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Updated: Jul 26, 2025

05:05
Generating a Murine Orthotopic Metastatic Breast Cancer Model and Performing Murine Radical Mastectomy
Published on: November 29, 2018
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Technology-based supportive care for metastatic breast cancer patients
Kathryn H Schmitz1, Beth Kanski2, Brett Gordon2
1Division of Hematology and Oncology, University of Pittsburgh, Pittsburgh, PA, USA. schmitzk@upmc.edu.
Summary
A virtual assistant using Amazon Alexa showed high patient satisfaction and feasibility for managing metastatic breast cancer symptoms. Further research is warranted despite no significant improvements in symptoms or quality of life.
Area of Science:
- Oncology
- Digital Health
- Patient-Reported Outcomes
Background:
- Metastatic breast cancer (MBC) patients are living longer, increasing the need for effective symptom management.
- Technology-based interventions offer potential solutions for addressing the symptom burden in MBC.
- Virtual assistants may provide a novel approach to support patients with metastatic breast cancer.
Purpose of the Study:
- To evaluate the efficacy of a virtual assistant, Nurse AMIE (Addressing Metastatic Individuals Everyday), on symptom management in MBC patients.
- To assess the feasibility, usability, and satisfaction of using the Amazon Echo Show with Alexa for MBC symptom management.
- To determine the impact of the virtual assistant on psychosocial distress, pain, sleep, fatigue, quality of life, and physical function.
Main Methods:
- A partial crossover randomized trial involving 42 MBC patients was conducted over 6 months.
- Participants were randomized to receive immediate or delayed (3-month delay) intervention with Nurse AMIE.
- Data on symptoms, function, feasibility, usability, and satisfaction were collected at baseline and 3 months.
Main Results:
- No significant improvements were observed in psychosocial distress, pain, sleep disturbance, fatigue, quality of life, or chair stand tests.
- Despite the lack of significant clinical effects, high levels of acceptability (51%), feasibility (65%), and satisfaction (70%) were reported.
- Participants were 53 ± 11 years old, with an average of 4 ± 7 years since diagnosis of metastatic disease.
Conclusions:
- The high acceptability, feasibility, and satisfaction suggest the virtual assistant platform warrants further investigation.
- The absence of statistically significant effects may be attributed to the small sample size.
- Future research should explore larger cohorts to validate the potential of this technology in MBC symptom management.
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