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Nine years of comparative effectiveness research education and training: initiative supported by the PhRMA Foundation [PDF]

, 2018
The term comparative effectiveness research (CER) took center stage with passage of the American Recovery and Reinvestment Act (2009). The companion US$1.1 billion in funding prompted the launch of initiatives to train the scientific workforce capable of
Michael D Murray, Diana I Brixner, Cannon, Eileen, Devine, Emily Beth, Jodi B Segal, Jean Paul Gagnon, Schumock, Glen T, Glen T Schumock, Eleanor Perfetto, Segal, Jodi B, Brixner, Diana I, Louis P Garrison, Emily Beth Devine, A Simon Pickard, Perfetto, Eleanor, Garrison, Louis P, Murray, Michael D, Gagnon, Jean Paul, Eileen Cannon, Pickard, A Simon   +19 more
core   +1 more source

Independent investigator incubator (I3): a comprehensive mentorship program to jumpstart productive research careers for junior faculty

BMC Medical Education, 2018
Background In the highly competitive environment of academic medicine, junior faculty investigators face high attrition rates due to challenges in finding effective mentorship, securing grant funding, and obtaining resources to support their career ...
John Paul Spence, Jennifer L. Buddenbaum, Paula J. Bice, Julie L. Welch, Aaron E. Carroll   +4 more
doaj   +1 more source

Resuming elective surgical services in times of COVID-19 infection

Trauma Surgery & Acute Care Open, 2020
The consequences of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus have been devastating to the healthcare system.As the positive effects of social distancing, mandatory masking, and societal lockdown on the spread of the disease ...
Raul Coimbra, Sara Edwards, Bruno Cammarota Coimbra, Arnold Tabuenca   +3 more
doaj   +1 more source

Comparing the effectiveness of employment subsidies [PDF]

Labour Economics, 2007
This paper examines the implications of different types of employment subsidies for employment, welfare, and inequality. It investigates how these effects depend on what target groups the subsidies address. Our analysis focuses on policies that are "approximately welfare efficient" (AWE), i.e.
Brown, Alessio J G, Merkl, Christian, Snower, Dennis J.   +2 more
openaire   +7 more sources

Is more research always needed? Estimating optimal sample sizes for trials of retention in care interventions for HIV-positive East Africans

BMJ Global Health, 2017
Introduction Given the serious health consequences of discontinuing antiretroviral therapy, randomised control trials of interventions to improve retention in care may be warranted.
R Scott Braithwaite, Jennifer Uyei, Lingfeng Li   +2 more
doaj   +1 more source

Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities

npj Digital Medicine, 2020
The machine learning community has become alert to the ways that predictive algorithms can inadvertently introduce unfairness in decision-making.
Jessica K. Paulus, David M. Kent
doaj   +1 more source

A Clinical Model to Predict the Occurrence of Select High-risk Infections in the First Year Following Heart Transplantation

Transplantation Direct, 2023
Background. Invasive infection remains a dangerous complication of heart transplantation (HT). No objectively defined set of clinical risk factors has been established to reliably predict infection in HT.
Whitney A. Perry, MD, MS, Jennifer K. Chow, MD, MS, Jason Nelson, MPH, David M. Kent, MD, MS, David R. Snydman, MD   +4 more
doaj   +1 more source

The Hazards of Comparative Effectiveness When We Cannot Effectively Compare

JACC: Cardiovascular Interventions, 2011
According to the Agency for Health Care Research and Quality, “comparative effectiveness research is designed to inform health-care decisions by providing evidence on the effectiveness, benefits, and harms of different treatment options” ([1][1]).
Richard A, Lange, L David, Hillis
openaire   +2 more sources

Predictive approaches to heterogeneous treatment effects: a scoping review

BMC Medical Research Methodology, 2020
Background Recent evidence suggests that there is often substantial variation in the benefits and harms across a trial population. We aimed to identify regression modeling approaches that assess heterogeneity of treatment effect within a randomized ...
Alexandros Rekkas, Jessica K. Paulus, Gowri Raman, John B. Wong, Ewout W. Steyerberg, Peter R. Rijnbeek, David M. Kent, David van Klaveren   +7 more
doaj   +1 more source

Performance metrics for models designed to predict treatment effect

BMC Medical Research Methodology, 2023
Background Measuring the performance of models that predict individualized treatment effect is challenging because the outcomes of two alternative treatments are inherently unobservable in one patient.
C. C. H. M. Maas, D. M. Kent, M. C. Hughes, R. Dekker, H. F. Lingsma, D. van Klaveren   +5 more
doaj   +1 more source