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Fox, Colleen

https://orcid.org/0000-0002-3807-2646

Mayo Clinic

Cancer Care Ontario

Citations 2

Establishing best practices in cancer online support groups: protocol for a realist review
Babinski, Stephanie , Wong, Geoff , Tricco, Andrea C. , Englesakis, Marina , Cyr, Alaina , Potts, Henry , Perski, Olga , Young, Colleen , Wassersug, Richard J. , Forster, Victoria J. , Soobiah, Charlene , Fox, Colleen , Gothard-Huang, Alison, Bender, Jacqueline L , Wong, Geoff , Tricco, Andrea C , Englesakis, Marina , Potts, Henry , Perski, Olga , Young, Colleen D , Wassersug, Richard , Forster, Victoria , Papadakos, Janet , Soobiah, Charlene , Witteman, Holly , Esplen, Mary Jane

BMJ Open | November 3, 2021 | Volume: 11 | Issue: 11 | Pages: e053916

10.1136/bmjopen-2021-053916 Get It

Introduction Considerable observational evidence suggests that cancer online support groups reduce feelings of isolation, depression and anxiety, enhance coping and self-management, and lead to better informed patients. Other studies indicate that cancer online support groups can increase distress. Yet no studies theorise the complex, context-dependent mechanisms by which cancer online support groups generate their—sometimes contrasting—outcomes. Methods and analysis Guided by an integrated knowledge translation approach and the strategy for patient-oriented research, we will conduct a realist review of cancer online support groups in partnership with stakeholders. We will follow Pawson’s five steps and existing quality standards to develop a program theory that explains how cancer online support groups work, for whom and in what circumstances. The specific research questions will be: what positive and negative outcomes have been reported on cancer online support groups? What are the mechanisms that are associated with these outcomes, in which contexts and for whom? Through a rigorous review of relevant scientific and grey literature, as well as ongoing dialogue with stakeholders, a program theory will be developed to explain who benefits from cancer online support groups and who does not, what benefits they derive (or do not), and the factors that affect these outcomes. Ethics and dissemination The use of secondary data for this review precludes the need for ethical approval. Dissemination will be informed by the knowledge-to-action framework and will consist of tailored knowledge products that are conceived of collaboratively with stakeholders. These will include peer-reviewed publications on how cancer online support groups can be optimised and best practice recommendations to maximise the benefits experienced by people with cancer. These traditional scientific outputs, along with their respective evidence summaries, will be amplified through strategic social media events hosted and promoted by knowledge users. PROSPERO registration number CRD42021250046.
Assessing burnout among oncologists in Ontario, Canada.
Singh, Simron , Farrelly, Ashley , Chan, Catherine, Nazeri-Rad, Narges, Nicholls, Brett, Bellicoso, Daniela , Eisen, Andrea , Fox, Colleen , Holloway, Claire , Rothenberger, David A. , Eisen, Andrea , Bauman, Glenn , Falkson, Conrad B , Kennedy, Erin , McLeod, Robin S. , Trudeau, Maureen , Shanafelt, Tait D.

Journal of Clinical Oncology | October 8, 2020 | Volume: 38 | Issue: 29_suppl | Pages: 41-41

10.1200/jco.2020.38.29_suppl.41 Get It

41 Background: Provider experience and physician burnout has been recognized as a critical issue in medicine. Ontario, Canada has a single payer cancer system run by Ontario Health (Cancer Care Ontario) with a mandate covering system level planning and delivery of cancer services, funding, and quality improvement. As part of a larger provincial initiative to address clinician burnout, we examined the prevalence and drivers of burnout in practicing physician oncologists in Ontario. Methods: In November-December 2019, surgical, medical, hematological, and radiation oncologists in Ontario were invited to complete an anonymous online survey to assess burnout and its drivers. Burnout prevalence was assessed through the Maslach Burnout Inventory – Human Services Survey for Medical Personnel (MBI-HSS MP). Data on demographic, workplace, engagement, and practice profiles were collected. Logistic regression modeling was conducted to assess key variables associated with “high” burnout using a common definition of high scores on the MBI subscales of emotional exhaustion (EE) (> 27) and/or depersonalization (DP) (>10). Results: Response rate to the survey was 44% (n=418) with 72% reporting high levels of burnout. Mean scores for EE (30.7, SD 12.1) and DP (9.9, SD 6.7) were consistent with high burnout. Participants endorsed known drivers of burnout including: 1) a poor culture of wellness at work (e.g., not comfortable talking to leadership (72%), 2) inefficiencies of practice (e.g. feeling insufficient documentation time (67%)) and 3) personal resilience (e.g. not feeling they are contributing professionally in ways they value (21%)). Age (<45yrs) (OR: 2.15), poor/marginal control over workload (OR: 4.42), feeling used/unappreciated (OR: 2.63), working atmosphere that feels hectic/chaotic (OR: 2.68), and insufficient time for documentation requirements (OR: 2.52) significantly impacted the odds of high burnout in the regression model (p<0.05). Conclusions: The high rate of burnout among oncology physicians in a single payer public cancer system in Ontario is concerning for the wellbeing of providers, patients and system sustainability. Drivers important for maintaining a culture of wellness and efficiency of practice will require local, regional and provincial health policy to improve. Next steps will include raising awareness with provincial initiatives/policy to address key burnout drivers, and examining the impact of working under pandemic conditions (Covid-19) on oncologist burnout.