- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03427177
Mychoice: Testing an Interactive mHealth Tool
Mychoice: Testing an Interactive mHealth Tool to Enhance Communication and Informed Decision Making About Clinical Trial Participation in Cancer Patients
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Evidence shows that although clinical trials are aimed at producing new strategies for reducing cancer morbidity and mortality, participation remains sub-optimal for all populations, especially those from racial and ethnic groups. Although some interventions have been found to be effective at enhancing participation, few studies have tested tailored communication activities using innovative communication techniques (perceptual mapping) with aims to address barriers and facilitators for patients and facilitate more engaged discussions with their providers in real world settings.
Participation in clinical trials is a serious and complex decision, and many patients of all races and backgrounds have limited knowledge and understanding of clinical trials as a treatment option. Although research has been conducted to explore the barriers to participation, there has been a call for more intervention research to address these barriers. A fundamental aspect of patient focused interventions is an exploration of their personal questions and concerns, without which it is difficult for patients to become empowered to participate in an informed or shared decision making process. However, there remains limited empirical research to suggest which messages are most salient to a diverse range of patients to improve decision making, and how decision tools can be tailored to enhance patient-provider communication. This research will provide insight into that process when the decision is participation in clinical trials.
Evidence shows that ethnic and racial minorities are significantly underrepresented in clinical trials, which is critical to producing new strategies for reducing cancer morbidity and mortality for all populations. Recognizing the complexity of barriers to participation in clinical trials, research has focused on potential strategies to enhance participation. Interventions have shown that provider referrals of minority patients, community outreach, acknowledging and addressing issues of trust, flexibility in intervention methods, and population targeted materials are effective. Few studies, however, have tested tailored communication activities to address barriers and facilitators for patients using innovative communication techniques in real world settings - meaning ways these activities can be integrated into the healthcare workflow - or addressed the unique needs of racial and ethnic minorities.
The mychoice communication tool begins to prepare patients to participate in a personal and tailored discussion with their provider about clinical trials as a potential treatment option. The tool is also customized to address the concerns of those least likely to participate, instead of providing a more general look at clinical trials- a common trait of other available tools. Previous research has shown that patient education before the first oncologist visit improves knowledge, attitudes, and preparation for decision making about clinical trials and integrating these tools into the clinical encounter is critical. In addition, using innovative communication techniques (perceptual mapping and vector modeling) to validate and explore notable messages across diverse cancer patients provided new insights into tailoring messages and personalizing patient/provider communication. Insight gained from validation of the intervention will improve the decision making process and inform a large scale integration of mychoice to affect patient perceptions and increase willingness to participate in clinical trials, especially in minority patients.
In addition, Investigators will assess barriers to implementation when introducing the tool in diverse cancer centers, each with different protocols and patient populations, to inform a future proposal. Using the Consolidated Framework for Implementation Science (CFIR), one of the predominant implementation science research frameworks, we will focus on five domains: intervention characteristics, outer settings, inner setting, characteristics of individuals (patients and providers), and process. Implementation science is becoming an important component of intervention implementation and we aim to use this framework to ensure success.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Pennsylvania
-
Philadelphia, Pennsylvania, United States, 19111
- Fox Chase Cancer Center
-
Philadelphia, Pennsylvania, United States, 19104
- University of Pennsylvania
-
Philadelphia, Pennsylvania, United States, 19107
- Thomas Jefferson University Hospital
-
Philadelphia, Pennsylvania, United States, 19121
- Temple University
-
Philadelphia, Pennsylvania, United States, 19140
- Temple University Health System
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- 18 years of age or over
- Active diagnosis of invasive cancer (any diagnoses), pre or post chemo/radiation/surgery
- Able to speak and read English
Exclusion Criteria:
- Participated in a therapeutic trial in the past
Study Plan
How is the study designed?
Design Details
- Primary Purpose: HEALTH_SERVICES_RESEARCH
- Allocation: RANDOMIZED
- Interventional Model: PARALLEL
- Masking: SINGLE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
EXPERIMENTAL: Treatment
Participants randomized to the treatment arm of the study will be given the mychoice tool.
|
The mychoice communication tool begins to prepare patients to participate in a personal and tailored discussion with their provider about clinical trials as a potential treatment option.
It is also customized to address the concerns of those least likely to participate, instead of providing a more general look at clinical trials- a common trait of other available tools.
|
NO_INTERVENTION: Control
Participants randomized to the control arm of the study will be given existing literature from the NCI that describes clinical trials (standard information for newly diagnosed cancer patients).
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Perceived Efficacy in Patient-Physician Interactions (PEPPI) Self-Efficacy Scale- Outcome Measure at Baseline, Post-test and One Month Follow-up
Time Frame: Baseline and post-test (both occur on same day, day 1), one month follow-up
|
10-item scale measuring patient confidence in communicating with their physician.
Participants respond to each question on a scale of 1 to 5, with 5 representing "very confident,'' and 1 representing "not at all confident."
The range of possible scores for the full PEPPI scale is 10 to 50 (50 representing highest patient-perceived self-efficacy).
|
Baseline and post-test (both occur on same day, day 1), one month follow-up
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
CollaboRATE Perceived Shared Decision Making Scale
Time Frame: 1 month follow-up
|
Measure of patient perceptions of physician effort to discuss concerns, 3 items. There is a possible range of 0-9 for each item. Higher scores represent more shared decision making. |
1 month follow-up
|
Shared Decision Making (SDM Q-9) Scale
Time Frame: 1 month follow-up
|
Measure of patient perception of shared decision making with provider (12 items). The instrument's statements are rated on a six-point scale from ''completely disagree'' (0) to ''completely agree'' (5). Higher means indicate higher levels of perceived shared decision making. |
1 month follow-up
|
Ottawa Decisional Conflict
Time Frame: Baseline and post-test (both occur on same day, day 1), one month follow-up
|
13 item measure to determine patient clarity on the risks and benefits of clinical trials, support from friends and family, and patient decision regarding cancer treatment.
Items are given a score value of: 0= 'strongly agree'; 2= 'neither agree nor disagree'; 3= 'disagree'; 4= 'strongly disagree' TOTAL SCORE 16 items [items 1-16 are inclusive] are: a) summed; b) divided by 16; and c) multiplied by 25.
Scores range from 0 [no decisional conflict] to 100 [extremely high decisional conflict]
|
Baseline and post-test (both occur on same day, day 1), one month follow-up
|
Preparation for Decision Making (PrepDM) Scale
Time Frame: Post test (day 1)
|
Measures preparedness of patient to make a decision (10 items) on a 1 "not at all" to 5 "a great deal" scale. Higher means indicated higher perceived level of preparation for decision making. |
Post test (day 1)
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Linda Fleisher, PhD, Fox Chase Cancer Center
- Principal Investigator: Sarah Bass, PhD, Temple
Publications and helpful links
General Publications
- O'Connor AM. Validation of a decisional conflict scale. Med Decis Making. 1995 Jan-Mar;15(1):25-30. doi: 10.1177/0272989X9501500105.
- Shavers VL, Lynch CF, Burmeister LF. Factors that influence African-Americans' willingness to participate in medical research studies. Cancer. 2001 Jan 1;91(1 Suppl):233-6. doi: 10.1002/1097-0142(20010101)91:1+3.0.co;2-8. Erratum In: Cancer 2001 Mar 15;91(6):1187.
- 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 Jan;78(1):130-3. doi: 10.1016/j.pec.2009.05.012. Epub 2009 Jun 26.
- Kriston L, Scholl I, Holzel L, Simon D, Loh A, Harter M. The 9-item Shared Decision Making Questionnaire (SDM-Q-9). Development and psychometric properties in a primary care sample. Patient Educ Couns. 2010 Jul;80(1):94-9. doi: 10.1016/j.pec.2009.09.034. Epub 2009 Oct 30.
- Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci. 2009 Aug 7;4:50. doi: 10.1186/1748-5908-4-50.
- Baquet CR, Henderson K, Commiskey P, Morrow JN. Clinical trials: the art of enrollment. Semin Oncol Nurs. 2008 Nov;24(4):262-9. doi: 10.1016/j.soncn.2008.08.006.
- Comis R, Crowley J. Baseline study of patient accrual onto publically sponsored U.S. cancer clinical trials: an analysis conducted for the global access project of the national patient advocate foundation, 2006.
- Michaels, M.S., S; ENACCT and Community-Campus Partnerships for Health, Communities as Partners in Cancer Clinical Trials: Changing Research, Practice and Policy. 2008: Silver Springs, MD.
- Weinberg, A.D. Eliminating Disparities in Clinical Trials. cited 2009 June 4th, 2009; Version 2: Available from: http://www.bcm.edu/edict/home.html.
- Colon-Otero G, Smallridge RC, Solberg LA Jr, Keith TD, Woodward TA, Willis FB, Dunn AN. Disparities in participation in cancer clinical trials in the United States : a symptom of a healthcare system in crisis. Cancer. 2008 Feb 1;112(3):447-54. doi: 10.1002/cncr.23201.
- Gadegbeku CA, Stillman PK, Huffman MD, Jackson JS, Kusek JW, Jamerson KA. Factors associated with enrollment of African Americans into a clinical trial: results from the African American study of kidney disease and hypertension. Contemp Clin Trials. 2008 Nov;29(6):837-42. doi: 10.1016/j.cct.2008.06.001. Epub 2008 Jun 27.
- Katz RV, Wang MQ, Green BL, Kressin NR, Claudio C, Russell SL, Sommervil C. Participation in biomedical research studies and cancer screenings: perceptions of risks to minorities compared with whites. Cancer Control. 2008 Oct;15(4):344-51. doi: 10.1177/107327480801500409.
- Mills EJ, Seely D, Rachlis B, Griffith L, Wu P, Wilson K, Ellis P, Wright JR. Barriers to participation in clinical trials of cancer: a meta-analysis and systematic review of patient-reported factors. Lancet Oncol. 2006 Feb;7(2):141-8. doi: 10.1016/S1470-2045(06)70576-9.
- Todd AM, Laird BJ, Boyle D, Boyd AC, Colvin LA, Fallon MT. A systematic review examining the literature on attitudes of patients with advanced cancer toward research. J Pain Symptom Manage. 2009 Jun;37(6):1078-85. doi: 10.1016/j.jpainsymman.2008.07.009. Epub 2009 May 5.
- Evelyn B, Toigo T, Banks D, Pohl D, Gray K, Robins B, Ernat J. Participation of racial/ethnic groups in clinical trials and race-related labeling: a review of new molecular entities approved 1995-1999. J Natl Med Assoc. 2001 Dec;93(12 Suppl):18S-24S.
- Stewart JH, Bertoni AG, Staten JL, Levine EA, Gross CP. Participation in surgical oncology clinical trials: gender-, race/ethnicity-, and age-based disparities. Ann Surg Oncol. 2007 Dec;14(12):3328-34. doi: 10.1245/s10434-007-9500-y. Epub 2007 Aug 8.
- Rivera-Goba MV, Dominguez DC, Stoll P, Grady C, Ramos C, Mican JM. Exploring decision-making of HIV-infected Hispanics and African Americans participating in clinical trials. J Assoc Nurses AIDS Care. 2011 Jul-Aug;22(4):295-306. doi: 10.1016/j.jana.2010.10.007. Epub 2011 Jan 21.
- Symonds RP, Lord K, Mitchell AJ, Raghavan D. Recruitment of ethnic minorities into cancer clinical trials: experience from the front lines. Br J Cancer. 2012 Sep 25;107(7):1017-21. doi: 10.1038/bjc.2012.240. Epub 2012 May 31.
- Schmotzer GL. Barriers and facilitators to participation of minorities in clinical trials. Ethn Dis. 2012 Spring;22(2):226-30.
- Advani AS, Atkeson B, Brown CL, Peterson BL, Fish L, Johnson JL, Gockerman JP, Gautier M. Barriers to the participation of African-American patients with cancer in clinical trials: a pilot study. Cancer. 2003 Mar 15;97(6):1499-506. doi: 10.1002/cncr.11213.
- Goldberg D. The case for Eliminating Disparities in Clinical Trials. J Cancer Educ. 2009;24(2 Suppl):S34-8. doi: 10.1007/BF03182310. No abstract available.
- Gross CP. Racial disparities in clinical trial enrolment. Lancet. 2008 Nov 15;372(9651):1713-4. doi: 10.1016/S0140-6736(08)61714-6. No abstract available.
- Newman LA, Roff NK, Weinberg AD. Cancer clinical trials accrual: missed opportunities to address disparities and missed opportunities to improve outcomes for all. Ann Surg Oncol. 2008 Jul;15(7):1818-9. doi: 10.1245/s10434-008-9869-2. Epub 2008 Apr 19. No abstract available.
- Ford JG, Howerton MW, Lai GY, Gary TL, Bolen S, Gibbons MC, Tilburt J, Baffi C, Tanpitukpongse TP, Wilson RF, Powe NR, Bass EB. Barriers to recruiting underrepresented populations to cancer clinical trials: a systematic review. Cancer. 2008 Jan 15;112(2):228-42. doi: 10.1002/cncr.23157.
- Gul RB, Ali PA. Clinical trials: the challenge of recruitment and retention of participants. J Clin Nurs. 2010 Jan;19(1-2):227-33. doi: 10.1111/j.1365-2702.2009.03041.x.
- Markman M, Petersen J, Montgomery R. An examination of the influence of patient race and ethnicity on expressed interest in learning about cancer clinical trials. J Cancer Res Clin Oncol. 2008 Jan;134(1):115-8. doi: 10.1007/s00432-007-0263-4. Epub 2007 Jun 28.
- Adderley-Kelly B, Green PM. Strategies for successful conduct of research with low-income African American populations. Nurs Outlook. 2005 May-Jun;53(3):147-52. doi: 10.1016/j.outlook.2005.03.004.
- Knobf MT, Juarez G, Lee SY, Sun V, Sun Y, Haozous E. Challenges and strategies in recruitment of ethnically diverse populations for cancer nursing research. Oncol Nurs Forum. 2007 Nov;34(6):1187-94. doi: 10.1188/07.ONF.1187-1194.
- Lai GY, Gary TL, Tilburt J, Bolen S, Baffi C, Wilson RF, Howerton MW, Gibbons MC, Tanpitukpongse TP, Powe NR, Bass EB, Ford JG. Effectiveness of strategies to recruit underrepresented populations into cancer clinical trials. Clin Trials. 2006;3(2):133-41. doi: 10.1191/1740774506cn143oa.
- Davis SW, Fleisher L, Ter Maat J, Muha C, Laepke K. Treatment and clinical trials decisionmaking: the impact of the Cancer Information Service. Part 5. J Health Commun. 1998;3 Suppl:71-85. doi: 10.1080/108107398127265.
- Meropol NJ, Wong YN, Albrecht T, Manne S, Miller SM, Flamm AL, Benson AB 3rd, Buzaglo J, Collins M, Egleston B, Fleisher L, Katz M, Kinzy TG, Liu TM, Margevicius S, Miller DM, Poole D, Roach N, Ross E, Schluchter MD. Randomized Trial of a Web-Based Intervention to Address Barriers to Clinical Trials. J Clin Oncol. 2016 Feb 10;34(5):469-78. doi: 10.1200/JCO.2015.63.2257. Epub 2015 Dec 23.
- Denicoff AM, McCaskill-Stevens W, Grubbs SS, Bruinooge SS, Comis RL, Devine P, Dilts DM, Duff ME, Ford JG, Joffe S, Schapira L, Weinfurt KP, Michaels M, Raghavan D, Richmond ES, Zon R, Albrecht TL, Bookman MA, Dowlati A, Enos RA, Fouad MN, Good M, Hicks WJ, Loehrer PJ Sr, Lyss AP, Wolff SN, Wujcik DM, Meropol NJ. The National Cancer Institute-American Society of Clinical Oncology Cancer Trial Accrual Symposium: summary and recommendations. J Oncol Pract. 2013 Nov;9(6):267-76. doi: 10.1200/JOP.2013.001119. Epub 2013 Oct 15.
- Maly RC, Frank JC, Marshall GN, DiMatteo MR, Reuben DB. Perceived efficacy in patient-physician interactions (PEPPI): validation of an instrument in older persons. J Am Geriatr Soc. 1998 Jul;46(7):889-94. doi: 10.1111/j.1532-5415.1998.tb02725.x.
- Barr PJ, Thompson R, Walsh T, Grande SW, Ozanne EM, Elwyn G. Correction: the psychometric properties of CollaboRATE: a fast and frugal patient-reported measure of the shared decision-making process. J Med Internet Res. 2015 Feb 6;17(2):e32. doi: 10.2196/jmir.4272. No abstract available.
- National Institutes for Health (NIH). NIH Demographics form Version 2.0.
- NCI's Health and Information National Trend Study. Computer Facility. PIES Study (Diefenbach et al)
- Morris NS, MacLean CD, Chew LD, Littenberg B. The Single Item Literacy Screener: evaluation of a brief instrument to identify limited reading ability. BMC Fam Pract. 2006 Mar 24;7:21. doi: 10.1186/1471-2296-7-21.
- Hoerger M, Chapman BP, Mohile SG, Duberstein PR. Development and psychometric evaluation of the Decisional Engagement Scale (DES-10): A patient-reported psychosocial survey for quality cancer care. Psychol Assess. 2016 Sep;28(9):1087-100. doi: 10.1037/pas0000294.
Study record dates
Study Major Dates
Study Start (ACTUAL)
Primary Completion (ACTUAL)
Study Completion (ACTUAL)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ACTUAL)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- 17-8013
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Conflict
-
York UniversityMcMaster University; University of TorontoActive, not recruitingMarital Relationship | Family Conflict | Internet-Based Intervention | Interparental Conflict | Marital ConflictCanada
-
Methodist Health SystemCompletedConflict ResolutionUnited States
-
Eunice Kennedy Shriver National Institute of Child...Completed
-
Uludag UniversityUnknownSexual Orientation Conflict DisorderTurkey
-
University of MiamiEunice Kennedy Shriver National Institute of Child Health and Human Development... and other collaboratorsCompletedRelationship, Marital | Marital Conflict
-
Duke UniversityDuke Center for Global Reproductive HealthCompletedParent-Child Relations | Child Behavior | Domestic Violence | Adolescent Behavior | Family Conflict | Marital Conflict | Family DysfunctionalKenya
-
University of Notre DameRecruitingMental Health | ConflictUnited States
-
Istituto Ortopedico RizzoliRecruitingKnee Discomfort | Approach-Approach ConflictItaly
-
York UniversityMcMaster University; University of TorontoCompletedFamily Conflict | Internet-Based InterventionCanada
-
University of MiamiCompletedRelationship, Marital | Marital Conflict