Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
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 |
_version_ | 1783405685618245632 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6429878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT amegadziejosephemil validatedmethodstoidentifypatientswithasthmacopdoverlapinhealthcaredatabasesasystematicreviewprotocol AT badejooluwatosin validatedmethodstoidentifypatientswithasthmacopdoverlapinhealthcaredatabasesasystematicreviewprotocol AT gamblejohnmichael validatedmethodstoidentifypatientswithasthmacopdoverlapinhealthcaredatabasesasystematicreviewprotocol AT wrightmark validatedmethodstoidentifypatientswithasthmacopdoverlapinhealthcaredatabasesasystematicreviewprotocol AT farrelljamie validatedmethodstoidentifypatientswithasthmacopdoverlapinhealthcaredatabasesasystematicreviewprotocol AT jacksonbrooke validatedmethodstoidentifypatientswithasthmacopdoverlapinhealthcaredatabasesasystematicreviewprotocol AT sultanakirin validatedmethodstoidentifypatientswithasthmacopdoverlapinhealthcaredatabasesasystematicreviewprotocol AT hashmimaimoona validatedmethodstoidentifypatientswithasthmacopdoverlapinhealthcaredatabasesasystematicreviewprotocol AT gaozhiwei validatedmethodstoidentifypatientswithasthmacopdoverlapinhealthcaredatabasesasystematicreviewprotocol |