The Agency for Healthcare Research and Quality (AHRQ) is the lead federal agency charged with improving the quality of healthcare for all Americans. Providing high-quality care means providing safe, effective, and individualized care to meet the consumer's desires but also accomplished promptly, efficiently, and equitably. AHRQ develops science-based knowledge, tools, and data to improve healthcare and help consumers, healthcare professionals, and policymakers make informed decisions.
Among its research priorities, AHRQ supports research to advance health services research methods, including the use of evidence synthesis methods and processes to promote efficiency, usefulness, and rigor, and promote uptake of their findings (e.g., in guidelines, clinical decision support, and other healthcare decision making).
Publications supported by AHRQ grants include:
2017
- Community-Engaged Evidence Synthesis To Inform Public Health Policy and Clinical Practice: a Case Study.
- Training in Patient-Centered Outcomes Research for Specific Researcher Communities.
- A Systematic Review of the Processes Used To Link Clinical Trial Registrations to Their Published Results.
2018
- Unreported Links Between Trial Registrations and Published Articles Were Identified Using Document Similarity Measures in a Cross-Sectional Analysis of ClinicalTrials.gov.
- A Shared Latent Space Matrix Factorisation Method for Recommending New Trial Evidence for Systematic Review Updates.
- Registration of Published Randomized Trials: a Systematic Review and Meta-analysis.
2019
- Increased Risks for Random Errors Are Common in Outcomes Graded as High Certainty of Evidence.
- Visual Exploration of Neural Document Embedding in Information Retrieval: Semantics and Feature Selection.
- Graphical Augmentations to Sample-Size-Based Funnel Plot in Meta-analysis.
- Borrowing of Strength From Indirect Evidence in 40 Network Meta-analyses.
- Rapid Reviews May Produce Different Results to Systematic Reviews: A Meta-epidemiological Study.
- Rapid Network Meta-analysis Using Data From Food and Drug Administration Approval Packages Is Feasible but With Limitations.
- A Bayesian Hierarchical Model Estimating CACE in Meta-analysis of Randomized Clinical Trials With Noncompliance.
2020
- The Magnitude of Small-Study Effects in the Cochrane Database of Systematic Reviews: an Empirical Study of Nearly 30 000 Meta-analyses.
- Underperformance of Contemporary Phase III Oncology Trials and Strategies for Improvement.
- A Novel Tool That Allows Interactive Screening of PubMed Citations Showed Promise for the Semi-automation of Identification of Biomedical Literature.
