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Systematic review of applied usability metrics within usability evaluation methods for hospital electronic healthcare record systems: Metrics and Evaluation Methods for eHealth Systems
BACKGROUND AND OBJECTIVES: Electronic healthcare records have become central to patient care. Evaluation of new systems include a variety of usability evaluation methods or usability metrics (often referred to interchangeably as usability components or usability attributes). This study reviews the b...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438452/ https://www.ncbi.nlm.nih.gov/pubmed/33982356 http://dx.doi.org/10.1111/jep.13582 |
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author | Wronikowska, Marta Weronika Malycha, James Morgan, Lauren J. Westgate, Verity Petrinic, Tatjana Young, J Duncan Watkinson, Peter J. |
author_facet | Wronikowska, Marta Weronika Malycha, James Morgan, Lauren J. Westgate, Verity Petrinic, Tatjana Young, J Duncan Watkinson, Peter J. |
author_sort | Wronikowska, Marta Weronika |
collection | PubMed |
description | BACKGROUND AND OBJECTIVES: Electronic healthcare records have become central to patient care. Evaluation of new systems include a variety of usability evaluation methods or usability metrics (often referred to interchangeably as usability components or usability attributes). This study reviews the breadth of usability evaluation methods, metrics, and associated measurement techniques that have been reported to assess systems designed for hospital staff to assess inpatient clinical condition. METHODS: Following Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) methodology, we searched Medline, EMBASE, CINAHL, Cochrane Database of Systematic Reviews, and Open Grey from 1986 to 2019. For included studies, we recorded usability evaluation methods or usability metrics as appropriate, and any measurement techniques applied to illustrate these. We classified and described all usability evaluation methods, usability metrics, and measurement techniques. Study quality was evaluated using a modified Downs and Black checklist. RESULTS: The search identified 1336 studies. After abstract screening, 130 full texts were reviewed. In the 51 included studies 11 distinct usability evaluation methods were identified. Within these usability evaluation methods, seven usability metrics were reported. The most common metrics were ISO9241‐11 and Nielsen's components. An additional “usefulness” metric was reported in almost 40% of included studies. We identified 70 measurement techniques used to evaluate systems. Overall study quality was reflected in a mean modified Downs and Black checklist score of 6.8/10 (range 1–9) 33% studies classified as “high‐quality” (scoring eight or higher), 51% studies “moderate‐quality” (scoring 6–7), and the remaining 16% (scoring below five) were “low‐quality.” CONCLUSION: There is little consistency within the field of electronic health record systems evaluation. This review highlights the variability within usability methods, metrics, and reporting. Standardized processes may improve evaluation and comparison electronic health record systems and improve their development and implementation. |
format | Online Article Text |
id | pubmed-9438452 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94384522022-09-09 Systematic review of applied usability metrics within usability evaluation methods for hospital electronic healthcare record systems: Metrics and Evaluation Methods for eHealth Systems Wronikowska, Marta Weronika Malycha, James Morgan, Lauren J. Westgate, Verity Petrinic, Tatjana Young, J Duncan Watkinson, Peter J. J Eval Clin Pract Original Paper BACKGROUND AND OBJECTIVES: Electronic healthcare records have become central to patient care. Evaluation of new systems include a variety of usability evaluation methods or usability metrics (often referred to interchangeably as usability components or usability attributes). This study reviews the breadth of usability evaluation methods, metrics, and associated measurement techniques that have been reported to assess systems designed for hospital staff to assess inpatient clinical condition. METHODS: Following Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) methodology, we searched Medline, EMBASE, CINAHL, Cochrane Database of Systematic Reviews, and Open Grey from 1986 to 2019. For included studies, we recorded usability evaluation methods or usability metrics as appropriate, and any measurement techniques applied to illustrate these. We classified and described all usability evaluation methods, usability metrics, and measurement techniques. Study quality was evaluated using a modified Downs and Black checklist. RESULTS: The search identified 1336 studies. After abstract screening, 130 full texts were reviewed. In the 51 included studies 11 distinct usability evaluation methods were identified. Within these usability evaluation methods, seven usability metrics were reported. The most common metrics were ISO9241‐11 and Nielsen's components. An additional “usefulness” metric was reported in almost 40% of included studies. We identified 70 measurement techniques used to evaluate systems. Overall study quality was reflected in a mean modified Downs and Black checklist score of 6.8/10 (range 1–9) 33% studies classified as “high‐quality” (scoring eight or higher), 51% studies “moderate‐quality” (scoring 6–7), and the remaining 16% (scoring below five) were “low‐quality.” CONCLUSION: There is little consistency within the field of electronic health record systems evaluation. This review highlights the variability within usability methods, metrics, and reporting. Standardized processes may improve evaluation and comparison electronic health record systems and improve their development and implementation. John Wiley & Sons, Inc. 2021-05-13 2021-12 /pmc/articles/PMC9438452/ /pubmed/33982356 http://dx.doi.org/10.1111/jep.13582 Text en © 2021 The Authors. Journal of Evaluation in Clinical Practice published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Paper Wronikowska, Marta Weronika Malycha, James Morgan, Lauren J. Westgate, Verity Petrinic, Tatjana Young, J Duncan Watkinson, Peter J. Systematic review of applied usability metrics within usability evaluation methods for hospital electronic healthcare record systems: Metrics and Evaluation Methods for eHealth Systems |
title | Systematic review of applied usability metrics within usability evaluation methods for hospital electronic healthcare record systems: Metrics and Evaluation Methods for eHealth Systems |
title_full | Systematic review of applied usability metrics within usability evaluation methods for hospital electronic healthcare record systems: Metrics and Evaluation Methods for eHealth Systems |
title_fullStr | Systematic review of applied usability metrics within usability evaluation methods for hospital electronic healthcare record systems: Metrics and Evaluation Methods for eHealth Systems |
title_full_unstemmed | Systematic review of applied usability metrics within usability evaluation methods for hospital electronic healthcare record systems: Metrics and Evaluation Methods for eHealth Systems |
title_short | Systematic review of applied usability metrics within usability evaluation methods for hospital electronic healthcare record systems: Metrics and Evaluation Methods for eHealth Systems |
title_sort | systematic review of applied usability metrics within usability evaluation methods for hospital electronic healthcare record systems: metrics and evaluation methods for ehealth systems |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438452/ https://www.ncbi.nlm.nih.gov/pubmed/33982356 http://dx.doi.org/10.1111/jep.13582 |
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