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Sanna V, Fedele P, Deiana G, Alicicco MG, Ninniri C, Santoro AN, Pazzola A, Fancellu A. Edmonton Symptom Assessment Scale may reduce medical visits in patients undergoing chemotherapy for breast cancer. World J Clin Oncol 2022; 13:577-586. [PMID: 36157162 PMCID: PMC9346425 DOI: 10.5306/wjco.v13.i7.577] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 06/05/2022] [Accepted: 06/27/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Adjuvant chemotherapy is recommended in high-risk breast cancer. However, no universally accepted guidelines exist on pre-chemotherapy assessment. In particular, the number and frequency of medical visits vary according to each institution’s policy. We hypothesised that the Edmonton Symptom Assessment Scale (ESAS) may have a favourable impact on the pre-treatment assessment in candidates for adjuvant chemotherapy.
AIM To investigate whether the ESAS can be used to safely reduce the number of medical visits in women with breast cancer undergoing adjuvant chemotherapy.
METHODS In a retrospectively prospective matched-pair analysis, 100 patients who completed the ESAS questionnaire before administration of adjuvant chemotherapy (ESAS Group) were compared with 100 patients who underwent chemotherapy according to the traditional modality, without ESAS (no-ESAS Group). Patients of the ESAS Group received additional visits before treatment if their ESAS score was > 3. The primary endpoint was the total number of medical visits during the entire duration of the chemotherapy period. The secondary endpoints were the occurrence of severe complications (grade 3-4) and the number of unplanned visits during the chemotherapy period.
RESULTS The study variables did not statistically differ between patients of the ESAS Group and no-ESAS Group (age P = 0.880; breast cancer stage P = 0.56; cancer histology P = 0.415; tumour size P = 0.258; lymph node status P = 0.883; immunohistochemical classification P = 0.754; type of surgery P = 0.157), except for premenopausal status (P = 0.015). The study variables did not statistically differ between patients of the ESAS Group and no-ESAS Group regarding age, cancer stage, histology, tumour size, lymph node status, immunohistochemical classification, and type of surgery. Unplanned visits during the entire duration of chemotherapy were 8 in the ESAS Group and 18 in the no-ESAS Group visits (P = 0.035). Grade 3-4 toxicity did not differ between the study groups (P = 0.652). Forty-eight patients of the ESAS Group received additional visits due to an ESAS score > 3. The mean number of medical visits was 4.38 ± 0.51 in the ESAS Group and 16.18 ± 1.82 in the no-ESAS group (P < 0.001). With multivariate analysis, women of the ESAS group were more likely to undergo additional visits for an ESAS score > 3 if they were aged 60 or older, received a mastectomy, or had tumour stage II/III.
CONCLUSION The ESAS score may safely reduce the number of medical visits in candidates for adjuvant chemotherapy for early breast cancer. Our results suggest that the ESAS score may be used for selecting a group of breast cancer patients for whom it is safe to reduce the number of medical visits in the setting of adjuvant chemotherapy. This may translate into several advantages, such as a more rational utilization of human resources and a possible reduction of coronavirus pandemic infection risk in oncologic patients.
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Affiliation(s)
- Valeria Sanna
- Unit of Medical Oncology, A.O.U. Sassari, Sassari 07100, Italy
| | - Palma Fedele
- Unit of Medical Oncology, Hospital “D. Camberlingio”, Francavilla Fontana 72100, Brindisi, Italy
| | - Giulia Deiana
- Department of Medical, Surgical and Experimental Sciences, Unit of General Surgery 2-Clinica Chirurgica, University of Sassari, Sassari 07100, Italy
| | | | - Chiara Ninniri
- Department of Medical, Surgical and Experimental Sciences, Unit of General Surgery 2-Clinica Chirurgica, University of Sassari, Sassari 07100, Italy
| | - Anna N Santoro
- Unit of Medical Oncology, Hospital “D. Camberlingio”, Francavilla Fontana 72100, Brindisi, Italy
| | - Antonio Pazzola
- Unit of Medical Oncology, A.O.U. Sassari, Sassari 07100, Italy
| | - Alessandro Fancellu
- Department of Medical, Surgical and Experimental Sciences, Unit of General Surgery 2-Clinica Chirurgica, University of Sassari, Sassari 07100, Italy
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Predictors of Urgent Cancer Care Clinic and Emergency Department Visits for Individuals Diagnosed with Cancer. CURRENT ONCOLOGY (TORONTO, ONT.) 2021; 28:1773-1789. [PMID: 34066855 PMCID: PMC8161790 DOI: 10.3390/curroncol28030165] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 04/29/2021] [Accepted: 05/04/2021] [Indexed: 01/30/2023]
Abstract
In 2013, CancerCare Manitoba (CCMB) launched an urgent cancer care clinic (UCC) to meet the needs of individuals diagnosed with cancer experiencing acute complications of cancer or its treatment. This retrospective cohort study compared the characteristics of individuals diagnosed with cancer that visited the UCC to those who visited an emergency department (ED) and determined predictors of use. Multivariable logistic mixed models were run to predict an individual’s likelihood of visiting the UCC or an ED. Scaled Brier scores were calculated to determine how greatly each predictor impacted UCC or ED use. We found that UCC visits increased up to 4 months after eligibility to visit and then decreased. ED visits were highest immediately after eligibility and then decreased. The median number of hours between triage and discharge was 2 h for UCC visits and 9 h for ED visits. Chemotherapy had the strongest association with UCC visits, whereas ED visits prior to diagnosis had the strongest association with ED visits. Variables related to socioeconomic status were less strongly associated with UCC or ED visits. Future studies would be beneficial to planning service delivery and improving clinical outcomes and patient satisfaction.
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Walsh RL, Lofters AK, Moineddin R, Krzyzanowska MK, Grunfeld E. The effect of comorbidity on primary care use during breast cancer chemotherapy: a population-based retrospective cohort study using CanIMPACT data. CMAJ Open 2021; 9:E331-E341. [PMID: 33795223 PMCID: PMC8034254 DOI: 10.9778/cmajo.20200166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Patients with breast cancer visit their primary care physicians (PCPs) more often during chemotherapy than before diagnosis, but the reasons are unclear. We assessed the association between physical comorbidities and mental health history (MHH) and the change in PCP use during adjuvant breast cancer chemotherapy. METHODS We conducted a population-based, retrospective cohort study using data from the Canadian Team to Improve Community-Based Cancer Care along the Continuum (CanIMPACT) project. Participants were women 18 years of age and older, who had received a diagnosis of stage I-III breast cancer in Ontario between 2007 and 2011 and had received surgery and adjuvant chemotherapy. We used difference-in-difference analysis using negative binomial modelling to quantify the differences in the 6-month rate of PCP visits at baseline (the 24-month period between 6 and 30 months before diagnosis) and during treatment (the 6 months from start of chemotherapy) between physical comorbidity and MHH groups. RESULTS Among 12 781 participants, the 6-month PCP visit rate increased during chemotherapy (mean 2.3 visits at baseline, 3.4 visits during chemotherapy). Patients with higher physical comorbidity levels or MHH visited their PCPs 4.2 or 1.7 more times, respectively, over 6 months compared to those with low physical comorbidity or no MHH at baseline and 2.5 or 1.1 more times, respectively, over 6 months during treatment. During treatment, the adjusted 6-month rate of PCP visits more than doubled in the group with the fewest physical comorbidities or no MHH compared with baseline (rate ratio 2.52, 95% confidence interval [CI] 2.43-2.61). This increase was lower in those with MHH (rate ratio 1.81, 95% CI 1.68-1.96) and in the highest physical comorbidity group (rate ratio 1.16, 95% CI 1.07-1.28). INTERPRETATION Patients with breast cancer who have more physical comorbidities and MHH have a higher frequency of PCP visits during adjuvant chemotherapy but lower absolute and relative increases in visits compared with baseline. Therefore, PCPs can expect to see their patients with fewer physical comorbidities and no MHH more often during chemotherapy. Primary care physicians can plan for their patients with high physical comorbidity levels and MHH to continue having frequent appointments while they undergo chemotherapy, and they can expect their patients with low physical comorbidity levels and no MHH to increase the frequency of their visits during chemotherapy, and should be prepared to provide breast cancer-related care to these patients.
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Affiliation(s)
- Rachel L Walsh
- Department of Family and Community Medicine (Walsh), Sunnybrook Health Sciences Centre; Department of Family & Community Medicine (Walsh, Lofters, Grunfeld), University of Toronto; Department of Family & Community Medicine (Lofters), Women's College Hospital; Dalla Lana School of Public Health (Moineddin), University of Toronto; ICES Central (Moineddin); Department of Medical Oncology & Hematology (Krzyzanowska), Princess Margaret Cancer Centre, University Health Network; Institute of Health Policy, Management and Evaluation (Krzyzanowska), University of Toronto; Ontario Institute for Cancer Research (Grunfeld), Toronto, Ont.
| | - Aisha K Lofters
- Department of Family and Community Medicine (Walsh), Sunnybrook Health Sciences Centre; Department of Family & Community Medicine (Walsh, Lofters, Grunfeld), University of Toronto; Department of Family & Community Medicine (Lofters), Women's College Hospital; Dalla Lana School of Public Health (Moineddin), University of Toronto; ICES Central (Moineddin); Department of Medical Oncology & Hematology (Krzyzanowska), Princess Margaret Cancer Centre, University Health Network; Institute of Health Policy, Management and Evaluation (Krzyzanowska), University of Toronto; Ontario Institute for Cancer Research (Grunfeld), Toronto, Ont
| | - Rahim Moineddin
- Department of Family and Community Medicine (Walsh), Sunnybrook Health Sciences Centre; Department of Family & Community Medicine (Walsh, Lofters, Grunfeld), University of Toronto; Department of Family & Community Medicine (Lofters), Women's College Hospital; Dalla Lana School of Public Health (Moineddin), University of Toronto; ICES Central (Moineddin); Department of Medical Oncology & Hematology (Krzyzanowska), Princess Margaret Cancer Centre, University Health Network; Institute of Health Policy, Management and Evaluation (Krzyzanowska), University of Toronto; Ontario Institute for Cancer Research (Grunfeld), Toronto, Ont
| | - Monika K Krzyzanowska
- Department of Family and Community Medicine (Walsh), Sunnybrook Health Sciences Centre; Department of Family & Community Medicine (Walsh, Lofters, Grunfeld), University of Toronto; Department of Family & Community Medicine (Lofters), Women's College Hospital; Dalla Lana School of Public Health (Moineddin), University of Toronto; ICES Central (Moineddin); Department of Medical Oncology & Hematology (Krzyzanowska), Princess Margaret Cancer Centre, University Health Network; Institute of Health Policy, Management and Evaluation (Krzyzanowska), University of Toronto; Ontario Institute for Cancer Research (Grunfeld), Toronto, Ont
| | - Eva Grunfeld
- Department of Family and Community Medicine (Walsh), Sunnybrook Health Sciences Centre; Department of Family & Community Medicine (Walsh, Lofters, Grunfeld), University of Toronto; Department of Family & Community Medicine (Lofters), Women's College Hospital; Dalla Lana School of Public Health (Moineddin), University of Toronto; ICES Central (Moineddin); Department of Medical Oncology & Hematology (Krzyzanowska), Princess Margaret Cancer Centre, University Health Network; Institute of Health Policy, Management and Evaluation (Krzyzanowska), University of Toronto; Ontario Institute for Cancer Research (Grunfeld), Toronto, Ont
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Das D, Wilfong L, Enright K, Rocque G. How Do We Align Health Services Research and Quality Improvement? Am Soc Clin Oncol Educ Book 2020; 40:1-10. [PMID: 32239962 DOI: 10.1200/edbk_281093] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Quality improvement (QI) initiatives and health services research (HSR) are commonly used to target health care quality. These disciplines are increasingly important because of the movement toward value-based health care as alternative payment and care delivery models drive institutions and investigators to focus on reducing unnecessary health care use and improving care coordination. QI efforts frequently target medical error and/or efficiency of care through the Plan-Do-Study-Act methodology. Within the QI framework, strategies for data display (e.g., Pareto charts, run charts, histograms, scatter plots) are leveraged to identify opportunities for intervention and improvement. HSR is a multidisciplinary field of study that seeks to identify the most effective way to organize, deliver, and finance health care to maximize the quality and value of care at both the individual and population levels. HSR uses a diverse set of quantitative and qualitative methodologies, such as case-control studies, cohort studies, randomized control trials, and semistructured interview/focus group evaluations. This manuscript provides examples of methodologic approaches for QI and HSR, discusses potential challenges associated with concurrent quality efforts, and identifies strategies to successfully leverage the strengths of each discipline in care delivery.
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Affiliation(s)
- Devika Das
- University of Alabama at Birmingham (UAB) Comprehensive Cancer Center, Birmingham, AL.,UAB Division of Hematology and Oncology, Birmingham, AL.,Birmingham VA Medical Center, Birmingham, AL
| | | | - Katherine Enright
- Carlo Fidani Regional Cancer Centre, Trillium Health Partners, Mississauga, Ontario, Canada.,University of Toronto, Division of Medical Oncology, Toronto, Ontario, Canada
| | - Gabrielle Rocque
- University of Alabama at Birmingham (UAB) Comprehensive Cancer Center, Birmingham, AL.,UAB Division of Hematology and Oncology, Birmingham, AL.,UAB Division of Gerontology/Geriatrics/Palliative Care, Birmingham, AL
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Powis M, Groome P, Biswanger N, Kendell C, Decker KM, Grunfeld E, McBride ML, Urquhart R, Winget M, Porter GA, Krzyzanowska MK. Cross-Canada differences in early-stage breast cancer treatment and acute-care use. Curr Oncol 2019; 26:e624-e639. [PMID: 31708656 PMCID: PMC6821122 DOI: 10.3747/co.26.5003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Background Chemotherapy has improved outcomes in early-stage breast cancer, but treatment practices vary, and use of acute care is common. We conducted a pan-Canadian study to describe treatment differences and the incidence of emergency department visits (edvs), edvs leading to hospitalization (edvhs), and direct hospitalizations (hs) during adjuvant chemotherapy. Methods The cohort consisted of women diagnosed with early-stage breast cancer (stages i-iii) during 2007-2012 in British Columbia, Manitoba, Ontario, or Nova Scotia who underwent curative surgery. Parallel provincial analyses were undertaken using linked clinical, registry, and administrative databases. The incidences of edvs, edvhs, and hs in the 6 months after treatment initiation were examined for patients treated with adjuvant chemotherapy. Results The cohort consisted of 50,224 patients. The proportion of patients who received chemotherapy varied by province, with Ontario having the highest proportion (46.4%), and Nova Scotia, the lowest proportion (38.0%). Age, stage, receptor status, comorbidities, and geographic location were associated with receipt of chemotherapy in all provinces. Ontario had the highest proportion of patients experiencing an edv (36.1%), but the lowest proportion experiencing h (6.4%). Conversely, British Columbia had the lowest proportion of patients experiencing an edv (16.0%), but the highest proportion experiencing h (26.7%). The proportion of patients having an edvh was similar across provinces (13.9%-16.8%). Geographic location was associated with edvs, edvhs, and hs in all provinces. Conclusions Intra- and inter-provincial differences in the use of chemotherapy and acute care were observed. Understanding variations in care can help to identify gaps and opportunities for improvement and shared learnings.
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Affiliation(s)
- M Powis
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON
| | - P Groome
- Division of Cancer Care and Epidemiology, Cancer Research Institute, Queen's University, Kingston, ON
| | - N Biswanger
- Epidemiology and Cancer Registry Department, CancerCare Manitoba, Winnipeg, MB
| | - C Kendell
- Cancer Outcomes Research Program, Department of Surgery, Dalhousie University and Nova Scotia Health Authority, Halifax, NS
| | - K M Decker
- Department of Community Health Sciences, University of Manitoba, Winnipeg, MB
- Epidemiology and Cancer Registry, CancerCare Manitoba, Winnipeg, MB
| | - E Grunfeld
- Department of Family and Community Medicine, University of Toronto, Toronto, ON
| | - M L McBride
- Cancer Control Research, BC Cancer, Vancouver, BC
| | | | - M Winget
- Stanford University School of Medicine, Stanford, CA, U.S.A
| | - G A Porter
- Department of Surgery, Queen Elizabeth ii Health Sciences Centre, Halifax, NS
| | - M K Krzyzanowska
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON
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Groome PA, McBride ML, Jiang L, Kendell C, Decker KM, Grunfeld E, Krzyzanowska MK, Winget M. Lessons Learned: It Takes a Village to Understand Inter-Sectoral Care Using Administrative Data across Jurisdictions. Int J Popul Data Sci 2018; 3:440. [PMID: 32935017 PMCID: PMC7299469 DOI: 10.23889/ijpds.v3i3.440] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Cancer care is complex and exists within the broader healthcare system. The CanIMPACT team sought to enhance primary cancer care capacity and improve integration between primary and cancer specialist care, focusing on breast cancer. In Canada, all medically-necessary healthcare is publicly funded but overseen at the provincial/territorial level. The CanIMPACT Administrative Health Data Group's (AHDG) role was to describe inter-sectoral care across five Canadian provinces: British Columbia, Alberta, Manitoba, Ontario and Nova Scotia. This paper describes the process used and challenges faced in creating four parallel administrative health datasets. We present the content of those datasets and population characteristics. We provide guidance for future research based on 'lessons learned'. The AHDG conducted population-based comparisons of care for breast cancer patients diagnosed from 2007-2011. We created parallel provincial datasets using knowledge from data inventories, our previous work, and ongoing bi-weekly conference calls. Common dataset creation plans (DCPs) ensured data comparability and documentation of data differences. In general, the process had to be flexible and iterative as our understanding of the data and needs of the broader team evolved. Inter-sectoral data inconsistencies that we had to address occurred due to differences in: 1) healthcare systems, 2) data sources, 3) data elements and 4) variable definitions. Our parallel provincial datasets describe the breast cancer diagnostic, treatment and survivorship phases and address ten research objectives. Breast cancer patient demographics reflect inter-provincial general population differences. Across provinces, disease characteristics are similar but underlying health status and use of healthcare services differ. Describing healthcare across Canadian jurisdictions assesses whether our provincial healthcare systems are delivering similar high quality, timely, accessible care to all of our citizens. We have provided a description of our experience in trying to achieve this goal and, for future use, we include a list of 'lessons learned' and a list of recommended steps for conducting this kind of work. KEY FINDINGS The conduct of inter-sectoral research using linked administrative health data requires a committed team that is adequately resourced and has a set of clear, feasible objectives at the start.Guiding principles include: maximization of sectoral participation by including single-jurisdiction expertise and making the most inclusive data decisions; use of living documents that track all data decisions and careful consideration about data quality and availability differences.Inter-sectoral research requires a good understanding of the local healthcare system and other contextual issues for appropriate interpretation of observed differences.
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Affiliation(s)
- Patti Ann Groome
- Division of Cancer Care and Epidemiology, Cancer Research Institute, Queen’s University, Kingston, Ontario Canada
| | - Mary L McBride
- Cancer Control Research, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Li Jiang
- Critical Care Services Ontario, Toronto, Ontario, Canada
| | - Cynthia Kendell
- Cancer Outcomes Research Program, Dalhousie University and Nova Scotia Health Authority, Halifax, Nova Scotia, Canada
| | - Kathleen M Decker
- Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Epidemiology and Cancer Registry, CancerCare Manitoba, Winnipeg, Manitoba, Canada
| | - Eva Grunfeld
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Monika K Krzyzanowska
- University Health Network, Toronto, Ontario, Canada
- Cancer Care Ontario, Toronto, Ontario, Canada
| | - Marcy Winget
- Stanford University School of Medicine, Stanford, California, U.S.A.
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Grunfeld E. The two solitudes of primary care and cancer specialist care: is there a bridge? ACTA ACUST UNITED AC 2017; 24:69-70. [PMID: 28490918 DOI: 10.3747/co.24.3488] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
In Canadian Cancer Statistics, the Canadian Cancer Society recently reported a projected increase in cancer incidence of 40% by 2030. [...]
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Affiliation(s)
- E Grunfeld
- Ontario Institute for Cancer Research, Toronto, and.,Department of Family and Community Medicine, University of Toronto, Toronto, ON
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