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Predicting asthma-related hospitalizations and deaths using routine electronic healthcare data : a quantitative database analysis study

dc.contributor.authorNoble, Michael J
dc.contributor.authorBurden, Annie
dc.contributor.authorStirling, Susan
dc.contributor.authorClark, Allan B
dc.contributor.authorMusgrave, Stanley D.
dc.contributor.authorAlsallakh, Mohammad A
dc.contributor.authorPrice, David
dc.contributor.authorDavies, Gwyneth A
dc.contributor.authorPinnock, Hilary
dc.contributor.authorPond, Martin
dc.contributor.authorSheikh, Aziz
dc.contributor.authorSims, Erika J
dc.contributor.authorWalker, Samantha
dc.contributor.authorWilson, Andrew M
dc.date.accessioned2021-11-30T16:07:00Z
dc.date.available2021-11-30T16:07:00Z
dc.date.issued2021-12
dc.identifier.citationNoble , M J , Burden , A , Stirling , S , Clark , A B , Musgrave , S D , Alsallakh , M A , Price , D , Davies , G A , Pinnock , H , Pond , M , Sheikh , A , Sims , E J , Walker , S & Wilson , A M 2021 , ' Predicting asthma-related hospitalizations and deaths using routine electronic healthcare data : a quantitative database analysis study ' , British Journal of General Practice , vol. 71 , no. 713 , pp. e948-e957 . https://doi.org/10.3399/BJGP.2020.1042en
dc.identifier.issn0960-1643
dc.identifier.otherPURE: 195294284
dc.identifier.otherPURE UUID: d55150c2-098c-4293-8e04-928b820ef647
dc.identifier.otherPubMed: 34133316
dc.identifier.otherWOS: 000708827400001
dc.identifier.otherScopus: 85116476803
dc.identifier.urihttps://hdl.handle.net/2164/17585
dc.descriptionAcknowledgements The authors would like to thank Derek Skinner, of the Observational & Pragmatic Research Institute, for his support in analytical dataset generation and statistical analyses. We would like to acknowledge the support of the Asthma UK Centre for Applied Research for its help with this study. Funding The Dataset and Statistical Analyses for the derivation of the algorithm was funded and delivered by the Observational & Pragmatic Research Institute (OPRI). This paper presents independent research funded by the National Institute for Health Research (NIHR) under its Health Technology Assessment (HTA) programme (Grant reference number 13/34/70). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.en
dc.format.extent10
dc.language.isoeng
dc.relation.ispartofBritish Journal of General Practiceen
dc.rights© The Authors http://creativecommons.org/licenses/by/4.0/ This article is Open Access: CC BY 4.0 licence (http://creativecommons.org/licences/by/4.0/)en
dc.subjectAsthmaen
dc.subjectasthma attacken
dc.subjectrisken
dc.subjectpredictionen
dc.subjectAlgorithmen
dc.subjectR Medicineen
dc.subjectNational Institute for Health Research (NIHR)en
dc.subject13/34/70en
dc.subjectOtheren
dc.subject.lccRen
dc.titlePredicting asthma-related hospitalizations and deaths using routine electronic healthcare data : a quantitative database analysis studyen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.3399/BJGP.2020.1042
dc.identifier.vol71en
dc.identifier.iss713en


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