Large panel sizes are often held responsible for worse access to appointments in primary care. We evaluated the relationship between appointment backlog, panel size, and primary care clinician time in clinic, using Spearman correlation and multiple regression in a retrospective analysis. We found no independent association between panel size and days until third next available appointment, but larger panel size adjusted for clinician time in clinic was associated with worse access. Less clinician time in clinic was independently associated with longer backlogs for appointments. Our findings suggest that patients of part-time clinicians may be less likely to obtain timely appointments than patients of fulltime clinicians, regardless of panel size.
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http://dx.doi.org/10.1370/afm.2313 | DOI Listing |
Am J Hum Genet
December 2024
Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; The Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA. Electronic address:
In recent years, significant efforts have been made to improve methods for genomic studies of admixed populations using local ancestry inference (LAI). Accurate LAI is crucial to ensure that downstream analyses accurately reflect the genetic ancestry of research participants. Here, we test analytic strategies for LAI to provide guidelines for optimal accuracy, focusing on admixed populations reflective of Latin America's primary continental ancestries-African (AFR), Amerindigenous (AMR), and European (EUR).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Columbia University, New York, NY, USA.
Background: Alzheimer's disease (AD) missing heritability remains extensive despite numerous genetic risk loci identified by genome-wide association or sequencing studies. This has been attributed, at least partially, to mechanisms not currently investigated by traditional single-marker/gene approaches. Polygenic Risk Scores (PRS) aggregate sparse genetic information across the genome to identify individual genetic risk profiles for disease prediction and patient risk stratification.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Population and Quantitative Health Sciences, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA.
Background: Recent advances in Alzheimer's Disease (AD) research have emphasized the importance of recruiting from diverse populations. Notably, African-descent individuals have an almost doubled risk of developing AD compared to European-descent individuals. Transcriptome-wide association studies (TWAS) have advanced the analysis of non-coding variants by integrating gene expression with GWAS data.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.
Background: Alzheimer's disease (AD) is a heterogenous disease with a strong heritability. Genetic studies are of irreplaceable value in elucidating the mechanisms that underly this disease. The classical genome-wide association studies (GWAS) rely on ever-increasing sample sizes and utilize clinical AD diagnosis to investigate genetic risk.
View Article and Find Full Text PDFJ Youth Adolesc
January 2025
School of Population and Health, Renmin University of China, Beijing, China.
Although there is ample evidence linking academic and behavioral domains, few studies have examined the long-term, varied impacts of academic performance trajectories on problem behavior outcomes, particularly in early and middle adolescence. This study examined the different three-year academic performance trajectories, their links with behavioral outcomes, and the demographic and educational predictors that distinguish these patterns. The sample consisted of 10,279 Chinese adolescents (46.
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