This study compared language samples from typically developing 4-year-olds who spoke African American English (AAE), Jamaican English (JE), or Mainstream American English (MAE) to assess the value of using language sample analysis (LSA) measures for characterising language use across dialects of English. Specific LSA metrics included mean length of utterance (MLU) in morphemes and in words, the Index of Productive Syntax (IPSyn), Developmental Sentence Scoring (DSS) and measures of lexical diversity. Children demonstrated diverse linguistic patterns across dialects, but a Kruskal-Wallis H test did not reveal significant differences in scores obtained through LSA measures. Notably, the IPSyn captured morphosyntactic structures in each category across dialects where prior research has highlighted limitations. This preliminary study uses a case-based approach to illustrate the applicability of LSAs in describing linguistic variations across children who speak different dialects of English. Moreover, the findings from this study underscore the potential use of LSAs in describing linguistic patterns to support the characterisation of communication profiles for culturally and linguistically diverse children.
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http://dx.doi.org/10.1080/02699206.2024.2374917 | DOI Listing |
BMC Health Serv Res
January 2025
Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA.
Background: This mixed methods study identified needed refinements to a telehealth-delivered cultural and linguistic adaptation of Meaning-Centered Psychotherapy for Chinese patients with advanced cancer (MCP-Ch) to enhance acceptability, comprehensibility, and implementation of the intervention in usual care settings, guided by the Ecological Validity Model (EVM) and the Practical, Robust Implementation and Sustainability Model (PRISM).
Methods: Fifteen purposively sampled mental health professionals who work with Chinese cancer patients completed surveys providing Likert-scale ratings on acceptability and comprehensibility of MCP-Ch content (guided by the EVM) and pre-implementation factors (guided by PRISM), followed by semi-structured interviews. Survey data were descriptively summarized and linked to qualitative interview data.
J Gen Intern Med
January 2025
Department of Medicine, Harvard Medical School, Boston, MA, USA.
Background: Accounting for approximately 1 in 4 community-dwelling adults in the United States (US), people with disabilities (PWD) experience significant disparities in health care quality, access, and outcomes. At the same time, US physicians have reported feeling unprepared to care for PWD and have revealed significant negative bias about this population.
Objective: To understand how physicians are trained to care for PWD in US medical schools.
Updates Surg
January 2025
Alluri Sitarama Raju Academy of Medical Sciences, Eluru, India.
There is a growing importance for patients to easily access information regarding their medical conditions to improve their understanding and participation in health care decisions. Artificial Intelligence (AI) has proven as a fast, efficient, and effective tool in educating patients regarding their health care conditions. The aim of the study is to compare the responses provided by AI tools, ChatGPT and Google Gemini, to assess for conciseness and understandability of information provided for the medical conditions Deep vein thrombosis, decubitus ulcers, and hemorrhoids.
View Article and Find Full Text PDFJ Knee Surg
January 2025
Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, Shijingshan District, Beijing, People's Republic of China.
Single-bundle (SB) and double-bundle (DB) anterior cruciate ligament reconstruction (ACLR) have been compared for years, and long-term outcomes of the two techniques remain inconclusive. We compared the 10-year outcomes of SB and DB reconstruction, in terms of subjective scores, knee stability, graft failure, and osteoarthritis (OA). We searched MEDLINE, Embase, and Cochrane Central Register of Controlled Trials for relevant studies, without restrictions on study design, language, or publication date.
View Article and Find Full Text PDFPLOS Digit Health
January 2025
Rwanda Ministry of Health, Kigali, Rwanda.
Community isolation of patients with communicable infectious diseases limits spread of pathogens but our understanding of isolated patients' needs and challenges is incomplete. Rwanda deployed a digital health service nationally to assist public health clinicians to remotely monitor and support SARS-CoV-2 cases via their mobile phones using daily interactive short message service (SMS) check-ins. We aimed to assess the texting patterns and communicated topics to better understand patient experiences.
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