Supporting implementation of evidence-based behavioral interventions: The role of data liquidity in facilitating translational behavioral medicine

Translational Behavioral Medicine

Volumn 1, Issue 1, 2011, Pages 45-52

  Abernethy, Amy P ^a,b   Wheeler, Jane L ^a   Courtney, Paul K ^c   Keefe, Francis J ^a  

^a DUKE UNIVERSITY MEDICAL CENTER   (United States)

^b FLINDERS UNIVERSITY   (Australia)

^c SAIC FREDERICK INC   (United States)

Author keywords

Data liquidity; Health information systems; Translational behavioral medicine

Indexed keywords

ANALYTICAL PARAMETERS; ARTICLE; BEHAVIORAL MEDICINE; DATA BASE; DATA COLLECTION METHOD; DATA LIQUIDITY; EVIDENCE BASED PRACTICE; HEALTH CARE SYSTEM; INFORMATION PROCESSING; MEDICAL INFORMATION SYSTEM; MEDICAL RECORD; PRIORITY JOURNAL; RELIABILITY; TRANSLATIONAL BEHAVIORAL MEDICINE;

EID: 80051719048     PISSN: 18696716     EISSN: 16139860     Source Type: Journal    
DOI: 10.1007/s13142-011-0024-4     Document Type: Article

References (39)

1. Abernethy, A. P., & Wheeler, J. L. (2011). True translational research: Bridging the three phases of translation through data and behavior. Translational Behavioral Medicine. doi: 10. 1007/s13142-010-0013-z.
2. Sung, N. S., Crowley, W. F., Jr., Genel, M., et al. (2003). Central challenges facing the national clinical research enterprise. JAMA, 289(10), 1278-1287.
3. Dougherty, D., & Conway, P. H. (2008). The "3T's" road map to transform US health care: The "how" of high-quality care. Jama, 299(19), 2319-2321.
4. DeWalt, D. A., Davis, T. C., Wallace, A. S., et al. (2009). Goal setting in diabetes self-management: Taking the baby steps to success. Patient Education and Counseling, 77(2), 218-223.
5. Kim, M. T., Han, H. R., Song, H. J., et al. (2009). A community-based, culturally tailored behavioral intervention for Korean Americans with type 2 diabetes. The Diabetes Educator, 35(6), 986-994.
6. Curry, S. J., Keller, P. A., Orleans, C. T., & Fiore, M. C. (2008). The role of health care systems in increased tobacco cessation. Annual Review of Public Health, 29, 411-428.
7. Fiore, M. C., & Jaen, C. R. (2008). A clinical blueprint to accelerate the elimination of tobacco use. Jama, 299(17), 2083-2085.
8. Fiore, M. C., Keller, P. A., & Curry, S. J. (2007). Health system changes to facilitate the delivery of tobacco-dependence treatment. American Journal of Preventive Medicine, 33(6 Suppl), S349-S356.
9. Smith, S. S., McCarthy, D. E., Japuntich, S. J., et al. (2009). Comparative effectiveness of 5 smoking cessation pharmacotherapies in primary care clinics. Archives of Internal Medicine, 169(22), 2148-2155.
10. Slutsky, J. R. (2007). Moving closer to a rapid-learning health care system. Health Affairs, 26(2), w122-w124.
11. Cukier K. A special report on managing information: Data, data everywhere. The Economist. Accessed July 9, 2010 at http://www. citeulike. org/user/isp/article/6744432?citation_format=apa#2010.
12. Gray, J. A. (1998). Where's the chief knowledge officer? To manage the most precious resource of all. BMJ, 317(7162), 26.
13. Gray, J. A., & de Lusignan, S. (1999). Information in practice: national electronic library for health (NELH). BMJ, 319, 1476-1479.
14. Abernethy, A. P., Coeytaux, R. R., Carson, K., et al. (2009). Technology assessment: Report on the evidence regarding off-label indications for targeted therapies used in cancer treatment. Rockville: Agency for Healthcare Quality and Research, U. S. Department of Health and Human Services.
15. Tunis, S. R., Stryer, D. B., & Clancy, C. M. (2003). Practical clinical trials: Increasing the value of clinical research for decision making in clinical and health policy. Jama, 290(12), 1624-1632.
16. Shneiderman, B. (1993). Designing the user interface: Strategies for effective human-computer interaction. Reading: Addison-Wesley.
17. Greitzer, F. L., Dauenhauer, P. M., Wierks, T. G. D., & Podmore, R. (2009). Human factors evaluation of advanced electric power grid visualization tools richland, WA: PNNL-18386, Pacific Northwest National Laboratory.
18. Patel, V. L., & Currie, L. M. (2006). Clinical cognition and biomedical informatics: Issues of patient safety. Studies in Health Technology and Informatics, 122, 18-22.
19. Thew, S., Sutcliffe, A., Procter, R., et al. (2009). Requirements engineering for E-science: Experiences in epidemiology. IEEE Software, 26(1), 80-87.
20. Holbrook, T. L., Galarneau, M. R., Dye, J. L., Quinn, K., & Dougherty, A. L. (2010). Morphine use after combat injury in Iraq and post-traumatic stress disorder. The New England Journal of Medicine, 362(2), 110-117.
21. Penfield, S. L., Anderson, K. M., Edmunds, M., & Belanger, M. (2009). Toward health information liquidity: realization of better, more efficient care from the free flow of health information: Booz Allen Hamilton, Inc.
22. Pignone, M., DeWalt, D. A., Sheridan, S., Berkman, N., & Lohr, K. N. (2005). Interventions to improve health outcomes for patients with low literacy. A systematic review. Journal of General Internal Medicine, 20(2), 185-192.
23. NIMH Multisite HIV/STD Prevention Trial for African American Couples Group. (2008). Eban health promotion intervention: Conceptual basis and procedures. Journal of Acquired Immune Deficiency Syndromes, 49(1), 1.
24. http://www. patientslikeme. com/.
25. Microsoft. Personal Home-HealthVault. 2010; http://www. healthvault. com/personal/index. aspx. Accessed December 13, 2010.
26. About Google Health. http://www. google. com/intl/en-US/health/about/. Accessed December 15, 2010.
27. Johnson, J. D., Case, D. O., Andrews, J. E., & Allard, S. L. (2005). Genomics-the perfect information-seeking research problem. Journal of Health Communication, 10(4), 323-329.
28. Fisher, E. B., Brownson, C. A., O'Toole, M. L., Shetty, G., Anwuri, V. V., & Glasgow, R. E. (2005). Ecological approaches to self-management: The case of diabetes. American Journal of Public Health, 95(9), 1523-1535.
29. Green, C. J., Fortin, P., Maclure, M., Macgregor, A., & Robinson, S. (2006). Information system support as a critical success factor for chronic disease management: Necessary but not sufficient. International Journal of Medical Informatics, 75(12), 818-828.
30. O'Reilly T. The Architecture of Participation. 2004; http://www. oreillynet. com/pub/a/oreilly/tim/articles/architecture_of_participation. html. Accessed December 14, 2010.
31. Moser, R. P. (2011). The grid-enabled measures (GEM) database: A science 2. 0 tool to facilitate the use of standardized measures and sharing harmonized data. American Journal of Preventive Medicine (in press).
32. National Cancer Institute; Division of Cancer Control and Population Science. PopSciGrid Community Health Data Portal. http://cancercontrol. cancer. gov/hcirb/cyberinfrastructure/popsci. html. Accessed December 14, 2010.
33. Forman, M. R., Greene, S. M., Avis, N. E., et al. (2010). Bioinformatics: Tools to accelerate population science and disease control research. American Journal of Preventive Medicine, 38(6), 646-651.
34. Society for Behavioral Medicine. Translational Behavioral Medicine: Practice, Policy, Research. Facebook page. Accessed July 9, 2010 at http://www. facebook. com/pages/Translational-Behavioral-Medicine-Practice-Policy-Research/117857348230430#!/pages/Translational-Behavioral-Medicine-Practice-Policy-Research/117857348230430?v=info.
35. Kazdin, A. E. (1983). Single-case research designs in clinical child psychiatry. Journal of the American Academy of Child Psychiatry, 22(5), 423-432.
36. Abernethy, A. P., Keefe, F. J., McCrory, D. C., Scipio, C. D., & Matchar, D. B. (2005). Technology assessment on the use of behavioral therapies for treatment of medical disorders: Part 2-Impact on management of patients with cancer pain. Rockville: Agency for Healthcare Quality and Research, U. S. Department of Health and Human Services.
37. Uronis, H. E., Currow, D. C., McCrory, D. C., Samsa, G. P., & Abernethy, A. P. (2008). Oxygen for relief of dyspnoea in mildly- or non-hypoxaemic patients with cancer: A systematic review and meta-analysis. British Journal of Cancer, 98(2), 294-299.
38. Abernethy, A. P., Samsa, G. P., & Matchar, D. B. (2003). A clinical decision and economic analysis model of cancer pain management. The American Journal of Managed Care, 9(10), 651-664.
39. Hesse, B. W., Ahern, B. K., & Woods, S. S. (2011). Nudging best practice: The HITECH act and behavioral medicine. Translational Behavioral Medicine. doi: 10. 1007/s13142-010-0001-3.