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dc.contributor.authorClark, Sophie
dc.contributor.authorPorter, Alison
dc.contributor.authorHalter, Mary
dc.contributor.authorDorning, Holly
dc.date.accessioned2019-09-23T15:05:52Z
dc.date.available2019-09-23T15:05:52Z
dc.date.issued2017-10
dc.identifier.citationClark, S. et al, 2017. 03 Data linkage across ambulance services and acute trusts: challenges and opportunities. Emergency Medicine Journal : EMJ, 34 (10), 696.en_US
dc.identifier.issn1472-0205
dc.identifier.issn1472-0213
dc.identifier.doi10.1136/emermed-2017-207114.3
dc.identifier.urihttp://hdl.handle.net/20.500.12417/279
dc.description.abstractBackground Most callers to 999 ambulance services are transported to hospital emergency departments (EDs), but ambulance services receive no information on patient outcomes. PHED Data is a two-year mixed-methods observational study of the process and potential benefits of linking data from EDs with ambulance service data to allow analysis of patient outcomes. We report on our first aim, to examine the potential opportunities and challenges to routinely linking these data. Methods We approached six acute trusts, selected to give a range of performance, location and size, from an English metropolitan area. We used a structured learning log to collect data on the process, time input and reflections. We analysed these data with descriptive statistics, and qualitatively for themes. Results All six trusts we approached agreed to participate. Data were linked using an algorithm based on date, time and patient demographics. We achieved a dataset of 7 75 018 records covering 2012–2016, and a linkage rate of 81%. We identified five stages of the process: senior approval; exploring data availability; information governance agreement; data transfer and linking. The most intensive phases were; negotiating senior approval (mean research team input per trust of 8 hours 5 min [SD 8 hours 3 min] plus additional time from acute trusts), and data linkage (mean research team input per trust 12 hours 40 min [SD 7 hours 4 min]). The stage which took the longest was information governance (mean 19 weeks). Key themes included the positive attitudes of trusts to participating, the range of decision-makers involved, and the need for sustained input from the research team. Conclusions We have found the process of data linkage to be feasible, but requires dedicated time from research and trust staff, over a prolonged period, in order to achieve initial set up. Linked data are now being analysed. https://emj.bmj.com/content/34/10/696.1 This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ http://dx.doi.org/10.1136/emermed-2017-207114.3
dc.language.isoenen_US
dc.subjectEmergency Medical Servicesen_US
dc.subjectStructured Learning Logen_US
dc.subjectDataen_US
dc.subjectInformation Storage and Retrievalen_US
dc.subjectAcute Careen_US
dc.titleData linkage across ambulance services and acute trusts: challenges and opportunitiesen_US
dc.typeConference Paper/Proceeding/Abstract
dc.source.journaltitleEmergency Medicine Journalen_US
dcterms.dateAccepted2019-08-21
rioxxterms.versionNAen_US
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden_US
rioxxterms.licenseref.startdate2019-08-21
refterms.panelUnspecifieden_US
refterms.dateFirstOnline2017-10
html.description.abstractBackground Most callers to 999 ambulance services are transported to hospital emergency departments (EDs), but ambulance services receive no information on patient outcomes. PHED Data is a two-year mixed-methods observational study of the process and potential benefits of linking data from EDs with ambulance service data to allow analysis of patient outcomes. We report on our first aim, to examine the potential opportunities and challenges to routinely linking these data. Methods We approached six acute trusts, selected to give a range of performance, location and size, from an English metropolitan area. We used a structured learning log to collect data on the process, time input and reflections. We analysed these data with descriptive statistics, and qualitatively for themes. Results All six trusts we approached agreed to participate. Data were linked using an algorithm based on date, time and patient demographics. We achieved a dataset of 7 75 018 records covering 2012–2016, and a linkage rate of 81%. We identified five stages of the process: senior approval; exploring data availability; information governance agreement; data transfer and linking. The most intensive phases were; negotiating senior approval (mean research team input per trust of 8 hours 5 min [SD 8 hours 3 min] plus additional time from acute trusts), and data linkage (mean research team input per trust 12 hours 40 min [SD 7 hours 4 min]). The stage which took the longest was information governance (mean 19 weeks). Key themes included the positive attitudes of trusts to participating, the range of decision-makers involved, and the need for sustained input from the research team. Conclusions We have found the process of data linkage to be feasible, but requires dedicated time from research and trust staff, over a prolonged period, in order to achieve initial set up. Linked data are now being analysed. https://emj.bmj.com/content/34/10/696.1 This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ http://dx.doi.org/10.1136/emermed-2017-207114.3en_US


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