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Transition to a new nursing information system embedded with clinical decision support: a mixed-method study using the HOT-fit framework
BACKGROUND: Nursing information systems embedded with standardized nursing language and clinical decision support have been increasingly introduced in health care settings. User experience is key to the adoption of health information technologies. Despite extensive research into the user experience...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703774/ https://www.ncbi.nlm.nih.gov/pubmed/36443738 http://dx.doi.org/10.1186/s12911-022-02041-y |
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author | Zhai, Yue Yu, Zhenghong Zhang, Qi Qin, Wei Yang, Chun Zhang, Yuxia |
author_facet | Zhai, Yue Yu, Zhenghong Zhang, Qi Qin, Wei Yang, Chun Zhang, Yuxia |
author_sort | Zhai, Yue |
collection | PubMed |
description | BACKGROUND: Nursing information systems embedded with standardized nursing language and clinical decision support have been increasingly introduced in health care settings. User experience is key to the adoption of health information technologies. Despite extensive research into the user experience with nursing information systems, few studies have focused on the interaction between user, technology and organizational attributes during its implementation. Guided by the human, organization and technology-fit framework, this study aimed to investigate nurses’ perceptions and experiences with transition to a new nursing information system (Care Direct) 2 years after its first introduction. METHODS: This is a mixed-method study using an embedded design. An online survey was launched to collect nurses’ self-reported use of the new system, perceived system effectiveness and experience of participation in system optimization. Twenty-two semi structured interviews were conducted with twenty nurses with clinical or administrative roles. The quantitative and qualitative data were merged using the Pillar Integration Process. RESULTS: The average score of system use behavior was 3.76 ± 0.79. Regarding perceived system effectiveness, the score of each dimension ranged 3.07–3.34 out of 5. Despite large variations in approaches to participating in system optimization, nurses had generally positive experiences with management and technical support. Eight main categories emerged from the integrated findings, which were further condensed into three themes: perceptions on system content, structure, and functionality; perceptions on interdisciplinary and cross-level cooperation; and embracing and accepting the change. CONCLUSIONS: Effective collaboration between clinicians, administrators and technical staff is required during system promotion to enhance system usability and user experience. Clear communication of organizational missions to staff and support from top management is needed to smooth the system implementation process and achieve broader system adoption. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-02041-y. |
format | Online Article Text |
id | pubmed-9703774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97037742022-11-29 Transition to a new nursing information system embedded with clinical decision support: a mixed-method study using the HOT-fit framework Zhai, Yue Yu, Zhenghong Zhang, Qi Qin, Wei Yang, Chun Zhang, Yuxia BMC Med Inform Decis Mak Research BACKGROUND: Nursing information systems embedded with standardized nursing language and clinical decision support have been increasingly introduced in health care settings. User experience is key to the adoption of health information technologies. Despite extensive research into the user experience with nursing information systems, few studies have focused on the interaction between user, technology and organizational attributes during its implementation. Guided by the human, organization and technology-fit framework, this study aimed to investigate nurses’ perceptions and experiences with transition to a new nursing information system (Care Direct) 2 years after its first introduction. METHODS: This is a mixed-method study using an embedded design. An online survey was launched to collect nurses’ self-reported use of the new system, perceived system effectiveness and experience of participation in system optimization. Twenty-two semi structured interviews were conducted with twenty nurses with clinical or administrative roles. The quantitative and qualitative data were merged using the Pillar Integration Process. RESULTS: The average score of system use behavior was 3.76 ± 0.79. Regarding perceived system effectiveness, the score of each dimension ranged 3.07–3.34 out of 5. Despite large variations in approaches to participating in system optimization, nurses had generally positive experiences with management and technical support. Eight main categories emerged from the integrated findings, which were further condensed into three themes: perceptions on system content, structure, and functionality; perceptions on interdisciplinary and cross-level cooperation; and embracing and accepting the change. CONCLUSIONS: Effective collaboration between clinicians, administrators and technical staff is required during system promotion to enhance system usability and user experience. Clear communication of organizational missions to staff and support from top management is needed to smooth the system implementation process and achieve broader system adoption. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-02041-y. BioMed Central 2022-11-28 /pmc/articles/PMC9703774/ /pubmed/36443738 http://dx.doi.org/10.1186/s12911-022-02041-y 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 Zhai, Yue Yu, Zhenghong Zhang, Qi Qin, Wei Yang, Chun Zhang, Yuxia Transition to a new nursing information system embedded with clinical decision support: a mixed-method study using the HOT-fit framework |
title | Transition to a new nursing information system embedded with clinical decision support: a mixed-method study using the HOT-fit framework |
title_full | Transition to a new nursing information system embedded with clinical decision support: a mixed-method study using the HOT-fit framework |
title_fullStr | Transition to a new nursing information system embedded with clinical decision support: a mixed-method study using the HOT-fit framework |
title_full_unstemmed | Transition to a new nursing information system embedded with clinical decision support: a mixed-method study using the HOT-fit framework |
title_short | Transition to a new nursing information system embedded with clinical decision support: a mixed-method study using the HOT-fit framework |
title_sort | transition to a new nursing information system embedded with clinical decision support: a mixed-method study using the hot-fit framework |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703774/ https://www.ncbi.nlm.nih.gov/pubmed/36443738 http://dx.doi.org/10.1186/s12911-022-02041-y |
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