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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 DisplayedJi X, Machiraju R, Ritter A
Visualizing article similarities via sparsified article network and map projection for systematic reviews.
In this study, the authors visualized article similarities to extend its utilization in practical settings for SR researchers, aiming to promote human comprehension of article distributions and hidden patterns. To prompt an effective visualization in an interpretable, intuitive, and scalable way, they implemented a graph-based network visualization with three network sparsification approaches and a distance-based map projection via dimensionality reduction.
AHRQ-funded; HS025047.
Citation: Ji X, Machiraju R, Ritter A .
Visualizing article similarities via sparsified article network and map projection for systematic reviews.
Stud Health Technol Inform 2017;245:422-26.
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Keywords: Data, Evidence-Based Practice, Health Services Research (HSR), Research Methodologies
Aarons GA, Sklar M, Mustanski B
"Scaling-out" evidence-based interventions to new populations or new health care delivery systems.
This paper introduces a new concept for implementation called "scaling-out" when evidence-based interventions are adapted either to new populations or new delivery systems, or both. Using existing external validity theories and multilevel mediation modeling, the authors provide a logical framework for determining what new empirical evidence is required for an intervention to retain its evidence-based standard in this new context.
AHRQ-funded; HS024192.
Citation: Aarons GA, Sklar M, Mustanski B .
"Scaling-out" evidence-based interventions to new populations or new health care delivery systems.
Implement Sci 2017 Sep 6;12(1):111. doi: 10.1186/s13012-017-0640-6..
Keywords: Healthcare Delivery, Evidence-Based Practice, Health Services Research (HSR)
Mortensen ML, Adam GP, Trikalinos TA
An exploration of crowdsourcing citation screening for systematic reviews.
This study explored the use of crowdsourcing (distributing tasks to untrained workers via the web) to reduce the cost of screening citations. Crowdworkers completed screening in 4 to 17 days, costing $460 to $2220, a cost reduction of up to 88 percent compared to trained experts. Crowdsourcing may represent a useful approach to reducing the cost of identifying literature for systematic reviews.
AHRQ-funded; HS025024.
Citation: Mortensen ML, Adam GP, Trikalinos TA .
An exploration of crowdsourcing citation screening for systematic reviews.
Res Synth Methods 2017 Sep;8(3):366-86. doi: 10.1002/jrsm.1252.
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Keywords: Evidence-Based Practice, Health Services Research (HSR), Research Methodologies