Cargando…

Integrating Electronic Medical Records and Claims Data for Influenza Vaccine Research

Real-world evidence (RWE) increasingly informs public health and healthcare decisions worldwide. A large database has been created (“Integrated Dataset”) that integrates primary care electronic medical records with pharmacy and medical claims data on >123 million US patients since 2014. This arti...

Descripción completa

Detalles Bibliográficos
Autores principales: Boikos, Constantina, Imran, Mahrukh, de Lusignan, Simon, Ortiz, Justin R., Patriarca, Peter A., Mansi, James A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143116/
https://www.ncbi.nlm.nih.gov/pubmed/35632483
http://dx.doi.org/10.3390/vaccines10050727
_version_ 1784715726325547008
author Boikos, Constantina
Imran, Mahrukh
de Lusignan, Simon
Ortiz, Justin R.
Patriarca, Peter A.
Mansi, James A.
author_facet Boikos, Constantina
Imran, Mahrukh
de Lusignan, Simon
Ortiz, Justin R.
Patriarca, Peter A.
Mansi, James A.
author_sort Boikos, Constantina
collection PubMed
description Real-world evidence (RWE) increasingly informs public health and healthcare decisions worldwide. A large database has been created (“Integrated Dataset”) that integrates primary care electronic medical records with pharmacy and medical claims data on >123 million US patients since 2014. This article describes the components of the Integrated Dataset and evaluates its representativeness to the US population and its potential use in evaluating influenza vaccine effectiveness. Representativeness to the US population (2014–2019) was evaluated by comparison with demographic information from the 2019 US census and the National Ambulatory Medical Care Survey (NAMCS). Variables included in the Integrated Dataset were evaluated against World Health Organization (WHO) defined key and non-critical variables for evaluating influenza vaccine performance. The Integrated Dataset contains a variety of information, including demographic data, patient medical history, diagnoses, immunizations, and prescriptions. Distributions of most age categories and sex were comparable with the US Census and NAMCS populations. The Integrated Dataset was less diverse by race and ethnicity. Additionally, WHO key and non-critical variables for the estimation of influenza vaccine effectiveness are available in the Integrated Dataset. In summary, the Integrated Dataset is generally representative of the US population and contains key variables for the assessment of influenza vaccine effectiveness.
format Online
Article
Text
id pubmed-9143116
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-91431162022-05-29 Integrating Electronic Medical Records and Claims Data for Influenza Vaccine Research Boikos, Constantina Imran, Mahrukh de Lusignan, Simon Ortiz, Justin R. Patriarca, Peter A. Mansi, James A. Vaccines (Basel) Article Real-world evidence (RWE) increasingly informs public health and healthcare decisions worldwide. A large database has been created (“Integrated Dataset”) that integrates primary care electronic medical records with pharmacy and medical claims data on >123 million US patients since 2014. This article describes the components of the Integrated Dataset and evaluates its representativeness to the US population and its potential use in evaluating influenza vaccine effectiveness. Representativeness to the US population (2014–2019) was evaluated by comparison with demographic information from the 2019 US census and the National Ambulatory Medical Care Survey (NAMCS). Variables included in the Integrated Dataset were evaluated against World Health Organization (WHO) defined key and non-critical variables for evaluating influenza vaccine performance. The Integrated Dataset contains a variety of information, including demographic data, patient medical history, diagnoses, immunizations, and prescriptions. Distributions of most age categories and sex were comparable with the US Census and NAMCS populations. The Integrated Dataset was less diverse by race and ethnicity. Additionally, WHO key and non-critical variables for the estimation of influenza vaccine effectiveness are available in the Integrated Dataset. In summary, the Integrated Dataset is generally representative of the US population and contains key variables for the assessment of influenza vaccine effectiveness. MDPI 2022-05-06 /pmc/articles/PMC9143116/ /pubmed/35632483 http://dx.doi.org/10.3390/vaccines10050727 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Boikos, Constantina
Imran, Mahrukh
de Lusignan, Simon
Ortiz, Justin R.
Patriarca, Peter A.
Mansi, James A.
Integrating Electronic Medical Records and Claims Data for Influenza Vaccine Research
title Integrating Electronic Medical Records and Claims Data for Influenza Vaccine Research
title_full Integrating Electronic Medical Records and Claims Data for Influenza Vaccine Research
title_fullStr Integrating Electronic Medical Records and Claims Data for Influenza Vaccine Research
title_full_unstemmed Integrating Electronic Medical Records and Claims Data for Influenza Vaccine Research
title_short Integrating Electronic Medical Records and Claims Data for Influenza Vaccine Research
title_sort integrating electronic medical records and claims data for influenza vaccine research
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143116/
https://www.ncbi.nlm.nih.gov/pubmed/35632483
http://dx.doi.org/10.3390/vaccines10050727
work_keys_str_mv AT boikosconstantina integratingelectronicmedicalrecordsandclaimsdataforinfluenzavaccineresearch
AT imranmahrukh integratingelectronicmedicalrecordsandclaimsdataforinfluenzavaccineresearch
AT delusignansimon integratingelectronicmedicalrecordsandclaimsdataforinfluenzavaccineresearch
AT ortizjustinr integratingelectronicmedicalrecordsandclaimsdataforinfluenzavaccineresearch
AT patriarcapetera integratingelectronicmedicalrecordsandclaimsdataforinfluenzavaccineresearch
AT mansijamesa integratingelectronicmedicalrecordsandclaimsdataforinfluenzavaccineresearch