Dataset Information

Disease risk and healthcare utilization among ancestrally diverse groups in the Los Angeles region.

ABSTRACT: An individual's disease risk is affected by the populations that they belong to, due to shared genetics and environmental factors. The study of fine-scale populations in clinical care is important for identifying and reducing health disparities and for developing personalized interventions. To assess patterns of clinical diagnoses and healthcare utilization by fine-scale populations, we leveraged genetic data and electronic medical records from 35,968 patients as part of the UCLA ATLAS Community Health Initiative. We defined clusters of individuals using identity by descent, a form of genetic relatedness that utilizes shared genomic segments arising due to a common ancestor. In total, we identified 376 clusters, including clusters with patients of Afro-Caribbean, Puerto Rican, Lebanese Christian, Iranian Jewish and Gujarati ancestry. Our analysis uncovered 1,218 significant associations between disease diagnoses and clusters and 124 significant associations with specialty visits. We also examined the distribution of pathogenic alleles and found 189 significant alleles at elevated frequency in particular clusters, including many that are not regularly included in population screening efforts. Overall, this work progresses the understanding of health in understudied communities and can provide the foundation for further study into health inequities.

SUBMITTER: Caggiano C

PROVIDER: S-EPMC11121511 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

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Disease risk and healthcare utilization among ancestrally diverse groups in the Los Angeles region.

Caggiano Christa C Boudaie Arya A Shemirani Ruhollah R Mefford Joel J Petter Ella E Chiu Alec A Ercelen Defne D He Rosemary R Tward Daniel D Paul Kimberly C KC Chang Timothy S TS Pasaniuc Bogdan B Kenny Eimear E EE Shortt Jonathan A JA Gignoux Christopher R CR Balliu Brunilda B Arboleda Valerie A VA Belbin Gillian G Zaitlen Noah N

Nature medicine 20230718 7

An individual's disease risk is affected by the populations that they belong to, due to shared genetics and environmental factors. The study of fine-scale populations in clinical care is important for identifying and reducing health disparities and for developing personalized interventions. To assess patterns of clinical diagnoses and healthcare utilization by fine-scale populations, we leveraged genetic data and electronic medical records from 35,968 patients as part of the UCLA ATLAS Community ...[more]

PMID: 37464048

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Project description:Objectives: Using the Andersen's Behavioral Model of Health Services Use, we explored social, behavioral, and health factors that are associated with emergency department (ED) utilization among underserved African American (AA) older adults in one of the most economically disadvantaged urban areas in South Los Angeles, California. Methods: This cross-sectional study recruited a convenience sample of 609 non-institutionalized AA older adults (age ? 65 years) from South Los Angeles, California. Participants were interviewed for demographic factors, self-rated health, chronic medication conditions (CMCs), pain, depressive symptoms, access to care, and continuity of care. Outcomes included 1 or 2+ ED visits in the last 12 months. Polynomial regression was used for data analysis. Results: Almost 41% of participants were treated at an ED during the last 12 months. In all, 27% of participants attended an ED once and 14% two or more times. Half of those with 6+ chronic conditions reported being treated at an ED once; one quarter at least twice. Factors that predicted no ED visit were male gender (OR = 0.50, 95% CI = 0.29-0.85), higher continuity of medical care (OR = 1.55, 95% CI = 1.04-2.31), individuals with two CMCs or less (OR = 2.61 (1.03-6.59), second tertile of pain severity (OR = 2.80, 95% CI = 1.36-5.73). Factors that predicted only one ED visit were male gender (OR = 0.45, 95% CI = 0.25-0.82), higher continuity of medical care (OR = 1.39, 95% CI = 1.01-2.15) and second tertile of pain severity (OR = 2.42, 95% CI = 1.13-5.19). Conclusions: This study documented that a lack of continuity of care for individuals with multiple chronic conditions leads to a higher rate of ED presentations. The results are significant given that ED visits may contribute to health disparities among AA older adults. Future research should examine whether case management decreases ED utilization among underserved AA older adults with multiple chronic conditions and/or severe pain. To explore the generalizability of these findings, the study should be repeated in other settings.

Dataset Information

Disease risk and healthcare utilization among ancestrally diverse groups in the Los Angeles region.

Publications

Disease risk and healthcare utilization among ancestrally diverse groups in the Los Angeles region.

Similar Datasets

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