Women with metastatic breast cancer don't just follow step-count trends, they exceed them: an exploratory study
Purpose Metastatic breast cancer (MBC) patients are living longer at the cost of several side effects, affecting their physical and mental health. Physical activity can help women with MBC to improve their wellbeing. Technology-based exercise interventions have shown promising outcomes; however, stu...
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| Veröffentlicht in: | Breast cancer research and treatment 2023-07, Vol.200 (2), p.265-270 |
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| creator | Caru, Maxime Abdullah, Saeed Qiu, Ling Kanski, Bethany Gordon, Brett Truica, Cristina I. Vasakar, Monali Doerksen, Shawna Schmitz, Kathryn H. |
| description | Purpose
Metastatic breast cancer (MBC) patients are living longer at the cost of several side effects, affecting their physical and mental health. Physical activity can help women with MBC to improve their wellbeing. Technology-based exercise interventions have shown promising outcomes; however, studies that document their benefits on health behaviors are lacking. Therefore, we aimed to document the impact of virtual assistant technology on enhancing daily step counts in women with MBC.
Methods
A total of 38 women with MBC participated in the 90-day Nurse AMIE (Addressing Metastatic Individuals Everyday) for Amazon Echo Show study, an artificial intelligence-based supportive care intervention. Each day, Nurse AMIE asked four symptom questions (sleep, pain, fatigue, and distress) and daily step counts. Based on participants' answers, an algorithm provided an activity to assist with symptom management.
Results
During the first week of the intervention, mean step counts per day were 4935 ± 2884, and during the last week of the intervention, mean step counts per day were 1044 steps higher, for an average of 5979 ± 2651 steps. Non-significant differences were observed between the first and last week (
p
= 0.211) and between the first and last day (
p
= 0.099), despite an improvement of 21.2% over time and significant differences between baseline and the other days.
Conclusion
Women with MBC benefited from the Nurse AMIE for Amazon Echo Show intervention. Despite improvements over time (> 20%), we cannot conclude that the intervention significantly enhanced participants' daily step counts. Larger studies using virtual assistant technologies are required, and this study should be considered a first step in this direction. |
| doi_str_mv | 10.1007/s10549-023-06980-6 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2819275846</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2819275846</sourcerecordid><originalsourceid>FETCH-LOGICAL-c419t-e0c8cc36283fec3a9bbbeae3db42f7f36b552145389d8424fac480744d4c51363</originalsourceid><addsrcrecordid>eNp9kU-LFDEQxYMo7uzqF_AgAQ96sLXyP-1NFleFBS-Kx5BOV7szdCdjkmadb2_GWRU8eMpL6levQj1CnjB4xQDM68JAyb4DLjrQvYVO3yMbpozoDGfmPtkA06bTFvQZOS9lBwC9gf4hOROGc6MZbEj6mhaM9HZbb-iC1Zfq6zbQIWOTNPgYMNMxxeeV7tb2MqV5Tre0VNx3Ia2x0poxjuUlrTd4oPgjII5HvbyhPrb7fk7Z15QPrWcdD4_Ig8nPBR_fnRfky9W7z5cfuutP7z9evr3ugmR97RCCDUFobsWEQfh-GAb0KMZB8slMQg9KcSaVsP1oJZeTD9KCkXKUQTGhxQV5cfLd5_R9xVLdsi0B59lHTGtx3LKeG2XlEX32D7pLa47td43iXCljABrFT1TIqZSMk9vn7eLzwTFwxzjcKQ7X4nC_4nBH66d31uuw4Pin5ff-GyBOQGml-A3z39n_sf0Jc4CWPQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2822557700</pqid></control><display><type>article</type><title>Women with metastatic breast cancer don't just follow step-count trends, they exceed them: an exploratory study</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Caru, Maxime ; Abdullah, Saeed ; Qiu, Ling ; Kanski, Bethany ; Gordon, Brett ; Truica, Cristina I. ; Vasakar, Monali ; Doerksen, Shawna ; Schmitz, Kathryn H.</creator><creatorcontrib>Caru, Maxime ; Abdullah, Saeed ; Qiu, Ling ; Kanski, Bethany ; Gordon, Brett ; Truica, Cristina I. ; Vasakar, Monali ; Doerksen, Shawna ; Schmitz, Kathryn H.</creatorcontrib><description>Purpose
Metastatic breast cancer (MBC) patients are living longer at the cost of several side effects, affecting their physical and mental health. Physical activity can help women with MBC to improve their wellbeing. Technology-based exercise interventions have shown promising outcomes; however, studies that document their benefits on health behaviors are lacking. Therefore, we aimed to document the impact of virtual assistant technology on enhancing daily step counts in women with MBC.
Methods
A total of 38 women with MBC participated in the 90-day Nurse AMIE (Addressing Metastatic Individuals Everyday) for Amazon Echo Show study, an artificial intelligence-based supportive care intervention. Each day, Nurse AMIE asked four symptom questions (sleep, pain, fatigue, and distress) and daily step counts. Based on participants' answers, an algorithm provided an activity to assist with symptom management.
Results
During the first week of the intervention, mean step counts per day were 4935 ± 2884, and during the last week of the intervention, mean step counts per day were 1044 steps higher, for an average of 5979 ± 2651 steps. Non-significant differences were observed between the first and last week (
p
= 0.211) and between the first and last day (
p
= 0.099), despite an improvement of 21.2% over time and significant differences between baseline and the other days.
Conclusion
Women with MBC benefited from the Nurse AMIE for Amazon Echo Show intervention. Despite improvements over time (> 20%), we cannot conclude that the intervention significantly enhanced participants' daily step counts. Larger studies using virtual assistant technologies are required, and this study should be considered a first step in this direction.</description><identifier>ISSN: 0167-6806</identifier><identifier>ISSN: 1573-7217</identifier><identifier>EISSN: 1573-7217</identifier><identifier>DOI: 10.1007/s10549-023-06980-6</identifier><identifier>PMID: 37227610</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Artificial Intelligence ; Breast cancer ; Breast Neoplasms - therapy ; Brief Communication ; Cancer research ; Exercise ; Exercise Therapy ; Female ; Health Behavior ; Humans ; Intervention ; Medicine ; Medicine & Public Health ; Metastases ; Metastasis ; Oncology ; Physical activity ; Symptom management ; Womens health</subject><ispartof>Breast cancer research and treatment, 2023-07, Vol.200 (2), p.265-270</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023</rights><rights>2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c419t-e0c8cc36283fec3a9bbbeae3db42f7f36b552145389d8424fac480744d4c51363</citedby><cites>FETCH-LOGICAL-c419t-e0c8cc36283fec3a9bbbeae3db42f7f36b552145389d8424fac480744d4c51363</cites><orcidid>0000-0003-2904-9185</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10549-023-06980-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10549-023-06980-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37227610$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Caru, Maxime</creatorcontrib><creatorcontrib>Abdullah, Saeed</creatorcontrib><creatorcontrib>Qiu, Ling</creatorcontrib><creatorcontrib>Kanski, Bethany</creatorcontrib><creatorcontrib>Gordon, Brett</creatorcontrib><creatorcontrib>Truica, Cristina I.</creatorcontrib><creatorcontrib>Vasakar, Monali</creatorcontrib><creatorcontrib>Doerksen, Shawna</creatorcontrib><creatorcontrib>Schmitz, Kathryn H.</creatorcontrib><title>Women with metastatic breast cancer don't just follow step-count trends, they exceed them: an exploratory study</title><title>Breast cancer research and treatment</title><addtitle>Breast Cancer Res Treat</addtitle><addtitle>Breast Cancer Res Treat</addtitle><description>Purpose
Metastatic breast cancer (MBC) patients are living longer at the cost of several side effects, affecting their physical and mental health. Physical activity can help women with MBC to improve their wellbeing. Technology-based exercise interventions have shown promising outcomes; however, studies that document their benefits on health behaviors are lacking. Therefore, we aimed to document the impact of virtual assistant technology on enhancing daily step counts in women with MBC.
Methods
A total of 38 women with MBC participated in the 90-day Nurse AMIE (Addressing Metastatic Individuals Everyday) for Amazon Echo Show study, an artificial intelligence-based supportive care intervention. Each day, Nurse AMIE asked four symptom questions (sleep, pain, fatigue, and distress) and daily step counts. Based on participants' answers, an algorithm provided an activity to assist with symptom management.
Results
During the first week of the intervention, mean step counts per day were 4935 ± 2884, and during the last week of the intervention, mean step counts per day were 1044 steps higher, for an average of 5979 ± 2651 steps. Non-significant differences were observed between the first and last week (
p
= 0.211) and between the first and last day (
p
= 0.099), despite an improvement of 21.2% over time and significant differences between baseline and the other days.
Conclusion
Women with MBC benefited from the Nurse AMIE for Amazon Echo Show intervention. Despite improvements over time (> 20%), we cannot conclude that the intervention significantly enhanced participants' daily step counts. Larger studies using virtual assistant technologies are required, and this study should be considered a first step in this direction.</description><subject>Artificial Intelligence</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - therapy</subject><subject>Brief Communication</subject><subject>Cancer research</subject><subject>Exercise</subject><subject>Exercise Therapy</subject><subject>Female</subject><subject>Health Behavior</subject><subject>Humans</subject><subject>Intervention</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Oncology</subject><subject>Physical activity</subject><subject>Symptom management</subject><subject>Womens health</subject><issn>0167-6806</issn><issn>1573-7217</issn><issn>1573-7217</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kU-LFDEQxYMo7uzqF_AgAQ96sLXyP-1NFleFBS-Kx5BOV7szdCdjkmadb2_GWRU8eMpL6levQj1CnjB4xQDM68JAyb4DLjrQvYVO3yMbpozoDGfmPtkA06bTFvQZOS9lBwC9gf4hOROGc6MZbEj6mhaM9HZbb-iC1Zfq6zbQIWOTNPgYMNMxxeeV7tb2MqV5Tre0VNx3Ia2x0poxjuUlrTd4oPgjII5HvbyhPrb7fk7Z15QPrWcdD4_Ig8nPBR_fnRfky9W7z5cfuutP7z9evr3ugmR97RCCDUFobsWEQfh-GAb0KMZB8slMQg9KcSaVsP1oJZeTD9KCkXKUQTGhxQV5cfLd5_R9xVLdsi0B59lHTGtx3LKeG2XlEX32D7pLa47td43iXCljABrFT1TIqZSMk9vn7eLzwTFwxzjcKQ7X4nC_4nBH66d31uuw4Pin5ff-GyBOQGml-A3z39n_sf0Jc4CWPQ</recordid><startdate>20230701</startdate><enddate>20230701</enddate><creator>Caru, Maxime</creator><creator>Abdullah, Saeed</creator><creator>Qiu, Ling</creator><creator>Kanski, Bethany</creator><creator>Gordon, Brett</creator><creator>Truica, Cristina I.</creator><creator>Vasakar, Monali</creator><creator>Doerksen, Shawna</creator><creator>Schmitz, Kathryn H.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9-</scope><scope>K9.</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2904-9185</orcidid></search><sort><creationdate>20230701</creationdate><title>Women with metastatic breast cancer don't just follow step-count trends, they exceed them: an exploratory study</title><author>Caru, Maxime ; Abdullah, Saeed ; Qiu, Ling ; Kanski, Bethany ; Gordon, Brett ; Truica, Cristina I. ; Vasakar, Monali ; Doerksen, Shawna ; Schmitz, Kathryn H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419t-e0c8cc36283fec3a9bbbeae3db42f7f36b552145389d8424fac480744d4c51363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Artificial Intelligence</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - therapy</topic><topic>Brief Communication</topic><topic>Cancer research</topic><topic>Exercise</topic><topic>Exercise Therapy</topic><topic>Female</topic><topic>Health Behavior</topic><topic>Humans</topic><topic>Intervention</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Oncology</topic><topic>Physical activity</topic><topic>Symptom management</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Caru, Maxime</creatorcontrib><creatorcontrib>Abdullah, Saeed</creatorcontrib><creatorcontrib>Qiu, Ling</creatorcontrib><creatorcontrib>Kanski, Bethany</creatorcontrib><creatorcontrib>Gordon, Brett</creatorcontrib><creatorcontrib>Truica, Cristina I.</creatorcontrib><creatorcontrib>Vasakar, Monali</creatorcontrib><creatorcontrib>Doerksen, Shawna</creatorcontrib><creatorcontrib>Schmitz, Kathryn H.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Breast cancer research and treatment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Caru, Maxime</au><au>Abdullah, Saeed</au><au>Qiu, Ling</au><au>Kanski, Bethany</au><au>Gordon, Brett</au><au>Truica, Cristina I.</au><au>Vasakar, Monali</au><au>Doerksen, Shawna</au><au>Schmitz, Kathryn H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Women with metastatic breast cancer don't just follow step-count trends, they exceed them: an exploratory study</atitle><jtitle>Breast cancer research and treatment</jtitle><stitle>Breast Cancer Res Treat</stitle><addtitle>Breast Cancer Res Treat</addtitle><date>2023-07-01</date><risdate>2023</risdate><volume>200</volume><issue>2</issue><spage>265</spage><epage>270</epage><pages>265-270</pages><issn>0167-6806</issn><issn>1573-7217</issn><eissn>1573-7217</eissn><abstract>Purpose
Metastatic breast cancer (MBC) patients are living longer at the cost of several side effects, affecting their physical and mental health. Physical activity can help women with MBC to improve their wellbeing. Technology-based exercise interventions have shown promising outcomes; however, studies that document their benefits on health behaviors are lacking. Therefore, we aimed to document the impact of virtual assistant technology on enhancing daily step counts in women with MBC.
Methods
A total of 38 women with MBC participated in the 90-day Nurse AMIE (Addressing Metastatic Individuals Everyday) for Amazon Echo Show study, an artificial intelligence-based supportive care intervention. Each day, Nurse AMIE asked four symptom questions (sleep, pain, fatigue, and distress) and daily step counts. Based on participants' answers, an algorithm provided an activity to assist with symptom management.
Results
During the first week of the intervention, mean step counts per day were 4935 ± 2884, and during the last week of the intervention, mean step counts per day were 1044 steps higher, for an average of 5979 ± 2651 steps. Non-significant differences were observed between the first and last week (
p
= 0.211) and between the first and last day (
p
= 0.099), despite an improvement of 21.2% over time and significant differences between baseline and the other days.
Conclusion
Women with MBC benefited from the Nurse AMIE for Amazon Echo Show intervention. Despite improvements over time (> 20%), we cannot conclude that the intervention significantly enhanced participants' daily step counts. Larger studies using virtual assistant technologies are required, and this study should be considered a first step in this direction.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>37227610</pmid><doi>10.1007/s10549-023-06980-6</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0003-2904-9185</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Breast cancer research and treatment, 2023-07, Vol.200 (2), p.265-270 |
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| subjects | Artificial Intelligence Breast cancer Breast Neoplasms - therapy Brief Communication Cancer research Exercise Exercise Therapy Female Health Behavior Humans Intervention Medicine Medicine & Public Health Metastases Metastasis Oncology Physical activity Symptom management Womens health |
| title | Women with metastatic breast cancer don't just follow step-count trends, they exceed them: an exploratory study |
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