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30 results on '"Lee, Mingsum"'

20. Abstract 10157: Incremental Medical Expenditure and Effectiveness of Early Non-invasive Cardiac Testing in Suspected Acute Coronary Syndrome

Author

Kawatkar, Aniket, primary, Sharp, Adam, additional, Baecker, Aileen, additional, Redberg, Rita F, additional, Lee, Mingsum, additional, Ferencik, Maros, additional, Wu, Yi-Lin, additional, Shen, Ernest, additional, zheng, chengyi, additional, Musigdilok, Visanee, additional, Goodacre, Steve, additional, Thokala, Praveen, additional, and Sun, Benjamin, additional

Published
2021
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21. Abstract MP41: Rates Of Acute Myocardial Infarction Around The Covid-19 Pandemic And Comparable Time Periods In 2019 In An Integrated Healthcare Delivery System

Author

Mefford, Matthew T, primary, Liu, Ran, additional, Qian, Lei, additional, Harrison, Teresa N, additional, Jacobsen, Steven J, additional, An, JaeJin, additional, Lee, Mingsum, additional, Gupta, Nigel, additional, Price, Chileshe N, additional, Muntner, Paul, additional, and Reynolds, Kristi, additional

Published
2021
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25. Temporal Trends in Mortality Rates among Kaiser Permanente Southern California Health Plan Enrollees, 2001–2016

Author

Steven Jacobsen, Corinne Koebnick, Zhi Liang, Don McCarthy, Kristi Reynolds, Fagen Xie, Lee Mingsum, Janis F. Yao, and Wansu Chen

Subjects
Health plan, Adult, Male, Adolescent, Population, 030204 cardiovascular system & hematology, California, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Sex Factors, Risk Factors, Cause of Death, Medicine, Humans, 030212 general & internal medicine, Young adult, Mortality, education, Mortality trends, Child, Cause of death, Aged, Aged, 80 and over, education.field_of_study, business.industry, Delivery of Health Care, Integrated, Mortality rate, Significant difference, Age Factors, Infant, Newborn, Infant, General Medicine, Middle Aged, Original Research & Contributions, Confidence interval, United States, Child, Preschool, Female, business, Demography
Abstract

Background Temporal analyses of death rates in the US have found a decreasing trend in all-cause and major cause-specific mortality rates. Objectives To determine mortality trends in Kaiser Permanente Southern California (KPSC), a large insured population, and whether they differ from those of California and the US. Methods Trends in age-adjusted all-cause and cause-specific mortality rates from 2001 to 2016 were determined using data collected in KPSC and those derived through linkage with California State death files and were compared with trends in the US and California. Trends of race/ethnicity-specific all-cause and cause-specific mortality rates were also examined. Average annual percent changes (AAPC) and 95% confidence intervals (CI) were calculated. Results From 2001 to 2016, the age-adjusted all-cause mortality rate per 100,000 person-years decreased significantly in KPSC (AAPC = -1.84, 95% CI = -2.95 to -0.71), California (AAPC = -1.60, 95% CI = -2.51 to -0.69) and the US (AAPC = -1.10, 95% CI = -1.78 to -0.42). Rates of 2 major causes of death, cancer and heart disease, also decreased significantly in the 3 populations. Differences in trends of age-adjusted all-cause mortality rates and the top 10 cause-specific mortality rates between KPSC and California or the US were not statistically significant at the 95% level. No significant difference was found in the trends of race/ethnicity-specific, sex-specific, or race/ethnicity- and sex-specific all-cause mortality rates between KPSC and California or the US. Conclusion Trends in age-adjusted mortality rates in this insured population were comparable to those of the US and California.

Published
2019

28. Free Cholesterol Accumulation in Macrophage Membranes Activates Toll-Like Receptors and p38 Mitogen-Activated Protein Kinase and Induces Cathepsin K

Author

Sun, Yu, primary, Ishibashi, Minako, additional, Seimon, Tracie, additional, Lee, Mingsum, additional, Sharma, Sudarshana M., additional, Fitzgerald, Katherine A., additional, Samokhin, Andriy O., additional, Wang, Yibin, additional, Sayers, Scott, additional, Aikawa, Masanori, additional, Jerome, W. Gray, additional, Ostrowski, Michael C., additional, Bromme, Dieter, additional, Libby, Peter, additional, Tabas, Ira A., additional, Welch, Carrie L., additional, and Tall, Alan R., additional

Published
2009
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30. Research data warehouse: using electronic health records to conduct population-based observational studies.

Author

Chen W, Xie F, Mccarthy DP, Reynolds KL, Lee M, Coleman KJ, Getahun D, Koebnick C, and Jacobsen SJ

Abstract

Background: Electronic health records and many legacy systems contain rich longitudinal data that can be used for research; however, they typically are not readily available., Materials and Methods: At Kaiser Permanente Southern California (KPSC), a research data warehouse (RDW) has been developed and maintained since the late 1990s and widely extended in 2006, aggregating and standardizing data collected from internal and a few external sources. This article provides a high-level overview of the RDW and discusses challenges common to data warehouses or repositories for research use. To demonstrate the application of the data, we report the volume, patient characteristics, and age-adjusted prevalence of selected medical conditions and utilization rates of selected medical procedures., Results: A total of 105 million person-years of health plan enrollment was recorded in the RDW between 1981 and 2018, with most healthcare utilization data available since early or middle 1990s. Among active enrollees on December 31, 2018, 15% were ≥65 years of age, 33.9% were non-Hispanic white, 43.3% Hispanic, 11.0% Asian, and 8.4% African American, and 34.4% of children (2-17 years old) and 72.1% of adults (≥18 years old) were overweight or obese. The age-adjusted prevalence of asthma, atrial fibrillation, diabetes mellitus, hypercholesteremia, and hypertension increased between 2001 and 2018. Hospitalization and Emergency Department (ED) visit rates appeared lower, and office visit rates seemed higher at KPSC compared to the reported US averages., Discussion and Conclusion: Although the RDW is unique to KPSC, its methodologies and experience may provide useful insights for researchers of other healthcare systems worldwide in the era of big data analysis., Competing Interests: None declared., (© The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association.)

Published
2023
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