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. 2013 Sep;22(3):179-186.
doi: 10.1093/reseval/rvt005.

Modeling the dissemination and uptake of clinical trials results

Scott R Rosas  1 , Jeffrey T Schouten  1 , Marie T Cope  1 , Jonathan M Kagan  1
Affiliations

Modeling the dissemination and uptake of clinical trials results

Scott R Rosas et al. Res Eval. 2013 Sep.

Abstract

A select set of highly cited publications from the National Institutes of Health (NIH) HIV/AIDS Clinical Trials Networks was used to illustrate the integration of time interval and citation data, modeling the progression, dissemination, and uptake of primary research findings. Following a process marker approach, the pace of initial utilization of this research was measured as the time from trial conceptualization, development and implementation, through results dissemination and uptake. Compared to earlier studies of clinical research, findings suggest that select HIV/AIDS trial results are disseminated and utilized relatively rapidly. Time-based modeling of publication results as they meet specific citation milestones enabled the observation of points at which study results were present in the literature summarizing the evidence in the field. Evaluating the pace of clinical research, results dissemination, and knowledge uptake in synthesized literature can help establish realistic expectations for the time course of clinical trials research and their relative impact toward influencing clinical practice.

Keywords: citation milestones; dissemination; scientific output; uptake.

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Figures

Figure 1.
Figure 1.
Distribution of all 1,429 citations from 2006–10 for the 22 primary studies publications.
Figure 2.
Figure 2.
Publication dissemination landscape for the 22 primary studies publications.
Figure 3.
Figure 3.
Differences in pace of citation for high–low AIS groups of the 22 primary studies publications.
See this image and copyright information in PMC

References

    1. Beacham B, Kalucy L, McIntyre E. ‘FOCUS on … Understanding and measuring research impact’. Primary Health Care Research & Information Service. 2005;2:1–12.
    1. Bergstrom C T, West J D, Wiseman M A. ‘The eigenfactor metrics’. Journal of Neuroscience. 2008;28:11433–4. - PMC - PubMed
    1. Cozzens S E. ‘The knowledge pool: measurement challenges in evaluating fundamental research programs’. Evaluation and Program Planning. 1997;20(1):77–89.
    1. Cummings G, et al. ‘Can the global uptake of palliative care innovations be improved? Insights form a bibliometric analysis of the Edmonton Symptom Assessment System’. Palliative Medicine. 2011;25(1):71–82. - PubMed
    1. Dilts D M, et al. ‘Steps and time to process clinical trials at the Cancer Therapy Evaluation Program’. Journal of Clinical Oncology. 2009;27(11):1761–6. - PMC - PubMed

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