eprintid: 1471239 rev_number: 34 eprint_status: archive userid: 608 dir: disk0/01/47/12/39 datestamp: 2015-09-23 14:53:54 lastmod: 2021-12-24 23:25:07 status_changed: 2015-09-23 14:53:54 type: article metadata_visibility: show creators_name: Smith, C creators_name: Curran, MD creators_name: Roddick, I creators_name: Reacher, M title: Use of linked electronic health records to assess mortality and length of stay associated with pandemic influenza A(H1N1)pdm09 at a UK teaching hospital ispublished: pub divisions: UCL divisions: B02 divisions: DD4 keywords: influenza A, Adolescent, Adult, Age Factors, Aged, Child, Child, Preschool, Continental Population Groups, Electronic Health Records, Female, Great Britain, Healthcare Disparities, Hospitals, Teaching, Humans, Infant, Influenza A Virus, H5N1 Subtype, Influenza, Human, Length of Stay, Male, Medical Record Linkage, Middle Aged, Pandemics, Socioeconomic Factors, Young Adult note: © Cambridge University Press 2014. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. abstract: Effective use of data linkage is becoming an increasingly important focus in the new healthcare system in England. We linked data from the results of a multiplex PCR assay for respiratory viruses for a population of 230 inpatients at a UK teaching hospital with their patient administrative system records in order to compare the mortality and length of stay of patients who tested positive for influenza A(H1N1)pdm09 with those positive for another influenza A virus. The results indicated a reduced risk of death among influenza A(H1N1)pdm09 patients compared to other influenza A strains, with an adjusted risk ratio of 0·25 (95% confidence interval 0·08-0·75, P = 0·01), while no significant differences were found between the lengths of stay in the hospital for these two groups. Further development of such methods to link hospital data in a routine fashion could provide a rapid means of gaining epidemiological insights into emerging infectious diseases. date: 2015-04 date_type: published official_url: http://dx.doi.org/10.1017/S0950268814002076 oa_status: green full_text_type: pub pmcid: PMC4411648 primo: open primo_central: open_green article_type_text: Journal Article verified: verified_manual elements_id: 1027024 doi: 10.1017/S0950268814002076 pii: S0950268814002076 language_elements: eng publication_declined: 2017-02-04T22:44:16GMT lyricists_name: Smith, Catherine lyricists_id: CSMIT61 actors_name: Smith-Clarke, Christopher actors_name: Poirier, Elizabeth actors_id: CJSMI93 actors_id: EPPOI23 actors_role: owner actors_role: impersonator full_text_status: public publication: Epidemiol Infect volume: 143 number: 6 pagerange: 1125-1128 event_location: England issn: 1469-4409 citation: Smith, C; Curran, MD; Roddick, I; Reacher, M; (2015) Use of linked electronic health records to assess mortality and length of stay associated with pandemic influenza A(H1N1)pdm09 at a UK teaching hospital. Epidemiol Infect , 143 (6) pp. 1125-1128. 10.1017/S0950268814002076 <https://doi.org/10.1017/S0950268814002076>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/1471239/1/Use%20of%20linked%20electronic%20health%20records%20to%20assess%20mortality%20and%20length%20of%20stay%20associated%20with%20pandemic%20influenza%20A%28H1N1%29pdm09%20at%20a%20UK%20teaching%20hospital..pdf