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1. 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.

Author

Smith C, Curran MD, Roddick I, and Reacher M

Subjects
Adolescent, Adult, Age Factors, Aged, Child, Child, Preschool, Female, Healthcare Disparities statistics & numerical data, Hospitals, Teaching statistics & numerical data, Humans, Infant, Influenza, Human epidemiology, Influenza, Human therapy, Male, Medical Record Linkage, Middle Aged, Racial Groups statistics & numerical data, Socioeconomic Factors, United Kingdom epidemiology, Young Adult, Electronic Health Records, Influenza A Virus, H5N1 Subtype, Influenza, Human mortality, Length of Stay statistics & numerical data, Pandemics statistics & numerical data
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.

Published
2015
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2. [Untitled]

Author

Smith, C., Curran, M. D., Roddick, I., and Reacher, M.

Subjects
Adult, Male, medicine.medical_specialty, Adolescent, Epidemiology, Population, Short Report, Respiratory Viruses, medicine.disease_cause, Young Adult, Influenza, Human, Pandemic, medicine, Influenza A virus, Electronic Health Records, Humans, Healthcare Disparities, Young adult, influenza A, Child, Hospitals, Teaching, education, Intensive care medicine, Pandemics, Aged, education.field_of_study, Influenza A Virus, H5N1 Subtype, business.industry, Racial Groups, Age Factors, Infant, Length of Stay, Middle Aged, Infectious Disease Epidemiology, United Kingdom, Confidence interval, Infectious Diseases, Socioeconomic Factors, Child, Preschool, Relative risk, Emergency medicine, Female, Medical Record Linkage, business, Infectious disease epidemiology
Abstract

SUMMARYEffective 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.

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