A framework for understanding cancer comparative effectiveness research data needs

被引:19
作者
Carpenter, William R. [1 ,2 ,3 ]
Meyer, Anne-Marie [2 ,3 ]
Abernethy, Amy P. [4 ,5 ]
Stuermer, Til [2 ,6 ]
Kosorok, Michael R. [3 ,7 ]
机构
[1] Univ N Carolina, Dept Hlth Policy & Management, Gillings Sch Global Publ Hlth, Chapel Hill, NC 27599 USA
[2] Univ N Carolina, Cecil G Sheps Ctr Hlth Serv Res, Chapel Hill, NC 27514 USA
[3] Univ N Carolina, Lineberger Comprehens Canc Ctr, Chapel Hill, NC 27599 USA
[4] Duke Univ, Dept Med, Div Med Oncol, Durham, NC 27710 USA
[5] Duke Univ, Duke Canc Inst, Durham, NC 27710 USA
[6] Univ N Carolina, Dept Epidemiol, Gillings Sch Global Publ Hlth, Chapel Hill, NC 27599 USA
[7] Univ N Carolina, Dept Biostat, Gillings Sch Global Publ Hlth, Chapel Hill, NC 27599 USA
关键词
Cancer; Comparative effectiveness research; Data models; Outcomes; Registries; Research methods; Secondary data; Non-experimental data; HEALTH-INSURANCE PORTABILITY; QUALITY-OF-CARE; ACCOUNTABILITY ACT; AMERICAN RECOVERY; REINVESTMENT ACT; INFORMATICS; SURVIVAL; POLICY; HIPAA; PROVISIONS;
D O I
10.1016/j.jclinepi.2012.06.005
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
Objectives: Randomized controlled trials remain the gold standard for evaluating cancer intervention efficacy. Randomized trials are not always feasible, practical, or timely and often don't adequately reflect patient heterogeneity and real-world clinical practice. Comparative effectiveness research can leverage secondary data to help fill knowledge gaps randomized trials leave unaddressed; however, comparative effectiveness research also faces shortcomings. The goal of this project was to develop a new model and inform an evolving framework articulating cancer comparative effectiveness research data needs. Study Design and Setting: We examined prevalent models and conducted semi-structured discussions with 76 clinicians and comparative effectiveness research researchers affiliated with the Agency for Healthcare Research and Quality's cancer comparative effectiveness research programs. Results: A new model was iteratively developed and presents cancer comparative effectiveness research and important measures in a patient-centered, longitudinal chronic care model better reflecting contemporary cancer care in the context of the cancer care continuum, rather than a single-episode, acute-care perspective. Conclusion: Immediately relevant for federally funded comparative effectiveness research programs, the model informs an evolving framework articulating cancer comparative effectiveness research data needs, including evolutionary enhancements to registries and epidemiologic research data systems. We discuss elements of contemporary clinical practice, methodology improvements, and related needs affecting comparative effectiveness research's ability to yield findings clinicians, policy makers, and stakeholders can confidently act on. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:1150 / 1158
页数:9
相关论文
共 76 条
  • [1] Rapid-Learning System for Cancer Care
    Abernethy, Amy P.
    Etheredge, Lynn M.
    Ganz, Patricia A.
    Wallace, Paul
    German, Robert R.
    Neti, Chalapathy
    Bach, Peter B.
    Murphy, Sharon B.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2010, 28 (27) : 4268 - 4274
  • [2] Aday L., 2004, EVALUATING HEALTHCAR
  • [3] [Anonymous], ENH DAT SYST IMPR QU
  • [4] [Anonymous], FED HLTH INF TECHN S
  • [5] [Anonymous], C BUDG OFF PUB
  • [6] [Anonymous], ASS QUAL CANC CAR AP
  • [7] [Anonymous], 2010, FDN EV DRIV PRACT RA
  • [8] [Anonymous], 1999, ENSURING QUALITY CAN
  • [9] [Anonymous], EFF HLTH CAR PROGR W
  • [10] [Anonymous], HIPAA PRIV RUL ENH P