Submitted:
22 September 2025
Posted:
24 September 2025
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Study Population and Survey Measures
2.2. Data Analysis
3. Results
3.1. Survey Response
3.2. Demographics
3.3. Career Satisfaction and Mentorship
3.4. Workplace Culture and Experiences of Discrimination or Harassment
4. Discussion
| Question | Select Summarized and Representative Quotes |
|---|---|
| What should oncology departments do to address mistreatment or harassment? | (i) training/education: “Better training with easily accessible resources. Publicize them to make them known to everyone. “Open discussions at the department meetings. Educational workshops. Form special committees.” (ii) having clear institutional policies on how to report mistreatment (anonymously or via a structured complaint pathway): “Have open in-person conversations led by leadership to clarify expectations, policies and procedures, and have a forum to confidentially report mistreatment/harassment to for victims and an avenue for understanding options for formal reporting.” “A standardized / easy to access / anonymous reporting method is needed. There should be an independent process/body to administrate this to reduce bias.” (iii) having meaningful and measured corrective measures or repercussions to mistreatment: “Incidents should be fully investigated and sorted out and a clear message of no tolerance for any form of mistreatment or harassment should be in place.” “We need more than investigation of just the incident. There needs to be an assessment of the work environment to determine if this is an isolated behaviour or whether more widespread issues exist. Mistreatment and harassment should not be tolerated in any form.” (iv) creating safe environments where reporting mistreatment or harassment is encouraged: “Explore the cultural factors that are leading to the issues and be willing to significantly disrupt culture that is perpetuating these factors. There needs to be a way to report incidents in a confidential and safe manner.” “Need more diversity in leadership. Most leaders are one gender and appear the same, we need to hire people from multiple backgrounds that represent all ROs to be leaders/administration.” |
| What should oncology departments do to advance equity diversity and inclusion (EDI) in the workplace? | (i) advancement supports for underrepresented persons in RO to achieve leadership positions: “Support leadership training for underrepresented faculty and trainee members.” “Stop looking for a certain archetype as this creates a selection bias. We need to clear policies for promotion to hire people in leadership positions with different skills and backgrounds.” (ii) mandatory and comprehensive EDI education and training: “There needs to be in-person mandatory presentations to learn what EDI is and how it may manifest, clear training on policies and institutional goals related to EDI, with discussion around how to mitigate barriers to EDI goals.” “We need to educate ourselves on best practices and make conscious efforts to advance and seek expertise to improve EDI training.” |
|
What should oncology departments do to make faculty hiring practices more equitable? |
(i) transparent, inclusive, and equitable hiring practices: “We need better diversity in hiring practices, and teaching on why this is valuable. Departments need to make this a priority and openly discuss how they are taking the lead on improving recruitment processes and mitigating unconscious biases.” “There needs to be formal processes and hiring practices, informed by EDI experts, that supports the development of a diverse work force and decrease barriers for those who are underrepresented with inclusive language.” (ii) ensuring that hiring committees are diverse themselves: “Committees should be composed of a diverse group of individuals to make hiring decisions. Members should have mandatory training on hiring policies and best practices.” “Follow established university hiring practices that already focus on EDI and fairness and seek advice from hospital/university affiliates to ensure that the committee and department hiring is open to equity and diversity and hiring members are from diverse backgrounds.” (iii) hiring candidates externally/from a different training background: “There should be an external review of any hire that confirms that a job posting was publicly available with specific considerations as to whether potential hires external to the department were given due consideration. The hiring of our own trainees can perpetuate the retention of a stagnant culture, which is reinforced when we are disrupted by an external hire (i.e., the culture conflict often makes everyone wish the hire was internal, when in fact the disruption of group think was a positive). |
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Demographic category (number of respondents) | Demographic characteristic | Survey – RO data | 2022 CIHI data - RO population1 | 2021 Census data2 | Significance/Notes |
|---|---|---|---|---|---|
|
Gender Identity (267) |
Man Woman |
168 (63%) 99 (37%) |
380 (64%) 218 (36%) |
12.9m (48%) 13.8m (52%) |
|
|
Age (273) |
25-34 35-44 45-54 55-64 65+ |
15 (5%) 107 (39%) 82 (30%) 47 (17%) 22 (8%) |
- |
4.4m (22%) 4.4m (22%) 4.0m (20%) 3.3m (16%) .95m (4%) |
Census data only included for working persons, not the general population |
|
Sexual Orientation (Multiselect, 261) |
Heterosexual Gay Bisexual Asexual Queer Pansexual Questioning |
246 (94%) 10 (4%) 4 (2%) 1 (<1%) 0 0 0 |
- | - | |
|
Race/Ethnicity (Multiselect, 255) |
Caucasian/White Racialized Group Chinese South Asian4 Black Southeast Asian5 First Nations Pooled Others |
150 (59%) 105 (41%) 39 (15%) 31 (12%) 5 (2%) 4 (1%) 1 (<1%) 25 (10%) |
- |
25m (70%) 9.6m (27%) 1.7m (5%) 2.5m (7%) 1.5m (4%) 1.3m (4%) 1.8m (5%) 2.5m (7%) |
|
| Race and Gender – Subset Analysis | Caucasian Overall Caucasian Male RO Caucasian Female RO |
150 (59%) 76 (51%) 74 (49%) |
- |
25m (70%) 9.6m (27%) |
Chi-squared for Caucasian women vs racialized women = 22.7, p<0.001 |
| Racialized Overall Racialized Male RO Racialized Female RO |
105 (41%) 84 (80%) 21 (20%) |
||||
|
Religion (Multiselect, 264) |
Christianity Atheist/No religion Hinduism Islam Spiritual Judaism Buddhism Sikhism Other |
107 (41%) 106 (40%) 12 (5%) 11 (4%) 11 (4%) 11 (4%) 3 (1%) 1 (<1%) 2 (<1%) |
- |
19.3m (53%) 12.6m (34%) .83m (2%) 1.7m (5%) 80k (<1%) .36m (1%) .34m (1%) .77m (2%) 229k (<1%) |
|
|
Are you identifiable as a member of a religion? (262) |
Definitely yes Probably yes Probably no Definitely no Not sure |
17 (6%) 23 (9%) 75 (29%) 133 (51%) 14 (5%) |
- |
- |
|
|
What religion would people assume you belong to? (Multiselect, 252) |
Christianity Hinduism Buddhism Islam Judaism Confucianism Sikhism Atheist/Agnostic |
159 (63%) 20 (8%) 19 (8%) 19 (8%) 18 (7%) 8 (3%) 5 (2%) 3 (1%) |
- |
- |
|
|
Geography (265) |
Ontario Manitoba and West Quebec Maritimes |
95 (36%) 85 (32%) 68 (26%) 17 (6%) |
233 (39%) 179 (30%) 143 (24%) 43 (7%) |
10.3m (38%) 8.4m (31%) 6.2m (23%) 2.0m (8%) |
|
|
Citizenship Status (265) |
Canadian *By birth *By immigration PR Work Visa |
255 (96%) 178 (67%) 77 (29%) 6 (2%) 4 (1%) |
- |
33.1m (91%) 27m (74%) 6.1m (17%) - - |
|
|
Marital Status (267) |
Married/Domestic Single Widowed Divorced/Separated |
228 (85%) 26 (10%) 4 (1%) 9 (3%) |
- |
4.9m (57%) 3.7m (43%) - - |
|
|
How many dependents do you have? (273) |
0 1 2 3+ |
78 (29%) 42 (15%) 79 (29%) 74 (27%) |
- | - | |
|
Primary language (264) |
English French Another language |
157 (59%) 54 (20%) 53 (20%) |
- | 27.8m (76%) 8m (22%) .67m (2%) |
|
|
Degrees earned (Multiselect, 273) |
MD Masters PhD MBA JD |
273 (100%) 89 (33%) 32 (12%) 10 (4%) 2 (1%) |
- | - | |
|
Where MD was obtained (273) |
Canada International |
220 (81%) 53 (19%) |
454 (76%) 144 (24%) |
- |
|
|
Residency Training Location (273) |
Canada Elsewhere |
239 (88%) 34 (12%) |
- |
- |
|
|
Years of Practice (273) |
<5 6-10 11-15 16-20 21-25 26+ |
41 (15%) 58 (21%) 66 (24%) 24 (9%) 37 (14%) 47 (17%) |
- | - | |
|
Academic Rank (273) |
Assistant Professor Associate Full Professor Lecturer No Appointment |
110 (40%) 81 (30%) 41 (15%) 25 (9%) 16 (6%) |
- | - | |
|
How large is your practice group? (273) |
1-5 6-10 11-20 21-30 30+ |
16 (6%) 41 (15%) 113 (41%) 68 (25%) 35 (13%) |
- | - | |
|
Do parents have a degree(s)? (273) |
One Both Neither No answer |
57 (21%) 117 (43%) 94 (34%) 5 (2%) |
- | - | |
|
Income when growing up (235) |
$150,000 + $100,000-$150,000 $50,000-$100,000 $25,000-$50,000 < $25,000 I don’t know No answer |
54 (23%) 38 (16%) 76 (32%) 28 (12%) 21 (9%) 3 (1%) 15 (6%) |
- | - | |
|
How many peer-reviewed publications have you been an author on? (260) |
<5 5-10 10-25 25-50 50-100 >100 |
59 (23%) 49 (19%) 52 (20%) 40 (15%) 26 (10%) 34 (13%) |
- | - | |
|
Do you view yourself as having a disability? (270) |
Yes No Prefer not to answer |
10 (4%) 256 (95%) 4 (1%) |
- | 27%3 73% N/A |
|
|
What is your disability? (multi-select, 16) |
Deaf/hearing Mobility/physical Mental health Autism Cognitive Chronic illness Speech Other |
3 (19%) 3 (19%) 3 (19%) 2 (13%) 1 (6%) 1 (6%) 1 (6%) 2 (13%) |
- | - |
| Question (Number of Respondents) | Study Sample | Significance/Notes | |
|---|---|---|---|
|
"All in all, I feel satisfied with my job” (248) |
Strongly disagree Disagree Neither agree nor disagree Agree Strongly agree |
14 (6%) 16 (6%) 31 (13%) 114 (46%) 73 (29%) |
|
|
"All in all, I feel satisfied with my job” – Subset Analysis by gender of those picking “Disagree” or “Strongly Disagree” (30, percentage is of overall gender) |
Male Female |
22 (13%) 8 (8%) |
Chi-squared comparing gender vs satisfaction = 1.745, p=0.18 |
|
"All in all, I feel satisfied with my job” – Subset Analysis by race of those picking “Disagree” or “Strongly Disagree” (30, percentage is of overall race) |
Caucasian/White Racialized |
12 (8%) 18 (17%) |
Chi-squared comparing race vs satisfaction = 4.563, p<0.03 |
|
How often have you thought about moving to a different institution? (262) |
Never Once or twice Sometimes Often Very often |
51 (19%) 83 (32%) 87 (33%) 23 (9%) 18 (7%) |
|
|
How often have you felt regret about deciding to become a physician? (262) |
Never Once or twice Sometimes Often Very often |
131 (50%) 50 (19%) 57 (22%) 16 (6%) 8 (3%) |
|
|
A formal mentorship program exists within my department (260) |
Yes No |
107 (41%) 153 (59%) |
|
|
I currently act as a mentor to a trainee(s) and/or colleague(s) (260) |
Yes, trainee(s) Yes, colleague(s) Yes, trainee(s) and colleague(s) No |
62 (24%) 22 (8%) 35 (13%) 143 (55%) |
|
|
I currently have at least one mentor (258) |
Yes No |
64 (25%) 194 (75%) |
|
|
I currently have at least one mentor – Subset Analysis by gender for “No” responses (194, percentage is of overall gender) |
Male Female |
123 (73%) 71 (72%) |
|
|
I currently have at least one mentor – Subset Analysis by race for “No” responses (194, percentage is of overall race) |
Caucasian/White Racialized |
115 (77%) 79 (75%) |
|
|
It is important I have a mentor with similar demographic characteristics to me (260) |
Strongly disagree Disagree Neither agree nor disagree Agree Strongly agree |
33 (13%) 65 (25%) 116 (45%) 40 (15%) 6 (2%) |
|
| Question (Number of Respondents) | Study Sample | Significance/Notes | |
|---|---|---|---|
|
Thinking about the past year, how would you rate the culture of respect in your department? (263) |
Excellent Very good Good Adequate Poor Very Poor |
59 (22%) 87 (33%) 54 (21%) 33 (13%) 20 (8%) 10 (4%) |
|
|
How often did you feel that you experienced discrimination in the past 5 years while working as a radiation oncologist? (252) |
Never Once 2 - 4 times 5 - 10 times Regularly/ongoing basis |
146 (58%) 8 (3%) 54 (21%) 25 (10%) 19 (8%) |
|
|
In the past 5 years as an RO on what basis have you felt discriminated upon? (Multiselect, 201) |
Gender Race/ethnicity Age Pregnancy / caregiving National origin Marital status Level of education Political view Disability Religion Language Sexual orientation Socioeconomic status Lack of research interest Seniority IMG status Caring for elderly parents Travelling during Covid Lack of children Medical specialty |
52 (26%) 41 (20%) 31 (15%) 19 (9%) 13 (6%) 8 (4%) 7 (3%) 6 (3%) 4 (2%) 4 (2%) 5 (2%) 3 (1%) 1 (<1%) 1 (<1%) 1 (<1%) 1 (<1%) 1 (<1%) 1 (<1%) 1 (<1%) 1 (<1%) |
|
|
What was the role of the person(s) who discriminated against you? (Multiselect, 183) |
Faculty member Patient / Patient’s family Staff (administrative, non-faculty) Other allied health professional Nurse Resident / Clinical Fellow Funding agencies |
58 (32%) 58 (32%) 25 (14%) 19 (10%) 16 (9%) 6 (3%) 1 (<1%) |
|
|
Was the person who discriminated against you someone in a position to directly affect your academic, and/or professional opportunities? (251) |
Yes No Not sure Does not apply No answer |
48 (19%) 52 (21%) 7 (3%) 138 (55%) 6 (2%) |
|
|
If you experienced harassment/discrimination perpetrated by a patient/family at any time during your career, on what basis did they discriminate against you? (Multiselect, 120) |
Race/ethnicity Gender Age National origin Other Sexual orientation Disability Religion |
43 (36%) 29 (24%) 27 (23%) 10 (8%) 8 (7%) 1 (<1%) 1 (<1%) 1 (<1%) |
Chi-squared comparing sources of discrimination by gender = 39.2, p<0.0001 |
|
Women and Reported Discrimination Reasons - Subset Analysis (Multiselect, 52) |
Gender Age Pregnancy/Caregiver Responsibilities Race/ethnicity Marital Status Other |
44 (85%) 24 (46%) 14 (27%) 12 (23%) 7 (13%) 5 (10%) |
|
|
Men and Reported Discrimination Reasons - Subset Analysis (Multiselect, 47) |
Race/ethnicity Age Gender Childcare/Caregiver Responsibilities Marital Status Other |
30 (64%) 9 (19%) 7 (15%) 4 (8.5%) 1 (2%) 14 (30%) |
|
| Ethnicity and Reporting at Least One Type of Discrimination - Subset Analysis | White Racialized |
44/149 (30%) 67/111 (60%) |
Chi-squared = 24.713, p<0.001 |
|
"I understand how to and feel comfortable reporting harassment incidents at my workplace“ (252) |
Strongly disagree Somewhat disagree Neither agree/disagree Somewhat agree Strongly agree |
39 (15%) 75 (30%) 44 (17%) 66 (26%) 28 (11%) |
|
|
I have training regarding sexual harassment (multiselect, 276) |
No training In person Online module Review of institutional policy |
68 (25%) 10 (4%) 149 (54%) 49 (18%) |
|
|
I have training regarding racism (multiselect, 266) |
No training In person Online module Review of institutional policy |
82 (31%) 9 (3%) 127 (48%) 48 (18%) |
|
|
I have training regarding LGBTQ2+ peoples (multiselect, 271) |
No training In person Online Review of institutional policy |
119 (44%) 10 (4%) 95 (35%) 47 (17%) |
|
|
I have training regarding Aboriginal/Indigenous health (multiselect, 286) |
No training In person Online module Review of institutional policy |
50 (17%) 26 (9%) 164 (57%) 46 (16%) |
|
|
I have training regarding learner mistreatment (multiselect, 278) |
No training In person Online module Review of institutional policy |
99 (36%) 23 (8%) 105 (38%) 51 (18%) |
|
|
I have training regarding equity, diversity and inclusion (multiselect, 282) |
No training In person Online module Review of institutional policy |
69 (24%) 18 (6%) 145 (51%) 50 (18%) |
|
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