Impact of monitoring technology in assisted living: outcome pilot
This paper describes a study designed to assess the acceptance and some psychosocial impacts of monitoring technology in assisted living. Monitoring systems were installed in 22 assisted living units to track the activities of daily living (ADLs) and key alert conditions of residents (15 of whom wer...
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| Veröffentlicht in: | IEEE journal of biomedical and health informatics 2006-01, Vol.10 (1), p.192-198 |
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| container_title | IEEE journal of biomedical and health informatics |
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| creator | Alwan, M. Dalal, S. Mack, D. Kell, S. Turner, B. Leachtenauer, J. Felder, R. |
| description | This paper describes a study designed to assess the acceptance and some psychosocial impacts of monitoring technology in assisted living. Monitoring systems were installed in 22 assisted living units to track the activities of daily living (ADLs) and key alert conditions of residents (15 of whom were nonmemory care residents). Activity reports and alert notifications were sent to professional caregivers who provided care to residents participating in the study. Diagnostic use of the monitoring data was assessed. Nonmemory care residents were surveyed and assessed using the Satisfaction With Life Scale (SWLS) instrument. Pre- and post-installation SWLS scores were compared. Older adult participants accepted monitoring. The results suggest that monitoring technologies could provide care coordination tools that are accepted by residents and may have a positive impact on their quality of life |
| doi_str_mv | 10.1109/TITB.2005.855552 |
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Monitoring systems were installed in 22 assisted living units to track the activities of daily living (ADLs) and key alert conditions of residents (15 of whom were nonmemory care residents). Activity reports and alert notifications were sent to professional caregivers who provided care to residents participating in the study. Diagnostic use of the monitoring data was assessed. Nonmemory care residents were surveyed and assessed using the Satisfaction With Life Scale (SWLS) instrument. Pre- and post-installation SWLS scores were compared. Older adult participants accepted monitoring. The results suggest that monitoring technologies could provide care coordination tools that are accepted by residents and may have a positive impact on their quality of life</description><identifier>ISSN: 1089-7771</identifier><identifier>ISSN: 2168-2194</identifier><identifier>EISSN: 1558-0032</identifier><identifier>EISSN: 2168-2208</identifier><identifier>DOI: 10.1109/TITB.2005.855552</identifier><identifier>PMID: 16445264</identifier><identifier>CODEN: ITIBFX</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Activities of Daily Living ; Activity daily living (ADL) monitoring ; Aged ; Aged, 80 and over ; assisted-living ; Automation ; Biomedical monitoring ; Biotechnology - methods ; care coordination ; Condition monitoring ; Diagnosis, Computer-Assisted - methods ; Diagnosis, Computer-Assisted - statistics & numerical data ; Disaster management ; Diseases ; emergency monitoring ; Female ; Humans ; Middle Aged ; Monitoring, Ambulatory - methods ; Monitoring, Ambulatory - statistics & numerical data ; Motor Activity ; Outcome Assessment (Health Care) ; Paper technology ; Patient Acceptance of Health Care - statistics & numerical data ; Pilot Projects ; Program Evaluation ; Psychology ; quality of life ; Remote monitoring ; Telemedicine - methods ; Telemedicine - statistics & numerical data ; Testing ; United States - epidemiology ; Wearable sensors</subject><ispartof>IEEE journal of biomedical and health informatics, 2006-01, Vol.10 (1), p.192-198</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2006</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c485t-a0929aae3baab66838e9f8b3668d038e2fafcfbad8aeb61f0d60df030040cd123</citedby><cites>FETCH-LOGICAL-c485t-a0929aae3baab66838e9f8b3668d038e2fafcfbad8aeb61f0d60df030040cd123</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1573721$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,777,781,793,27905,27906,54739</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1573721$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16445264$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Alwan, M.</creatorcontrib><creatorcontrib>Dalal, S.</creatorcontrib><creatorcontrib>Mack, D.</creatorcontrib><creatorcontrib>Kell, S.</creatorcontrib><creatorcontrib>Turner, B.</creatorcontrib><creatorcontrib>Leachtenauer, J.</creatorcontrib><creatorcontrib>Felder, R.</creatorcontrib><title>Impact of monitoring technology in assisted living: outcome pilot</title><title>IEEE journal of biomedical and health informatics</title><addtitle>TITB</addtitle><addtitle>IEEE Trans Inf Technol Biomed</addtitle><description>This paper describes a study designed to assess the acceptance and some psychosocial impacts of monitoring technology in assisted living. Monitoring systems were installed in 22 assisted living units to track the activities of daily living (ADLs) and key alert conditions of residents (15 of whom were nonmemory care residents). Activity reports and alert notifications were sent to professional caregivers who provided care to residents participating in the study. Diagnostic use of the monitoring data was assessed. Nonmemory care residents were surveyed and assessed using the Satisfaction With Life Scale (SWLS) instrument. Pre- and post-installation SWLS scores were compared. Older adult participants accepted monitoring. The results suggest that monitoring technologies could provide care coordination tools that are accepted by residents and may have a positive impact on their quality of life</description><subject>Activities of Daily Living</subject><subject>Activity daily living (ADL) monitoring</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>assisted-living</subject><subject>Automation</subject><subject>Biomedical monitoring</subject><subject>Biotechnology - methods</subject><subject>care coordination</subject><subject>Condition monitoring</subject><subject>Diagnosis, Computer-Assisted - methods</subject><subject>Diagnosis, Computer-Assisted - statistics & numerical data</subject><subject>Disaster management</subject><subject>Diseases</subject><subject>emergency monitoring</subject><subject>Female</subject><subject>Humans</subject><subject>Middle Aged</subject><subject>Monitoring, Ambulatory - methods</subject><subject>Monitoring, Ambulatory - statistics & numerical data</subject><subject>Motor Activity</subject><subject>Outcome Assessment (Health Care)</subject><subject>Paper technology</subject><subject>Patient Acceptance of Health Care - statistics & numerical data</subject><subject>Pilot Projects</subject><subject>Program Evaluation</subject><subject>Psychology</subject><subject>quality of life</subject><subject>Remote monitoring</subject><subject>Telemedicine - methods</subject><subject>Telemedicine - statistics & numerical data</subject><subject>Testing</subject><subject>United States - epidemiology</subject><subject>Wearable sensors</subject><issn>1089-7771</issn><issn>2168-2194</issn><issn>1558-0032</issn><issn>2168-2208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNqFkUtLxDAQgIMovu-CIMWDnrpO3qk3XXwsCF7Wc0jbRCNtszat4L83ZRcEDzqXmTDfDGQ-hE4wzDCG4mq5WN7OCACfKZ6CbKF9zLnKASjZTjWoIpdS4j10EOM7AGYc0120hwVjnAi2j24W7cpUQxZc1obOD6H33Ws22OqtC014_cp8l5kYfRxsnTX-M3WvszAOVWhttvJNGI7QjjNNtMebfIhe7u-W88f86flhMb95yium-JAbKEhhjKWlMaUQiipbOFXSVNaQHsQZV7nS1MrYUmAHtYDaAQVgUNWY0EN0ud676sPHaOOgWx8r2zSms2GMWkmGC2BKJPLiT1KCJEoR-S9IVLqjBP4viAs2sSyB57_A9zD2XbqLVoILCVhMP4E1VPUhxt46vep9a_ovjUFPXvXkVU9e9dprGjnb7B3L1tY_AxuRCThdA95a-9PmkkqC6TeVO6XI</recordid><startdate>200601</startdate><enddate>200601</enddate><creator>Alwan, M.</creator><creator>Dalal, S.</creator><creator>Mack, D.</creator><creator>Kell, S.</creator><creator>Turner, B.</creator><creator>Leachtenauer, J.</creator><creator>Felder, R.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><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>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>200601</creationdate><title>Impact of monitoring technology in assisted living: outcome pilot</title><author>Alwan, M. ; Dalal, S. ; Mack, D. ; Kell, S. ; Turner, B. ; Leachtenauer, J. ; Felder, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c485t-a0929aae3baab66838e9f8b3668d038e2fafcfbad8aeb61f0d60df030040cd123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Activities of Daily Living</topic><topic>Activity daily living (ADL) monitoring</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>assisted-living</topic><topic>Automation</topic><topic>Biomedical monitoring</topic><topic>Biotechnology - methods</topic><topic>care coordination</topic><topic>Condition monitoring</topic><topic>Diagnosis, Computer-Assisted - methods</topic><topic>Diagnosis, Computer-Assisted - statistics & numerical data</topic><topic>Disaster management</topic><topic>Diseases</topic><topic>emergency monitoring</topic><topic>Female</topic><topic>Humans</topic><topic>Middle Aged</topic><topic>Monitoring, Ambulatory - methods</topic><topic>Monitoring, Ambulatory - statistics & numerical data</topic><topic>Motor Activity</topic><topic>Outcome Assessment (Health Care)</topic><topic>Paper technology</topic><topic>Patient Acceptance of Health Care - statistics & numerical data</topic><topic>Pilot Projects</topic><topic>Program Evaluation</topic><topic>Psychology</topic><topic>quality of life</topic><topic>Remote monitoring</topic><topic>Telemedicine - methods</topic><topic>Telemedicine - statistics & numerical data</topic><topic>Testing</topic><topic>United States - epidemiology</topic><topic>Wearable sensors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alwan, M.</creatorcontrib><creatorcontrib>Dalal, S.</creatorcontrib><creatorcontrib>Mack, D.</creatorcontrib><creatorcontrib>Kell, S.</creatorcontrib><creatorcontrib>Turner, B.</creatorcontrib><creatorcontrib>Leachtenauer, J.</creatorcontrib><creatorcontrib>Felder, R.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE journal of biomedical and health informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Alwan, M.</au><au>Dalal, S.</au><au>Mack, D.</au><au>Kell, S.</au><au>Turner, B.</au><au>Leachtenauer, J.</au><au>Felder, R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of monitoring technology in assisted living: outcome pilot</atitle><jtitle>IEEE journal of biomedical and health informatics</jtitle><stitle>TITB</stitle><addtitle>IEEE Trans Inf Technol Biomed</addtitle><date>2006-01</date><risdate>2006</risdate><volume>10</volume><issue>1</issue><spage>192</spage><epage>198</epage><pages>192-198</pages><issn>1089-7771</issn><issn>2168-2194</issn><eissn>1558-0032</eissn><eissn>2168-2208</eissn><coden>ITIBFX</coden><abstract>This paper describes a study designed to assess the acceptance and some psychosocial impacts of monitoring technology in assisted living. Monitoring systems were installed in 22 assisted living units to track the activities of daily living (ADLs) and key alert conditions of residents (15 of whom were nonmemory care residents). Activity reports and alert notifications were sent to professional caregivers who provided care to residents participating in the study. Diagnostic use of the monitoring data was assessed. Nonmemory care residents were surveyed and assessed using the Satisfaction With Life Scale (SWLS) instrument. Pre- and post-installation SWLS scores were compared. Older adult participants accepted monitoring. The results suggest that monitoring technologies could provide care coordination tools that are accepted by residents and may have a positive impact on their quality of life</abstract><cop>United States</cop><pub>IEEE</pub><pmid>16445264</pmid><doi>10.1109/TITB.2005.855552</doi><tpages>7</tpages></addata></record> |
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| subjects | Activities of Daily Living Activity daily living (ADL) monitoring Aged Aged, 80 and over assisted-living Automation Biomedical monitoring Biotechnology - methods care coordination Condition monitoring Diagnosis, Computer-Assisted - methods Diagnosis, Computer-Assisted - statistics & numerical data Disaster management Diseases emergency monitoring Female Humans Middle Aged Monitoring, Ambulatory - methods Monitoring, Ambulatory - statistics & numerical data Motor Activity Outcome Assessment (Health Care) Paper technology Patient Acceptance of Health Care - statistics & numerical data Pilot Projects Program Evaluation Psychology quality of life Remote monitoring Telemedicine - methods Telemedicine - statistics & numerical data Testing United States - epidemiology Wearable sensors |
| title | Impact of monitoring technology in assisted living: outcome pilot |
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