Background: East Harlem, New York, is a community actively struggling with diabetes and its complications, including vision-related conditions that can affect many aspects of daily life.
Objectives: Vision Voice was a qualitative community-based participatory research (CBPR) study that intended to better understand the needs and experiences of people living with diabetes, other comorbid chronic illnesses, and vision loss in East Harlem.
Methods: Using photovoice methodology, four participants took photographs, convened to review their photographs, and determined overarching themes for the group's collective body of work.
Lessons Learned: Identified themes included effect of decreased vision function on personal independence/mobility and self-management of chronic conditions and the importance of informing community members and health care providers about these issues. The team next created a documentary film that further develops the narratives of the photovoice participants.
Conclusions: The Vision Voice photovoice project was an effective tool to assess community needs, educate and raise awareness.
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http://dx.doi.org/10.1353/cpr.2015.0050 | DOI Listing |
J Public Health Afr
December 2024
Department of Global Health, University of Washington, Seattle, United States of America.
Background: Many low- and middle-income countries (LMICs) face the daunting task of digitising, maturing and deciding where to invest in digital health systems.
Aim: Describing the facilitators and barriers to conducting digital health maturity assessments and how health leaders can prioritise the assessments.
Setting: eHealth leaders from 10 African countries, working or supporting Ministries of Health's digital health and participating in the eHealth Leaders' Forum from July 2023 to September 2023.
Clin Exp Optom
January 2025
Department of Optometry and Vision Sciences, The University of Melbourne, Parkville, Australia.
Clinical Relevance: There are many recognised risk factors for retinal vein occlusions. It is plausible that musicians who play wind instruments or use their voice as their primary instrument may be at increased risk of branch retinal vein occlusions through repeated Valsalva manoeuvre.
Background: Repeated valsalva manoeuvres are commonly performed by musicians using high resistance wind instruments.
J Microbiol Biol Educ
January 2025
STEM Education Center, University of Arkansas at Little Rock, Little Rock, Arkansas, USA.
The 2011 report outlined several recommendations for transforming undergraduate biology education, sparking multiple pedagogical reform efforts. Among these was the Promoting Active Learning and Mentoring (PALM) network, an NSF-funded program that provided mentorship and training to instructors on implementing active learning in the classroom. Here, we provide a perspective on how members of the biology education community in PALM view the recommendations of , drawing upon our experiences both as members of PALM and as leaders of an associated project funded by another NSF grant that hosted PALM alumni at various conferences.
View Article and Find Full Text PDFProc ACM Symp User Interface Softw Tech
October 2024
Department of Computer Science, Stony Brook University New York, USA.
While gesture typing is widely adopted on touchscreen keyboards, its support for low vision users is limited. We have designed and implemented two keyboard prototypes, layout-magnified and key-magnified keyboards, to enable gesture typing for people with low vision. Both keyboards facilitate uninterrupted access to all keys while the screen magnifier is active, allowing people with low vision to input text with one continuous stroke.
View Article and Find Full Text PDFJ Voice
December 2024
Digital Healthcare Research Center, Pukyong National University, Busan 48513, Republic of Korea; Division of Smart Healthcare, College of Information Technology and Convergence, Pukyong National University, Busan 48513, Republic of Korea; Department of Industry 4.0 Convergence Bionics Engineering, Pukyoung National University, Busan 48513, Republic of Korea. Electronic address:
Parkinson's disease (PD) is a neurodegenerative disorder affecting motor and non-motor functions, including speech. This study evaluates the effectiveness of the audio spectrogram transformer (AST) model in detecting PD through vocal biomarkers, hypothesizing that its self-attention mechanism would better capture PD related speech impairments compared to traditional deep learning approaches. Speech recordings from 150 participants (100 from PC-GITA: 50 PD, 50 healthy controls (HC); 50 from Italian Parkinson's voice and speech (ITA): 28 PD, 22 HC) were analyzed using the AST model and compared against established architectures including VGG16, VGG19, ResNet18, ResNet34, vision transformer, and swin transformer.
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