Knowledge, attitudes, and self-efficacy as predictors of preparedness for oncology clinical trials: A mediational model

Medical Decision Making

Volumn 34, Issue 4, 2014, Pages 454-463

  Manne, Sharon ^a   Kashy, Deborah ^b   Albrecht, Terrance ^c   Wong, Yu Ning ^d   Flamm, Anne Lederman ^e   Benson, Al B ^f   Miller, Suzanne M ^d   Fleisher, Linda ^d   Buzaglo, Joanne ^g   Roach, Nancy ^h   Katz, Michael ⁱ   Ross, Eric ^d   Collins, Michael ^j   Poole, David ^d   Raivitch, Stephanie ^d   Miller, Dawn M ^k   Kinzy, Tyler G ^l   Liu, Tasnuva ^l   Meropol, Neal J ^k  

^a RUTGERS CANCER INSTITUTE OF NEW JERSEY   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

^c WAYNE STATE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d FOX CHASE CANCER CENTER   (United States)

^e LERNER RESEARCH INSTITUTE   (United States)

^f NORTHWESTERN UNIVERSITY   (United States)

^g Cancer Support Community   (United States)

^h C3: Colorectal Cancer Coalition   (United States)

ⁱ International Myeloma Foundation   (United States)

^j MEDICAL COLLEGE OF WISCONSIN   (United States)

^k CASE WESTERN RESERVE UNIVERSITY   (United States)

^l UNIVERSITY HOSPITALS OF CLEVELAND   (United States)

more..

Author keywords

cancer clinical trials; cancer patients; Ottawa Decision Support Framework

Indexed keywords

AGE; AGED; ATTITUDE TO HEALTH; CLINICAL TRIAL (TOPIC); FEMALE; HUMAN; MALE; MIDDLE AGED; NEOPLASMS; PSYCHOLOGY; RESEARCH SUBJECT; SELF CONCEPT; SEX DIFFERENCE;

AGE FACTORS; AGED; CLINICAL TRIALS AS TOPIC; FEMALE; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HUMANS; MALE; MIDDLE AGED; NEOPLASMS; RESEARCH SUBJECTS; SELF EFFICACY; SEX FACTORS;

EID: 84899551450     PISSN: 0272989X     EISSN: 1552681X     Source Type: Journal    
DOI: 10.1177/0272989X13511704     Document Type: Article

References (48)

1. Centers for Disease Control. Leading causes of death. 2012. Available from: URL: http://www.cdc.gov/nchs/fastats/lcod.htm
2. Lara PN, Higdon R, Lim N, et al. Prospective evaluation of cancer clinical trial accrual patterns: identifying potential barriers to enrollment. J Clin Oncol. 2001 ; 19 (6). 1728-33
3. Simon MS, Du W, Flaherty L, et al. Factors associated with breast cancer clinical trials participation and enrollment at a large academic medical center. J Clin Oncol. 2004 ; 22 (11). 2046-52
4. Meropol NJ, Buzaglo JS, Millard J, et al. Barriers to clinical trial participation as perceived by oncologists and patients. J Natl Compr Canc Netw. 2007 ; 5 (8). 655-64
5. Wright JR, Whelan TJ, Schiff S, et al. Why cancer patients enter randomized clinical trials: exploring the factors that influence their decision. J Clin Oncol. 2004 ; 22 (21). 4312-8
6. Klabunde CN, Springer BC, Butler B, White MS, Atkins J. Factors influencing enrollment in clinical trials for cancer treatment. South Med J. 1999 ; 92 (12). 1189-93
7. Melisko ME, Hassin F, Metzroth L, et al. Patient and physician attitudes toward breast cancer clinical trials: developing interventions based on understanding barriers. Clin Breast Cancer. 2005 ; 6 (1). 45-54
8. Mills EJ, Seely D, Rachlis B, et al. Barriers to participation in clinical trials of cancer: a meta-analysis and systematic review of patient-reported factors. Lancet Oncol. 2006 ; 7 (2). 141-8
9. Quinn GP, Koskan A, Wells KJ, et al. Cancer patients' fears related to clinical trial participation: a qualitative study. J Cancer Educ. 2012 ; 27 (2). 257-62
10. O'Connor AM. Validation of a decisional conflict scale. Med Decis Making. 1995 ; 15 (1). 25-30
11. O'Connor AM. Consumer/patient decision support in the new millennium: where should our research take us?. Can J Nurs Res. 1997 ; 29 (3). 7-19
12. O'Connor AM, Tugwell P, Wells GA, et al. Randomized trial of a portable, self-administered decision aid for postmenopausal women considering long-term preventive hormone therapy. Med Decis Making. 1998 ; 18 (3). 295-303
13. O'ConnorAMJacobsenMJ. Decisional conflict: supporting people experiencing uncertainty about options affecting their health. 2007. Available from: URL: http://homeless.ehclients.com/images/uploads/W-2-Ottawa-Decision-Making-tool- Reading-1.pdf
14. Health Educ Monogr. Becker MH, ed. 1974: 324-473.
15. Janz NK, Becker MH. The health belief model: a decade later. Health Educ Q. 1984 ; 11 (1). 1-47
16. Janis IL, Mann L. Emergency decision making: a theoretical analysis of responses to disaster warnings. J Human Stress. 1977 ; 3 (2). 35-45
17. Ajzen I Kuhl J Beckman J, ed. Heidelberg, Germany: Springer; ; 1985: 11-39.
18. Ajzen I. The theory of planned behavior. Org Behav Hum Decis Process. 1991 ; 50: 179-211
19. Jacobsen PB, Wells KJ, Meade CD, et al. Effects of a brief multimedia psychoeducational intervention on the attitudes and interest of patients with cancer regarding clinical trial participation: a multicenter randomized controlled trial. J Clin Oncol. 2012 ; 30 (20). 2516-21
20. Manne SL, Meropol NJ, Weinberg DS, et al. Facilitating informed decisions regarding microsatellite instability testing among high-risk individuals diagnosed with colorectal cancer. J Clin Oncol. 2010 ; 28 (8). 1366-72
21. Bennett C, Graham ID, Kristjansson E, Kearing SA, Clay KF, O'Connor AM. Validation of a preparation for decision making scale. Patient Educ Couns. 2010 ; 78 (1). 130-3
22. Miller SM, Hudson SV, Egleston BL, et al. The relationships among knowledge, self-efficacy, preparedness, decisional conflict, and decisions to participate in a cancer clinical trial. Psychooncology. 2013 ; 22 (3). 481-9
23. Rosenstock IM, Strecher VJ, Becker MH. Social learning theory and the health belief model. Health Educ Q. 1988 ; 15 (2). 175-83
24. Miller SM, Shoda Y, Hurley K. Applying cognitive-social theory to health-protective behavior: breast self-examination in cancer screening. Psychol Bull. 1996 ; 119 (1). 70-94
25. Farmer MA, Meston CM. Predictors of condom use self-efficacy in an ethnically diverse university sample. Arch Sex Behav. 2006 ; 35 (3). 313-26
26. Coleman CL, Ball K. Predictors of self-efficacy to use condoms among seropositive middle-aged African American men. West J Nurs Res. 2009 ; 31 (7). 889-904
27. Hovey RB, Cuthbertson KE, Birnie KA, et al. The influence of distress on knowledge transfer for men newly diagnosed with prostate cancer. J Cancer Educ. 2012 ; 27 (3). 540-5
28. King L, O'Neill SC, Spellman E, et al. Intentions for bilateral mastectomy among newly diagnosed breast cancer patients. J Surg Oncol. 2013 ; 107 (7). 772-6
29. Rini C, O'Neill SC, Valdimarsdottir H, et al. Cognitive and emotional factors predicting decisional conflict among high-risk breast cancer survivors who receive uninformative BRCA1/2 results. Health Psychol. 2009 ; 28 (5). 569-78
30. Meropol N, Albrecht T, Wong Y, et al. Randomized trial of a web-based intervention to address barriers to clinical trials. J Clin Oncol. 2013 ; 31 :
31. Davis SW, Nealon EO, Stone JC. Evaluation of the National Cancer Institute's clinical trials booklet. J Natl Cancer Inst Monogr. 1993 ; (14). 139-45
32. Eads JR, Albrech T, Egleston B, et al. Identification of barriers to clinical trials: the impact of education level. J Clin Oncol. 2011 ; 29 :
33. Bunn H, O'Connor A. Validation of client decision-making instruments in the context of psychiatry. Can J Nurs Res. 1996 ; 28 (3). 13-27
34. Cranney A, O'Connor AM, Jacobsen MJ, et al. Development and pilot testing of a decision aid for postmenopausal women with osteoporosis. Patient Educ Couns. 2002 ; 47 (3). 245-55
35. Grant FC, Laupacis A, O'Connor AM, Rubens F, Robblee J. Evaluation of a decision aid for patients considering autologous blood donation before open-heart surgery. CMAJ. 2001 ; 164 (8). 1139-44
36. Stacey D, O'Connor AM, DeGrasse C, Verma S. Development and evaluation of a breast cancer prevention decision aid for higher-risk women. Health Expect. 2003 ; 6 (1). 3-18
37. Horowitz M, Wilner N, Alvarez W. Impact of Event Scale: a measure of subjective stress. Psychosom Med. 1979 ; 41 (3). 209-18
38. Baider L, Andritsch E, Uziely B, et al. Effects of age on coping and psychological distress in women diagnosed with breast cancer: review of literature and analysis of two different geographical settings. Crit Rev Oncol Hematol. 2003 ; 46 (1). 5-16
39. Posluszny DM, Edwards RP, Dew MA, Baum A. Perceived threat and PTSD symptoms in women undergoing surgery for gynecologic cancer or benign conditions. Psychooncology. 2011 ; 20 (7). 783-7
40. Preacher KJ, Hayes AF. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav Res Methods Instrum Comput. 2004 ; 36 (4). 717-31
41. Horowitz MJ Handbook of Stress: Theoretical and Clinical Aspects. Goldberger L Breznitz S, ed. New York: Free Press ; 1982: 711-32.
42. O'Connor AM, Jacobsen MJ, Stacey D. An evidence-based approach to managing women's decisional conflict. J Obstet Gynecol Neonatal Nurs. 2002 ; 31 (5). 570-81
43. Du W, Mood D, Gadgeel S, Simon MS. An educational video to increase clinical trials enrollment among lung cancer patients. J Thorac Oncol. 2008 ; 3 (1). 23-9
44. Sajid S, Kotwal AA, Dale W. Interventions to improve decision making and reduce racial and ethnic disparities in the management of prostate cancer: a systematic review. J Gen Intern Med. 2012 ; 27 (8). 1068-78
45. Hacking B, Wallace L, Scott S, Kosmala-Anderson J, Belkora J, McNeill A. Testing the feasibility, acceptability and effectiveness of a 'decision navigation' intervention for early stage prostate cancer patients in Scotland - a randomised controlled trial. Psychooncology. 2013 ; 22 (5). 1017-1024
46. Jacobsen R, Samsanaviciene J, Liuabarskiene Z, Sciupokas A. Barriers to pain management among Lithuanian cancer patients. Pain Pract. 2010 ; 10 (2). 145-57
47. O'Connor AM, Bennett CL, Stacey D, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2009 ; (3). CD001431
48. Noyes R, Kathol RG, Debelius-Enemark P, et al. Distress associated with cancer as measured by the illness distress scale. Psychosomatics. 1990 ; 31 (3). 321-30