Disease burden and the advancement of biomedical knowledge
David Hsiehchen (),
Magdalena Espinoza and
Antony Hsieh
Additional contact information
David Hsiehchen: University of Texas Southwestern Medical Center
Magdalena Espinoza: Banner University Medical Center Phoenix
Antony Hsieh: Northwestern University
Scientometrics, 2017, vol. 110, issue 1, No 18, 333 pages
Abstract:
Abstract Despite the importance and magnitude of biomedical research, little is known about its development and responsiveness to current health needs. Herein, we characterized the evolution of disease specific biomedical research and assess the alignment of research and translational efforts with disease burden. Publication patterns for approximately 2700 diseases indicated a fluid landscape of modern biomedical interests. In studying a subset of diseases with available data, overall measures of disease burden explained a large fraction of publication variance but only a small portion of NIH funding variance. In addition, discrete measures of mortality and morbidity differentially impacted NIH funding levels, research efforts, and the number of clinical trials in the US. Our findings not only scrutinize the relevance of our current biomedical enterprise, but may also serve as a resource for fostering strategies that adequately prepare the scientific community to address future health needs and promote accountability in the allocation of resources.
Keywords: Disease burden; Medical research; Clinical trials; NIH funding; Disability (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11192-016-2169-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:110:y:2017:i:1:d:10.1007_s11192-016-2169-x
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-016-2169-x
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().