Does the registry speak your language? A case study of the Global Angelman Syndrome Registry

Global disease registries are critical to capturing common patient related information on rare illnesses, allowing patients and their families to provide information about their condition in a safe, accessible, and engaging manner that enables researchers to undertake critical research aimed at improving outcomes. Typically, English is the default language of choice for these global digital health platforms. Unfortunately, language barriers can significantly inhibit participation from non-English speaking participants. In addition, there is potential for compromises in data quality and completeness. In contrast, multinational commercial entities provide access to their websites in the local language of the country they are operating in, and often provide multiple options reflecting ethnic diversity. This paper presents a case study of how the Global Angelman Syndrome Registry (GASR) has used a novel approach to enable multiple language translations for its website. Using a "semi-automated language translation" approach, the GASR, which was originally launched in English in September 2016, is now available in several other languages. In 2020, the GASR adopted a novel approach using crowd-sourcing and machine translation tools leading to the availability of the GASR in Spanish, Traditional Chinese, Italian, and Hindi. As a result, enrolments increased by 124% percent for Spain, 67% percent for Latin America, 46% percent for Asia, 24% for Italy, and 43% for India. We describe our approach here, which we believe presents an opportunity for cost-effective and timely translations responsive to changes to the registry and helps build and maintain engagement with global disease communities.

The process and challenges of language translation and cultural adaptation of study instruments: a case study from the NIDA CTN CHOICES-2 trial

BACKGROUND

As the U.S. grows more diverse, researchers decide how to include non-English speakers. Budget limitations may not allow for translation of all instruments. Study teams must determine which instruments must receive certified translations. This paper describes the procedures utilized in one U.S.-based, multi-site clinical trial to decide which study instruments should undergo certified translation and discusses dialect review procedures.

METHODS

The team determined which instruments (n = 31) would be translated using a qualitative evaluation to determine the need to obtain a Spanish-language certified translation: 1) "Could the meaning of these questions change (and potentially elicit a different response) if the translations were not consistent?" and 2) "Is it acceptable to have potential inconsistencies in these data?" Instruments for which question 1 was "yes" and question 2 was "no" (e.g., eligibility, outcomes, safety) were marked for certified translation. A dialect committee reviewed all translated patient-reported outcome measures to ensure that the translations had accounted for different meanings of words based on respondents' countries or regions of origin and recommended changes where necessary.

RESULTS

Fourteen interview-based instruments underwent certified forward-only translation into U.S. Spanish. The remaining 2 interview-based instruments were translated via real-time conversation with participants by bilingual staff. Six forms were administrative and not translated. Five out of 9 professionally translated patient-reported outcome measures were amended to better reflect relevant dialects.

CONCLUSIONS

In the absence of specific guidance, it is feasible for study team members to 1) determine which instruments should undergo certified translation and 2) incorporate dialect into translations.

Translating gene drive science to promote linguistic diversity in community and stakeholder engagement

Information about genetic engineering (GE) for vector control in the United States is disseminated primarily in English, though non-English speakers are equally, and in some geographic regions even more affected by such technologies. Non-English-speaking publics should have equal access to such information, which is especially critical when the technology in question may impact whole communities. We convened an interdisciplinary workgroup to translate previously developed narrated slideshows on gene drive mosquitoes from English into Spanish, reviewing each iteration for scientific accuracy and accessibility to laypeople. Using the finalised stimuli, we conducted five online, chat-based focus groups with Spanish-speaking adults from California. Overall, participants expressed interest in the topic and were able to summarise the information presented in their own words. Importantly, participants asked for clarification and expressed scepticism about the information presented, indicating critical engagement with the material. Through collaboration with Spanish-speaking scientists engaged in the development of GE methods of vector control, we translated highly technical scientific information into Spanish that successfully engaged Spanish-speaking participants in conversations about this topic. In this manuscript, we document the feasibility of consulting Spanish-speaking publics about a complex emerging technology by drawing on the linguistic diversity of the scientific teams developing the technology.

A real-time virtual machine for task placement in loosely-coupled computer systems

Nowadays, virtualization and real-time systems are increasingly relevant. Real-time virtual machines are adequate for closely-coupled computer systems, execute tasks from associated language only and re-target tasks to the new platform at runtime. Complex systems in space, avionics, and military applications usually operate with Loosely-Coupled Computer Systems in a real-time environment for years. In this paper, a new approach is introduced to support task transfer between loosely-coupled computers in a real-time environment to add more features without software upgrading. The approach is based on automatic source code transformation into a platform-independent “Structured Byte-Code” (SBC) and a real-time virtual machine (SBC-RVM). Unlike Ordinary virtual machines which virtualize a specific processor for a specific code only, SBC-RVM transforms source code from any language with a known grammar into SBC without re-targeting the new platform. SBC-RVM executes local or placed tasks and preserving real-time constraints and adequate for Loosely-coupled computer systems.

Methodological considerations when translating "burnout"

No study has systematically examined how researchers address cross-cultural adaptation of burnout. We conducted an integrative review to examine how researchers had adapted the instruments to the different contexts. We reviewed the Content Validity Indexing scores for the Maslach Burnout Inventory-Human Services Survey from the 12-country comparative nursing workforce study, RN4CAST. In the integrative review, multiple issues related to translation were found in existing studies. In the cross-cultural instrument analysis, 7 out of 22 items on the instrument received an extremely low kappa score. Investigators may need to employ more rigorous cross-cultural adaptation methods when attempting to measure burnout.