Background: In relation to the general Canadian population, Inuit face increased cancer risks and barriers to health services use. In shared decision-making (sdm), health care providers and patients make health care decisions together. Enhanced participation in cancer care decisions is a need for Inuit. Integrated knowledge translation (kt) supports the development of research evidence that is likely to be patient-centred and applied in practice.
Objective: Using an integrated kt approach, we set out to promote the use of sdm by Inuit in cancer care.
Methods: An integrated kt study involving researchers with a Steering Committee of cancer care system partners who support Inuit in cancer care ("the team") consisted of 2 theory-driven phases:■ using consensus-building methods to tailor a previously developed sdm strategy and developing training in the sdm strategy; and■ training community support workers (csws) in the sdm strategy and testing the sdm strategy with community members.
Results: The team developed a sdm strategy that included a workshop and a booklet with 6 questions for use by csws with patients. The sdm strategy (training and booklet) was finalized based on feedback from 5 urban-based Inuit csws who were recruited and trained in using the strategy. Trained csws were matched with 8 community members, and use of the sdm strategy was assessed during interviews, reported as 6 themes. Participants found the sdm strategy to be useful and feasible for use.
Conclusions: An integrated kt approach of structured research processes with partners developed a sdm strategy for use by Inuit in cancer care. Further work is needed to test the sdm strategy.
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http://dx.doi.org/10.3747/co.26.4729 | DOI Listing |
BMJ Open Qual
January 2025
Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Background: Attending to patient-reported outcomes (PROs) using data visualisation dashboards could enhance shared decision-making (SDM) and care delivery for serious chronic illnesses. However, few studies have evaluated real-world strategies and resulting implementation outcomes of PRO dashboards.
Method: From June 2020 to January 2022, we implemented an electronic health record (EHR)-integrated PRO dashboard for advanced cancer and chronic kidney disease.
J Med Econ
December 2025
UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy.
Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.
Methods: Articles were searched in PubMed, Web of Science, and Scopus from the inception of the study to 15 November 2023.
Sci Rep
January 2025
School of Spatial Planning and Design, Hangzhou City University, Hangzhou, 310015, China.
Analysis of the spatiotemporal trends of urban scale and urban vitality on ecosystem services balance provides an essential basis for regional sustainable development. This study employs the Spatial Durbin Model (SDM), Spatial Autoregressive Model (SAR), and Geographically and Temporally Weighted Regression (GTWR) to effectively capture spatiotemporal associations between urban scale, urban vitality, and ecosystem services supply-demand balance, providing a detailed view of regional variations. The integrated framework combines spatiotemporal analysis, predictive scenario simulation, and importance-performance analysis to quantify and strategize urban impacts on ESs.
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Civil and Environmental Engineering, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul 136-702, Republic of Korea.
To overcome the limitations of traditional Reverse Osmosis (RO) desalination, Membrane Distillation (MD) has gained attention as an effective solution for improving the treatment of seawater and RO brine. Despite its potential, the formation of inorganic scales, particularly calcium sulfate (CaSO), continues to pose a major challenge. This research aims to explore the scaling mechanisms in MD systems through a combination of experimental analysis and dynamic modeling.
View Article and Find Full Text PDFPopul Health Manag
December 2024
Division of Population Science, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Lung cancer screening (LCS) rates are low, and lung cancer mortality is high in the United States. This report describes a strategy that health systems can use to identify LCS areas of need and engage associated primary care providers and patients in screening. A research team from Jefferson Health (JH), a large, urban health system, used geocoded standardized lung cancer mortality rates (SMRs) to identify zip codes in Philadelphia where lung cancer mortality is high.
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