Clinical Relevance: Knowledge of the typical eye health profile of patients experiencing social or economic disadvantage is useful for health care modelling.
Background: The aim of this work is to profile the ocular health and sociodemographic characteristics of Australian College of Optometry service users of all ages and to explore the relationships between key sociodemographic characteristics and eye health.
Methods: For 3093 eye examinations, best-corrected distance visual acuity and mean spherical equivalent refractive error were tested non-parametrically by clinic category, remoteness area, number of co-morbidities, gender and indigenous status, also correlated against age and socioeconomic advantage/disadvantage. Covariates of interest were entered into linear mixed models of visual acuity and mean spherical equivalent refractive error, controlling for age. Risk estimates are reported for visual impairment (defined as ≤6/12 best-corrected distance visual acuity in one or both eyes) and ocular diagnoses.
Results: Visual impairment is more prevalent amongst service users examined in domiciliary settings. Increasing co-morbidities were associated with poorer best-corrected distance visual acuity. Aboriginal and Torres Strait Islander service users had lower visual impairment prevalence overall but proportionally fewer aged ≥50 years attended for eye care, compared to non-indigenous.
Conclusions: Domiciliary eye examinations detect remediable visual impairment. Federal public health interventions delivered by the Australian College of Optometry for Aboriginal and Torres Strait Islander eye care appear effective but may not reach all aged ≥ 50 years; further research is required. Identification of multiple co-morbidities should prompt optometrists to tailor public health messages and signpost to low vision services earlier.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1080/08164622.2021.1949243 | DOI Listing |
Alzheimers Dement
December 2024
Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE) Rostock/Greifswald, Rostock, Germany.
Background: Using artificial intelligence approaches enable automated assessment and analysis of speech biomarkers for Alzheimer's disease, for example using chatbot technology. However, current chatbots often are unsuitable for people with cognitive impairment. Here, we implemented a user-centred-design approach to evaluate and improve usability of a chatbot system for automated speech assessments for people with preclinical, prodromal and early dementia.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of New Hampshire, Durham, NH, USA.
Background: Resource-constrained rural areas face significant challenges in providing access to healthcare resources, especially for older adults, including those living with Alzheimer's disease and related dementia (ADRD). We seek to address these gaps by equipping six rural community sites in New Hampshire and Maine with tele-rehabilitative equipment. Libraries and community centers that serves youth and older adults, vital in rural communities, are identified as key partners to advance digital health literacy, equity, and telemedicine services for older adults including those living with ADRD, with the University of [blind for review] Center for Digital Health Innovation (CDHI).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
National Ageing Research Institute, Melbourne, VIC, Australia.
Background: We have co-produced with carers of people with dementia (hereafter carers) a culturally tailored iSupport Virtual Assistant (VA), namely e-DiVA, to support English-, Bahasa- and Vietnamese-speaking carers in Australia, Indonesia, New Zealand and Vietnam. The presented research reports qualitative findings from the e-DiVA user-testing study.
Method: Family carers and healthcare professionals working in the field of dementia care were given the e-DiVA to use on their smartphone or handheld device for 1-2 weeks.
Alzheimers Dement
December 2024
Department of Clinical, Educational, and Health Psychology, Division of Psychology and Language Sciences, University College London, London, United Kingdom.
Background: How people affected by non-memory-led and inherited dementias (NMLDs) interact with online health resources is poorly understood. We conducted the world's largest survey exploring 'digital access in non-memory-led dementias' to learn directly from people with NMLD, their care partners and NMLD Healthcare Professionals (HCPs) about the NMLD experience interacting with web-based health resources.
Method: Four surveys [for individuals diagnosed with NMLD, care partners, care partner proxy for person with NMLD, HCP proxy] were co-developed with people with NMLD experience.
Alzheimers Dement
December 2024
New York University, New York, NY, USA.
Background: Studies show that tube feeding does not improve clinical outcomes, and professional guidelines recommend against its use for individuals with advanced dementia. Yet, our preliminary work demonstrates a preference for tube feeding among Chinese-American dementia caregivers. We propose linguistic and cultural adaptation of "Making Choices: Feeding Options for Patients with Dementia (MCFODA) to create the Chinese version of this efficacious decision aid intervention.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!