Gerald F. Kominski on Muck Rack

Gerald F. Kominski

Los Angeles
As seen in: Los Angeles Times, Implementation Science, The Sacramento Bee, Health Affairs, RAND Corporation, Annual Reviews Journal
Professor Emeritus, UCLA Fielding School of Public Health, Dept. of Health Policy and Management, and Director Emeritus, UCLA Center for Health Policy Research
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Articles

Cost-effectiveness of Approaches to Cervical Cancer Screening in Malawi

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By Risa M. Hoffman, Sam Phiri, Gerald F. Kominski, Amos Makwaya
| RAND Corporation
Background Recently-updated global guidelines for cervical cancer screening incorporated new technologies—most significantly, the inclusion of HPV DNA detection as a primary screening test—but leave many implementation decisions at countries’ discretion. We sought to develop recommendations for Malawi as a test case since it has the second-highest cervical cancer burden globally and high HIV prevalence.
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Racial Differences in Treatment Intensity at the End of Life Among Older Adults with Heart Failure

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By Vargas Bustamante, Arturo Vargas Bustamante, Teryl K. Nuckols, Gerald F. Kominski
| RAND Corporation
Background Black Americans experience the highest prevalence of heart failure (HF) and the worst clinical outcomes of any racial or ethnic group, but little is known about end-of-life care for this population. Objective Compare treatment intensity between Black and White older adults with HF near the end of life. Design Negative binomial and logistic regression analyses of pooled, cross-sectional data from the Health and Retirement Study (HRS).
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UCLA Center for Health Policy Research

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By Srikanth Kadiyala, Gerald F. Kominski, Antonia Riveros
| ucla.edu
February 1, 2021 Journal Article Authors: Fabian Duarte, Ph.D, Srikanth Kadiyala, Ph.D., Gerald F. Kominski, Ph.D., Antonia Riveros ​Summary: During the period 2014–16 the Affordable Care Act (ACA) dramatically reduced rates of uninsurance and underinsurance in the United States. In this study, authors estimated the effects of these coverage increases on cancer detection among the near-elderly population (ages 60–64).
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