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Vaandering A, Lievens Y. Conducting a National RT-QI Project - Challenges and Opportunities. Clin Oncol (R Coll Radiol) 2025; 38:103559. [PMID: 38616446 DOI: 10.1016/j.clon.2024.03.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/16/2024]
Abstract
Over the past decade, there has been an increased interest in defining and monitoring quality indicators (QI) in the field of oncology including the field of radiation oncology. The comprehensive gathering and analysis of QIs on a multicentric scale offer valuable insights into identifying gaps in clinical practice and fostering continuous improvement. This article delineates the evolution and results of the Belgian national project dedicated to radiotherapy-specific QIs while also exploring the challenges and opportunities inherent in implementing such a multi-centric initiative.
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Affiliation(s)
- A Vaandering
- UCL Cliniques Universitaires St Luc, Department of Radiation Oncology, Brussels, Belgium.
| | - Y Lievens
- Ghent University Hospital and Ghent University, Department of Radiation Oncology, Ghent, Belgium
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2
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Grover S, Court L, Amoo-Mitchual S, Longo J, Rodin D, Scott AA, Lievens Y, Yap ML, Abdel-Wahab M, Lee P, Harsdorf E, Khader J, Jia X, Dosanjh M, Elzawawy A, Ige T, Pomper M, Pistenmaa D, Hardenbergh P, Petereit DG, Sargent M, Cina K, Li B, Anacak Y, Mayo C, Prattipati S, Lasebikan N, Rendle K, O'Brien D, Wendling E, Coleman CN. Global Workforce and Access: Demand, Education, Quality. Semin Radiat Oncol 2024; 34:477-493. [PMID: 39271284 DOI: 10.1016/j.semradonc.2024.07.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2024]
Abstract
There has long existed a substantial disparity in access to radiotherapy globally. This issue has only been exacerbated as the growing disparity of cancer incidence between high-income countries (HIC) and low and middle-income countries (LMICs) widens, with a pronounced increase in cancer cases in LMICs. Even within HICs, iniquities within local communities may lead to a lack of access to care. Due to these trends, it is imperative to find solutions to narrow global disparities. This requires the engagement of a diverse cohort of stakeholders, including working professionals, non-governmental organizations, nonprofits, professional societies, academic and training institutions, and industry. This review brings together a diverse group of experts to highlight critical areas that could help reduce the current global disparities in radiation oncology. Advancements in technology and treatment, such as artificial intelligence, brachytherapy, hypofractionation, and digital networks, in combination with implementation science and novel funding mechanisms, offer means for increasing access to care and education globally. Common themes across sections reveal how utilizing these new innovations and strengthening collaborative efforts among stakeholders can help improve access to care globally while setting the framework for the next generation of innovations.
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Affiliation(s)
- Surbhi Grover
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Botswana-University of Pennsylvania Partnership, Gaborone, Botswana.
| | - Laurence Court
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center
| | - Sheldon Amoo-Mitchual
- Botswana-University of Pennsylvania Partnership, Gaborone, Botswana; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - John Longo
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI
| | - Danielle Rodin
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada; Global Cancer Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - Yolande Lievens
- Department of Radiation Oncology, Ghent University Hospital, Belgium; Ghent University, Ghent, Belgium
| | - Mei Ling Yap
- Liverpool and Macarthur Cancer Therapy Centres, Western Sydney University, Campbelltown, New South Wales, Australia; The George Institute for Global Health, UNSW Sydney, Barangaroo, NSW, Australia; Collaboration for Cancer Outcomes, Research and Evaluation (CCORE), Ingham Institute, UNSW Sydney, Liverpool, NSW, Australia
| | - May Abdel-Wahab
- Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Peter Lee
- Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Ekaterina Harsdorf
- Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Jamal Khader
- Radiation Oncology Department, King Hussein Cancer Center, Amman, Jordan
| | - Xun Jia
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD
| | - Manjit Dosanjh
- ICEC, CERN, Geneva, Switzerland; University of Oxford, Oxford, UK
| | - Ahmed Elzawawy
- Department of Clinical Oncology, Suez Canal University, Ismailia, Egypt; Alsoliman Clinical and Radiation Oncology Center, Port Said, Egypt
| | | | - Miles Pomper
- James Martin Center for Nonproliferation Studies, Washington, DC; ICEC, International Cancer Expert Corps, Washington, DC
| | | | | | - Daniel G Petereit
- Monument Health Cancer Care Institute Rapid City, South Dakota; Avera Research Institute, Sioux Falls, SD
| | | | | | - Benjamin Li
- University of Washington, Seattle, WA; Fred Hutch Cancer Center, Seattle, WA
| | - Yavuz Anacak
- Department of Radiation Oncology, Ege University, Faculty of Medicine, Izmir, Turkey
| | - Chuck Mayo
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | | | - Nwamaka Lasebikan
- Department of Radiation and Clinical Oncology, University of Nigeria Teaching Hospital, Enugu, Nigeria
| | - Katharine Rendle
- Department of Family Medicine & Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Donna O'Brien
- ICEC, International Cancer Expert Corps, Washington, DC
| | | | - C Norman Coleman
- ICEC, International Cancer Expert Corps, Washington, DC; Radiation Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD
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3
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Cruz-Lim EM, Mou B, Baker S, Arbour G, Stefanyk K, Jiang W, Liu M, Bergman A, Schellenberg D, Alexander A, Berrang T, Bang A, Chng N, Matthews Q, Carolan H, Hsu F, Miller S, Atrchian S, Chan E, Ho C, Mohamed I, Lin A, Huang V, Mestrovic A, Hyde D, Lund C, Pai H, Valev B, Lefresne S, Tyldesley S, Olson R. Prospective Longitudinal Assessment of Quality of Life After Stereotactic Ablative Radiotherapy for Oligometastases: Analysis of the Population-based SABR-5 Phase II Trial. Clin Oncol (R Coll Radiol) 2024; 36:148-156. [PMID: 38087705 DOI: 10.1016/j.clon.2023.11.041] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/11/2023] [Accepted: 11/28/2023] [Indexed: 02/18/2024]
Abstract
AIMS To evaluate longitudinal patient-reported quality of life (QoL) in patients treated with stereotactic ablative radiotherapy (SABR) for oligometastases. MATERIALS AND METHODS The SABR-5 trial was a population-based single-arm phase II study of SABR to up to five sites of oligometastases, conducted in six regional cancer centres in British Columbia, Canada from 2016 to 2020. Prospective QoL was measured using treatment site-specific QoL questionnaires at pre-treatment baseline and at 3, 6, 9, 12, 15, 18, 21, 24, 30 and 36 months after treatment. Patients with bone metastases were assessed with the Brief Pain Inventory (BPI). Patients with liver, adrenal and abdominopelvic lymph node metastases were assessed with the Functional Assessment of Chronic Illness Therapy-Abdominal Discomfort (FACIT-AD). Patients with lung and intrathoracic lymph node metastases were assessed with the Prospective Outcomes and Support Initiative (POSI) lung questionnaire. The two one-sided test procedure was used to assess equivalence between the worst QoL score and the baseline score of individual patients. The mean QoL at all time points was used to determine the trajectory of QoL response after SABR. The proportion of patients with 'stable', 'improved' or 'worsened' QoL was determined for all time points based on standard minimal clinically important differences (MCID; BPI worst pain = 2, BPI functional interference score [FIS] = 0.5, FACIT-AD Trial Outcome Index [TOI] = 8, POSI = 3). RESULTS All enrolled patients with baseline QoL assessment and at least one follow-up assessment were analysed (n = 133). On equivalence testing, the patients' worst QoL scores were clinically different from baseline scores and met MCID (BPI worst pain mean difference: 1.8, 90% confidence interval 1.19 to 2.42]; BPI FIS mean difference: 1.68, 90% confidence interval 1.15 to 2.21; FACIT-AD TOI mean difference: -8.76, 90% confidence interval -11.29 to -6.24; POSI mean difference: -4.61, 90% confidence interval -6.09 to -3.14). However, the mean FIS transiently worsened at 9, 18 and 21 months but eventually returned to stable levels. The mean FACIT and POSI scores also worsened at 36 months, albeit with a limited number of responses (n = 4 and 8, respectively). Most patients reported stable QoL at all time points (range: BPI worst pain 71-82%, BPI FIS 45-78%, FACIT-AD TOI 50-100%, POSI 25-73%). Clinically significant stability, worsening and improvement were seen in 70%/13%/18% of patients at 3 months, 53%/28%/19% at 18 months and 63%/25%/13% at 36 months. CONCLUSIONS Transient decreases in QoL that met MCID were seen between patients' worst QoL scores and baseline scores. However, most patients experienced stable QoL relative to pre-treatment levels on long-term follow-up. Further studies are needed to characterise patients at greatest risk for decreased QoL.
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Affiliation(s)
- E M Cruz-Lim
- University of British Columbia, British Columbia, Canada; BC Cancer - Kelowna, Kelowna, British Columbia, Canada
| | - B Mou
- University of British Columbia, British Columbia, Canada; BC Cancer - Kelowna, Kelowna, British Columbia, Canada
| | - S Baker
- University of British Columbia, British Columbia, Canada; BC Cancer - Surrey, Surrey, British Columbia, Canada
| | - G Arbour
- University of British Columbia, British Columbia, Canada
| | - K Stefanyk
- University of British Columbia, British Columbia, Canada
| | - W Jiang
- University of British Columbia, British Columbia, Canada; BC Cancer - Surrey, Surrey, British Columbia, Canada
| | - M Liu
- University of British Columbia, British Columbia, Canada; BC Cancer - Vancouver, Vancouver, British Columbia, Canada
| | - A Bergman
- University of British Columbia, British Columbia, Canada; BC Cancer - Vancouver, Vancouver, British Columbia, Canada
| | - D Schellenberg
- University of British Columbia, British Columbia, Canada; BC Cancer - Surrey, Surrey, British Columbia, Canada
| | - A Alexander
- University of British Columbia, British Columbia, Canada; BC Cancer - Victoria, Victoria, British Columbia, Canada
| | - T Berrang
- University of British Columbia, British Columbia, Canada; BC Cancer - Victoria, Victoria, British Columbia, Canada
| | - A Bang
- University of British Columbia, British Columbia, Canada; BC Cancer - Vancouver, Vancouver, British Columbia, Canada
| | - N Chng
- BC Cancer - Prince George, Prince George, British Columbia, Canada
| | - Q Matthews
- BC Cancer - Prince George, Prince George, British Columbia, Canada
| | - H Carolan
- University of British Columbia, British Columbia, Canada; BC Cancer - Vancouver, Vancouver, British Columbia, Canada
| | - F Hsu
- University of British Columbia, British Columbia, Canada; BC Cancer - Abbotsford, Abbotsford, British Columbia, Canada
| | - S Miller
- University of British Columbia, British Columbia, Canada; BC Cancer - Prince George, Prince George, British Columbia, Canada
| | - S Atrchian
- University of British Columbia, British Columbia, Canada; BC Cancer - Kelowna, Kelowna, British Columbia, Canada
| | - E Chan
- University of British Columbia, British Columbia, Canada; BC Cancer - Kelowna, Kelowna, British Columbia, Canada
| | - C Ho
- University of British Columbia, British Columbia, Canada; BC Cancer - Surrey, Surrey, British Columbia, Canada
| | - I Mohamed
- University of British Columbia, British Columbia, Canada; BC Cancer - Kelowna, Kelowna, British Columbia, Canada
| | - A Lin
- University of British Columbia, British Columbia, Canada; BC Cancer - Kelowna, Kelowna, British Columbia, Canada
| | - V Huang
- BC Cancer - Surrey, Surrey, British Columbia, Canada
| | - A Mestrovic
- BC Cancer - Vancouver, Vancouver, British Columbia, Canada
| | - D Hyde
- University of British Columbia, British Columbia, Canada; BC Cancer - Kelowna, Kelowna, British Columbia, Canada
| | - C Lund
- University of British Columbia, British Columbia, Canada; BC Cancer - Surrey, Surrey, British Columbia, Canada
| | - H Pai
- University of British Columbia, British Columbia, Canada; BC Cancer - Victoria, Victoria, British Columbia, Canada
| | - B Valev
- University of British Columbia, British Columbia, Canada; BC Cancer - Victoria, Victoria, British Columbia, Canada
| | - S Lefresne
- University of British Columbia, British Columbia, Canada; BC Cancer - Vancouver, Vancouver, British Columbia, Canada
| | - S Tyldesley
- University of British Columbia, British Columbia, Canada; BC Cancer - Vancouver, Vancouver, British Columbia, Canada
| | - R Olson
- University of British Columbia, British Columbia, Canada; BC Cancer - Prince George, Prince George, British Columbia, Canada.
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Mayo CS, Feng MU, Brock KK, Kudner R, Balter P, Buchsbaum JC, Caissie A, Covington E, Daugherty EC, Dekker AL, Fuller CD, Hallstrom AL, Hong DS, Hong JC, Kamran SC, Katsoulakis E, Kildea J, Krauze AV, Kruse JJ, McNutt T, Mierzwa M, Moreno A, Palta JR, Popple R, Purdie TG, Richardson S, Sharp GC, Satomi S, Tarbox LR, Venkatesan AM, Witztum A, Woods KE, Yao Y, Farahani K, Aneja S, Gabriel PE, Hadjiiski L, Ruan D, Siewerdsen JH, Bratt S, Casagni M, Chen S, Christodouleas JC, DiDonato A, Hayman J, Kapoor R, Kravitz S, Sebastian S, Von Siebenthal M, Bosch W, Hurkmans C, Yom SS, Xiao Y. Operational Ontology for Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data From Patients Treated for Cancer. Int J Radiat Oncol Biol Phys 2023; 117:533-550. [PMID: 37244628 PMCID: PMC10741247 DOI: 10.1016/j.ijrobp.2023.05.033] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 05/17/2023] [Accepted: 05/19/2023] [Indexed: 05/29/2023]
Abstract
PURPOSE The ongoing lack of data standardization severely undermines the potential for automated learning from the vast amount of information routinely archived in electronic health records (EHRs), radiation oncology information systems, treatment planning systems, and other cancer care and outcomes databases. We sought to create a standardized ontology for clinical data, social determinants of health, and other radiation oncology concepts and interrelationships. METHODS AND MATERIALS The American Association of Physicists in Medicine's Big Data Science Committee was initiated in July 2019 to explore common ground from the stakeholders' collective experience of issues that typically compromise the formation of large inter- and intra-institutional databases from EHRs. The Big Data Science Committee adopted an iterative, cyclical approach to engaging stakeholders beyond its membership to optimize the integration of diverse perspectives from the community. RESULTS We developed the Operational Ontology for Oncology (O3), which identified 42 key elements, 359 attributes, 144 value sets, and 155 relationships ranked in relative importance of clinical significance, likelihood of availability in EHRs, and the ability to modify routine clinical processes to permit aggregation. Recommendations are provided for best use and development of the O3 to 4 constituencies: device manufacturers, centers of clinical care, researchers, and professional societies. CONCLUSIONS O3 is designed to extend and interoperate with existing global infrastructure and data science standards. The implementation of these recommendations will lower the barriers for aggregation of information that could be used to create large, representative, findable, accessible, interoperable, and reusable data sets to support the scientific objectives of grant programs. The construction of comprehensive "real-world" data sets and application of advanced analytical techniques, including artificial intelligence, holds the potential to revolutionize patient management and improve outcomes by leveraging increased access to information derived from larger, more representative data sets.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Dan Ruan
- University of California, Los Angeles
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- University of California, San Francisco
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Vaandering A, Jansen N, Weltens C, Moretti L, Stellamans K, Vanhoutte F, Scalliet P, Remouchamps V, Lievens Y. Radiotherapy-specific quality indicators at national level: How to make it happen. Radiother Oncol 2023; 178:109433. [PMID: 36464181 DOI: 10.1016/j.radonc.2022.11.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 11/22/2022] [Accepted: 11/27/2022] [Indexed: 12/03/2022]
Abstract
PURPOSE /OBJECTIVE To promote best practice and quality of care, the Belgian College of Physicians for Radiotherapy Centers established a set of radiotherapy specific quality indicators for benchmarking on a national level. This paper describes the development, the collected QIs, the observed trends and the departments' evaluation of this initiative. MATERIAL AND METHODS The Donabedian approach was used, focussing on structural, process and outcome QIs. The criteria for QI selection were availability, required for low-threshold regular collection, and applicability to guidelines and good practice. The QIs were collected yearly and individualized reports were sent out to all RT departments. In 2021, a national survey was held to evaluate the ease of data collection and submission, and the perceived importance and validity of the collected QIs. RESULTS 18 structural QI and 37 process and outcome parameters (n = 25 patients/pathology/department) were collected. The participation rate amounted to 95 % overall. The analysis gave a national overview of RT activity, resources, clinical practice and reported acute toxicities. The individualized reports allowed departments to benchmark their performance. The 2021 survey indicated that the QIs were overall easy to collect, relevant and reliable. The collection of acute recorded toxicities was deemed a weak point due to inter-observer variabilities and lack of follow-up time. CONCLUSION QI collection on a national level is a valuable process in steering quality improvement initiatives. The feasibility and relevance was demonstrated with a high level of participation. The national initiative will continue to evolve as a quality monitoring and improvement tool.
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Affiliation(s)
- Aude Vaandering
- UCL Cliniques Universitaires St Luc, Department of radiation oncology, Brussels, Belgium; Center of Molecular Imaging, Radiotherapy and Oncology (MIRO), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Brussels, Belgium.
| | - Nicolas Jansen
- University Hospital of Liège, Department of radiation oncology, Liège, Belgium
| | - Caroline Weltens
- Department of Radiation Oncology, University Hospitals Leuven, KU Leuven, Belgium
| | - Luigi Moretti
- Institut Jules Bordet, Department of radiation oncology, Brussels, Belgium
| | - Karin Stellamans
- AZ Groeninge, Department of radiation oncology, Kortrijk, Belgium
| | - Frederik Vanhoutte
- Ghent University Hospital and Ghent University, Department of radiation oncology, Ghent, Belgium
| | - Pierre Scalliet
- Center of Molecular Imaging, Radiotherapy and Oncology (MIRO), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Brussels, Belgium
| | - Vincent Remouchamps
- CHU-UCL Namur - site Saint Elisabeth, Department of radiation oncology, Namur, Belgium
| | - Yolande Lievens
- Ghent University Hospital and Ghent University, Department of radiation oncology, Ghent, Belgium
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Robin G, Brown E, Davis CA, Bird L, Wilson L, Halperin R, Brundage M, Croke J, Harper C, Giuliani M, Caissie A. Patient Engagement: an Assessment of Canadian Radiotherapy Programs' Current Practices, Perceived Barriers, and Facilitators. JOURNAL OF CANCER EDUCATION : THE OFFICIAL JOURNAL OF THE AMERICAN ASSOCIATION FOR CANCER EDUCATION 2022; 37:1834-1841. [PMID: 34518991 DOI: 10.1007/s13187-021-02049-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/01/2021] [Indexed: 06/13/2023]
Abstract
Patient engagement and education have been mandated across Canadian radiation oncology programs (ROP). Guidance documents include the 2014 Canadian Association of Radiation Oncology (CARO) Radiation Therapy Patient Charter, the 2016 Canadian Partnership for Quality Radiotherapy (CPQR) Patient Engagement Guidelines (PEG) for Canadian Radiation Treatment Programs, and Accreditation Canada's 2017 refresh of Cancer Care Standards. Since little is known regarding uptake of these guidance statements, Canadian ROP were surveyed to assess current patient engagement and education practices. An e-survey was sent to Canadian ROP (n = 44). The survey focused on awareness and uptake of the CARO Patient Charter, CPQR PEG, and patient education practices. Survey development was guided by these documents and expert consensus, including CARO's Quality and Standards Patient Education/Engagement working group. Many (71%) responding ROP were familiar with the CARO Patient Charter, while 24% reported use. More than half (53%) of ROP were aware of the CPQR PEG, but approximately third (37%) had previously completed a self-audit. Most (88%) ROP view a pan-Canadian, evidence-based approach to educational materials beneficial and feasible (80%), with the majority (89%) willing to share their best practices across the radiotherapy community. Patient engagement and education are nationally mandated and supported by guidance documents. However, gaps have been identified across ROP for awareness and use of available tools, as well as uptake of their processes critical to quality of care. Understanding current practices will inform CPQR/CARO-supported pan-Canadian initiatives to optimize uptake, including development of CPQR Patient Education Guidance for Canadian Radiation Treatment Programs.
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Affiliation(s)
- Gabrielle Robin
- Dalhousie University, Halifax, NB & NS, Canada.
- CARO Quality and Standards Working Group, Markham, ON, Canada.
| | - Erika Brown
- CARO Quality and Standards Working Group, Markham, ON, Canada
- Canadian Partnership for Quality Radiotherapy, Halifax, Canada
| | - Carol-Anne Davis
- Dalhousie University, Halifax, NB & NS, Canada
- CARO Quality and Standards Working Group, Markham, ON, Canada
- Canadian Partnership for Quality Radiotherapy, Halifax, Canada
| | - Louise Bird
- CARO Quality and Standards Working Group, Markham, ON, Canada
- Canadian Partnership for Quality Radiotherapy, Halifax, Canada
| | - Lianne Wilson
- CARO Quality and Standards Working Group, Markham, ON, Canada
- Canadian Partnership for Quality Radiotherapy, Halifax, Canada
| | - Ross Halperin
- CARO Quality and Standards Working Group, Markham, ON, Canada
- BC Cancer Agency, Vancouver, BC, Canada
| | - Michael Brundage
- CARO Quality and Standards Working Group, Markham, ON, Canada
- Canadian Partnership for Quality Radiotherapy, Halifax, Canada
- Cancer Care and Epidemiology, Queen's Cancer Research Institute, Kingston, ON, Canada
| | - Jennifer Croke
- CARO Quality and Standards Working Group, Markham, ON, Canada
- Radiation Medicine Program, Princess Margaret Cancer Center, Toronto, ON, Canada
| | - Cody Harper
- Dalhousie University, Halifax, NB & NS, Canada
- CARO Quality and Standards Working Group, Markham, ON, Canada
| | - Meredith Giuliani
- CARO Quality and Standards Working Group, Markham, ON, Canada
- Radiation Medicine Program, Princess Margaret Cancer Center, Toronto, ON, Canada
| | - Amanda Caissie
- Dalhousie University, Halifax, NB & NS, Canada
- CARO Quality and Standards Working Group, Markham, ON, Canada
- Canadian Partnership for Quality Radiotherapy, Halifax, Canada
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Striving to Fill in Gaps between Clinical Practice and Standards: The Evolution of a Pan-Canadian Approach to Patient-Reported Outcomes Use. Curr Oncol 2022; 29:3698-3707. [PMID: 35621686 PMCID: PMC9140091 DOI: 10.3390/curroncol29050296] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/26/2022] [Accepted: 05/12/2022] [Indexed: 11/17/2022] Open
Abstract
Despite the known importance and necessity of the standardized collection and use of patient-reported outcomes (PROs), there remain challenges to successful clinical implementation. Facilitated through a quality improvement initiative spearheaded by the Canadian Partnership for Quality Radiotherapy (CPQR), and now guided by the Canadian Association of Radiation Oncology (CARO)’s Quality and Standards Committee, patient representatives and early-adopter radiation treatment programs continue to champion the expansion of PROs initiatives across the country. The current review discusses the evolution of a pan-Canadian approach to PROs use, striving to fill in gaps between clinical practice and guideline recommendations through multi-centre and multidisciplinary collaboration.
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8
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Yan L, Nichol A, Olson R. Validation of the BC-Brain Patient-Reported Outcome Questionnaire for Patients with Central Nervous System Tumours Treated with Radiotherapy. Curr Oncol 2022; 29:2798-2807. [PMID: 35448202 PMCID: PMC9032610 DOI: 10.3390/curroncol29040228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/11/2022] [Accepted: 04/13/2022] [Indexed: 11/27/2022] Open
Abstract
The BC-brain questionnaire was developed by BC Cancer to detect health problems in patients with central nervous system (CNS) tumours in routine clinical care, treated with radiotherapy (RT), as part of the Prospective Outcomes and Support Initiative (POSI). This study aimed to present and validate the BC-brain questionnaire in patients with brain metastases (BrM) treated with RT. The BC-brain questionnaire was constructed with three subscales: mobility, thinking and CNS symptoms. Patients with BrM from five BC Cancer centres completed this questionnaire at first visit and subsequent follow-up appointments. A total of 365 patients finished the first and 105 finished the follow-up questionnaire. Summary scores of each subscale were calculated. Mobility, thinking and subtotal score showed good reliability with Cronbach’s α > 0.7. Multitrait scaling analysis showed good convergent and divergent validity. The correlations between subscales ranged from 0.262 to 0.456 for baseline and from 0.378 to 0.597 for follow-up. Patients on dexamethasone had worse performance. Patients with a KPS of </=70 had worse performance than patients with a KPS of >70. In general, this BC-brain questionnaire has good reliability and validity, and is proper to use as an option for a patient-reported outcome (PRO) instrument to measure the quality of life in BrM patients treated with RT.
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Affiliation(s)
- Ling Yan
- BC Cancer-Prince George, Prince George, BC V2M 7E9, Canada;
- School of Population and Public Health, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - Alan Nichol
- BC Cancer-Vancouver, Vancouver, BC V5Z 4E6, Canada;
- Department of Surgery, University of British Columbia, Vancouver, BC V5Z 1M9, Canada
| | - Robert Olson
- BC Cancer-Prince George, Prince George, BC V2M 7E9, Canada;
- Department of Surgery, University of British Columbia, Vancouver, BC V5Z 1M9, Canada
- Correspondence:
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Dossun C, Popescu BV, Antoni D. [Evaluation of quality of life: Clinical relevance for patient]. Cancer Radiother 2021; 25:576-583. [PMID: 34284968 DOI: 10.1016/j.canrad.2021.06.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 06/20/2021] [Indexed: 10/20/2022]
Abstract
The quality of life of patients and its evaluation remains one of the primordial objectives in oncology. Different methods and tools of evaluation of quality of life have been developed with the objective of having a global evaluation, throughout different aspects, be it physical, emotional, psychological or social. The quality of life questionnaires improve and simplify the reevaluation and follow-up of patients during clinical trials. Patient reported outcome measures (PROMs) are an evaluation of the quality of life as experienced by the patients (patient-reported-outcomes [PROs]) and allow for physicians a personalized treatment approach. In radiotherapy, PROMs are a useful tool for the follow-up of patients during or after treatment. The technological advances, notably in data collecting, but also in their integration and treatment with regard to artificial intelligence will allow integrating these evaluation tools in the management of patients in oncology.
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Affiliation(s)
- C Dossun
- Service de radiothérapie, Institut de cancérologie Strasbourg Europe (ICANS), 17, rue AlbertCalmette, 67200 Strasbourg cedex, France
| | - B V Popescu
- Service de radiothérapie, Institut de cancérologie Strasbourg Europe (ICANS), 17, rue AlbertCalmette, 67200 Strasbourg cedex, France
| | - D Antoni
- Service de radiothérapie, Institut de cancérologie Strasbourg Europe (ICANS), 17, rue AlbertCalmette, 67200 Strasbourg cedex, France.
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Mayo C. Community science and reaching the promise of big data in health care. Med Phys 2018; 45:e790-e792. [PMID: 30307633 DOI: 10.1002/mp.13140] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 08/15/2018] [Accepted: 08/16/2018] [Indexed: 11/10/2022] Open
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