Automated matching software for clinical trials eligibility: Measuring efficiency and flexibility

Contemporary Clinical Trials

Volumn 31, Issue 3, 2010, Pages 207-217

  Penberthy, Lynne ^a   Brown, Richard ^a   Puma, Federico ^a   Dahman, Bassam ^a  

^a VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

Author keywords

Automation; Clinical trials; Eligibility

Indexed keywords

ARTICLE; AUTOMATION, COMPUTERS AND DATA PROCESSING; CLINICAL TRIAL; COMPUTER PROGRAM; CONTROLLED STUDY; COST; CRITERION VARIABLE; ELECTRONIC MEDICAL RECORD; HUMAN; MEDICAL RESEARCH; RESEARCH SUBJECT; SCREENING;

ADOLESCENT; ADULT; CLINICAL TRIALS AS TOPIC; CONSUMER PARTICIPATION; FEMALE; HUMANS; MALE; MIDDLE AGED; PATIENT SELECTION; PILOT PROJECTS; RESEARCH DESIGN; RETROSPECTIVE STUDIES; SOFTWARE; YOUNG ADULT;

EID: 77950867408     PISSN: 15517144     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cct.2010.03.005     Document Type: Article

References (39)

1. Ellis P., Butow PN T.M.H.N., and Dunn S.M. Accrual to clinical trials in breast cancer. Annual Scientific Meeting of the Clinical Oncological Society of Australia (1996), Brisbane, Australia
2. Lara Jr. P.N., Higdon R., Lim N., Kwan K., Tanaka M., Lau D.H., et al. Prospective evaluation of cancer clinical trial accrual patterns: identifying potential barriers to enrollment. J Clin Oncol 19 6 (2001) 1728-1733
3. Avis N.E., Smith K.W., Link C.I., Hortobagyi G.N., and Rivera N. Factors associated with participation in breast cancer clinical trials. J Clin Oncol 24 12 (2006) 1860-1867
4. Kolata G. Forty years' war: lack of study volunteers hobbles cancer fight. New York Times. 2009 August 3.
5. Winn R.J. Obstacles to the accrual of patients to clinical trials in the community setting. Semin Oncol 21 4 suppl 7 (1994) 112-117
6. McDonald A.M., Knight R.C., et al. What Influences recruitment to randomized controlled trials? A review of trials funded by two UK funding agencies. Trials 7 (2006) 9
7. Eastbrook P.J., and Mathews D.R. Fate of research studies. J R Soc Med 85 (1992) 71-76
8. Marks L., and Power E. Using technology to address recruitment issues in the clinical trial process. Trends Biotechnol 20 3 (2002) 105-109
9. Robinson J.M., and Trochim W.M.K. An examination of community members', researchers' and heath professionals' perceptions of barriers to minority participation in medical research: an application of concept mapping. Ethn Health 12 5 (2007) 521-539
10. Murthy V.H., Krumholz H.M., and Gross C.P. Participation in cancer clinical trials: race-, sex-, and age-based disparities. JAMA 291 22 (2004) 2720-2726
11. Goodwin P.J., Leszcz M., Quirt G., et al. Lessons learned from enrollment in the BEST study-a multi-center randomized trial of group psychosocial support in metastatic breast cancer. J Clin Epidemiol 53 (2000) 47-55
12. Peelen L., Peek N., et al. The use of registry database in clinical trial design: assessing the influence of entry criteria on statistical power and number of eligible patients. Intl. J. of Med. Inf. 76 (2007) 176-183
13. Blanco C., Olfson M., Goodwin R.D., et al. Generalizibility of clinical trial results for major depression to community samples. J Clin Psychiatry. 69 8 (2008) 1276-1280
14. Albrecht T.L., Eggly S.S., Gleason M.E., Harper F.W., Foster T.S., Peterson A.M., et al. Influence of clinical communication on patients' decision making on participation in clinical trials. J Clin Oncol 26 16 (2008) 2666-2673
15. Dugas M., Lange M., Berdel W.E., and Müller-Tidow C. Workflow to improve patient recruitment for clinical trials within hospital information systems-a case-study. Trials 9 (2008) 2
16. Fink E., Kokku P.K., Nikiforou S., Hall L.O., Goldgof D.B., and Krischer J.P. Selection of patients for clinical trials: an interactive web-based system. Artif Intell Med 31 3 (2004) 241-245
17. Afrin L.B., Kuppuswamy V., Slatter B., and Stuart R.K. Electronic clinical trial protocol distribution via the world-wide web: a prototype for reducing costs and errors, improving accrual and saving trees. J Am Med Inform Assoc 4 1 (1997) 25-35
18. Campbell E.G., Weissman J.S., Moy E., and Blumenthal D. Status of clinical research in academic research centers. JAMA 286 7 (2001) 800-806
19. Sung N.S., Crowley Jr. W.F., Genel M., et al. Central challenges facing the national clinical research enterprise. JAMA 289 10 (2003) 1278-1287
20. Butte AJ W.D.A., and Kohane I.S. Enrolling patients into clinical trials faster using Real Time Recruiting. Proc AMIA Symp (2000) 11-115
21. Weiner D.L., Butte A.J., Hibberd P.L., and Fleisher G.R. Computerized recruiting for clinical trials in real time. Ann Emerg Med Feb 41 2 (2003) 242-246
22. Embi P.J., Jain A., Clark J., Bizjack S., Hornung R.W., and Harris C.M. Effect of a clinical trial alert system on physician participation in trial recruitment. Arch Intern Med 165 19 (2005) 2272-2277
23. Ding J., Erdal S., Borlawsky T., Liu J., Golden-Kreutz D., Kamal J., and Payne P.R. The design of a pre-encounter clinical trial screening tool: ASAP. AMIA Annu Symp Proc. 6 (2008 Nov) 931
24. Borlawsky T., and Payne P.R. Evaluating an NLP-based approach to modeling computable clinical trial eligibility criteria. AMIA Annu Symp Proc. 11 (2007 Oct) 878
25. Kamal J., Pasuparthi K., Rogers P., Buskirk J., and Mekhjian H. Using an information warehouse to screen patients for clinical trials: a prototype. AMIA Annu Symp Proc. (2005) 1004
26. Gennari JH S.D., and Silva J. Cross-tool communication: from protocol authoring to eligibility determination. Proc AMIA Symp. (2001) 199-203
27. Vahabzadeh M., Lin J.L., Mezghanni M., Contoreggi C., and Leff M. A clinical recruiting management system for complex multi-site clinical trials using qualification decision support systems. AMIA Annu Symp Proc. 11 (2007 Oct) 1141
28. Jha A.K., DesRoches C.M., Campbell E.G., Donelan K., Rao S.R., Ferris T.G., Shields A., Rosenbaum S., and Blumenthal D. Use of electronic health records in U.S. hospitals. N Engl J Med. 360 16 (2009 Apr 16) 1628-1638
29. Warren JL H.L.C., Fahey A., et al. Utility of the SEER-Medicare data to identify chemotherapy use. IV. Med Care 40 8 Suppl (2002) 55-61
30. Lamont E.B., Herndon II J.E., Weeks J.C., et al. Criterion validity of Medicare chemotherapy claims in cancer and leukemia group B breast and lung cancer trial participants. J Natl Cancer Inst 97 14 (2005) 1080-1083
31. Lamont E.B., Lauderdale D.S., Schilsky R.L., and Christakis N.A. Construct validity of Medicare chemotherapy claims: the case of 5FU. Med Care 40 3 (2002) 201-211
32. Du X.L., Key C.R., Dickie L., Darling R., Geraci J.M., and Zhang D. External validation of Medicare claims for breast cancer chemotherapy compared with medical chart reviews. Med Care 44 2 (2006) 124-131
33. McClish D.K., Penberthy L., Whittemore M., et al. Ability of Medicare claims data and cancer registries to identify cancer cases and treatment. Am J Epi 145 3 (1997) 227-233
34. Penberthy L., McClish D., Pugh A., Smith W., Manning C., and Retchin S. Using hospital discharge files to enhance cancer surveillance. Am J Epi 158 1 (2003) 27-34
35. Fink E., Kokku P.K., Nikiforou S., Hall L.O., Goldgof D.B., and Krischer J.P. Selection of patients for clinical trials: an interactive web-based system. Artif Intell Med 31 3 (2004 Jul) 241-254
36. Ash N., Ogunyemi O., Zeng Q., and Ohno-Machado L. Finding appropriate clinical trials: evaluating encoded eligibility criteria with incomplete data. Proc AMIA Symp. (2001) 27-31
37. Pressler S., Subramanian U., et al. Research in patients with heart failure: challenges in recruitment. Amer. J. of Critical Care Vol. 17 (2008) 3
38. Ford J.G., Howerton M.W., Lai G.Y., et al. Barriers to recruiting underrepresented populations to cancer clinical trials: a systematic review. Cancer 115 2 (2008) 228-242
39. Go R.S., Frisby K.A., Lee J.A., et al. Clinical trial accrual among new cancer patients at a community-based cancer center. Cancer 106 2 (2006) 426-433