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Evaluation of interventions to improve electronic health record documentation within the inpatient setting: a protocol for a systematic review
BACKGROUND: Electronic health records (EHRs) are increasing in popularity across national and international healthcare systems. Despite their augmented availability and use, the quality of electronic health records is problematic. There are various reasons for poor documentation quality within the E...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373133/ https://www.ncbi.nlm.nih.gov/pubmed/30760323 http://dx.doi.org/10.1186/s13643-019-0971-2 |
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author | Otero Varela, Lucia Wiebe, Natalie Niven, Daniel J. Ronksley, Paul E. Iragorri, Nicolas Robertson, Helen Lee Quan, Hude |
author_facet | Otero Varela, Lucia Wiebe, Natalie Niven, Daniel J. Ronksley, Paul E. Iragorri, Nicolas Robertson, Helen Lee Quan, Hude |
author_sort | Otero Varela, Lucia |
collection | PubMed |
description | BACKGROUND: Electronic health records (EHRs) are increasing in popularity across national and international healthcare systems. Despite their augmented availability and use, the quality of electronic health records is problematic. There are various reasons for poor documentation quality within the EHR, and efforts have been made to address these areas. Previous systematic reviews have assessed intervention effectiveness within the outpatient setting or within paper documentation. This systematic review aims to assess the effectiveness of different interventions seeking to improve EHR documentation within an inpatient setting. METHODS: We will employ a comprehensive search strategy that encompasses four distinct themes: EHR, documentation, interventions, and study design. Four databases (MEDLINE, EMBASE, CENTRAL, and CINAHL) will be searched along with an in-depth examination of the grey literature and reference lists of relevant articles. A customized hybrid study quality assessment tool has been designed, integrating components of the Downs and Black and Newcastle-Ottawa Scales, into a REDCap data capture form to facilitate data extraction and analysis. Given the predicted high heterogeneity between studies, it may not be possible to standardize data for a quantitative comparison and meta-analysis. Thus, data will be synthesized in a narrative, semi-quantitative manner. DISCUSSION: This review will summarize the current level of evidence on the effectiveness of interventions implemented to improve inpatient EHR documentation, which could ultimately enhance data quality in administrative health databases. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42017083494 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13643-019-0971-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6373133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63731332019-02-25 Evaluation of interventions to improve electronic health record documentation within the inpatient setting: a protocol for a systematic review Otero Varela, Lucia Wiebe, Natalie Niven, Daniel J. Ronksley, Paul E. Iragorri, Nicolas Robertson, Helen Lee Quan, Hude Syst Rev Protocol BACKGROUND: Electronic health records (EHRs) are increasing in popularity across national and international healthcare systems. Despite their augmented availability and use, the quality of electronic health records is problematic. There are various reasons for poor documentation quality within the EHR, and efforts have been made to address these areas. Previous systematic reviews have assessed intervention effectiveness within the outpatient setting or within paper documentation. This systematic review aims to assess the effectiveness of different interventions seeking to improve EHR documentation within an inpatient setting. METHODS: We will employ a comprehensive search strategy that encompasses four distinct themes: EHR, documentation, interventions, and study design. Four databases (MEDLINE, EMBASE, CENTRAL, and CINAHL) will be searched along with an in-depth examination of the grey literature and reference lists of relevant articles. A customized hybrid study quality assessment tool has been designed, integrating components of the Downs and Black and Newcastle-Ottawa Scales, into a REDCap data capture form to facilitate data extraction and analysis. Given the predicted high heterogeneity between studies, it may not be possible to standardize data for a quantitative comparison and meta-analysis. Thus, data will be synthesized in a narrative, semi-quantitative manner. DISCUSSION: This review will summarize the current level of evidence on the effectiveness of interventions implemented to improve inpatient EHR documentation, which could ultimately enhance data quality in administrative health databases. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42017083494 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13643-019-0971-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-13 /pmc/articles/PMC6373133/ /pubmed/30760323 http://dx.doi.org/10.1186/s13643-019-0971-2 Text en © The Author(s). 2019 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 Otero Varela, Lucia Wiebe, Natalie Niven, Daniel J. Ronksley, Paul E. Iragorri, Nicolas Robertson, Helen Lee Quan, Hude Evaluation of interventions to improve electronic health record documentation within the inpatient setting: a protocol for a systematic review |
title | Evaluation of interventions to improve electronic health record documentation within the inpatient setting: a protocol for a systematic review |
title_full | Evaluation of interventions to improve electronic health record documentation within the inpatient setting: a protocol for a systematic review |
title_fullStr | Evaluation of interventions to improve electronic health record documentation within the inpatient setting: a protocol for a systematic review |
title_full_unstemmed | Evaluation of interventions to improve electronic health record documentation within the inpatient setting: a protocol for a systematic review |
title_short | Evaluation of interventions to improve electronic health record documentation within the inpatient setting: a protocol for a systematic review |
title_sort | evaluation of interventions to improve electronic health record documentation within the inpatient setting: a protocol for a systematic review |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373133/ https://www.ncbi.nlm.nih.gov/pubmed/30760323 http://dx.doi.org/10.1186/s13643-019-0971-2 |
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