Background: Patients with multiple myeloma (MM) have high information needs due to the complexity of the disease and variety of treatments. Digital voice assistants provide support in daily life and can be a convenient tool that even older patients can use to access health information. Voice assistants may therefore be useful in providing digital health services to meet the information needs of patients with MM.
Objective: We aim to describe and report on the development, content, and functionality of the first Amazon Alexa voice assistant skill for patients with MM in Germany with the goal of empowering and educating patients. Further, we share data on skill usage and first learnings.
Methods: In a cocreation workshop with MM patient organizations and MM medical experts in Germany, Takeda Oncology discussed the development and content of the Alexa skill Multiple Myeloma. Patient information on MM disease, diagnostics, and therapy was presented in a question-and-answer format, reviewed by experts, and programmed into the skill. Additionally, a search function for finding patient support groups within a perimeter of 200 km around the users and a myeloma quiz functionality with multiple-choice questions were integrated into the skill. Aggregated retrospective data on the total number of skill installations and skill usage were retrieved from an Amazon Alexa developer account, and a web-based patient survey was conducted on the Takeda Oncology website.
Results: The Alexa skill Multiple Myeloma was launched in September 2019. It was available free of charge on the German Amazon Alexa skill store between September 2019 and March 2022 and could be used with devices featuring the Amazon Alexa voice assistant. Since the launch in September 2019 and up to July 2021, a total of 141 users have installed the skill. Between July 2020 and July 2021, a total of 189 skill sessions with 797 utterances were analyzed. The most popular inquiries were searches for patient support groups near the users (58/797, 7.3%), followed by inquiries about information on MM disease (53/797, 6.6%) and the quiz (43/797, 5.4%). The web-based survey on voice assistant usage and the feedback on the Alexa skill Multiple Myeloma were collected from 24 participants and showed that 46% (11/24) of participants would recommend the Alexa skill. Nonusers of voice assistants (11/24, 46%) stated that data protection concerns (7/11, 64%) and a lack of need (6/11, 55%) were the most important factors of not using voice assistants.
Conclusions: The Alexa skill Multiple Myeloma offers patient-friendly and expert-reviewed answers and explanations for medical terms related to MM disease, diagnostics, and therapy, as well as connections to patient support groups and a quiz functionality. In the future, the skill can be extended with new content and functionalities, such as medication adherence support.
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http://dx.doi.org/10.2196/35500 | DOI Listing |
Cancer Cell Int
January 2025
Department of Laboratory Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
Background: The prognosis of a plasma cell neoplasm (PCN) varies depending on the presence of genetic abnormalities. However, detecting sensitive genetic mutations poses challenges due to the heterogeneous nature of the cell population in bone marrow aspiration. The established gold standard for cell sorting is fluorescence-activated cell sorting (FACS), which is associated with lengthy processing times, substantial cell quantities, and expensive equipment.
View Article and Find Full Text PDFClin Lymphoma Myeloma Leuk
December 2024
Department of Hematology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Background: High dose chemotherapy and autologous stem cell transplantation (HDT/ASCT) remains the preferred first line consolidation strategy for newly diagnosed multiple myeloma (MM). However, The role of HDT/ASCT in first relapse is uncertain in the context of novel therapies. This study evaluates real-world outcomes of MM patients in first relapse, focusing on the role of consolidative HDT/ASCT.
View Article and Find Full Text PDFComput Biol Chem
January 2025
Drug Discovery and Development Laboratory (DDD Lab), Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India. Electronic address:
Multiple myeloma (MM) is the second most frequently diagnosed hematological malignancy, presenting limited treatment options with no curative potential and significant drug resistance. Recent studies involving genetic knockdown established the crucial role of GRK6 in upholding the viability of MM cells, emphasizing the need to identify potential inhibitors. Computational exploration of GRK6 inhibitors has not been attempted previously.
View Article and Find Full Text PDFEur J Med Chem
December 2024
SynBioC Research Group, Department of Green Chemistry and Technology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium; Cancer Research Institute Ghent (CRIG), Ghent, Belgium. Electronic address:
Histone deacetylase 6 (HDAC6) is a promising target for treating neurodegenerative disorders, several cancer types and viral infections. Unique among HDACs, the HDAC6 isoform possesses a zinc finger ubiquitin-binding domain (UBD) crucial for managing misfolded protein aggregates and facilitating viral infection. HDAC6 binds aggregated polyubiquitinated proteins through its UBD, mediating their transport to the aggresome and subsequent removal via autophagy.
View Article and Find Full Text PDFThromb Res
January 2025
Clinical Investigation Center CIC-EC 1408, University Hospital of Saint-Etienne, France; SAINBIOSE, UMR 1059, INSERM, Jean Monnet University, Saint-Etienne, France; Division of Clinical Hematology, University Hospital of Saint-Etienne, France. Electronic address:
Background: Candidate biomarkers to improve venous thromboembolism (VTE) risk prediction in patients with newly diagnosed multiple myeloma (MM) undergoing anti-myeloma therapy include tissue factor-bearing microvesicles (MV-TF), procoagulant phospholipids (procoag-PPL), and D-dimer.
Objective: We aimed to determine the levels of MV-TF, procoag-PPL, and D-dimer at baseline and during initial anti-myeloma therapy and their association with the risk of VTE.
Methods: This prospective, longitudinal, observational study included 71 patients with newly diagnosed MM who were eligible for anti-myeloma therapy.
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