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Validation of asthma recording in electronic health records: protocol for a systematic review

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Title: Validation of asthma recording in electronic health records: protocol for a systematic review
Authors: Nissen, F
Quint, JK
Wilkinson, S
Mullerova, H
Smeeth, L
Douglas, I
Item Type: Journal Article
Abstract: Background Asthma is a common, heterogeneous disease with significant morbidity and mortality worldwide. It can be difficult to define in epidemiological studies using electronic health records as the diagnosis is based on non-specific respiratory symptoms and spirometry, neither of which are routinely registered. Electronic health records can nonetheless be valuable to study the epidemiology, management, healthcare use and control of asthma. For health databases to be useful sources of information, asthma diagnoses should ideally be validated. The primary objectives are to provide an overview of the methods used to validate asthma diagnoses in electronic health records and summarise the results of the validation studies. Methods EMBASE and MEDLINE will be systematically searched for appropriate search terms. The searches will cover all studies in these databases up to October 2016 with no start date and will yield studies that have validated algorithms or codes for the diagnosis of asthma in electronic health records. At least one test validation measure (sensitivity, specificity, positive predictive value, negative predictive value or other) is necessary for inclusion. In addition, we require the validated algorithms to be compared with an external golden standard, such as a manual review, a questionnaire or an independent second database. We will summarise key data including author, year of publication, country, time period, date, data source, population, case characteristics, clinical events, algorithms, gold standard and validation statistics in a uniform table. Ethics and dissemination This study is a synthesis of previously published studies and, therefore, no ethical approval is required. The results will be submitted to a peer-reviewed journal for publication. Results from this systematic review can be used to study outcome research on asthma and can be used to identify case definitions for asthma.
Issue Date: 1-May-2017
Date of Acceptance: 20-Apr-2017
URI: http://hdl.handle.net/10044/1/48245
DOI: https://dx.doi.org/10.1136/bmjopen-2016-014694
ISSN: 2044-6055
Publisher: BMJ Publishing Group
Journal / Book Title: BMJ Open
Volume: 7
Copyright Statement: © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/
Keywords: Science & Technology
Life Sciences & Biomedicine
Medicine, General & Internal
General & Internal Medicine
CLINICAL-RESEARCH
Electronic Health Records
Negative Predictive Value
Positive Predictive Value
asthma
sensitivity
specificity
validation
Publication Status: Published
Article Number: e014694
Appears in Collections:National Heart and Lung Institute
Faculty of Medicine



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