Julie Gilbert
Cancer Care Ontario
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Featured researches published by Julie Gilbert.
Psycho-oncology | 2012
Deborah Dudgeon; Susan King; Doris Howell; Esther Green; Julie Gilbert; Erin Hughes; Brendon Lalonde; Helen Angus; Carol Sawka
Objective: In late 2006, Cancer Care Ontario launched a quality improvement initiative to implement routine screening with the Edmonton Symptom Assessment System (ESAS) for cancer patients seen in fourteen Regional Cancer Centres throughout the province.
Qualitative Health Research | 2012
Pia Kontos; Karen-Lee Miller; Julie Gilbert; Gail J. Mitchell; Angela Colantonio; Michelle Keightley; Cheryl Cott
Traumatic brain injury often results in physical, behavioral, and cognitive impairments perceived by health care practitioners to limit or exclude clients’ full participation in treatment decision making. We used qualitative methods to evaluate the short- and long-term impact of “After the Crash: A Play About Brain Injury,” a research-based drama designed to teach client-centered care principles to brain injury rehabilitation staff. We conducted interviews and observations with staff of two inpatient neurorehabilitation units in Ontario, Canada. Findings demonstrate the effectiveness of the play in influencing practice through the avoidance of medical jargon to improve clients’ understanding and participation in treatment; newfound appreciation for clients’ needs for emotional expression and sexual intimacy; increased involvement of family caregivers; and avoidance of staff discussions as if clients were unaware. These findings suggest that research-based drama can effect reflexivity, empathy, and practice change to facilitate a client-centered culture of practice in brain injury rehabilitation.
Health Promotion and Chronic Disease Prevention in Canada | 2018
Li Jiang; Julie Gilbert; Hugh Langley; Rahim Moineddin; Patti A. Groome
INTRODUCTIONnBreast cancer is detected through screening or through signs and symptoms. In Canada, mammograms for breast cancer screening are offered in organized programs or independently (opportunistic screening). Province of Ontario breast Diagnostic Assessment Units (DAUs) are facility-based programs that provide coordinated breast cancer diagnostic services, as opposed to usual care, in which the primary care provider arranges the tests and consultations. This study describes breast cancer detection method, diagnostic interval and DAU use across Ontario.nnnMETHODSnThe study cohort consisted of 6898 women with invasive breast cancer diagnosed in 2011. We used the Ontario Cancer Registry linked to administrative health care databases. We determined the detection method using the Ontario Breast Screening Program (OBSP) data and physician claims. The diagnostic interval was the time between the initial screen, specialist referral or first diagnostic test and the cancer diagnosis. The diagnostic route (whether through DAU or usual care) was determined based on the OBSP records and biopsy or surgery location. We mapped the diagnostic interval and DAU coverage geographically by womens residence.nnnRESULTSnIn 2011, 36% of Ontario breast cancer patients were screen-detected, with a 48% rate among those aged 50 to 69. The provincial median diagnostic interval was 32 days, with county medians ranging from 15 to 65 days. Provincially, 48.4% were diagnosed at a DAU, and this ranged from zero to 100% across counties.nnnCONCLUSIONnThe screening detection rate in age-eligible breast cancer patients was lower than published population-wide screening rates. Geographic mapping of the diagnostic interval and DAU use reveals regional variations in cancer diagnostic care that need to be addressed.
European Journal of Cancer Care | 2018
Li Jiang; Julie Gilbert; Hugh Langley; Rahim Moineddin; Patti A. Groome
The length of the cancer diagnostic interval can affect a patients survival and psychosocial well-being. Ontario Diagnostic Assessment Units (DAUs) were designed to expedite the diagnostic process through coordinated care. We examined the effect of DAUs on the diagnostic interval among female patients with symptomatic breast cancer in Ontario using the Ontario Cancer Registry linked to administrative healthcare data. The diagnostic interval was defined as the time from patients first referral or test to the cancer diagnosis. DAU use was determined based on the hospital where the breast biopsy/surgery was performed. Multivariable quantile regression and logistic regression analyses adjusted for possible confounders. Forty-seven per cent of patients were diagnosed in a DAU and 53% in usual care (UC). DAUs achieved the Canadian timeliness targets more often than UC (71.7% vs. 58.1%, respectively). DAU use was associated with a 10-day (95% CI: 7.8-11.9) reduction in the median diagnostic interval. This effect increased to 19xa0days for patients at the 75th percentile and 22xa0days for those at the 90th percentile of the diagnostic interval distribution. Use of an Ontario DAU is associated with a shorter time to diagnosis in patients with symptomatic breast cancer, especially for those who would otherwise wait the longest.
Implementation Science | 2014
Anna R. Gagliardi; Terri Stuart-McEwan; Julie Gilbert; Frances C. Wright; Jeffrey S. Hoch; Melissa Brouwers; Mark J. Dobrow; Thomas K. Waddell; David R. McCready
BackgroundInter-professional collaborative care (ICC) for cancer leads to multiple system, organizational, professional, and patient benefits, but is limited by numerous challenges. Empirical research on interventions that promote or enable ICC is sparse so guidance on how to achieve ICC is lacking. Research shows that ICC for diagnosis could be improved. Diagnostic assessment programs (DAPs) appear to be a promising model for enabling ICC. The purpose of this study was to explore how DAP structure and function enable ICC, and whether that may be associated with organizational and clinical outcomes.MethodsA case study approach will be used to explore ICC among eight DAPs that vary by type of cancer (lung, breast), academic status, and geographic region. To describe DAP function and outcomes, and gather information that will enable costing, recommendations expressed in DAP standards and clinical guidelines will be assessed through retrospective observational study. Data will be acquired from databases maintained by participating DAPs and the provincial cancer agency, and confirmed by and supplemented with review of medical records. We will conduct a pilot study to explore the feasibility of estimating the incremental cost-effectiveness ratio using person-level data from medical records and other sources. Interviews will be conducted with health professionals, staff, and referring physicians from each DAP to learn about barriers and facilitators of ICC. Qualitative methods based on a grounded approach will be used to guide sampling, data collection and analysis.DiscussionFindings may reveal opportunities for unique structures, interventions or tools that enable ICC that could be developed, implemented, and evaluated through future research. This information will serve as a formative needs assessment to identify the nature of ongoing or required improvements, which can be directly used by our decision maker collaborators, and as a framework by policy makers, cancer system managers, and DAP managers elsewhere to strategically plan for and implement diagnostic cancer services.
Journal of Clinical Oncology | 2018
Nicole Mittmann; Hasmik Beglaryan; Ning Liu; S.J. Seung; Farah Rahman; Julie Gilbert; Jillian Ross; Stephanie De Rossi; Craig C. Earle; Eva Grunfeld; Jonathan Sussman
Promotion de la santé et prévention des maladies chroniques au Canada | 2018
Li Jiang; Julie Gilbert; Hugh Langley; Rahim Moineddin; Patti A. Groome
Journal of Clinical Oncology | 2018
Seungree Nam; Julie Gilbert; Jonathan Sussman; Leta Marie Forbes; Victoria Zwicker; Paula Doering; Hasmik Beglaryan
Journal of Clinical Oncology | 2018
Julie Gilbert; Sarah Wheeler; Junell D'Souza; Jonathan Irish; Elaine Meertens; Vicky Simanovski; Garth Matheson
International Journal for Population Data Science | 2017
Patti A. Groome; Marlo Whitehead; Li Jiang; Julie Gilbert; Eva Grunfeld; Hugh Langley; Aisha Lofters; Rahim Moineddin; Geoff Porter