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Terminal IllnessBRiDgE-SimNCT05165888

Targeting Bias to Reduce Disparities in End of Life Care

A study testing Communication and Bias Mitigation Training and Communication skills training in people with Terminal Illness and Critical Illness, run by Montefiore Medical Center at 1 site in United States.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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Trial summary

This study aims to determine the ways in which clinician implicit racial biases affect clinician communication with family members of patients near the end of life and to test a novel physician training intervention to reduce the effects of implicit racial bias on quality of communication. Read more about this study

Who is it for?
Ages 18 years and olderHealthy volunteers can take part
Conditions the study is for
Terminal Illness, Critical Illness
What is being tested?
Communication and Bias Mitigation Training and Communication skills training
Could I receive a placebo?
No, everyone receives an active treatment
How many people
22 participants
Where
1 siteUnited States
Study dates
3 Feb 2022to 1 Nov 2024
Phase
Interventional
Are there results?
Yes, posted in the registrySummary in the doctors' view

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 years and older
  • All sexes
  • Healthy volunteers accepted
  • Adult, Older adult

Who may be able to join

  • Practicing physicians
  • Specializes in oncology, critical care, hospitalist medicine, emergency medicine or geriatrics

Who cannot join

  • Physicians who do not care for seriously ill patients in the hospital at least 10% of their working time.
  • Physicians trained in Hospice and Palliative Medicine.

Trial locations and contacts

1 site in 1 country.

United States1 site
  • Montefiore Medical Center

    The Bronx, New York, 10467

Other trials in United States

About this study

Official title: Targeting Bias to Reduce Disparities in End of Life Care: Clinician Communication Behavior in Simulated Patient Encounters Study

This study aims to determine the ways in which clinician implicit racial biases affect clinician communication with family members of patients near the end of life and to test a novel physician training intervention to reduce the effects of implicit racial bias on quality of communication.

Phase 1:

Read more

A sample of 50 physicians who care for seriously ill patients, including oncologists, critical care physicians and hospital-based internists will participate in a simulated clinical encounter with a Black standardized family member (actor) of a hypothetical case patient. Measures of implicit and explicit bias will be correlated with verbal and nonverbal communication behavior.

Phase 2:

This is a 2-arm randomized feasibility pilot of an intervention to mitigate the effects of clinician implicit bias on communication behavior. Physicians who treat patients with serious illness including oncologists, critical care physicians and hospital-based internists will be recruited to participate in a communication training session to reduce the effects of implicit bias or a control training session focusing only on communication skills. Their communication behavior will be videotaped during a simulated encounter with a Black standardized family member (actor) of a hypothetical patient with serious illness before and after the training sessions. The communication behavior before and after the training session will be compared between physicians that received the communication skills only intervention versus the physicians that received the communication skills and bias mitigation training.

The primary hypothesis is that physicians who receive both the communication skills and the bias mitigation training will have greater improvements in communication skills with the Black standardized caregiver (actor) compared with those who receive only the communication skills training.

This registration is inclusive of phase 2 only as phase 2 is the clinical trial portion of this research. Phase 1 is not a clinical trial as it was an observational study that did not include an intervention. Phase 1 data was used to inform the structure and analysis of phase 2.

Read the detailed description

Significance

Scope of the problem:

US adults over 65 are more racially diverse than ever, and this trend will continue. The number of older Black Americans is projected to reach 12 million or 12% of older adults by 2060. Although the growth of palliative care has improved the quality of end-of-life care over the past two decades, racial and ethnic minority patients have not fully benefitted from these advances. There are well-documented disparities in access and uptake of palliative care and in the quality and intensity of end-of-life care. These inequalities affect many minority groups, each with its unique history, language and culture that may influence the underlying mechanisms of disparities. The current proposal focuses on Black Americans who experience disparities that are deeply rooted in complex historical and present-day interactions with the health care system.

Mechanisms underlying disparities in quality of end-of-life care

Clinician factors:

There is a major gap in knowledge regarding clinicians' contributions to end-of-life disparities. Most physicians in the US are White, and only 4% are Black. Patient-physician racial discordance is associated with decreased quality of communication. Clinician communication during racially discordant encounters is an important and modifiable factor in end-of-life care disparities.

End-of-life conversations are less likely to result in goal-concordant care for Black compared with White patients. Possible explanations for these differences include implicit bias as well as explicit beliefs. Stereotypical beliefs hinder development of true knowledge of the patient by shortcutting around knowledge-gathering communication. Implicit attitudes decrease the quality of communication affecting partnership, respect, affiliation and trust. Reduced access to quality communication could explain some of the increased use of aggressive care and reduced quality of end-of-life care for Black patients.

Bias and Communication:

Implicit bias refers to unconscious, automatic positive or negative attitudes. Clinicians rarely mention race and ethnicity as barriers to communication, suggesting that they are unable to name these barriers due either to the implicit nature of the bias or to social desirability bias in reporting. The Implicit Association Test (IAT) demonstrates unconscious racial bias among clinicians. Implicit bias predicts patient ratings in domains critical to quality end-of-life care including interpersonal treatment, communication and trust. Physician implicit bias results in poor communication patterns, and poor patient-doctor relationships. Some physicians express explicit beliefs regarding Black patients' "resistance" to hospice care. It is unknown whether explicit stereotypes about end-of-life preferences influence communication behavior.

Bias Mitigation:

Evidence-based strategies have been developed to reduce effects of implicit bias, but few have been systematically tailored to gaps in care and measured for effectiveness in the clinical setting. There is limited evidence to support specific strategies to reduce the effects of clinician bias on clinical care. Strategies that focus only on making clinicians aware of their biases are unlikely to reduce their effects in the long term without providing them with specific strategies to overcome them. A strategy based on transformative learning theory and incorporating critical reflection, guided dialogue, perspective taking exercises, role plays and strategy development has been successfully used with medical students.

Aims/Objectives:

The aim of this study is to assess the effects of clinician racial bias on end-of-life communication and to develop interventions to reduce the effects of implicit bias on quality of clinician communication. There are two study objectives: (1) Establish which communication behaviors in the end-of-life setting are most affected by clinician implicit racial bias and explicit stereotyping. (2) Pilot a theory-driven intervention to improve clinician communication and reduce disparities in quality end-of-life care. These objectives will be met in two study phases.

Methods/Design:

Phase 1:

Methods:

(1) The investigators will develop a case depicting a hospitalized 72-year-old with lung cancer and sepsis due to pneumonia on high-flow nasal cannula with my mentorship team of experts in palliative medicine and critical care. The investigators will design a clinical encounter with the caregiver to discuss goals of care. 2) The caregiver encounter will be piloted with critical care and hospitalist physicians at Montefiore to ensure realism and achieve standardization. Black standardized caregivers will be recruited from the pool of actors used by the Einstein Clinical Skills Center. (3) Standardized caregivers will be trained in the use of a communication assessment tool. (4) 50 physicians will be recruited to participate in a videotaped high-fidelity simulation of the encounter. The session will be followed by a 1-hour communication skills training. (5) Immediately after the simulation subjects will complete the IAT and a questionnaire probing for attitudes about race and end-of-life care along with demographic questions. The investigators will assess training needs by adapting a previously developed questionnaire measuring physicians' self-identified serious illness communication training needs by incorporating questions about bias mitigation skills. The IAT is publicly available here: https://implicit.harvard.edu/implicit/selectatest.html.

COVID-19 Concerns:

The Clinical Skills Center will be holding in-person simulations with standardized patients for the purposes of medical education starting in May 2021. The simulations in this study will not begin until after that time and will involve less risk than typical simulations because they will not entail a physical examination of the standardized caregiver. Actors and participants will be equipped with personal protective equipment including surgical masks. Trainers and participants in the training session will be required to wear provided surgical masks and remain six feet apart during the training sessions. If COVID-19 state or institutional guidelines prohibit these types of encounters at the time the simulations will be launched, the simulations and training will be adapted to a virtual format and nonverbal behavior coding will be adjusted. These changes will be submitted to the Institutional Review Board (IRB) as an amendment.

Data collection:

Encounters will be videotaped. The amount of time the physician and standardized caregiver speak will be recorded. A five-point verbal communication rating scale will be used to rate physician (1) informativeness, (2) supportiveness, and (3) partnership-building and a modified version of the Nonverbal Accommodation Analysis System (NAAS). The NAAS will be modified to include physical distance and open/closed body language which were shown to be important in serious illness encounters.

Another questionnaire will be administered at the end of the training. The investigators will ask physicians to rate their experiences with different educational modalities presented in the training session, such as feedback from observed encounters, communication drills and role-plays. In addition, the questionnaire will include the cognitive and affective empathy portions of the Interpersonal Reactivity Index. For participants in the active group only, several questions will assess the illusion of ownership of the virtual body in the VR experience. Open-ended questions will be used to gather formative information that the researchers may not have considered. This questionnaire will be distributed at the end of the communication skills training.

Analysis plan:

Bivariate associations of communication scores with IAT scores will be estimated with Pearson or Spearman rank correlation coefficients depending on the distribution of the data. Generalized linear models (GLM) will be fit to the data to assess the associations of the IAT and racial attitudes with primary and secondary communication outcomes, while controlling for potential confounding variables including clinician age, gender and specialty. The identity link will be used in the GLM for continuous communication outcomes. Subgroup analysis will be performed in Asian, Black and Hispanic physicians if there are sufficient numbers in these groups to assess heterogeneity of the associations by race.

Power analysis:

The target sample size of 50 participants would have >80% power to detect a minimum correlation between IAT score and verbal dominance of ρ ≥ 0.38 using a two-sided hypothesis test of a single correlation with a significance level of 0.05. This correlation is similar in magnitude to associations observed in prior studies; B=11.0 in one study and r = 0.32 in another.

Phase 2:

Methods:

This is a communication training session based on a culturally-based program developed with rural, southern Black patients and families and modified for an urban, northern population. A strategy of bias mitigation successfully used with medical students will be adapted for practicing clinicians using results of phase 1. This strategy is based on transformative learning theory and incorporates critical reflection, guided dialogue, perspective taking exercises, role plays and strategy development. In this study, a virtual reality (VR) experience (https://michigan.it.umich.edu/news/2023/07/31/education-andawareness- in-vr-new-experience-illustrates-the-effects-of-racial-discrimination/) will be used as the disorienting dilemma to spark the process of transformative learning. This brief experience embodies the participant in the experiences of an African American man over their life course. It is aimed to engender empathy and perspective taking. Following the VR experience, participants will debrief with the facilitator in small groups, discuss how implicit bias impacts the clinical encounter, brainstorm bias mitigation techniques and role-play strategies to mitigate bias in the clinical encounter. If specific communication behaviors are found related to bias and stereotyping in phase 1, these will be discussed and targeted using these techniques. Otherwise, these techniques will be used to address racial bias generally. The intervention will be incorporated within the communication training session.

Design:

Clinicians will be randomized 1:1 to the active intervention or a control communication training without bias mitigation techniques. Allocation concealment will be in place to ensure the individual enrolling the subject into the study has no a priori knowledge of group assignment. Block randomization will occur with randomly mixed block sizes of 2, 4, and 6. The allocator (research assistant) will hide block size from the executor (PI) in order to prevent the executor from predicting the next assignment. Randomization will be carried out by having a piece of paper that has the phrase "Intervention (Communication + Bias)" or "Control (Communication only)" placed inside an opaque envelope. The outside of the envelopes will be labeled with the sequence number. After a subject has been enrolled into the study and consented, the next sequence numbered envelope on the stack will be opened to determine the study group that the subject will enter.

Participants will be videotaped during high-fidelity simulations of encounters with caregivers described in phase 1, before and after receiving the intervention or control. The intervention and simulations will take place in one half-day workshop.

Study population and Recruitment:

A new group of intensivists, oncologists and hospitalists will be recruited. Physician subjects will be recruited face-to-face by the PI, through departmental email blasts and emails to contacts of the study team. As in phase 1, physicians will complete a screening questionnaire to exclude those that do not routinely encounter hospitalized patients with a life expectancy of less than one year. Potential subjects will be asked about the frequency and timing of previous communication and bias training. Physicians practicing Hospice and Palliative Medicine will be excluded because of their extensive prior training in communication.

Data collection:

Encounters will be videotaped. The investigators will use the five-point verbal communication rating scale and a modified version of the NAAS for nonverbal communication behaviors during the standardized encounter as described in phase 1 above. A research assistant who did not participate in the training sessions and is blinded to participant group will code communication behaviors. Subjects will complete the IAT and the questionnaire described in phase 1 immediately after the first encounter.

Analysis plan:

Initially, the mean change in verbal and nonverbal communication scores pre- and post-intervention will be evaluated within each intervention arm using paired t-tests or Wilcoxon tests if the data are not normally distributed. To assess whether communication scores improved more in the bias mitigation treatment compared with communication training only control, a generalized linear model will be fit to the data with post-intervention score as the outcome, and pre-intervention score and intervention arm as the main effects. In addition, the investigators will explore whether pre-intervention level of bias modifies the effect of bias mitigation training, e.g., those with more bias will have a greater difference in improvement between the intervention and control group, by including in the model an interaction term between IAT score and treatment group on communication scores. A positive interaction will indicate that implicit bias as measured by the IAT modifies the effect of treatment group on communication score. With 25 subjects per intervention arm, the study will have 80% power to detect an effect size of 0.8 between groups in pre-post change in communication scores with a two-sided Type 1 error rate of 5%. While this is considered a large effect size according to Cohen's criteria, this is a pilot study in which the primary goal is to assess feasibility and to generate preliminary data on the effect of the proposed communication training intervention for clinicians to mitigate the effects of implicit bias.

Data Management/Analysis:

Communication behavior codes and data from the questionnaires and IAT stored on Montefiore's secure Box drive and will only be accessible by members of the research team. Video recordings will be stored on a password-protected hard drive accessible only to the research team.

Risks/Benefits:

Potential risks: This research poses two main risks to subjects: 1) emotional distress and 2) risk to privacy. There may be some emotional distress caused by learning about one's unconscious racial biases. Emotional distress may also result from passive deception; subjects will not be told that racial bias is the focus of the study until after the intervention. Privacy risk arises because racial biases may be considered sensitive information about the subject.

Adequacy of Protection Against Risks Recruitment and Informed Consent: All subjects will be recruited by the PI through departmental email blasts, emails to contacts of the study team and departmental faculty meeting presentations. The consent process will take place in the Clinical Skills Center on the prior to the standardized patient encounter. Subjects will be informed of their right to participate or discontinue participation at any time without jeopardizing their employment, professional position or relationships with colleagues. Copies of the signed consent form will be given to the subject and placed in the subject's research folder in a locked file drawer in an office in the PI's office expressly designed for this purpose.

Incomplete disclosure of information during the consenting process: Subjects will be informed that they are participating in a study exploring physician cognition, cognitive biases and communication behavior. They will be informed that study participation includes completion of an on-line instrument after the standardized patient encounter. They will not be told during the consent process that implicit racial bias and stereotyping are the focus of the study.

Protections against risks: Personal identifiers not be collected in the on-line instrument; instead a unique study ID will be assigned to each participant. Video recordings will be maintained in a password protected digital folder on a hard drive in a locked office. This database of coded communication scores will be stripped of participant identifiers as soon as all data is collected, and a file linking the study ID and patient identifiers will be kept in a separate, password protected digital folder.

Debriefing: After completion of the on-line bias measurement instrument, the subjects will be shown a debriefing statement including full disclosure of the aims of the study and the intent to examine the relationship between implicit racial bias and stereotyping and communication behavior. This statement will include a reminder that they may discontinue participation at any time and request that their data be removed from the dataset without penalty. The PIs contact information will be provided.

Potential Benefits of the Proposed Research: Subjects are not expected to directly benefit from this research. Importance of the knowledge to be gained: The information from this study will provide knowledge about the role of implicit bias and stereotyping in communication behaviors that have profound effects on the quality of end-of-life care for Black patients. It will also inform efforts to mitigate the effects of this bias in future studies.

Necessity of withholding information in the consent process: Withholding of complete information from the consent process is only acceptable if there is no reasonably effective alternative to achieve the goals of the research. In this case, knowledge of the intent to study implicit racial bias is likely to affect the way physicians communicate in the standardized patient encounter, thus invalidating the results of the study.

Being tested
Communication and Bias Mitigation Training, Communication skills training
Keywords
Palliative, Communication
Medical subject headings
Critical Illness, Communication

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • Communication and Bias Mitigation TrainingBehavioural

    Training to improve communication skills and reduce the effect of racial bias on clinician communication behavior

  • Communication skills trainingBehavioural

    Training to improve communication skills between physicians and caregivers.

Study groups in NCT05165888
Study groupRoleWhat they receive
Communication and Bias Mitigation TrainingExperimentalThis is a communication training session based on a culturally-based program developed with rural, southern Black patients and families and modified for an urban, northern population. A strategy of bias mitigation successfully used with medical students will be adapted for practicing clinicians using results of phase 1. This strategy is based on transformational learning theory and incorporates critical reflection, guided dialogue, perspective taking exercises, role plays and strategy development. If specific communication behaviors are found related to bias and stereotyping in phase 1, these will be discussed and targeted using these techniques. Otherwise, these techniques will be used to address racial bias generally. The intervention will be incorporated within the communication training session.
Receives: Behavioral: Communication and Bias Mitigation Training
Communication Training OnlyActive comparatorThis is a communication training session based on standard palliative care techniques to listen empathically, share prognostic information and treatment options, elicit patient and family goals and values related to their treatment, and facilitate shared decision-making regarding end-of-life treatment.
Receives: Behavioral: Communication skills training

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Verbal Dominance

    Verbal dominance was determined by the ratio of clinician to caregiver speaking time during the encounter, ranging from a minimum of 0 to a maximum of approximately 3. A ratio of >1 indicates that the clinician dominated the discussion. Ratio of clinician to caregiver speaking times are expressed as decimals and summarized both prior to and following the intervention by study arm.

    Measured: During the intervention, up to 5 hours

Secondary outcomes (12)
  1. Encounter Duration

    Encounter duration is an estimate of the time the physician speaks to the caregiver, ranging from 5 to 20 minutes, with higher scores indicating more engagement. Speaking time in minutes both prior to and following the intervention is summarized by study arm using basic descriptive statistics.

    Measured: During the intervention, up to 5 hours

  2. Verbal Communication

    Quality of verbal communication as rated by standardized (actor) caregiver using the three-item CollaboRATE tool which has a minimum score of 0 and maximum of 30 with higher scores indicating better communication. Scores prior to and following the intervention are summarized by study arm using basic descriptive statistics.

    Measured: During the intervention, up to 5 hours

  3. Modified NAAS Score

    The Nonverbal Accommodation Analysis System is not a score, but rather a system of coding nonverbal communication behaviors, consisting of 10 behaviors, the results of which are individually reported below. We modified the system as planned in the proposed research by removing behaviors not found to be related to bias or to standardized caregiver outcomes. This resulted in removing the speech rate variable, but retaining the remaining 9 variables. We also modified the system to count all instances of each behavior during the entire encounter, rather than in 2-minute slices of time.

    Measured: Duration of intervention, up to 5 hours

  4. Physician Talk Time

    Physician talk time during the intervention was monitored and recorded. The mean duration of time the physician was speaking, both prior to and following the intervention, is summarized by study arm, adjusted by total duration of the encounter. The physician talk time is therefore given as a proportion of the total encounter duration and is expressed as a decimal unit.

    Measured: During the intervention, up to 5 hours

  5. Pauses

    Number of times per minute the participant paused their speech during the encounter, both prior to the and following the intervention, is summarized by study arm using basic descriptive statistics.

    Measured: During the intervention, up to 5 hours

  6. Simultaneous Speech

    Number of times per minute that the subjects' speech overlapped with the standardized caregiver's speech, both prior to and following the intervention, is summarized by study arm using basic descriptive statistics.

    Measured: During the intervention, up to 5 hours

  7. Number of Interruptions

    Number of times per minute the participant interrupted the standardized caregiver causing the standardized caregiver to stop speaking, both prior to and following the intervention, is summarized by study arm using basic descriptive statistics.

    Measured: During the intervention, up to 5 hours

  8. Smiling

    Number of times per minute the participant smiled during the encounter, both prior to and following the intervention, is summarized by study arm using basic descriptive statistics.

    Measured: During the intervention, up to 5 hours

  9. Laughing

    Number of times per minute the participant laughed during the encounter, both prior to and following the intervention, is summarized by study arm using basic descriptive statistics.

    Measured: During the intervention, up to 5 hours

  10. Gesturing

    Number of times per minute the participant gestured with their hands during the encounter, both prior to and following the intervention, is summarized by study arm using basic descriptive statistics.

    Measured: During the intervention, up to 5 hours

  11. Nodding

    Number of times per minute the participant nodded during the encounter, both prior to and following the intervention, is summarized by study arm using basic descriptive statistics.

    Measured: During the intervention, up to 5 hours

  12. Eye Contact

    This is a REVERSE CODED variable. It measures the proportion of time during the encounter that the participant was looking away from the standardized caregiver in seconds divided by total encounter time in seconds. Eye contact time, both prior to and following the intervention, is summarized by study arm using basic descriptive statistics.

    Measured: During the intervention, up to 5 hours

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted21 Dec 2021
  2. Study start3 Feb 2022
  3. Primary completion1 Nov 2024
  4. Study completion1 Nov 2024

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Interventional
Phase
Phase N/A
Primary purpose
Other
Allocation
Randomised
Intervention model
Parallel groups
Masking
Double blind
Who is masked
Participant, Outcomes assessor
Enrolment
22 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT05165888
Sponsor's protocol ID
2021-12898
Other IDs
5K23MD015277-03
Acronym
BRiDgE-Sim
Status last verified
Jan 2026
First submitted
10 Nov 2021
Last updated
9 Feb 2026
Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
Yes: Montefiore Medical Center is an institutional member and Dr. Chuang is an individual member of the Palliative Care Research Cooperative (PCRC). The PCRC is funded by the National Institute of Nursing Research (NINR) and is committed to assisting investigators in complying with data sharing policies. The PCRC collects and houses de-identified qualitative and quantitative data from completed research projects. These data are housed within the PCRC Data Repositories. Researchers may access this data consistent with IRB/CHR rules, local, state, and Federal laws and regulations, and the HIPAA Privacy Rule. Investigators may request access to the de-identified PCRC Data Repositories for secondary data analysis.

Publications

  • Lee JJ, Long AC, Curtis JR, Engelberg RA. The Influence of Race/Ethnicity and Education on Family Ratings of the Quality of Dying in the ICU. J Pain Symptom Manage. 2016 Jan;51(1):9-16. doi: 10.1016/j.jpainsymman.2015.08.008. Epub 2015 Sep 16.

    PubMed 26384556
  • Johnson KS. Racial and ethnic disparities in palliative care. J Palliat Med. 2013 Nov;16(11):1329-34. doi: 10.1089/jpm.2013.9468. Epub 2013 Sep 27.

    PubMed 24073685
  • Welch LC, Teno JM, Mor V. End-of-life care in black and white: race matters for medical care of dying patients and their families. J Am Geriatr Soc. 2005 Jul;53(7):1145-53. doi: 10.1111/j.1532-5415.2005.53357.x.

    PubMed 16108932
  • Byrd WM, Clayton LA. Race, medicine, and health care in the United States: a historical survey. J Natl Med Assoc. 2001 Mar;93(3 Suppl):11S-34S.

    PubMed 12653395
  • Feagin J, Bennefield Z. Systemic racism and U.S. health care. Soc Sci Med. 2014 Feb;103:7-14. doi: 10.1016/j.socscimed.2013.09.006.

    PubMed 24507906
  • Connor SR, Elwert F, Spence C, Christakis NA. Racial disparity in hospice use in the United States in 2002. Palliat Med. 2008 Apr;22(3):205-13. doi: 10.1177/0269216308089305.

    PubMed 18477714
  • Smith-Howell ER, Hickman SE, Meghani SH, Perkins SM, Rawl SM. End-of-Life Decision Making and Communication of Bereaved Family Members of African Americans with Serious Illness. J Palliat Med. 2016 Feb;19(2):174-82. doi: 10.1089/jpm.2015.0314.

    PubMed 26840853
  • Kwak J, Haley WE. Current research findings on end-of-life decision making among racially or ethnically diverse groups. Gerontologist. 2005 Oct;45(5):634-41. doi: 10.1093/geront/45.5.634.

    PubMed 16199398
  • Allen RS, Allen JY, Hilgeman MM, DeCoster J. End-of-life decision-making, decisional conflict, and enhanced information: race effects. J Am Geriatr Soc. 2008 Oct;56(10):1904-9. doi: 10.1111/j.1532-5415.2008.01929.x. Epub 2008 Sep 4.

    PubMed 18775035
  • Benton K, Stephens J, Vogel R, Ledlow G, Ackermann R, Babcock C, McCook G. The influence of race on end-of-life choices following a counselor-based palliative consultation. Am J Hosp Palliat Care. 2015 Feb;32(1):84-9. doi: 10.1177/1049909113506782. Epub 2013 Oct 1.

    PubMed 24085311
  • Mack JW, Paulk ME, Viswanath K, Prigerson HG. Racial disparities in the outcomes of communication on medical care received near death. Arch Intern Med. 2010 Sep 27;170(17):1533-40. doi: 10.1001/archinternmed.2010.322.

    PubMed 20876403
  • Sanders JJ, Johnson KS, Cannady K, Paladino J, Ford DW, Block SD, Sterba KR. From Barriers to Assets: Rethinking factors impacting advance care planning for African Americans. Palliat Support Care. 2019 Jun;17(3):306-313. doi: 10.1017/S147895151800038X. Epub 2018 Jun 5.

    PubMed 29869594
  • Mack JW, Weeks JC, Wright AA, Block SD, Prigerson HG. End-of-life discussions, goal attainment, and distress at the end of life: predictors and outcomes of receipt of care consistent with preferences. J Clin Oncol. 2010 Mar 1;28(7):1203-8. doi: 10.1200/JCO.2009.25.4672. Epub 2010 Feb 1.

    PubMed 20124172
  • Cooper LA, Roter DL, Johnson RL, Ford DE, Steinwachs DM, Powe NR. Patient-centered communication, ratings of care, and concordance of patient and physician race. Ann Intern Med. 2003 Dec 2;139(11):907-15. doi: 10.7326/0003-4819-139-11-200312020-00009.

    PubMed 14644893
  • Barnato AE. Challenges In Understanding And Respecting Patients' Preferences. Health Aff (Millwood). 2017 Jul 1;36(7):1252-1257. doi: 10.1377/hlthaff.2017.0177.

    PubMed 28679812

Questions about this trial

What is this clinical trial studying?

A study testing Communication and Bias Mitigation Training and Communication skills training in people with Terminal Illness and Critical Illness, run by Montefiore Medical Center at 1 site in United States.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 2 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 9 Feb 2026. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

Yes. Results are posted in the registry (first posted 9 Feb 2026). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Verbal Dominance (time frame: During the intervention, up to 5 hours). It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT05165888, which also lists 35 linked publications.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 9 Feb 2026.

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