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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
Main Authors: 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
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cited_by cdi_FETCH-LOGICAL-c526t-388b2d93c23f67cf881ec58a29f82a3bfdb8cb1442150d730b35bc7ebe568dbd3
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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
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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. 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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. 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Medical Complete (Alumni)</collection><collection>https://resources.nclive.org/materials</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials science collection</collection><collection>ProQuest - Publicly Available Content Database</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 China</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - 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>
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identifier ISSN: 1932-6203
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1932-6203
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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
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