Communicating With Spanish-Speaking Families of Hospitalized Children With Medical Complexity.

Background And Objectives: Hospitalized families who use languages other than English (LOE) for care encounter unique communication challenges, as do children with medical complexity (CMC). We sought to better understand communication challenges and opportunities to improve care of families who use LOE from the perspectives of hospital staff and Spanish-speaking parents of CMC.

Methods: This qualitative project involved secondary analysis of transcripts from a study on family safety reporting at 2 quaternary care children's hospitals and additional primary data collection (interviews) of staff and parents.

Creating Culturally Adapted Multilingual Materials for Research.

Patients who speak languages other than English are frequently excluded from research. This exclusion exacerbates inequities, biases results, and may violate federal regulations and research ethics. Language justice is the right to communicate in an individual's preferred language to address power imbalances and promote equity.

Performance of ChatGPT and Google Translate for Pediatric Discharge Instruction Translation.

Background And Objectives: Patients who speak languages other than English face barriers to equitable healthcare delivery. Machine translation systems, including emerging large language models, have the potential to expand access to translation services, but their merits and limitations in clinical practice remain poorly defined. We aimed to assess the performance of Google Translate and ChatGPT for multilingual translation of pediatric discharge instructions.

Validity of the reduced-sample insulin modified frequently-sampled intravenous glucose tolerance test using the nonlinear regression approach.

The disposition index, the product of the insulin sensitivity index (S(I)) and the acute insulin response to glucose, is linked in African Americans to chromosome 11q. This link was determined with S(I) calculated with the nonlinear regression approach to the minimal model and data from the reduced-sample insulin-modified frequently-sampled intravenous glucose tolerance test (Reduced-Sample-IM-FSIGT). However, the application of the nonlinear regression approach to calculate S(I) using data from the Reduced-Sample-IM-FSIGT has been challenged as being not only inaccurate but also having a high failure rate in insulin-resistant subjects.

Bacterial chemotaxis differences in Escherichia coli isolated from different hosts.

The mechanisms mediating the association between Escherichia coli and specific hosts are unknown. This study investigates the hypothesis that the host-specific associations of E. coli strains are mediated in part by differences in chemotaxis.