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Validated methods to identify patients with asthma–COPD overlap in healthcare databases: a systematic review protocol

INTRODUCTION: Asthma–chronic obstructive pulmonary disease (COPD) overlap (ACO) is characterised by patients presenting symptoms of both asthma and COPD. Many efforts have been made to validate different methods of identifying asthma–COPD overlap cases based on symptoms, spirometry and medical histo...

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Autores principales: Amegadzie, Joseph Emil, Badejo, Oluwatosin, Gamble, John-Michael, Wright, Mark, Farrell, Jamie, Jackson, Brooke, Sultana, Kirin, Hashmi, Maimoona, Gao, Zhiwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429878/
https://www.ncbi.nlm.nih.gov/pubmed/30872543
http://dx.doi.org/10.1136/bmjopen-2018-024306
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author Amegadzie, Joseph Emil
Badejo, Oluwatosin
Gamble, John-Michael
Wright, Mark
Farrell, Jamie
Jackson, Brooke
Sultana, Kirin
Hashmi, Maimoona
Gao, Zhiwei
author_facet Amegadzie, Joseph Emil
Badejo, Oluwatosin
Gamble, John-Michael
Wright, Mark
Farrell, Jamie
Jackson, Brooke
Sultana, Kirin
Hashmi, Maimoona
Gao, Zhiwei
author_sort Amegadzie, Joseph Emil
collection PubMed
description INTRODUCTION: Asthma–chronic obstructive pulmonary disease (COPD) overlap (ACO) is characterised by patients presenting symptoms of both asthma and COPD. Many efforts have been made to validate different methods of identifying asthma–COPD overlap cases based on symptoms, spirometry and medical history in epidemiological studies using healthcare databases. There are various coding algorithm strategies that can be used and selection depends on targeted validation. The primary objectives of this systematic review are to identify validated methods (or algorithms) that identify patients with ACO from healthcare databases and summarise the reported validity measures of these methods. METHODS: MEDLINE, EMBASE databases and the Web of Science will be systematically searched by using appropriate search strategies that are able to identify studies containing validated codes and algorithms for the diagnosis of ACO in healthcare databases published, in English, before October 2018. For each selected study, we require the presence of at least one test measure (eg, sensitivity, specificity etc). We will also include studies, in which the validated algorithm is compared with an external reference standard such as questionnaires completed by patients or physicians, medical charts review, manual review or an independent second database. For all selected studies, a uniform table will be created to summarise the following vital information: name of author, publication year, country, data source, population, clinical outcome, algorithms, reference standard method of validation and characteristics of the test measure used to determine validity. PROSPERO REGISTRATION NUMBER: CRD42018087472.
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spelling pubmed-64298782019-04-05 Validated methods to identify patients with asthma–COPD overlap in healthcare databases: a systematic review protocol Amegadzie, Joseph Emil Badejo, Oluwatosin Gamble, John-Michael Wright, Mark Farrell, Jamie Jackson, Brooke Sultana, Kirin Hashmi, Maimoona Gao, Zhiwei BMJ Open Epidemiology INTRODUCTION: Asthma–chronic obstructive pulmonary disease (COPD) overlap (ACO) is characterised by patients presenting symptoms of both asthma and COPD. Many efforts have been made to validate different methods of identifying asthma–COPD overlap cases based on symptoms, spirometry and medical history in epidemiological studies using healthcare databases. There are various coding algorithm strategies that can be used and selection depends on targeted validation. The primary objectives of this systematic review are to identify validated methods (or algorithms) that identify patients with ACO from healthcare databases and summarise the reported validity measures of these methods. METHODS: MEDLINE, EMBASE databases and the Web of Science will be systematically searched by using appropriate search strategies that are able to identify studies containing validated codes and algorithms for the diagnosis of ACO in healthcare databases published, in English, before October 2018. For each selected study, we require the presence of at least one test measure (eg, sensitivity, specificity etc). We will also include studies, in which the validated algorithm is compared with an external reference standard such as questionnaires completed by patients or physicians, medical charts review, manual review or an independent second database. For all selected studies, a uniform table will be created to summarise the following vital information: name of author, publication year, country, data source, population, clinical outcome, algorithms, reference standard method of validation and characteristics of the test measure used to determine validity. PROSPERO REGISTRATION NUMBER: CRD42018087472. BMJ Publishing Group 2019-03-13 /pmc/articles/PMC6429878/ /pubmed/30872543 http://dx.doi.org/10.1136/bmjopen-2018-024306 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Epidemiology
Amegadzie, Joseph Emil
Badejo, Oluwatosin
Gamble, John-Michael
Wright, Mark
Farrell, Jamie
Jackson, Brooke
Sultana, Kirin
Hashmi, Maimoona
Gao, Zhiwei
Validated methods to identify patients with asthma–COPD overlap in healthcare databases: a systematic review protocol
title Validated methods to identify patients with asthma–COPD overlap in healthcare databases: a systematic review protocol
title_full Validated methods to identify patients with asthma–COPD overlap in healthcare databases: a systematic review protocol
title_fullStr Validated methods to identify patients with asthma–COPD overlap in healthcare databases: a systematic review protocol
title_full_unstemmed Validated methods to identify patients with asthma–COPD overlap in healthcare databases: a systematic review protocol
title_short Validated methods to identify patients with asthma–COPD overlap in healthcare databases: a systematic review protocol
title_sort validated methods to identify patients with asthma–copd overlap in healthcare databases: a systematic review protocol
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429878/
https://www.ncbi.nlm.nih.gov/pubmed/30872543
http://dx.doi.org/10.1136/bmjopen-2018-024306
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