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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 DisplayedRiggs K, Richman J, Kertesz S
Trial design for ineffectiveness research: a mixed-methods survey.
High-quality research demonstrating a lack of effectiveness may facilitate the 'de-adoption' of ineffective health services. However, there has been little debate on the optimal design for ineffectiveness research-studies exploring the research hypothesis that an intervention is ineffective. The aim of this study was to explore investigators' preferences for trial design for ineffectiveness research. The investigators conducted a mixed-methods online survey with principle investigators identified from clinicaltrials.gov.
AHRQ-funded; HS023009.
Citation: Riggs K, Richman J, Kertesz S .
Trial design for ineffectiveness research: a mixed-methods survey.
BMJ Evid Based Med 2020 Aug;25(4):143-44. doi: 10.1136/bmjebm-2019-111276..
Keywords: Research Methodologies, Comparative Effectiveness, Evidence-Based Practice
Thomas LE, Yang S, Wojdyla D
Matching with time-dependent treatments: a review and look forward.
Observational studies of treatment effects attempt to mimic a randomized experiment by balancing the covariate distribution in treated and control groups, thus removing biases related to measured confounders. In this paper, the authors define a class of longitudinal matching methods and provide a review of existing variations, with guidance regarding study design, execution, and analysis. They identify avenues for future research and highlight the relevance of this methodology to high-quality comparative effectiveness studies in the era of big data.
AHRQ-funded; HS24310.
Citation: Thomas LE, Yang S, Wojdyla D .
Matching with time-dependent treatments: a review and look forward.
Stat Med 2020 Jul;39(17):2350-70. doi: 10.1002/sim.8533..
Keywords: Research Methodologies, Evidence-Based Practice, Comparative Effectiveness
Toh S
Analytic and data sharing options in real-world multi-database studies of comparative effectiveness and safety of medical products.
A wide range of analytic and data sharing options are available in non-experimental multi-database studies designed to assess the real-world benefits and risks of medical products. This article reviewed available analytic and data sharing options and discussed key scientific and practical considerations when choosing among these options in multi-database studies of comparative effectiveness and safety of medical products.
AHRQ-funded; HS026214.
Citation: Toh S .
Analytic and data sharing options in real-world multi-database studies of comparative effectiveness and safety of medical products.
Clin Pharmacol Ther 2020 Apr;107(4):834-42. doi: 10.1002/cpt.1754..
Keywords: Patient-Centered Outcomes Research, Research Methodologies, Comparative Effectiveness