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Dana P. Goldman
Researcher at University of Southern California
Publications - 381
Citations - 16877
Dana P. Goldman is an academic researcher from University of Southern California. The author has contributed to research in topics: Health care & Population. The author has an hindex of 62, co-authored 377 publications receiving 15247 citations. Previous affiliations of Dana P. Goldman include George Washington University & Dana Corporation.
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The Impact of Air Quality on Hospital Spending
TL;DR: The results indicate that substantial reductions in hospital spending can be achieved through reductions in air pollution, and this could benefit public programs such as Medicare and Medicaid.
Original article Inhaled corticosteroids and the risk of pneumonia in Medicare patients with COPD
Julia Thornton Snider,Yesenia Luna,Ken S Wong,Jie Zhang,Susan S. Chen,Patrick J. Gless,Dana P. Goldman +6 more
TL;DR: In this paper, a nested case control analysis was performed to study the relationship between inhaled corticosteroid (ICS) use and pneumonia risk in a cohort of Medicare Advantage members with COPD.
Journal ArticleDOI
Medicare Part D: A Successful Start With Room for Improvement
TL;DR: Concerns about Part D are raised, including possible models for the provision of health insurance to the currently uninsured, and one of the tradeoffs associated with offering beneficiaries a wide array of plan options and benefit designs.
Journal Article
Insurance Status of HIV-Infected Adults in the Post-Haart Era: Evidence from the United States
Dana P. Goldman,Arleen Leibowitz,Geoffrey F. Joyce,John A. Fleishman,Samuel A. Bozzette,Naihua Duan,Martin F. Shapiro +6 more
TL;DR: It is found that public insurance is the predominant source of coverage for those in care for HIV, and that coverage increases as disease progresses, suggesting that reforms allowing HIV positive (+) patients to maintain public coverage while returning to work could increase employment and earnings significantly.
Journal ArticleDOI
Heterogeneity in action: the role of passive personalization in comparative effectiveness research.
TL;DR: In this article, the authors study the use of antipsychotic drugs in Medicaid patients with schizophrenia using novel instrumental variable methods and find strong support for PP in clinical practice and demonstrate that the average effects from a comparative effectiveness study cannot be replicated in practice because of the presence of passive personalization.