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Objective: Patients with relapsed ovarian cancer are offered multiple treatment options. To match treatment with the individual patient's life situation and preferences, healthcare professionals can apply shared decision making (SDM) including patient decision aids (PtDAs).This study aimed to evaluate the implementation of two different PtDAs in consultations with patients suffering from relapsed ovarian cancer.
Methods: We analyzed the following data before and after implementation of the PtDAs: 1) observed SDM using the OPTION instrument, 2) physician treatment recommendations, and 3) patients' and physicians' evaluations of SDM in consultations using the CollaboRATE, SDM-Q-9, and SDM-Q-Doc.
Results: Significant improvement in observed SDM was found after the implementation ( = 0.002). Improvement of SDM was detected in consultations conducted by physicians reporting more than two hours of SDM-training ( < 0.001), but not when physicians reported less than two hours of SDM-training.No before/after differences in treatment recommendations and in patients' and physicians' evaluations were found.
Conclusion: Implementation of PtDAs improved the level of observed SDM. Training of physicians in SDM is necessary for improved SDM practice.
Innovation: Discussing oncological treatment options with the use of PtDAs is not standard practice in Denmark. The present study is one of the first Danish studies focusing on how to implement SDM and PtDAs in oncological consultations.
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http://dx.doi.org/10.1016/j.pecinn.2022.100095 | DOI Listing |
Semin Arthritis Rheum
June 2025
Arthritis Research Canada, Vancouver, British Columbia, Canada; Departments of Medicine and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Background: Interest in standardizing descriptions of health outcomes is increasing. In a Health Outcome Descriptor (HOD), outcomes are systematically described covering four domains: Symptoms, Time horizon, Testing and Treatment, and Consequences. Given the lack of HODs for Rheumatoid Arthritis (RA), the aim of this study was to review published RA outcome descriptions and map them to the HOD framework.
View Article and Find Full Text PDFBMJ Open
April 2025
Department of Nursing, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
Introduction: Total hip arthroplasty (THA) and total knee arthroplasty (TKA) are effective methods carried out widely in patients with end-stage hip and knee osteoarthritis (OA). Despite the trend towards shared decision-making in surgical decisions, patients often struggle to fully participate due to a lack of informational support. Patient decision aids (PtDAs) which provide evidence-based sources of health information can address this issue and facilitate shared decision-making.
View Article and Find Full Text PDFHealth Expect
October 2024
Department of Community, Maternity and Pediatric Nursing, Campus Universitario, University of Navarra, School of Nursing, Pamplona, Spain.
Eur Urol Oncol
April 2025
Department of Urology, St. Antonius Hospital, Nieuwegein, The Netherlands.
The aim of the SDM-RCC study is to evaluate the impact of a comprehensive shared decision-making (SDM) intervention for patients with renal cell carcinoma (RCC) on the decision-making process and outcomes. The intervention includes online patient decision aids (PtDAs) and training of health care professionals (HCPs) in the use of PtDAs and SDM. The study is a multicenter, prospective pretest-posttest cohort in six Dutch hospitals, focusing on patients with localized or metastatic RCC.
View Article and Find Full Text PDFPharmacoecon Open
November 2024
Centre for Research on Health and Social Care Management (CERGAS), SDA Bocconi School of Management, Milan, Italy.
Background: Shared decision-making (SDM) plays a crucial role in breast cancer care by empowering patients and reducing decision regret. Patient decision aids (PtDAs) are valuable tools for facilitating SDM, now available in digital and artificial intelligence (AI)-powered formats to offer increasingly personalized contents. The ongoing CINDERELLA clinical trial (ClinicalTrials.
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