Cargando…

Decision support-tools for early detection of infection in older people (aged> 65 years): a scoping review

BACKGROUND: Infection is more frequent, and serious in people aged > 65 as they experience non-specific signs and symptoms delaying diagnosis and prompt treatment. Monitoring signs and symptoms using decision support tools (DST) is one approach that could help improve early detection ensuring tim...

Descripción completa

Detalles Bibliográficos
Autores principales: Masot, Olga, Cox, Anna, Mold, Freda, Sund-Levander, Märtha, Tingström, Pia, Boersema, Geertien Christelle, Botigué, Teresa, Daltrey, Julie, Hughes, Karen, Mayhorn, Christopher B., Montgomery, Amy, Mullan, Judy, Carey, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247966/
https://www.ncbi.nlm.nih.gov/pubmed/35778707
http://dx.doi.org/10.1186/s12877-022-03218-w
_version_ 1784739274521837568
author Masot, Olga
Cox, Anna
Mold, Freda
Sund-Levander, Märtha
Tingström, Pia
Boersema, Geertien Christelle
Botigué, Teresa
Daltrey, Julie
Hughes, Karen
Mayhorn, Christopher B.
Montgomery, Amy
Mullan, Judy
Carey, Nicola
author_facet Masot, Olga
Cox, Anna
Mold, Freda
Sund-Levander, Märtha
Tingström, Pia
Boersema, Geertien Christelle
Botigué, Teresa
Daltrey, Julie
Hughes, Karen
Mayhorn, Christopher B.
Montgomery, Amy
Mullan, Judy
Carey, Nicola
author_sort Masot, Olga
collection PubMed
description BACKGROUND: Infection is more frequent, and serious in people aged > 65 as they experience non-specific signs and symptoms delaying diagnosis and prompt treatment. Monitoring signs and symptoms using decision support tools (DST) is one approach that could help improve early detection ensuring timely treatment and effective care. OBJECTIVE: To identify and analyse decision support tools available to support detection of infection in older people (> 65 years). METHODS: A scoping review of the literature 2010–2021 following Arksey and O’Malley (2005) framework and PRISMA-ScR guidelines. A search of MEDLINE, Cochrane, EMBASE, PubMed, CINAHL, Scopus and PsycINFO using terms to identify decision support tools for detection of infection in people > 65 years was conducted, supplemented with manual searches. RESULTS: Seventeen papers, reporting varying stages of development of different DSTs were analysed. DSTs largely focussed on specific types of infection i.e. urine, respiratory, sepsis and were frequently hospital based (n = 9) for use by physicians. Four DSTs had been developed in nursing homes and one a care home, two of which explored detection of non- specific infection. CONCLUSIONS: DSTs provide an opportunity to ensure a consistent approach to early detection of infection supporting prompt action and treatment, thus avoiding emergency hospital admissions. A lack of consideration regarding their implementation in practice means that any attempt to create an optimal validated and tested DST for infection detection will be impeded. This absence may ultimately affect the ability of the workforce to provide more effective and timely care, particularly during the current covid-19 pandemic. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03218-w.
format Online
Article
Text
id pubmed-9247966
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-92479662022-07-01 Decision support-tools for early detection of infection in older people (aged> 65 years): a scoping review Masot, Olga Cox, Anna Mold, Freda Sund-Levander, Märtha Tingström, Pia Boersema, Geertien Christelle Botigué, Teresa Daltrey, Julie Hughes, Karen Mayhorn, Christopher B. Montgomery, Amy Mullan, Judy Carey, Nicola BMC Geriatr Research BACKGROUND: Infection is more frequent, and serious in people aged > 65 as they experience non-specific signs and symptoms delaying diagnosis and prompt treatment. Monitoring signs and symptoms using decision support tools (DST) is one approach that could help improve early detection ensuring timely treatment and effective care. OBJECTIVE: To identify and analyse decision support tools available to support detection of infection in older people (> 65 years). METHODS: A scoping review of the literature 2010–2021 following Arksey and O’Malley (2005) framework and PRISMA-ScR guidelines. A search of MEDLINE, Cochrane, EMBASE, PubMed, CINAHL, Scopus and PsycINFO using terms to identify decision support tools for detection of infection in people > 65 years was conducted, supplemented with manual searches. RESULTS: Seventeen papers, reporting varying stages of development of different DSTs were analysed. DSTs largely focussed on specific types of infection i.e. urine, respiratory, sepsis and were frequently hospital based (n = 9) for use by physicians. Four DSTs had been developed in nursing homes and one a care home, two of which explored detection of non- specific infection. CONCLUSIONS: DSTs provide an opportunity to ensure a consistent approach to early detection of infection supporting prompt action and treatment, thus avoiding emergency hospital admissions. A lack of consideration regarding their implementation in practice means that any attempt to create an optimal validated and tested DST for infection detection will be impeded. This absence may ultimately affect the ability of the workforce to provide more effective and timely care, particularly during the current covid-19 pandemic. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03218-w. BioMed Central 2022-07-01 /pmc/articles/PMC9247966/ /pubmed/35778707 http://dx.doi.org/10.1186/s12877-022-03218-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Masot, Olga
Cox, Anna
Mold, Freda
Sund-Levander, Märtha
Tingström, Pia
Boersema, Geertien Christelle
Botigué, Teresa
Daltrey, Julie
Hughes, Karen
Mayhorn, Christopher B.
Montgomery, Amy
Mullan, Judy
Carey, Nicola
Decision support-tools for early detection of infection in older people (aged> 65 years): a scoping review
title Decision support-tools for early detection of infection in older people (aged> 65 years): a scoping review
title_full Decision support-tools for early detection of infection in older people (aged> 65 years): a scoping review
title_fullStr Decision support-tools for early detection of infection in older people (aged> 65 years): a scoping review
title_full_unstemmed Decision support-tools for early detection of infection in older people (aged> 65 years): a scoping review
title_short Decision support-tools for early detection of infection in older people (aged> 65 years): a scoping review
title_sort decision support-tools for early detection of infection in older people (aged> 65 years): a scoping review
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247966/
https://www.ncbi.nlm.nih.gov/pubmed/35778707
http://dx.doi.org/10.1186/s12877-022-03218-w
work_keys_str_mv AT masotolga decisionsupporttoolsforearlydetectionofinfectioninolderpeopleaged65yearsascopingreview
AT coxanna decisionsupporttoolsforearlydetectionofinfectioninolderpeopleaged65yearsascopingreview
AT moldfreda decisionsupporttoolsforearlydetectionofinfectioninolderpeopleaged65yearsascopingreview
AT sundlevandermartha decisionsupporttoolsforearlydetectionofinfectioninolderpeopleaged65yearsascopingreview
AT tingstrompia decisionsupporttoolsforearlydetectionofinfectioninolderpeopleaged65yearsascopingreview
AT boersemageertienchristelle decisionsupporttoolsforearlydetectionofinfectioninolderpeopleaged65yearsascopingreview
AT botigueteresa decisionsupporttoolsforearlydetectionofinfectioninolderpeopleaged65yearsascopingreview
AT daltreyjulie decisionsupporttoolsforearlydetectionofinfectioninolderpeopleaged65yearsascopingreview
AT hugheskaren decisionsupporttoolsforearlydetectionofinfectioninolderpeopleaged65yearsascopingreview
AT mayhornchristopherb decisionsupporttoolsforearlydetectionofinfectioninolderpeopleaged65yearsascopingreview
AT montgomeryamy decisionsupporttoolsforearlydetectionofinfectioninolderpeopleaged65yearsascopingreview
AT mullanjudy decisionsupporttoolsforearlydetectionofinfectioninolderpeopleaged65yearsascopingreview
AT careynicola decisionsupporttoolsforearlydetectionofinfectioninolderpeopleaged65yearsascopingreview