Donna Friedsam
University of Wisconsin-Madison
21 Papers
32 Citations
Donna Friedsam is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Medicaid & Health care. The author has an hindex of 7, co-authored 20 publications.
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Papers
Wisconsin Experience Indicates That Expanding Public Insurance To Low-Income Childless Adults Has Health Care Impacts
TL;DR: It is demonstrated that public insurance coverage expansions to childless adults have the potential to improve health and reduce costs by increasing access to outpatient care and reducing hospitalizations.
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•Journal Article
Short report: factors that affect specialty choice and career plans of Wisconsin's medical students.
Kjersti Knox,Anne Getzin,Alison Bergum,Patrick E. McBride,Richard E. Rieselbach,Donna Friedsam +5 more
TL;DR: The results validate many previously reported factors, and indicate that salary and years of training may have been overemphasized in understanding student career choice.
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The Effects of Expanding Public Insurance to Rural Low-Income Childless Adults
Marguerite E. Burns,Laura Dague,Thomas DeLeire,Mary Dorsch,Donna Friedsam,Lindsey Jeanne Leininger,Gastón A. Palmucci,John R. Schmelzer,Kristen Voskuil +8 more
TL;DR: Public insurance expansions to childless adults have the potential to impact the use of health care, and the large increase in Medicaid coverage and reduction in rates of uninsurance anticipated to result from the Affordable Care Act should increase theUse of inpatient and outpatient services, but they will have an uncertain impact on the useof ED among rural populations.
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Wisconsin's BadgerCare Plus Reform: Impact on Low‐Income Families' Enrollment and Retention in Public Coverage
Lindsey Jeanne Leininger,Donna Friedsam,Laura Dague,Shannon Mok,Emma Hynes,Alison Bergum,Milda Aksamitauskas,Thomas Oliver,Thomas DeLeire +8 more
TL;DR: Wisconsin's enactment of eligibility expansions coupled with administrative simplification and targeted marketing and outreach efforts were successful in enrolling and retaining low-income children and families in public coverage.
•Journal Article
Predicting high-need cases among new Medicaid enrollees.
TL;DR: In this article, a short, self-reported health needs assessment (HNA) collected at the time of Medicaid enrollment to predict subsequent utilization and costs was used to predict high-need cases using multivariate logistic regression estimates.
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