Journal of comparative effectiveness research
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Cluster randomized trials are trials that randomize clusters of people, rather than individuals. They are becoming increasingly common. ⋯ This article will highlight and illustrate these developments. It will also discuss issues with regards to the reporting of cluster randomized trials.
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The intense competition that accompanied the growth of internet-based companies ushered in the era of 'big data' characterized by major innovations in processing of very large amounts of data and the application of advanced analytics including data mining and machine learning. Healthcare is on the cusp of its own era of big data, catalyzed by the changing regulatory and competitive environments, fueled by growing adoption of electronic health records, as well as efforts to integrate medical claims, electronic health records and other novel data sources. ⋯ For life science companies, this will impact the entire pharmaceutical value chain from early research to postcommercialization support. More generally, this will revolutionize comparative effectiveness research.
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Editorial Randomized Controlled Trial Multicenter Study
Accelerated versus standard care in hip fracture patients: does speed save lives?
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Chronic conditions are the most important cause of morbidity, mortality and health expense in the USA. Comparative effectiveness research (CER) seeks to provide evidence supporting the relative value of alternative courses of action. This research often concludes with estimates of the likelihood of desirable and undesirable outcomes associated with each option. ⋯ In these ways, SDM and CER are interrelated. SDM translates CER into patient-centered practice, while CER provides the backbone evidence about options and outcomes in SDM interventions. In this review, we explore the potential for a SDM-CER synergy in improving healthcare for patients with chronic conditions.