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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 3 of 3 Research Studies DisplayedDavidson KW, Krist AH, Tseng CW
AHRQ Author: Mills J, Borsky A
Incorporation of social risk in US Preventive Services Task Force Recommendations and identification of key challenges for primary care.
The authors assessed how social risks have been considered in USPSTF recommendation statements and identified current gaps in evidence needed to expand the systematic inclusion of social risks in future recommendations. They concluded that their report serves as a benchmark and foundation for ongoing work to advance the goal of ensuring that health equity and social risks are incorporated into USPSTF methods and recommendations.
AHRQ-authored.
Citation: Davidson KW, Krist AH, Tseng CW .
Incorporation of social risk in US Preventive Services Task Force Recommendations and identification of key challenges for primary care.
JAMA 2021 Oct 12;326(14):1410-15. doi: 10.1001/jama.2021.12833..
Keywords: U.S. Preventive Services Task Force (USPSTF), Primary Care, Social Determinants of Health, Risk, Evidence-Based Practice, Research Methodologies, Guidelines
Bennette CS, Ramsey SD, McDermott CL
Predicting low accrual in the National Cancer Institute's cooperative group clinical trials.
The study’s objective was to evaluate the empirical relationship and predictive properties of putative risk factors for low accrual in the National Cancer Institute's (NCI's) Cooperative Group Program, now the National Clinical Trials Network (NCTN). It identified multiple characteristics of NCTN-sponsored trials associated with low accrual and developed a prediction model that can provide a useful estimate of accrual risk based on these factors.
AHRQ-funded; HS023340.
Citation: Bennette CS, Ramsey SD, McDermott CL .
Predicting low accrual in the National Cancer Institute's cooperative group clinical trials.
J Natl Cancer Inst 2016 Feb;108(2). doi: 10.1093/jnci/djv324.
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Keywords: Research Methodologies, Risk
Haukoos JS, Lewis RJ
The propensity score.
The authors discuss studies by Rozé et al and Huybrechts et al that used propensity score matching and propensity score stratification, respectively. They argue that although both methods are more valid in terms of balancing study groups than simple matching or stratification based on baseline characteristics, they vary in their ability to minimize bias. In general, propensity score matching minimizes bias to a greater extent than propensity score stratification.
AHRQ-funded; HS021749.
Citation: Haukoos JS, Lewis RJ .
The propensity score.
JAMA 2015 Oct 20;314(15):1637-8. doi: 10.1001/jama.2015.13480..
Keywords: Research Methodologies, Data, Risk