| Autor: |
Robert Schnoll, Justin E. Bekelman, Daniel Blumenthal, David A. Asch, Alison M. Buttenheim, Krisda H. Chaiyachati, Susan M. Domchek, Oluwadamilola M. Fayanju, Peter Gabriel, Brian P. Jenssen, Frank T. Leone, Anne Marie McCarthy, Katherine L. Nathanson, Ravi B. Parikh, Katharine A. Rendle, Rachel C. Shelton, Lawrence N. Shulman, Samuel U. Takvorian, Susan Ware, E. Paul Wileyto, Rinad S. Beidas |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Journal of Clinical and Translational Science, Vol 8 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2059-8661 |
| DOI: |
10.1017/cts.2024.554 |
| Popis: |
Traditional approaches for evaluating the impact of scientific research – mainly scholarship (i.e., publications, presentations) and grant funding – fail to capture the full extent of contributions that come from larger scientific initiatives. The Translational Science Benefits Model (TSBM) was developed to support more comprehensive evaluations of scientific endeavors, especially research designed to translate scientific discoveries into innovations in clinical or public health practice and policy-level changes. Here, we present the domains of the TSBM, including how it was expanded by researchers within the Implementation Science Centers in Cancer Control (ISC3) program supported by the National Cancer Institute. Next, we describe five studies supported by the Penn ISC3, each focused on testing implementation strategies informed by behavioral economics to reduce key practice gaps in the context of cancer care and identify how each study yields broader impacts consistent with TSBM domains. These indicators include Capacity Building, Methods Development (within the Implementation Field) and Rapid Cycle Approaches, implementing Software Technologies, and improving Health Care Delivery and Health Care Accessibility. The examples highlighted here can help guide other similar scientific initiatives to conceive and measure broader scientific impact to fully articulate the translation and effects of their work at the population level. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
