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Support and Assessment for Fall Emergency Referrals (SAFER 1): cluster randomised trial of computerised clinical decision support for paramedics
To evaluate effectiveness, safety and cost-effectiveness of Computerised Clinical Decision Support (CCDS) for paramedics attending older people who fall. Cluster trial randomised by paramedic; modelling. 13 ambulance stations in two UK emergency ambulance services. 42 of 409 eligible paramedics, who...
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Published in: | PloS one 2014-09, Vol.9 (9), p.e106436-e106436 |
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creator | Snooks, Helen Anne Carter, Ben Dale, Jeremy Foster, Theresa Humphreys, Ioan Logan, Philippa Anne Lyons, Ronan Anthony Mason, Suzanne Margaret Phillips, Ceri James Sanchez, Antonio Wani, Mushtaq Watkins, Alan Wells, Bridget Elizabeth Whitfield, Richard Russell, Ian Trevor |
description | To evaluate effectiveness, safety and cost-effectiveness of Computerised Clinical Decision Support (CCDS) for paramedics attending older people who fall.
Cluster trial randomised by paramedic; modelling.
13 ambulance stations in two UK emergency ambulance services.
42 of 409 eligible paramedics, who attended 779 older patients for a reported fall.
Intervention paramedics received CCDS on Tablet computers to guide patient care. Control paramedics provided care as usual. One service had already installed electronic data capture.
Effectiveness: patients referred to falls service, patient reported quality of life and satisfaction, processes of care.
Further emergency contacts or death within one month.
Costs and quality of life. We used findings from published Community Falls Prevention Trial to model cost-effectiveness.
17 intervention paramedics used CCDS for 54 (12.4%) of 436 participants. They referred 42 (9.6%) to falls services, compared with 17 (5.0%) of 343 participants seen by 19 control paramedics [Odds ratio (OR) 2.04, 95% CI 1.12 to 3.72]. No adverse events were related to the intervention. Non-significant differences between groups included: subsequent emergency contacts (34.6% versus 29.1%; OR 1.27, 95% CI 0.93 to 1.72); quality of life (mean SF12 differences: MCS -0.74, 95% CI -2.83 to +1.28; PCS -0.13, 95% CI -1.65 to +1.39) and non-conveyance (42.0% versus 36.7%; OR 1.13, 95% CI 0.84 to 1.52). However ambulance job cycle time was 8.9 minutes longer for intervention patients (95% CI 2.3 to 15.3). Average net cost of implementing CCDS was £208 per patient with existing electronic data capture, and £308 without. Modelling estimated cost per quality-adjusted life-year at £15,000 with existing electronic data capture; and £22,200 without.
Intervention paramedics referred twice as many participants to falls services with no difference in safety. CCDS is potentially cost-effective, especially with existing electronic data capture.
ISRCTN Register ISRCTN10538608. |
doi_str_mv | 10.1371/journal.pone.0106436 |
format | article |
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Cluster trial randomised by paramedic; modelling.
13 ambulance stations in two UK emergency ambulance services.
42 of 409 eligible paramedics, who attended 779 older patients for a reported fall.
Intervention paramedics received CCDS on Tablet computers to guide patient care. Control paramedics provided care as usual. One service had already installed electronic data capture.
Effectiveness: patients referred to falls service, patient reported quality of life and satisfaction, processes of care.
Further emergency contacts or death within one month.
Costs and quality of life. We used findings from published Community Falls Prevention Trial to model cost-effectiveness.
17 intervention paramedics used CCDS for 54 (12.4%) of 436 participants. They referred 42 (9.6%) to falls services, compared with 17 (5.0%) of 343 participants seen by 19 control paramedics [Odds ratio (OR) 2.04, 95% CI 1.12 to 3.72]. No adverse events were related to the intervention. Non-significant differences between groups included: subsequent emergency contacts (34.6% versus 29.1%; OR 1.27, 95% CI 0.93 to 1.72); quality of life (mean SF12 differences: MCS -0.74, 95% CI -2.83 to +1.28; PCS -0.13, 95% CI -1.65 to +1.39) and non-conveyance (42.0% versus 36.7%; OR 1.13, 95% CI 0.84 to 1.52). However ambulance job cycle time was 8.9 minutes longer for intervention patients (95% CI 2.3 to 15.3). Average net cost of implementing CCDS was £208 per patient with existing electronic data capture, and £308 without. Modelling estimated cost per quality-adjusted life-year at £15,000 with existing electronic data capture; and £22,200 without.
Intervention paramedics referred twice as many participants to falls services with no difference in safety. CCDS is potentially cost-effective, especially with existing electronic data capture.
ISRCTN Register ISRCTN10538608.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0106436</identifier><identifier>PMID: 25216281</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accidental Falls - economics ; Aged ; Aged, 80 and over ; Allied Health Personnel ; Ambulance services ; Clinical decision making ; Cluster Analysis ; Clusters ; Computer simulation ; Computers ; Cost analysis ; Cycle time ; Data capture ; Decision making ; Decision Support Systems, Clinical - economics ; Electronic health records ; Emergencies ; Emergency medical care ; Emergency vehicles ; Ethics ; Falls ; Female ; Health Care Costs ; Health economics ; Health sciences ; Hospitals ; Humans ; Information Dissemination ; Intervention ; Life sciences ; Male ; Medicine ; Medicine and Health Sciences ; Modelling ; Older people ; Paramedics ; Patients ; Quality of life ; Randomization ; Referral and Consultation - economics ; Safety ; Social Sciences ; Studies ; Surveys and Questionnaires ; Tablet computers ; Treatment Outcome</subject><ispartof>PloS one, 2014-09, Vol.9 (9), p.e106436-e106436</ispartof><rights>2014 Snooks et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Snooks et al 2014 Snooks et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c526t-388b2d93c23f67cf881ec58a29f82a3bfdb8cb1442150d730b35bc7ebe568dbd3</citedby><cites>FETCH-LOGICAL-c526t-388b2d93c23f67cf881ec58a29f82a3bfdb8cb1442150d730b35bc7ebe568dbd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1561634888/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1561634888?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25216281$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Quinn, Terence J.</contributor><creatorcontrib>Snooks, Helen Anne</creatorcontrib><creatorcontrib>Carter, Ben</creatorcontrib><creatorcontrib>Dale, Jeremy</creatorcontrib><creatorcontrib>Foster, Theresa</creatorcontrib><creatorcontrib>Humphreys, Ioan</creatorcontrib><creatorcontrib>Logan, Philippa Anne</creatorcontrib><creatorcontrib>Lyons, Ronan Anthony</creatorcontrib><creatorcontrib>Mason, Suzanne Margaret</creatorcontrib><creatorcontrib>Phillips, Ceri James</creatorcontrib><creatorcontrib>Sanchez, Antonio</creatorcontrib><creatorcontrib>Wani, Mushtaq</creatorcontrib><creatorcontrib>Watkins, Alan</creatorcontrib><creatorcontrib>Wells, Bridget Elizabeth</creatorcontrib><creatorcontrib>Whitfield, Richard</creatorcontrib><creatorcontrib>Russell, Ian Trevor</creatorcontrib><title>Support and Assessment for Fall Emergency Referrals (SAFER 1): cluster randomised trial of computerised clinical decision support for paramedics</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To evaluate effectiveness, safety and cost-effectiveness of Computerised Clinical Decision Support (CCDS) for paramedics attending older people who fall.
Cluster trial randomised by paramedic; modelling.
13 ambulance stations in two UK emergency ambulance services.
42 of 409 eligible paramedics, who attended 779 older patients for a reported fall.
Intervention paramedics received CCDS on Tablet computers to guide patient care. Control paramedics provided care as usual. One service had already installed electronic data capture.
Effectiveness: patients referred to falls service, patient reported quality of life and satisfaction, processes of care.
Further emergency contacts or death within one month.
Costs and quality of life. We used findings from published Community Falls Prevention Trial to model cost-effectiveness.
17 intervention paramedics used CCDS for 54 (12.4%) of 436 participants. They referred 42 (9.6%) to falls services, compared with 17 (5.0%) of 343 participants seen by 19 control paramedics [Odds ratio (OR) 2.04, 95% CI 1.12 to 3.72]. No adverse events were related to the intervention. Non-significant differences between groups included: subsequent emergency contacts (34.6% versus 29.1%; OR 1.27, 95% CI 0.93 to 1.72); quality of life (mean SF12 differences: MCS -0.74, 95% CI -2.83 to +1.28; PCS -0.13, 95% CI -1.65 to +1.39) and non-conveyance (42.0% versus 36.7%; OR 1.13, 95% CI 0.84 to 1.52). However ambulance job cycle time was 8.9 minutes longer for intervention patients (95% CI 2.3 to 15.3). Average net cost of implementing CCDS was £208 per patient with existing electronic data capture, and £308 without. Modelling estimated cost per quality-adjusted life-year at £15,000 with existing electronic data capture; and £22,200 without.
Intervention paramedics referred twice as many participants to falls services with no difference in safety. CCDS is potentially cost-effective, especially with existing electronic data capture.
ISRCTN Register ISRCTN10538608.</description><subject>Accidental Falls - economics</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Allied Health Personnel</subject><subject>Ambulance services</subject><subject>Clinical decision making</subject><subject>Cluster Analysis</subject><subject>Clusters</subject><subject>Computer simulation</subject><subject>Computers</subject><subject>Cost analysis</subject><subject>Cycle time</subject><subject>Data capture</subject><subject>Decision making</subject><subject>Decision Support Systems, Clinical - economics</subject><subject>Electronic health records</subject><subject>Emergencies</subject><subject>Emergency medical care</subject><subject>Emergency vehicles</subject><subject>Ethics</subject><subject>Falls</subject><subject>Female</subject><subject>Health Care Costs</subject><subject>Health economics</subject><subject>Health sciences</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Information Dissemination</subject><subject>Intervention</subject><subject>Life sciences</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Modelling</subject><subject>Older people</subject><subject>Paramedics</subject><subject>Patients</subject><subject>Quality of life</subject><subject>Randomization</subject><subject>Referral and Consultation - economics</subject><subject>Safety</subject><subject>Social Sciences</subject><subject>Studies</subject><subject>Surveys and Questionnaires</subject><subject>Tablet computers</subject><subject>Treatment Outcome</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptUl1rFDEUHUSxtfoPRAO-1Idd8zHJZPogLGVXCwWh1eeQSe6sWTKTMZkR-i_8yWZ3p6UVnxJyzz3n3pNTFG8JXhJWkU-7MMVe--UQelhigkXJxLPilNSMLgTF7Pmj-0nxKqUdxpxJIV4WJ5RTIqgkp8Wf22kYQhyR7i1apQQpddCPqA0RbbT3aN1B3EJv7tANtBCj9gmd36426xtEPl4g46c0QkQx94fOJbBojE57FFpkQjdMuXh4Nd71zuSCBeOSCz1Ks_JeatBRd2CdSa-LF23WgDfzeVb82Ky_X35dXH_7cnW5ul4YTsW4YFI21NbMUNaKyrRSEjBcalq3kmrWtLaRpiFlSQnHtmK4YbwxFTTAhbSNZWfF-yPv4ENSs5lJES6IYKWUMiOujggb9E4N0XU63qmgnTo8hLhVOo7OeFBEagE11VDhuqSyktxYiY0sa8M5qUnm-jyrTU3e02SLs5NPSJ9WevdTbcNvVeZ_4iXPBOczQQy_JkijymYb8F73EKbD3LSkIo-doR_-gf5_u_KIMjGkFKF9GIZgtQ_YfZfaB0zNActt7x4v8tB0nyj2F7Co0Jc</recordid><startdate>20140912</startdate><enddate>20140912</enddate><creator>Snooks, Helen Anne</creator><creator>Carter, Ben</creator><creator>Dale, Jeremy</creator><creator>Foster, Theresa</creator><creator>Humphreys, Ioan</creator><creator>Logan, Philippa Anne</creator><creator>Lyons, Ronan Anthony</creator><creator>Mason, Suzanne Margaret</creator><creator>Phillips, Ceri James</creator><creator>Sanchez, Antonio</creator><creator>Wani, Mushtaq</creator><creator>Watkins, Alan</creator><creator>Wells, Bridget Elizabeth</creator><creator>Whitfield, Richard</creator><creator>Russell, Ian Trevor</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140912</creationdate><title>Support and Assessment for Fall Emergency Referrals (SAFER 1): cluster randomised trial of computerised clinical decision support for paramedics</title><author>Snooks, Helen Anne ; Carter, Ben ; Dale, Jeremy ; Foster, Theresa ; Humphreys, Ioan ; Logan, Philippa Anne ; Lyons, Ronan Anthony ; Mason, Suzanne Margaret ; Phillips, Ceri James ; Sanchez, Antonio ; Wani, Mushtaq ; Watkins, Alan ; Wells, Bridget Elizabeth ; Whitfield, Richard ; Russell, Ian Trevor</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-388b2d93c23f67cf881ec58a29f82a3bfdb8cb1442150d730b35bc7ebe568dbd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Accidental Falls - economics</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Allied Health Personnel</topic><topic>Ambulance services</topic><topic>Clinical decision making</topic><topic>Cluster Analysis</topic><topic>Clusters</topic><topic>Computer simulation</topic><topic>Computers</topic><topic>Cost analysis</topic><topic>Cycle time</topic><topic>Data capture</topic><topic>Decision making</topic><topic>Decision Support Systems, Clinical - economics</topic><topic>Electronic health records</topic><topic>Emergencies</topic><topic>Emergency medical care</topic><topic>Emergency vehicles</topic><topic>Ethics</topic><topic>Falls</topic><topic>Female</topic><topic>Health Care Costs</topic><topic>Health economics</topic><topic>Health sciences</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Information Dissemination</topic><topic>Intervention</topic><topic>Life sciences</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Modelling</topic><topic>Older people</topic><topic>Paramedics</topic><topic>Patients</topic><topic>Quality of life</topic><topic>Randomization</topic><topic>Referral and Consultation - economics</topic><topic>Safety</topic><topic>Social Sciences</topic><topic>Studies</topic><topic>Surveys and Questionnaires</topic><topic>Tablet computers</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Snooks, Helen Anne</creatorcontrib><creatorcontrib>Carter, Ben</creatorcontrib><creatorcontrib>Dale, Jeremy</creatorcontrib><creatorcontrib>Foster, Theresa</creatorcontrib><creatorcontrib>Humphreys, Ioan</creatorcontrib><creatorcontrib>Logan, Philippa Anne</creatorcontrib><creatorcontrib>Lyons, Ronan Anthony</creatorcontrib><creatorcontrib>Mason, Suzanne Margaret</creatorcontrib><creatorcontrib>Phillips, Ceri James</creatorcontrib><creatorcontrib>Sanchez, Antonio</creatorcontrib><creatorcontrib>Wani, Mushtaq</creatorcontrib><creatorcontrib>Watkins, Alan</creatorcontrib><creatorcontrib>Wells, Bridget Elizabeth</creatorcontrib><creatorcontrib>Whitfield, Richard</creatorcontrib><creatorcontrib>Russell, Ian Trevor</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>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Proquest Health and Medical Complete</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>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>https://resources.nclive.org/materials</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Snooks, Helen Anne</au><au>Carter, Ben</au><au>Dale, Jeremy</au><au>Foster, Theresa</au><au>Humphreys, Ioan</au><au>Logan, Philippa Anne</au><au>Lyons, Ronan Anthony</au><au>Mason, Suzanne Margaret</au><au>Phillips, Ceri James</au><au>Sanchez, Antonio</au><au>Wani, Mushtaq</au><au>Watkins, Alan</au><au>Wells, Bridget Elizabeth</au><au>Whitfield, Richard</au><au>Russell, Ian Trevor</au><au>Quinn, Terence J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Support and Assessment for Fall Emergency Referrals (SAFER 1): cluster randomised trial of computerised clinical decision support for paramedics</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-09-12</date><risdate>2014</risdate><volume>9</volume><issue>9</issue><spage>e106436</spage><epage>e106436</epage><pages>e106436-e106436</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To evaluate effectiveness, safety and cost-effectiveness of Computerised Clinical Decision Support (CCDS) for paramedics attending older people who fall.
Cluster trial randomised by paramedic; modelling.
13 ambulance stations in two UK emergency ambulance services.
42 of 409 eligible paramedics, who attended 779 older patients for a reported fall.
Intervention paramedics received CCDS on Tablet computers to guide patient care. Control paramedics provided care as usual. One service had already installed electronic data capture.
Effectiveness: patients referred to falls service, patient reported quality of life and satisfaction, processes of care.
Further emergency contacts or death within one month.
Costs and quality of life. We used findings from published Community Falls Prevention Trial to model cost-effectiveness.
17 intervention paramedics used CCDS for 54 (12.4%) of 436 participants. They referred 42 (9.6%) to falls services, compared with 17 (5.0%) of 343 participants seen by 19 control paramedics [Odds ratio (OR) 2.04, 95% CI 1.12 to 3.72]. No adverse events were related to the intervention. Non-significant differences between groups included: subsequent emergency contacts (34.6% versus 29.1%; OR 1.27, 95% CI 0.93 to 1.72); quality of life (mean SF12 differences: MCS -0.74, 95% CI -2.83 to +1.28; PCS -0.13, 95% CI -1.65 to +1.39) and non-conveyance (42.0% versus 36.7%; OR 1.13, 95% CI 0.84 to 1.52). However ambulance job cycle time was 8.9 minutes longer for intervention patients (95% CI 2.3 to 15.3). Average net cost of implementing CCDS was £208 per patient with existing electronic data capture, and £308 without. Modelling estimated cost per quality-adjusted life-year at £15,000 with existing electronic data capture; and £22,200 without.
Intervention paramedics referred twice as many participants to falls services with no difference in safety. CCDS is potentially cost-effective, especially with existing electronic data capture.
ISRCTN Register ISRCTN10538608.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25216281</pmid><doi>10.1371/journal.pone.0106436</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2014-09, Vol.9 (9), p.e106436-e106436 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1561634888 |
source | PubMed Central (Open Access); ProQuest - Publicly Available Content Database |
subjects | Accidental Falls - economics Aged Aged, 80 and over Allied Health Personnel Ambulance services Clinical decision making Cluster Analysis Clusters Computer simulation Computers Cost analysis Cycle time Data capture Decision making Decision Support Systems, Clinical - economics Electronic health records Emergencies Emergency medical care Emergency vehicles Ethics Falls Female Health Care Costs Health economics Health sciences Hospitals Humans Information Dissemination Intervention Life sciences Male Medicine Medicine and Health Sciences Modelling Older people Paramedics Patients Quality of life Randomization Referral and Consultation - economics Safety Social Sciences Studies Surveys and Questionnaires Tablet computers Treatment Outcome |
title | Support and Assessment for Fall Emergency Referrals (SAFER 1): cluster randomised trial of computerised clinical decision support for paramedics |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T06%3A21%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Support%20and%20Assessment%20for%20Fall%20Emergency%20Referrals%20(SAFER%201):%20cluster%20randomised%20trial%20of%20computerised%20clinical%20decision%20support%20for%20paramedics&rft.jtitle=PloS%20one&rft.au=Snooks,%20Helen%20Anne&rft.date=2014-09-12&rft.volume=9&rft.issue=9&rft.spage=e106436&rft.epage=e106436&rft.pages=e106436-e106436&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0106436&rft_dat=%3Cproquest_plos_%3E3430848561%3C/proquest_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c526t-388b2d93c23f67cf881ec58a29f82a3bfdb8cb1442150d730b35bc7ebe568dbd3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1561634888&rft_id=info:pmid/25216281&rfr_iscdi=true |