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| Name | Class |
|---|---|
| Merck Sharp & Dohme LLC | INDUSTRY |
| University of Pennsylvania | OTHER |
| Temple University | OTHER |
| Thomas Jefferson University |
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Investigators aim to test a culturally diverse and patient guided mHealth decision tool called mychoice, which allows patients to explore their concerns and questions related to clinical trial participation, as well as create a customized and personalized set of questions to enhance patient-provider communication and increase informed decision making. This study employs a mixed-methods approach using both qualitative and quantitative data to evaluate the effectiveness of the mychoice intervention for patients and to explore the provider and organizational factors that impact implementation. A randomized controlled trial will be performed with 270 participants in order to determine the acceptability and feasibility of the intervention, as well as its effects on self-efficacy in discussing clinical trial participation with providers, leading to enhanced informed decision-making. A secondary aim of the study is to evaluate the implementation of the intervention in clinical settings. Implementation evaluation will occur using surveys of medical staff whose patients are participating in the study. These surveys will assess institutional facilitators and barriers to study implementation. Investigators will also conduct cognitive de-briefing interviews after the intervention is completed with key stakeholders at the participating institutions, which will inform a larger implementation study in the future.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Treatment | Experimental | Participants randomized to the treatment arm of the study will be given the mychoice tool. |
|
| Control | No Intervention | 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). |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| mychoice | Behavioral | 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. |
| 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 | 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 |
| Measure | Description | Time Frame |
|---|---|---|
| CollaboRATE Perceived Shared Decision Making Scale | 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 |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Linda Fleisher, PhD | Fox Chase Cancer Center | Principal Investigator |
| Sarah Bass, PhD | Temple | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Pennsylvania | Philadelphia | Pennsylvania | 19104 | United States | ||
| Thomas Jefferson University Hospital |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 19000600 | Background | 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. | |
| Background | 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. | ||
| Background | 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. | ||
| Background | Weinberg, A.D. Eliminating Disparities in Clinical Trials. cited 2009 June 4th, 2009; Version 2: Available from: http://www.bcm.edu/edict/home.html. |
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| ID | Title | Description |
|---|---|---|
| FG000 | Treatment | Participants randomized to the treatment arm of the study will be given the mychoice tool. mychoice: 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. |
| FG001 | 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). |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
The number of participants in the Baseline Analysis Population only includes participants who completed the baseline survey in it's entirety. 257 participants were consented and joined the study; however, they did not complete any study tasks and no data was completed at baseline. 250 participants completed baseline.
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| ID | Title | Description |
|---|---|---|
| BG000 | Treatment | Participants randomized to the treatment arm of the study will be given the mychoice tool. mychoice: 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. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Perceived Efficacy in Patient-Physician Interactions (PEPPI) Self-Efficacy Scale- Outcome Measure at Baseline, Post-test and 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). | There was participant drop off between baseline, post-test, and follow-up. | Posted | Mean | Standard Deviation | score on a scale | Baseline and post-test (both occur on same day, day 1), one month follow-up |
|
Adverse event data were collected between baseline and one-month follow-up.
This was a minimal risk study.
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Treatment | Participants randomized to the treatment arm of the study will be given the mychoice tool. mychoice: 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. |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Dr. Linda Fleisher | Fox Chase Cancer Center | 215-214-3757 | Linda.Fleisher@fccc.edu |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Jul 25, 2019 | Nov 4, 2020 | Prot_SAP_000.pdf |
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| OTHER |
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|
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 | 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 | 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) |
| Philadelphia |
| Pennsylvania |
| 19107 |
| United States |
| Fox Chase Cancer Center | Philadelphia | Pennsylvania | 19111 | United States |
| Temple University | Philadelphia | Pennsylvania | 19121 | United States |
| Temple University Health System | Philadelphia | Pennsylvania | 19140 | United States |
| 18085590 | Background | 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. |
| 18639652 | Background | 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. |
| 18813202 | Background | 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. |
| 11148585 | Background | 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. |
| 16455478 | Background | 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. |
| 19419837 | Background | 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. |
| 11798060 | Background | 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. |
| 17682824 | Background | 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. |
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| 23011540 | Background | 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. |
| 22764647 | Background | Schmotzer GL. Barriers and facilitators to participation of minorities in clinical trials. Ethn Dis. 2012 Spring;22(2):226-30. |
| 12627515 | Background | 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. |
| 20024824 | Background | 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. |
| 19013309 | Background | 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. |
| 18425554 | Background | 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. |
| 18008363 | Background | 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. |
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| 17598129 | Background | 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. |
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| Background | National Institutes for Health (NIH). NIH Demographics form Version 2.0. |
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| BG001 | 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). |
| BG002 | Total | Total of all reporting groups |
| Participants |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Ethnicity (NIH/OMB) | Count of Participants | Participants |
|
| Race (NIH/OMB) | Count of Participants | Participants |
|
| Region of Enrollment | Count of Participants | Participants |
|
| OG001 | 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). |
|
|
| Secondary | CollaboRATE Perceived Shared Decision Making Scale | 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. | Participants were only asked these questions if their doctor talked to them about participating in a clinical trial prior to completing follow-up. | Posted | Mean | Standard Deviation | score on a scale | 1 month follow-up |
|
|
|
| Secondary | Shared Decision Making (SDM Q-9) Scale | 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. | Only participants who were offered a clinical trial were asked these questions. | Posted | Mean | Standard Deviation | score on a scale | 1 month follow-up |
|
|
|
| Secondary | Ottawa Decisional Conflict | 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] | Posted | Mean | Standard Deviation | score on a scale | Baseline and post-test (both occur on same day, day 1), one month follow-up |
|
|
|
| Secondary | Preparation for Decision Making (PrepDM) Scale | 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. | Posted | Mean | Standard Deviation | score on a scale | Post test (day 1) |
|
|
|
| 0 |
| 122 |
| 0 |
| 122 |
| 0 |
| 122 |
| EG001 | 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). | 0 | 128 | 0 | 128 | 0 | 128 |
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| How much effort was made to include what matters most to you in choosing what to do next? |
|
| My doctor wanted to know exactly how I want to be involved in making a decision. |
|
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| My doctor toldme that there are different options for treating my medical condition. |
|
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| My doctor precisely explained the advantages and disadvantages of clinical trials. |
|
|
| My doctor helped me understand all the information for clinical trials. |
|
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| My doctor asked me which treatment option I prefer. |
|
|
| My doctor and I thoroughly weighed the different treatment options. |
|
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| My doctor and I selected a treatment option together. |
|
|
| My doctor and I reached an agreement on how to proceed. |
|
|
| Follow-up |
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| Help you think about the pros and cons of treatment options? |
|
| Help you think about which pros and cons are most important? |
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| Help you know that the decision depends on what matters most to you? |
|
| Help you organize your own thoughts about the decision? |
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| Help you think about how involved you want to be in this decision? |
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| Help you identify questions you want to ask your doctor? |
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| Prepare you to talk to your doctor about what matters most to you? |
|
| Prepare you for a follow-up visit with your doctor? |
|