Publications by authors named "R Hogg"
The use of routinely collected administrative health data for research can provide unique insights to inform decision-making and, ultimately, support better public health outcomes. Yet, since these data are primarily collected to administer healthcare service delivery, challenges exist when using such data for secondary purposes, namely epidemiologic research. Many of these challenges stem from the researcher's lack of control over the quality and consistency of data collection, and - furthermore - a lessened understanding of the data being analyzed.
View Article and Find Full Text PDFAims: To determine the acceptability and identify potential concerns and barriers of using a hypothetical smartphone application (app) for home monitoring (HM) of visual function among patients with diabetes.
Methods: Quantitative, cross-sectional study using a self-administered questionnaire. Patients diagnosed with diabetes aged between 20 and 70 years were included.
Article Synopsis
- Age-related macular degeneration (AMD) is a complex eye disease influenced by both genetic factors and involves a subtype called reticular pseudodrusen (RPD), which increases the risk of severe vision loss.* -
- A genome-wide association study compared genetic data from individuals with AMD and/or RPD to controls, finding significant associations specifically on chromosome 10, while chromosome 1 did not show this correlation in RPD cases.* -
- The chromosome 10 region includes a long non-coding RNA related to retinal health, highlighting its potential role in retinal thickness and influencing the outer segment of photoreceptors.*
Article Synopsis
- Reticular pseudodrusen (RPD) are a key factor in vision loss related to age-related macular degeneration (AMD), making their detection essential for effective clinical management.
- Researchers created a deep learning model that segments RPD from a dataset of 9,800 optical coherence tomography scans, achieving better agreement with retinal specialists compared to their own consensus.
- The model demonstrated high performance in detecting RPD across multiple test datasets, matching the accuracy of experienced specialists, and is now publicly accessible for use.
Background: The United States has lost many lives to COVID-19. The role of social capital and collective action has been previously explored in the context of COVID-19. The current study specifically investigates the role of social trust at the county level and COVID-19 mortality in the US, hypothesizing that counties with higher social trust will have lower COVID-19 mortality rates.
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