Background: The Symptom Assessment and Management (SAM) program is a structured, online, nurse-supported intervention to support symptom self-management in people receiving adjuvant chemotherapy post surgery for breast or colorectal cancer.
Objective: The objective of this study was to describe the development, implementation strategy, and evaluation of the SAM system.
Methods: The development of the SAM program involved 3 phases. In phase 1, the web app was developed through consultation with consumers and clinicians and of the literature to ensure that the system was evidence-based and reflected the realities of receiving treatment and supporting patients through treatment. In phase 2, 7 participants recorded the severity of 6 symptoms daily over the course of 1 cycle of chemotherapy. In phase 3, 17 participants recorded their symptoms daily over the course of 3 cycles of chemotherapy. Once symptoms were recorded, participants received immediate feedback on the severity of their symptoms and self-management recommendations, which could include seeking immediate medical attention. Data on quality of life, symptom burden, anxiety and depression, distress, and self-efficacy were collected during treatment; participants' perceptions of the SAM program were evaluated following participation via interview.
Results: The outcomes of the SAM project include the development of a system that is reliable and easy to use and navigate. Participants reported benefits related to using the SAM program that included feeling more in control of managing their symptoms and feeling reassured. Engagement with the system on a daily basis was variable, with some participants completing the symptom tracker daily and others engaging some of the time. The feedback from all participants was that the system was easy to navigate and the information was relevant and supportive.
Conclusions: The SAM program has the potential to enhance the management of symptoms for people receiving chemotherapy treatment. The system creates an accurate repository of symptoms that can be accessed easily and highlight patterns in symptom experience. These can be shared with clinicians, with patient permission, to inform and support treatment plans. The potential to predict the risk of developing severe symptoms can be developed to anticipate the need for care and support. Further considerations on how to increase engagement with the system, the value of the system for people diagnosed with other tumor types and treatment regimes, and the incorporation of the system into everyday clinical practice are needed.
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http://dx.doi.org/10.2196/22825 | DOI Listing |
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Nutrition Program, Department of Nutrition and Food Science, School of Arts and Sciences, Lebanese American University, Chouran Beirut, P.O. Box 13-5053, Beirut 1102 2801, Lebanon.
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January 2025
Department of Neurology, Faculty of Medicine, Universitas Indonesia/ Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia.
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Postgraduate School of Public Health, Universitas Muhammadiyah Aceh, Banda Aceh, Indonesia.
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View Article and Find Full Text PDFJACC Adv
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American College of Cardiology, Washington, DC, USA.
A total of 9 million veterans receive care in a unique healthcare system, the Veterans Healthcare Administration (VHA), with nearly 50% reporting at least one cardiovascular disease. Despite evidence for high quality of health care in the VHA, more veteran care is being moved to the non-VHA community. An assumption of this shift in care is that the quality of non-VHA care is at least comparable to VHA care.
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