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Lipoproteins And Total Cholesterol In Adults With Normal And Elevated Cholesterolemia In A Polyclinic In Lima-Peru 2022: A Correlational Study, Alberto Guevara Tirado
Lipoproteins And Total Cholesterol In Adults With Normal And Elevated Cholesterolemia In A Polyclinic In Lima-Peru 2022: A Correlational Study, Alberto Guevara Tirado
Revista de la Facultad de Medicina Humana
Objective: To evaluate the degree of correlation between high-density, low-density, and very low-density lipoproteins and total cholesterol in patients with normal and high cholesterolemia. Methodology: Observational, analytical and cross-sectional study carried out from January to September 2022 with 207 patients over 18 years of age divided into a group with normal cholesterol and another with hypercholesterolemia. The Spearman correlation test was performed. Results: In normocholesterolemic subjects there was a low and negative correlation between high-density lipoproteins and low-density lipoproteins (-0.263) as well as between high-density lipoproteins and very low-density lipoproteins (-0.220). In hypercholesterolemic patients there was a low and positive …
Identifying Rural Health Clinics Within The Transformed Medicaid Statistical Information System (T-Msis) Analytic Files, Katherine Ahrens Mph, Phd, Zachariah Croll, Yvonne Jonk Phd, John Gale Ms, Heidi O'Connor Ms
Identifying Rural Health Clinics Within The Transformed Medicaid Statistical Information System (T-Msis) Analytic Files, Katherine Ahrens Mph, Phd, Zachariah Croll, Yvonne Jonk Phd, John Gale Ms, Heidi O'Connor Ms
Rural Health Clinics
Researchers at the Maine Rural Health Research Center describe a methodology for identifying Rural Health Clinic encounters within the Medicaid claims data using Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files.
Background: There is limited information on the extent to which Rural Health Clinics (RHC) provide pediatric and pregnancy-related services to individuals enrolled in state Medicaid/CHIP programs. In part this is because methods to identify RHC encounters within Medicaid claims data are outdated.
Methods: We used a 100% sample of the 2018 Medicaid Demographic and Eligibility and Other Services Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files for 20 states …