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Identifying Early Dehydration Risk With Home-Based Sensors During Radiation Treatment: A Feasibility Study on Patients With Head and Neck Cancer

Identifieur interne : 000445 ( Main/Exploration ); précédent : 000444; suivant : 000446

Identifying Early Dehydration Risk With Home-Based Sensors During Radiation Treatment: A Feasibility Study on Patients With Head and Neck Cancer

Auteurs : Susan K. Peterson [États-Unis] ; Eileen H. Shinn [États-Unis] ; Karen Basen-Engquist [États-Unis] ; Wendy Demark-Wahnefried [États-Unis] ; Alexander V. Prokhorov [États-Unis] ; Chaitanya Baru [États-Unis] ; Ingolf H. Krueger [États-Unis] ; Emilia Farcas [États-Unis] ; Philip Rios [États-Unis] ; Adam S. Garden [États-Unis] ; Beth M. Beadle [États-Unis] ; KAI LIN [États-Unis] ; YAN YAN [États-Unis] ; Stephanie L. Martch [États-Unis] ; Kevin Patrick [États-Unis]

Source :

RBID : Pascal:14-0044356

Descripteurs français

English descriptors

Abstract

Background Systems that enable remote monitoring of patients' symptoms and other health-related outcomes may optimize cancer care outside of the clinic setting. CYCORE (CYberinfrastructure for COmparative effectiveness REsearch) is a software-based prototype for a user-friendly cyberinfrastructure supporting the comprehensive collection and analyses of data from multiple domains using a suite of home-based and mobile sensors. This study evaluated the feasibility of using CYCORE to address early at-home identification of dehydration risk in head and neck cancer patients undergoing radiation therapy. Methods Head and neck cancer patients used home-based sensors to capture weight, blood pressure, pulse, and patient-reported outcomes for two 5-day periods during radiation therapy. Data were sent to the radiation oncologist of each head and neck cancer patient, who viewed them online via a Web-based interface. Feasibility outcomes included study completion rate, acceptability and perceived usefulness of the intervention, and adherence to the monitoring protocol. We also evaluated whether sensor data could identify dehydration-related events. Results Fifty patients consented to participate, and 48 (96%) completed the study. More than 90% of patients rated their ease, self-efficacy, and satisfaction regarding use of the sensor suite as extremely favorable, with minimal concerns expressed regarding data privacy issues. Patients highly valued the ability to have immediate access to objective, self-monitoring data related to personal risk for dehydration. Clinician assessments indicated a high degree of satisfaction with the ease of using the CYCORE system and the resulting ability to monitor their patients remotely. Conclusion Implementing CYCORE in a clinical oncology care setting is feasible and highly acceptable to both patients and providers.

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Links toward previous steps (curation, corpus...)


Le document en format XML

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<title xml:lang="en" level="a">Identifying Early Dehydration Risk With Home-Based Sensors During Radiation Treatment: A Feasibility Study on Patients With Head and Neck Cancer</title>
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<name sortKey="Peterson, Susan K" sort="Peterson, Susan K" uniqKey="Peterson S" first="Susan K." last="Peterson">Susan K. Peterson</name>
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<name sortKey="Shinn, Eileen H" sort="Shinn, Eileen H" uniqKey="Shinn E" first="Eileen H." last="Shinn">Eileen H. Shinn</name>
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<name sortKey="Martch, Stephanie L" sort="Martch, Stephanie L" uniqKey="Martch S" first="Stephanie L." last="Martch">Stephanie L. Martch</name>
<affiliation wicri:level="2">
<inist:fA14 i1="01">
<s1>Department of Behavioral Science, University of Texas MD Anderson Cancer Center</s1>
<s2>Houston, TX</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>14 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName>
<region type="state">Texas</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Patrick, Kevin" sort="Patrick, Kevin" uniqKey="Patrick K" first="Kevin" last="Patrick">Kevin Patrick</name>
<affiliation wicri:level="2">
<inist:fA14 i1="06">
<s1>California Institute for Telecommunications and Technology (Calit2), University of California-San Diego</s1>
<s2>La Jolla, CA</s2>
<s3>USA</s3>
<sZ>9 aut.</sZ>
<sZ>15 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName>
<region type="state">Californie</region>
</placeName>
</affiliation>
<affiliation wicri:level="2">
<inist:fA14 i1="07">
<s1>Center for Wireless and Population Health Systems, University of California-San Diego</s1>
<s2>La Jolla, CA</s2>
<s3>USA</s3>
<sZ>15 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName>
<region type="state">Californie</region>
</placeName>
</affiliation>
</author>
</analytic>
<series>
<title level="j" type="main">Journal of the National Cancer Institute. Monographs</title>
<title level="j" type="abbreviated">J. Natl. Cancer Inst., Monogr.</title>
<idno type="ISSN">1052-6773</idno>
<imprint>
<date when="2013">2013</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt>
<title level="j" type="main">Journal of the National Cancer Institute. Monographs</title>
<title level="j" type="abbreviated">J. Natl. Cancer Inst., Monogr.</title>
<idno type="ISSN">1052-6773</idno>
</seriesStmt>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>At home</term>
<term>Cancerology</term>
<term>Computers, Handheld</term>
<term>Dehydration</term>
<term>Dehydration (diagnosis)</term>
<term>Early</term>
<term>Feasibility</term>
<term>Feasibility Studies</term>
<term>Female</term>
<term>Head and Neck Neoplasms (radiotherapy)</term>
<term>Head and neck cancer</term>
<term>Human</term>
<term>Humans</term>
<term>Internet</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Radiotherapy</term>
<term>Remote Sensing Technology (instrumentation)</term>
<term>Remote Sensing Technology (methods)</term>
<term>Risk</term>
<term>Risk factor</term>
<term>Surveys and Questionnaires</term>
<term>Treatment</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnosis" xml:lang="en">
<term>Dehydration</term>
</keywords>
<keywords scheme="MESH" qualifier="instrumentation" xml:lang="en">
<term>Remote Sensing Technology</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en">
<term>Remote Sensing Technology</term>
</keywords>
<keywords scheme="MESH" qualifier="radiotherapy" xml:lang="en">
<term>Head and Neck Neoplasms</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Computers, Handheld</term>
<term>Feasibility Studies</term>
<term>Female</term>
<term>Humans</term>
<term>Internet</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Surveys and Questionnaires</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr">
<term>Radiothérapie</term>
<term>Précoce</term>
<term>Déshydratation</term>
<term>Cancer de la tête et du cou</term>
<term>Facteur risque</term>
<term>Risque</term>
<term>A domicile</term>
<term>Faisabilité</term>
<term>Homme</term>
<term>Cancérologie</term>
<term>Traitement</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr">
<term>Déshydratation</term>
<term>Homme</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">Background Systems that enable remote monitoring of patients' symptoms and other health-related outcomes may optimize cancer care outside of the clinic setting. CYCORE (CYberinfrastructure for COmparative effectiveness REsearch) is a software-based prototype for a user-friendly cyberinfrastructure supporting the comprehensive collection and analyses of data from multiple domains using a suite of home-based and mobile sensors. This study evaluated the feasibility of using CYCORE to address early at-home identification of dehydration risk in head and neck cancer patients undergoing radiation therapy. Methods Head and neck cancer patients used home-based sensors to capture weight, blood pressure, pulse, and patient-reported outcomes for two 5-day periods during radiation therapy. Data were sent to the radiation oncologist of each head and neck cancer patient, who viewed them online via a Web-based interface. Feasibility outcomes included study completion rate, acceptability and perceived usefulness of the intervention, and adherence to the monitoring protocol. We also evaluated whether sensor data could identify dehydration-related events. Results Fifty patients consented to participate, and 48 (96%) completed the study. More than 90% of patients rated their ease, self-efficacy, and satisfaction regarding use of the sensor suite as extremely favorable, with minimal concerns expressed regarding data privacy issues. Patients highly valued the ability to have immediate access to objective, self-monitoring data related to personal risk for dehydration. Clinician assessments indicated a high degree of satisfaction with the ease of using the CYCORE system and the resulting ability to monitor their patients remotely. Conclusion Implementing CYCORE in a clinical oncology care setting is feasible and highly acceptable to both patients and providers.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>États-Unis</li>
</country>
<region>
<li>Alabama</li>
<li>Californie</li>
<li>Texas</li>
</region>
</list>
<tree>
<country name="États-Unis">
<region name="Texas">
<name sortKey="Peterson, Susan K" sort="Peterson, Susan K" uniqKey="Peterson S" first="Susan K." last="Peterson">Susan K. Peterson</name>
</region>
<name sortKey="Baru, Chaitanya" sort="Baru, Chaitanya" uniqKey="Baru C" first="Chaitanya" last="Baru">Chaitanya Baru</name>
<name sortKey="Basen Engquist, Karen" sort="Basen Engquist, Karen" uniqKey="Basen Engquist K" first="Karen" last="Basen-Engquist">Karen Basen-Engquist</name>
<name sortKey="Beadle, Beth M" sort="Beadle, Beth M" uniqKey="Beadle B" first="Beth M." last="Beadle">Beth M. Beadle</name>
<name sortKey="Demark Wahnefried, Wendy" sort="Demark Wahnefried, Wendy" uniqKey="Demark Wahnefried W" first="Wendy" last="Demark-Wahnefried">Wendy Demark-Wahnefried</name>
<name sortKey="Farcas, Emilia" sort="Farcas, Emilia" uniqKey="Farcas E" first="Emilia" last="Farcas">Emilia Farcas</name>
<name sortKey="Garden, Adam S" sort="Garden, Adam S" uniqKey="Garden A" first="Adam S." last="Garden">Adam S. Garden</name>
<name sortKey="Kai Lin" sort="Kai Lin" uniqKey="Kai Lin" last="Kai Lin">KAI LIN</name>
<name sortKey="Krueger, Ingolf H" sort="Krueger, Ingolf H" uniqKey="Krueger I" first="Ingolf H." last="Krueger">Ingolf H. Krueger</name>
<name sortKey="Martch, Stephanie L" sort="Martch, Stephanie L" uniqKey="Martch S" first="Stephanie L." last="Martch">Stephanie L. Martch</name>
<name sortKey="Patrick, Kevin" sort="Patrick, Kevin" uniqKey="Patrick K" first="Kevin" last="Patrick">Kevin Patrick</name>
<name sortKey="Patrick, Kevin" sort="Patrick, Kevin" uniqKey="Patrick K" first="Kevin" last="Patrick">Kevin Patrick</name>
<name sortKey="Prokhorov, Alexander V" sort="Prokhorov, Alexander V" uniqKey="Prokhorov A" first="Alexander V." last="Prokhorov">Alexander V. Prokhorov</name>
<name sortKey="Rios, Philip" sort="Rios, Philip" uniqKey="Rios P" first="Philip" last="Rios">Philip Rios</name>
<name sortKey="Shinn, Eileen H" sort="Shinn, Eileen H" uniqKey="Shinn E" first="Eileen H." last="Shinn">Eileen H. Shinn</name>
<name sortKey="Yan Yan" sort="Yan Yan" uniqKey="Yan Yan" last="Yan Yan">YAN YAN</name>
</country>
</tree>
</affiliations>
</record>

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