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Identified mental disorders in older adults in primary care: A cross-sectional database study

Introduction: Identifying and managing mental disorders among older adults is an important challenge for primary care in Europe. Electronic medical records (EMRs) offer considerable potential in this regard, although there is a paucity of data on their use for this purpose. Objectives: To examine th...

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Autores principales: McCombe, Geoff, Fogarty, Frank, Swan, Davina, Hannigan, Ailish, Fealy, Gerard M., Kyne, Lorraine, Meagher, David, Cullen, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795746/
https://www.ncbi.nlm.nih.gov/pubmed/29353511
http://dx.doi.org/10.1080/13814788.2017.1402884
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author McCombe, Geoff
Fogarty, Frank
Swan, Davina
Hannigan, Ailish
Fealy, Gerard M.
Kyne, Lorraine
Meagher, David
Cullen, Walter
author_facet McCombe, Geoff
Fogarty, Frank
Swan, Davina
Hannigan, Ailish
Fealy, Gerard M.
Kyne, Lorraine
Meagher, David
Cullen, Walter
author_sort McCombe, Geoff
collection PubMed
description Introduction: Identifying and managing mental disorders among older adults is an important challenge for primary care in Europe. Electronic medical records (EMRs) offer considerable potential in this regard, although there is a paucity of data on their use for this purpose. Objectives: To examine the prevalence/treatment of identified mental disorders among older adults (over 55 years) by using data derived from EMRs in general practice. Methods: We utilized data from a cross-sectional study of mental disorders in primary care, which identified patients with mental disorders based on diagnostic coding and prescribed medicines. We collected anonymized data from 35 practices nationally from June 2014 to March 2015, and secondary analysis of this dataset examined the prevalence of mental disorders in adults aged over 55 years. Results: 74,261 patients aged over 55 years were identified, of whom 14,143 had a mental health disorder (prevalence rate of 19.1%). There was considerable variation between practices (range: 3.7–38.9%), with a median prevalence of 23.1%. Prevalence increased with age, from 14.8% at 55–59 years to 28.9% at 80–84 years. Most common disorders were depression (17.1%), panic/anxiety (11.3%), cognitive (5.6%), alcohol (3.8%) and substance use (3.8%). Conclusions: Examining mental disorders among older adults using data derived from EMRs is feasible. Mental disorders are common among older adults attending primary care and this study demonstrates the utility of electronic medical records in epidemiological studies of large populations in primary care.
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spelling pubmed-57957462018-02-28 Identified mental disorders in older adults in primary care: A cross-sectional database study McCombe, Geoff Fogarty, Frank Swan, Davina Hannigan, Ailish Fealy, Gerard M. Kyne, Lorraine Meagher, David Cullen, Walter Eur J Gen Pract Original Article Introduction: Identifying and managing mental disorders among older adults is an important challenge for primary care in Europe. Electronic medical records (EMRs) offer considerable potential in this regard, although there is a paucity of data on their use for this purpose. Objectives: To examine the prevalence/treatment of identified mental disorders among older adults (over 55 years) by using data derived from EMRs in general practice. Methods: We utilized data from a cross-sectional study of mental disorders in primary care, which identified patients with mental disorders based on diagnostic coding and prescribed medicines. We collected anonymized data from 35 practices nationally from June 2014 to March 2015, and secondary analysis of this dataset examined the prevalence of mental disorders in adults aged over 55 years. Results: 74,261 patients aged over 55 years were identified, of whom 14,143 had a mental health disorder (prevalence rate of 19.1%). There was considerable variation between practices (range: 3.7–38.9%), with a median prevalence of 23.1%. Prevalence increased with age, from 14.8% at 55–59 years to 28.9% at 80–84 years. Most common disorders were depression (17.1%), panic/anxiety (11.3%), cognitive (5.6%), alcohol (3.8%) and substance use (3.8%). Conclusions: Examining mental disorders among older adults using data derived from EMRs is feasible. Mental disorders are common among older adults attending primary care and this study demonstrates the utility of electronic medical records in epidemiological studies of large populations in primary care. Taylor & Francis 2018-01-22 /pmc/articles/PMC5795746/ /pubmed/29353511 http://dx.doi.org/10.1080/13814788.2017.1402884 Text en © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
McCombe, Geoff
Fogarty, Frank
Swan, Davina
Hannigan, Ailish
Fealy, Gerard M.
Kyne, Lorraine
Meagher, David
Cullen, Walter
Identified mental disorders in older adults in primary care: A cross-sectional database study
title Identified mental disorders in older adults in primary care: A cross-sectional database study
title_full Identified mental disorders in older adults in primary care: A cross-sectional database study
title_fullStr Identified mental disorders in older adults in primary care: A cross-sectional database study
title_full_unstemmed Identified mental disorders in older adults in primary care: A cross-sectional database study
title_short Identified mental disorders in older adults in primary care: A cross-sectional database study
title_sort identified mental disorders in older adults in primary care: a cross-sectional database study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795746/
https://www.ncbi.nlm.nih.gov/pubmed/29353511
http://dx.doi.org/10.1080/13814788.2017.1402884
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