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Clinical reminder alert fatigue in healthcare: a systematic literature review protocol using qualitative evidence
BACKGROUND: Integrated reminders within clinical systems have become more prevalent due to the use of electronic health records and evidence demonstrating an increase in compliance within practice. Clinical reminders are assessed for effectiveness on an individual basis, rather than in combination w...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5729261/ https://www.ncbi.nlm.nih.gov/pubmed/29237488 http://dx.doi.org/10.1186/s13643-017-0627-z |
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author | Backman, Ruth Bayliss, Susan Moore, David Litchfield, Ian |
author_facet | Backman, Ruth Bayliss, Susan Moore, David Litchfield, Ian |
author_sort | Backman, Ruth |
collection | PubMed |
description | BACKGROUND: Integrated reminders within clinical systems have become more prevalent due to the use of electronic health records and evidence demonstrating an increase in compliance within practice. Clinical reminders are assessed for effectiveness on an individual basis, rather than in combination with existing prompts for other conditions. The growing number of prompts may be counter-productive as healthcare professionals are increasingly suffering from “reminder fatigue” meaning many reminders are ignored. This work will review the qualitative evidence to identify barriers and enablers of existing prompts found within computerised decision support systems. Our focus will be on primary care where clinicians have to negotiate a plethora of reminders as they deal with increasingly complex patients and sophisticated treatment regimes. The review will provide a greater understanding of existing systems and the way clinicians interact with them to inform the development of more effective and targeted clinical reminders. METHODS: A comprehensive search using piloted terms will be used to identify relevant literature from 1960 (or commencement of database) to 2017. MEDLINE, MEDLINE In Process, EMBASE, HMIC, PsycINFO, CDSR DARE, HTA, CINAHL and CPCI, will be searched, as well as grey literature and references and citations of included papers. Manuscripts will be assessed for eligibility, bias and quality using the CASP tool with narrative data being included and questionnaire based studies excluded. Inductive thematic analysis will be performed in order to produce a conceptual framework defining the key barriers around integrated clinical reminders. DISCUSSION: Indications of alert and reminder fatigue are found throughout the current literature. However, this has not been fully investigated using a robust qualitative approach, particularly in a rapidly growing body of evidence. This review will aid people forming new clinical systems so that alerts can be incorporated appropriately. SYSTEMATIC REVIEW REGISTRATION: PROSPERO: CRD42016029418 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13643-017-0627-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5729261 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57292612017-12-18 Clinical reminder alert fatigue in healthcare: a systematic literature review protocol using qualitative evidence Backman, Ruth Bayliss, Susan Moore, David Litchfield, Ian Syst Rev Protocol BACKGROUND: Integrated reminders within clinical systems have become more prevalent due to the use of electronic health records and evidence demonstrating an increase in compliance within practice. Clinical reminders are assessed for effectiveness on an individual basis, rather than in combination with existing prompts for other conditions. The growing number of prompts may be counter-productive as healthcare professionals are increasingly suffering from “reminder fatigue” meaning many reminders are ignored. This work will review the qualitative evidence to identify barriers and enablers of existing prompts found within computerised decision support systems. Our focus will be on primary care where clinicians have to negotiate a plethora of reminders as they deal with increasingly complex patients and sophisticated treatment regimes. The review will provide a greater understanding of existing systems and the way clinicians interact with them to inform the development of more effective and targeted clinical reminders. METHODS: A comprehensive search using piloted terms will be used to identify relevant literature from 1960 (or commencement of database) to 2017. MEDLINE, MEDLINE In Process, EMBASE, HMIC, PsycINFO, CDSR DARE, HTA, CINAHL and CPCI, will be searched, as well as grey literature and references and citations of included papers. Manuscripts will be assessed for eligibility, bias and quality using the CASP tool with narrative data being included and questionnaire based studies excluded. Inductive thematic analysis will be performed in order to produce a conceptual framework defining the key barriers around integrated clinical reminders. DISCUSSION: Indications of alert and reminder fatigue are found throughout the current literature. However, this has not been fully investigated using a robust qualitative approach, particularly in a rapidly growing body of evidence. This review will aid people forming new clinical systems so that alerts can be incorporated appropriately. SYSTEMATIC REVIEW REGISTRATION: PROSPERO: CRD42016029418 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13643-017-0627-z) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-13 /pmc/articles/PMC5729261/ /pubmed/29237488 http://dx.doi.org/10.1186/s13643-017-0627-z Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Protocol Backman, Ruth Bayliss, Susan Moore, David Litchfield, Ian Clinical reminder alert fatigue in healthcare: a systematic literature review protocol using qualitative evidence |
title | Clinical reminder alert fatigue in healthcare: a systematic literature review protocol using qualitative evidence |
title_full | Clinical reminder alert fatigue in healthcare: a systematic literature review protocol using qualitative evidence |
title_fullStr | Clinical reminder alert fatigue in healthcare: a systematic literature review protocol using qualitative evidence |
title_full_unstemmed | Clinical reminder alert fatigue in healthcare: a systematic literature review protocol using qualitative evidence |
title_short | Clinical reminder alert fatigue in healthcare: a systematic literature review protocol using qualitative evidence |
title_sort | clinical reminder alert fatigue in healthcare: a systematic literature review protocol using qualitative evidence |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5729261/ https://www.ncbi.nlm.nih.gov/pubmed/29237488 http://dx.doi.org/10.1186/s13643-017-0627-z |
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