Survey of Real-World Research Workforce, Training, and Education: Report from the DIA Real-World Outcomes Task Force

被引:0
|
作者
Gliklich, Richard [1 ]
Glennie, Judith
Mattox, Pattra W.
Graff, Jennifer S. [2 ]
Garner, Sarah [3 ]
Marrone, Christopher M. [4 ]
Shaya, Fadia T. [5 ]
Hansen, Jan [6 ]
Lewin, Jack [7 ]
Blackburn, Stella
Berger, Marc
Dreyer, Nancy A.
机构
[1] Outcome, Cambridge, MA 02139 USA
[2] NPC, Washington, DC USA
[3] Natl Inst Hlth & Clin Excellence NICE, Res & Dev, Nice, France
[4] Ely Lilly & Co Inc, Outcomes Liaison, Washington, DC USA
[5] Univ Maryland, Sch Pharm, Ctr Drugs & Publ Policy, Baltimore, MD 21201 USA
[6] Global Hlth Outcomes, Allergan, CA USA
[7] Amer Coll Cardiol, Washington, DC USA
来源
DRUG INFORMATION JOURNAL | 2012年 / 46卷 / 02期
关键词
real-world research; survey; workforce; training; education; DECISION-MAKING;
D O I
10.1177/0092861512437760
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
The demand for real-world research (RWR) from many stakeholders has resulted in an increasing need for well-trained professionals who understand how to perform and evaluate RWR and to interpret the results of such data. The Drug Information Association (DIA) Real World Outcomes Task Force (RWOTF) developed a survey to explore North American workforce and training needs in RWR for DIA's constituencies. The primary goals of the project were to assess current and future capacity to perform and interpret real-world outcome studies and identify the educational needs and the potential role of DIA in the RWR arena. The survey confirmed that the use of RWR is growing, and identified key barriers to using RWR. Organizational needs for RWR are increasing and a well-trained workforce to perform or use RWR is critical. However, the current workforce is not considered sufficient and there appear to be significant gaps in available training programs. There are clear opportunities for organizations like DIA to help meet the demand for training and education.
引用
收藏
页码:185 / 191
页数:7
相关论文
共 50 条
  • [41] ITS A REAL REAL REAL-WORLD
    EVANS, RA
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 1994, 43 (04) : 550 - 550
  • [42] OUTCOMES OF WARFARIN THERAPY - LESSONS FROM THE REAL-WORLD
    BEYTH, RJ
    LANDEFELD, CS
    [J]. MAYO CLINIC PROCEEDINGS, 1995, 70 (08) : 806 - 808
  • [43] Editorial: Real-world data and real-world evidence in lung cancer
    Gristina, Valerio
    Eze, Chukwuka
    [J]. FRONTIERS IN ONCOLOGY, 2024, 14
  • [44] Ibis: Real-World Problem Solving using Real-World Grids
    Bal, H. E.
    Drost, N.
    Kemp, R.
    Maassen, J.
    van Nieuwpoort, R. V.
    van Reeuwijk, C.
    Seinstra, F. J.
    [J]. 2009 IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL & DISTRIBUTED PROCESSING, VOLS 1-5, 2009, : 1831 - 1838
  • [45] Inaccurate Real-World Data Does Not Provide Real-World Answers
    Buffet, Gabriela
    Mendoza-Sassi, Raul
    Fysekidis, Marinos
    [J]. AMERICAN JOURNAL OF THERAPEUTICS, 2021, 28 (05) : E596 - E598
  • [46] Editorial: Real-world data and real-world evidence in hematologic malignancies
    Malagola, Michele
    Ohgami, Robert
    Greco, Raffaella
    [J]. FRONTIERS IN ONCOLOGY, 2023, 13
  • [47] When can real-world data generate real-world evidence?
    Rahman, Motiur
    Dal Pan, Gerald
    Stein, Peter
    Levenson, Mark
    Kraus, Stefanie
    Chakravarty, Aloka
    Rivera, Donna R.
    Forshee, Richard
    Concato, John
    [J]. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2024, 33 (01)
  • [48] Commentary - The development of real-world knowledge and reasoning in real-world contexts
    Ceci, SJ
    [J]. DEVELOPMENTAL REVIEW, 2002, 22 (02) : 323 - 330
  • [49] Real-World Computer Vision for Real-World Applications: Challenges and Directions
    Tabkhi, Hamed
    [J]. INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 1, 2023, 542 : 727 - 750
  • [50] Real-World or Controlled Clinical Trial Data in Real-World Practice
    Wu, Ting-Hui
    Yang, James Chih-Hsin
    [J]. JOURNAL OF THORACIC ONCOLOGY, 2018, 13 (04) : 470 - 472