Names of Project Lead(s) and Key Team Members
Joanne Qinaʻau, PhD, MA, T32 Postdoctoral Fellow, Lead
Maria Chao, DrPH, MPA, Director of Research, Advisor
Marliese Warren, MS, Integrative Health Equity Program Manager, Collaborator
Initial Proposed Timeline
January – February: Development of survey and interview materials
- Develop interview and survey questions to gather data to optimize acceptability and feasibility of future curriculum.
- Map out dissemination for surveys (e.g., engage collaborators to brainstorm mediums for surveys such as QR codes in restrooms, newsletters, email lists, flyers, etc.)
- Identify interview participants.
March – April: Gather data
- Launch survey across multiple dissemination arms.
- Conduct interviews on Zoom and through email.
May – June: Analysis and sharing of data
- Analyze data.
- Share results.
July – September: Curriculum design and review
- Create initial curriculum based on literature review of similar programs, data gathered from surveys and interviews, and best practices in mindfulness program adaptation (e.g., Loucks et al., 2023).
- Receive feedback from collaborators and interested participants who opted in regarding curriculum development.
- Revise curriculum design.
September – October: Curriculum element testing
- Test run aspects of curriculum in presently standing meetings to optimize accessibility.
November: Reporting
- Prepare and deliver report.
Project Description: A feasible collaboration with potential for sustainable impact
As a safe and effective integrative approach, mindfulness based interventions (MBIs) can be feasibly incorporated into advanced healthcare disciplines (Praissman, 2008; H. Williams et al., 2015). The MBI offered will be trauma sensitive (Treleaven, 2018) and adapted to optimize acceptability and feasibility. Data elicited from providers, staff, and trainees at UCSF Osher Center will inform implementation and content. To ensure beneficial impact in the short- and long-term, the program emphasizes implicit bias reduction using mechanism evidence from the literature (e.g., reducing stress and burnout, increasing awareness and compassion, and enhancing cultural sensitivity). The program will be designed based on feedback from interviewees and survey participants, as well as the extant literature. The beneficial impacts on integrative health equity are likely to be long term, as positive effects of mindfulness interventions can persist for at least one year post-intervention (Cascales‐Pérez et al., 2021; Geary & Rosenthal, 2011). The program will emphasize community building and resource sharing beyond the live program. Other possibilities include recorded sessions and ongoing practice sessions.
Significance and innovation
While other MBSR programs exist at the Osher Center and in the UCSF system, this program is innovative in that it: 1) focuses on providers, staff, and trainees; 2) will be designed to reduce implicit bias based on empirical evidence; and 3) will be adapted for the specific Osher Center context.
The literature highlights implicit bias among healthcare providers towards minorities and stigmatized groups (FitzGerald & Hurst, 2017; Maina et al., 2018; Zestcott et al., 2016). These biases pose challenges to integrative health equity, leading to disparities in care (Chapman et al., 2013; Phelan et al., 2015). Since healthcare professionals exhibit similar bias levels as the general population (FitzGerald & Hurst, 2017), such bias likely exists at the Osher Center.
Mindfulness-based interventions (MBIs) provide promising approaches to reduce biases and promote health equity (Burgess et al., 2017; Woods-Giscombe & Giscombe, 2022). Mindfulness training will improve self-awareness, therapeutic communication, and cultural sensitivity during provider-patient interactions which then supports providers (and staff) in identifying their use of stereotypes when working with diverse patients (Woods-Giscombe & Giscombe, 2022). Meta-analyses show effects of mindfulness on reducing bias & biased outcomes (Chang et al., 2023; Oyler et al., 2021). Even brief mindfulness can diminish linguistic intergroup bias (Tincher et al., 2016), alleviate stress, and reduce implicit biases in healthcare professionals (Murphy et al., 2023). MBIs reduce bias activation, increase awareness and control of biases, and enhance compassion (Burgess et al., 2017). Additionally, MBSR supports health equity indirectly by reducing stress and burnout for medical students (Hathaisaard et al., 2022; Polle & Gair, 2021) and improving quality of life and self-compassion in healthcare professionals (Shapiro et al., 2005). MBIs demonstrate effectiveness in decreasing psychological distress and medical symptoms (K. A. Williams et al., 2001), indirect barriers to equity.
Given the inclusion of providers and staff, the resulting curriculum has the potential to not only improve individual outcomes, but has the potential to shape the culture of equity, wellbeing, and awareness of bias at the social and structural levels at the center.
Personnel
Jo Qinaʻau, PhD, MA is a postdoctoral research fellow at the Osher Center. She is responsible for overseeing the successful execution of the proposed project including survey design, administration, analysis; interview design, administration, analysis; reporting; curriculum design; initial testing of curriculum. We request support for 10% effort for her contributions to the project.
Marliese Warren, MS, is the Integrative Health Equity Program Manager at the Osher Center.Shewill collaborate with Dr. Qina’au to identify barriers to staff participation in bias trainings and other DEI-focused work; develop strategies to support participation and increase engagement; and provide input on curriculum development. We request support for 2.5% effort for her contributions to the project.
Maria Chao, DrPH, MPA is Director of Research and Associate Director for Health Equity and Diversity at the UCSF Osher Center for Integrative Health. Dr. Chao will be available on an as-needed basis to advise on all aspects of the project. No salary support is requested.
References
Burgess, D. J., Beach, M. C., & Saha, S. (2017). Mindfulness practice: A promising approach to reducing the effects of clinician implicit bias on patients. Patient Education and Counseling, 100(2), 372–376. https://doi.org/10.1016/j.pec.2016.09.005
Cascales‐Pérez, M. L., Ferrer‐Cascales, R., Fernández‐Alcántara, M., & Cabañero‐Martínez, M. J. (2021). Effects of a mindfulness‐based programme on the health‐ and work‐related quality of life of healthcare professionals. Scandinavian Journal of Caring Sciences, 35(3), 881–891.https://doi.org/10.1111/scs.12905
Chang, D., Donald, J. N., Whitney, J., Miao, I., & Sahdra, B. K. (2023). Does Mindfulness Improve Intergroup Bias, Internalized Bias, and Anti- Bias Outcomes?: A Meta-Analysis of the Evidence and Agenda for Future Research. Personality and Social Psychology Bulletin.https://doi.org/10.1177/01461672231178518
Chapman, E. N., Kaatz, A., & Carnes, M. (2013). Physicians and implicit bias: How doctors may unwittingly perpetuate health care disparities. Journal of General Internal Medicine, 28, 1504–1510.
Dovidio, J. F. (2016). Racial biases in medicine and healthcare disparities. TPM - Testing, Psychometrics, Methodology in Applied Psychology, 1, 489–510. https://doi.org/10.4473/TPM23.4.5
FitzGerald, C., & Hurst, S. (2017). Implicit bias in healthcare professionals: A systematic review. BMC Medical Ethics, 18(1). https://doi.org/10.1186/s12910-017-0179-8
Geary, C., & Rosenthal, S. L. (2011). Sustained Impact of MBSR on Stress, Well-Being, and Daily Spiritual Experiences for 1 Year in Academic Health Care Employees. The Journal of Alternative and Complementary Medicine, 17(10), 939–944. https://doi.org/10.1089/acm.2010.0335
Hathaisaard, C., Wannarit, K., & Pattanaseri, K. (2022). Mindfulness-based interventions reducing and preventing stress and burnout in medical students: A systematic review and meta-analysis. Asian Journal of Psychiatry, 69, 102997.
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Phelan, S. M., Burgess, D. J., Yeazel, M. W., Hellerstedt, W. L., Griffin, J. M., & Van Ryn, M. (2015). Impact of weight bias and stigma on quality of care and outcomes for patients with obesity. Obesity Reviews, 16(4), 319–326. https://doi.org/10.1111/obr.12266
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