| Title |
A CTSA Agenda to Advance Methods for Comparative Effectiveness Research
|
|---|---|
| Published in |
CTS: Clinical & Translational Science, June 2011
|
| DOI | 10.1111/j.1752-8062.2011.00282.x |
| Pubmed ID | |
| Authors |
Mark Helfand, Sean Tunis, Evelyn P. Whitlock, Stephen G. Pauker, Anirban Basu, Jon Chilingerian, Frank E. Harrell, David O. Meltzer, Victor M. Montori, Donald S. Shepard, David M. Kent, The Methods Work Group of the National CTSA Strategic Goal Committee on Comparative Effectiveness Research |
| Abstract |
Clinical research needs to be more useful to patients, clinicians, and other decision makers. To meet this need, more research should focus on patient-centered outcomes, compare viable alternatives, and be responsive to individual patients' preferences, needs, pathobiology, settings, and values. These features, which make comparative effectiveness research (CER) fundamentally patient-centered, challenge researchers to adopt or develop methods that improve the timeliness, relevance, and practical application of clinical studies. In this paper, we describe 10 priority areas that address 3 critical needs for research on patient-centered outcomes (PCOR): (1) developing and testing trustworthy methods to identify and prioritize important questions for research; (2) improving the design, conduct, and analysis of clinical research studies; and (3) linking the process and outcomes of actual practice to priorities for research on patient-centered outcomes. We argue that the National Institutes of Health, through its clinical and translational research program, should accelerate the development and refinement of methods for CER by linking a program of methods research to the broader portfolio of large, prospective clinical and health system studies it supports. Insights generated by this work should be of enormous value to PCORI and to the broad range of organizations that will be funding and implementing CER. |
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Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 15% |
| Student > Ph. D. Student | 10 | 14% |
| Student > Master | 8 | 11% |
| Professor > Associate Professor | 7 | 10% |
| Student > Doctoral Student | 5 | 7% |
| Other | 16 | 23% |
| Unknown | 14 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 35% |
| Nursing and Health Professions | 7 | 10% |
| Social Sciences | 6 | 8% |
| Business, Management and Accounting | 4 | 6% |
| Economics, Econometrics and Finance | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 16 | 23% |