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Objectives: The purpose of this case study series was to present recruitment and data collection strategies used for Asian American ethnic groups by documenting challenges experienced by researchers in the field of aging.
Summary: We compiled four case studies investigating Asian American older adults and/or family caregivers (i.e., Vietnamese, South Asians, Chinese, and Koreans). Each case study employed unique research methods to overcome experienced challenges associated with recruitment and data collection.
Discussion: Three constructs were organized for effective recruitment and data collection strategies of this racial group and included (1) forming a bilingual and bicultural research team (research-centered); (2) establishing reciprocal partnerships between researchers and community partners (community-centered); and (3) understanding the historical and cultural backgrounds of targeted ethnic groups (participant-centered). Approaches taken to address the range of challenges and limitations identified in this case study series may also help increase the representation of Asian-American older adults and family caregivers in research.
Clinical Implications: Successfully including racial and ethnic minority groups in research, especially Asian Americans, may reduce existing racial disparities in mental and physical health. Any barriers and facilitators affecting the research regarding Asian American ethnic groups should continue to be discussed.
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http://dx.doi.org/10.1080/07317115.2022.2130848 | DOI Listing |
J Neurooncol
September 2025
Institute of Medical Biostatistics, Epidemiology, and Informatics (IMBEI), University Medical Center Mainz, Mainz, Germany.
Purpose: Patients diagnosed with high-grade gliomas (HGG) often experience substantial psychosocial dis-tress. However, due to neurological and neurocognitive deficits its assessment remains challenging, and needs remain unmet. We compared a novel face-to-face assessment during doctor-patient conversations with questionnaire-based screening.
View Article and Find Full Text PDFThorax
September 2025
Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Introduction: Breathlessness is a common cause of hospital admission globally and is associated with high mortality, particularly in low-income countries. In sub-Saharan Africa, there is a paucity of data on breathlessness, with existing data focused on individual diseases. There is a need for patient-centred approaches to understand interactions between multiple conditions to address population needs and inform health system responses.
View Article and Find Full Text PDFOral Surg Oral Med Oral Pathol Oral Radiol
August 2025
Department of Oral Medicine, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, PR China. Electronic address: yz
Objective: There are limited data regarding the association and differentiation between proliferative verrucous leukoplakia (PVL) and unifocal verrucous leukoplakia (UVL).
Methods: We retrospectively recruited oral leukoplakia (OL) patients from 2010 to 2024, analyzing the demographic, clinical, histopathological features, and malignant transformation of PVL and UVL.
Results: Among 1756 OL subjects, PVL and UVL accounted for 1.
BJGP Open
September 2025
Institute for Global Health, University College London, London, United Kingdom
Background: Over the past decade, remote (non-face-to-face) services are being increasingly used in primary care, including interactions through telephone and online platforms. These services bring potential benefits as well as potential barriers for patients. Older migrants are a population that could face intersectional barriers when accessing healthcare; it is important to understand the impact of remote services on them.
View Article and Find Full Text PDFJ Med Ethics
September 2025
Shrewsbury Public Schools, Shrewsbury, Massachusetts, USA
The integration of artificial intelligence (AI) into pharmaceutical practices raises critical ethical concerns, including algorithmic bias, data commodification and global health inequities. While existing AI ethics frameworks emphasise transparency and fairness, they often overlook structural vulnerabilities tied to race, gender and socioeconomic status. This paper introduces relational accountability-a feminist ethics framework-to critique AI-driven pharmaceutical practices, arguing that corporate reliance on biased algorithms exacerbates inequalities by design.
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