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| http://dx.doi.org/10.34197/ats-scholar.2020-0122BR | DOI Listing |
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Dementia Care Research and Psychosocial Factors.
Alzheimers Dement
December 2024
7072 mulago hill, Kampala, Uganda.
Background: In Uganda, caregivers of Alzheimer's disease and related dementias (ADRD) face complex challenges, often lacking specialized skills for effective caregiving. Despite the growing prevalence of ADRD in the country, there's a significant literature gap on caregiver selection and obstacles faced in urban and rural areas. This study aims to provide insights into the experiences of Ugandan caregivers, enhancing understanding of ADRD caregiving.
View Article and Find Full Text PDFDementia Care Research and Psychosocial Factors.
Alzheimers Dement
December 2024
New York University, New York, NY, USA.
Background: Despite technology adoption and increased dependence on digital technologies, the digital divide persists among older adults. The purpose of this study was to understand barriers and facilitators of recruiting non-English speaking older individuals who are cognitively impaired along with their caregivers for PLAN, an ongoing RCT designed to promote the transition of Korean American older adults with probable dementia and their caregivers into the healthcare system for adequate diagnostic follow-up and care. We also examined online-based recruitment strategies focused on older adults reported in relevant published studies to compare with our experiences.
View Article and Find Full Text PDFDementia Care Research and Psychosocial Factors.
Alzheimers Dement
December 2024
Massachusetts General Hospital, Boston, MA, USA.
Background: Underdiagnosis of Alzheimer's disease and related dementias (ADRD) leads to lost opportunities for timely intervention, increased healthcare costs, and underestimation of the true burden of disease. To address this problem, we developed an AI algorithm, Decipher-AI (DEtection of Cognitive Impairment PHenotypes in EHR), to screen primary care patients for undiagnosed cognitive impairment (CI). We evaluated performance across sociodemographic groups using 3 years of EHR data before the first diagnosis or most recent visit.
View Article and Find Full Text PDFTechnology and Dementia Preconference.
Alzheimers Dement
December 2024
Mayo Clinic, Rochester, MN, USA.
Background: Few normative data for computerized measures administered in unsupervised remote environments are available. We aimed to determine what variables to include in normative models for remote self-administered assessments, develop normative data for measures administered through Mayo Test Drive (MTD, a multi-device remote cognitive assessment platform) and evaluate application of norms.
Method: 1240 adults ages 33-100 (96% White) from the Mayo Clinic Study of Aging and Mayo Alzheimer's Disease Research Center met normative sample inclusion criteria that included a concordant Cognitively Unimpaired (CU) diagnosis (3 independent raters all diagnosed CU) and CDR = 0 (see Table 1 for sample characteristics).
Technology and Dementia Preconference.
Alzheimers Dement
December 2024
Massachusetts General Hospital, Boston, MA, USA.
Background: Underdiagnosis of Alzheimer's disease and related dementias (ADRD) leads to lost opportunities for timely intervention, increased healthcare costs, and underestimation of the true burden of disease. To address this problem, we developed an AI algorithm, Decipher-AI (DEtection of Cognitive Impairment PHenotypes in EHR), to screen primary care patients for undiagnosed cognitive impairment (CI). We evaluated performance across sociodemographic groups using 3 years of EHR data before the first diagnosis or most recent visit.
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