and during pregnancy: A qualitative study from Norway.

INTRODUCTION: Health authorities in many countries recommend that women should take folic acid supplements before and during pregnancy to prevent having babies with neural tube defects. Somali immigrant women in Norway use less folic acid supplements than the recommended amount and subsequently, less than Norwegian-born women. OBJECTIVES: To explore Somali immigrant women's knowledge of and experiences with using folic acid supplements before and during pregnancy. METHODS: Data were collected through semi-structured individual interviews with ten Somali immigrant women in Norway. The participants were recruited and interviewed between September and November 2019. Graneheim and Lundmans qualitative content analysis was used for data analysis. RESULTS: Two main themes were developed through the process of analysing the data: 1) Attitudes to life and pregnancy affect how health care advice is met; 2) Understanding the benefits of folic acid is crucial. CONCLUSIONS: The women in this study had varied knowledge about, and experiences with the use of folic acid supplements before and during pregnancy. The findings suggest that the healthcare system needs to adapt the information it provides on folic acid supplementation to target the needs of Somali immigrant women. In line with suggestions from the study participants, information needs to be given in a timely manner, by someone they trust, in their first language, include visual aids, and be offered to all women of childbearing age before their first pregnancy.

An ICD for the Digital World: What Does the ICD-11 Research Show?

The 11th revision of the International Classification of Diseases (ICD) is now available for use. A literature search was conducted to review and summarize the research conducted to date. In addition to the ease of integration into electronic health records using standard digital tools such as uniform resource identifiers and application programming interfaces, ICD-11 and the World Health Organization provided linearization for mortality and morbidity, ICD-11-MMS, promise improved backward compatibility to ICD-10; increased availability in multiple languages; greater detail for clinical use, including traditional Chinese medicine; and enhanced maintenance for continued relevance. The studies reviewed here support the superior content and utility of ICD-11-MMS. Meaningful planning for implementation has begun, including the provision of a framework. It is time for the world to adopt a digitally prepared ICD.

Knowledge Graph Enhanced Transformers for Diagnosis Generation of Chinese Medicine.

Chinese medicine (CM) diagnosis intellectualization is one of the hotspots in the research of CM modernization. The traditional CM intelligent diagnosis models transform the CM diagnosis issues into classification issues, however, it is difficult to solve the problems such as excessive or similar categories. With the development of natural language processing techniques, text generation technique has become increasingly mature. In this study, we aimed to establish the CM diagnosis generation model by transforming the CM diagnosis issues into text generation issues. The semantic context characteristic learning capacity was enhanced referring to Bidirectional Long Short-Term Memory (BILSTM) with Transformer as the backbone network. Meanwhile, the CM diagnosis generation model Knowledge Graph Enhanced Transformer (KGET) was established by introducing the knowledge in medical field to enhance the inferential capability. The KGET model was established based on 566 CM case texts, and was compared with the classic text generation models including Long Short-Term Memory sequence-to-sequence (LSTM-seq2seq), Bidirectional and Auto-Regression Transformer (BART), and Chinese Pre-trained Unbalanced Transformer (CPT), so as to analyze the model manifestations. Finally, the ablation experiments were performed to explore the influence of the optimized part on the KGET model. The results of Bilingual Evaluation Understudy (BLEU), Recall-Oriented Understudy for Gisting Evaluation 1 (ROUGE1), ROUGE2 and Edit distance of KGET model were 45.85, 73.93, 54.59 and 7.12, respectively in this study. Compared with LSTM-seq2seq, BART and CPT models, the KGET model was higher in BLEU, ROUGE1 and ROUGE2 by 6.00-17.09, 1.65-9.39 and 0.51-17.62, respectively, and lower in Edit distance by 0.47-3.21. The ablation experiment results revealed that introduction of BILSTM model and prior knowledge could significantly increase the model performance. Additionally, the manual assessment indicated that the CM diagnosis results of the KGET model used in this study were highly consistent with the practical diagnosis results. In conclusion, text generation technology can be effectively applied to CM diagnostic modeling. It can effectively avoid the problem of poor diagnostic performance caused by excessive and similar categories in traditional CM diagnostic classification models. CM diagnostic text generation technology has broad application prospects in the future.

The role of visual imagery in story reading: Evidence from aphantasia.

Aphantasia is a condition in which people are unable to experience visual imagery. Since visual imagery is thought to be key to language processing, we hypothesized the experience of a story would differ between individuals with aphantasia and controls. Forty-seven individuals with aphantasia were compared to fifty-one matched controls on their experience of reading a short story and their general reading habits. Aphantasics were less likely to be engaged with, interested in, and absorbed in the story, and experienced reduced emotional engagement with and sympathy for the story characters, compared to controls. Yet, aphantasics and controls did not differ in how much they liked or appreciated the story, and in general, the reading habits of the two groups also did not differ. Results have implications for embodied theories of language, suggesting visual imagery may influence how a story is experienced, but it is not the only route to story enjoyment.

From the name to the popular image of the plant: the Polish names for the black elder (Sambucus nigra).

The names of plants convey information on their appearance (shape, structure, colour), taste or smell, their uses (practical, ceremonial, magical and medicinal) as well as the beliefs and convictions associated with them. Assuming that the particular features of plants, entrenched in their names, must have been important to language users for some reason, the analysis of plant names can help reconstruct traditional knowledge about plants. The author analyses the standard and dialectal names for the black elder (Sambucus nigra) in Polish, juxtaposing the plant's features revealed in its names (linguistic data) with the cultural accounts associated with the plant ("with-linguistic" data). This allows for the reconstruction of the following features of the plant: (a) the appearance of the shrub, (b) the properties of its fruit, (c) the smell of the plant, (d) the place where it grows, (e) the time of harvesting, (f) its use in folk medicine and (g) the association of the plant with impure powers and diseases. The conducted analyses show that reaching for hard "linguistic evidence" (standard and folk names) makes it possible to compile hierarchies of the characteristics of the plants described. Situating these names against the background of "with-linguistic" data leads to the conclusion that folk nomenclature and folk knowledge enrich and complement each other. The vast number of names for the black elder with different onomasiological bases, presenting different points of view, also demonstrate the relationship between the degree of lexical differentiation and the cultural meaning of the plant. The ethnolinguistic analysis of the names for the black elder (Sambucus nigra), similarly to ethnobotanical studies of folk plant names, provides insights into past and contemporary uses of the plant. Thus, it can provide a starting point for further ethnobotanical research.

Complementary and Integrative Health Information in the literature: its lexicon and named entity recognition.

OBJECTIVE: To construct an exhaustive Complementary and Integrative Health (CIH) Lexicon (CIHLex) to help better represent the often underrepresented physical and psychological CIH approaches in standard terminologies, and to also apply state-of-the-art natural language processing (NLP) techniques to help recognize them in the biomedical literature. MATERIALS AND METHODS: We constructed the CIHLex by integrating various resources, compiling and integrating data from biomedical literature and relevant sources of knowledge. The Lexicon encompasses 724 unique concepts with 885 corresponding unique terms. We matched these concepts to the Unified Medical Language System (UMLS), and we developed and utilized BERT models comparing their efficiency in CIH named entity recognition to well-established models including MetaMap and CLAMP, as well as the large language model GPT3.5-turbo. RESULTS: Of the 724 unique concepts in CIHLex, 27.2% could be matched to at least one term in the UMLS. About 74.9% of the mapped UMLS Concept Unique Identifiers were categorized as "Therapeutic or Preventive Procedure." Among the models applied to CIH named entity recognition, BLUEBERT delivered the highest macro-average F1-score of 0.91, surpassing other models. CONCLUSION: Our CIHLex significantly augments representation of CIH approaches in biomedical literature. Demonstrating the utility of advanced NLP models, BERT notably excelled in CIH entity recognition. These results highlight promising strategies for enhancing standardization and recognition of CIH terminology in biomedical contexts.

Mental Simulations and Action Language Are Impaired in Individuals with Aphantasia.

Action reading is thought to engage motor simulations, such as those involved during the generation of mental motor images. These simulations would yield modulations in activity of motor-related cortical regions and contribute to action language comprehension. To test these ideas, we measured corticospinal excitability during action reading, and reading comprehension ability, in individuals with normal and impaired imagery (i.e., phantasia and aphantasia, respectively). Thirty-four participants (17 phantasic and 17 aphantasic) were asked to read manual action sentences. By means of TMS, we triggered motor-evoked potentials in the target right index finger. Motor-evoked potential amplitude, a marker of corticospinal excitability, increased during action reading relative to rest for phantasic individuals, but not for aphantasic individuals. This result provides neurophysiological evidence that individuals living with aphantasia present a real neurophysiological deficit in motor system engagement during action reading. Furthermore, deep-level reading comprehension ability was impaired in individuals with aphantasia, who had difficulty selecting words that best fit the context of sentences. Altogether, these findings support the idea that motor simulations, along with the activation within the motor system, contribute to action language comprehension.

Translation and validation of the Malay version of modified orthotics and prosthetics users' survey.

BACKGROUND: An excellent validated and reliable instrument is paramount in holistically evaluating the prosthetic and orthotic (P&O) service, encompassing functional outcomes, health-related quality of life (HRQoL), and patient satisfaction with devices and service. OBJECTIVE: To perform a translation and cross-cultural adaptation of 3 modules of the Orthotics and Prosthetics Users' Survey (OPUS): (1) lower-extremity functional status (LEFS), (2) client satisfaction with device and services (CSDS), and (3) HRQoL in Malay language, and analyze its psychometric properties. STUDY DESIGN: Translation and validation study. METHODS: This translation process consisted of 4 phases: (1) a forward-backward translation, (2) content and face validity by utilizing content and face validity indices, (3) pilot testing and psychometric analysis using exploratory factor analysis, and (4) test-retest reliability. RESULTS: One item from OPUS Health Quality of Life Index-Malay pilot version, 5 items from OPUS LEFS-Malay pilot version, and 4 items of OPUS Satisfaction with Device and Services-Malay pilot version were deleted because of poor factor loading of <0.6. The final version of Modified OPUS HRQoL-M, Modified OPUS LEFS-M, and Modified OPUS CSDS-M consisted of 22 items, 15 items, and 17 items, respectively. The final versions of all 3 Modified OPUS Malay version possess good internal consistency of 0.854, 0.927, and 0.98, and intraclass correlation of 0.773, 0.871, and 0.821, respectively . CONCLUSION: Modified OPUS HRQoL-M, Modified OPUS LEFS-M, and Modified OPUS CSDS-M are valid and reliable instruments to be adopted into the local Malaysia population.