Cargando…
Implementation and experience of an innovative smart patient care system: a cross-sectional study
BACKGROUND: Although a patient care system may help nurses handle patients’ requests or provide timely assistance to those in need, there are a number of barriers faced by nurses in handling alarms. METHODS: The aim of the study was to describe the implementation and experience of an innovative smar...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801128/ https://www.ncbi.nlm.nih.gov/pubmed/35093036 http://dx.doi.org/10.1186/s12913-022-07511-7 |
_version_ | 1784642386963464192 |
---|---|
author | Wen, Ming-Huan Bai, Dorothy Lin, Shirling Chu, Chi-Jen Hsu, Yeh-Liang |
author_facet | Wen, Ming-Huan Bai, Dorothy Lin, Shirling Chu, Chi-Jen Hsu, Yeh-Liang |
author_sort | Wen, Ming-Huan |
collection | PubMed |
description | BACKGROUND: Although a patient care system may help nurses handle patients’ requests or provide timely assistance to those in need, there are a number of barriers faced by nurses in handling alarms. METHODS: The aim of the study was to describe the implementation and experience of an innovative smart patient care system (SPCS). This study applied a cross-sectional descriptive design. We recruited 82 nurses from a medical center in Taiwan, with 25 nurses from a ward that had introduced an SPCS and 57 nurses from wards that used the traditional patient care system (TPCS). The major advantages of the SPCS compared to the TPCS include the specification of alarm purposes, the routing of alarms directly to the mobile phone; the capability of immediate communication via phone; and three-stage bed-exit alerts with low false alarm rate. RESULTS: Approximately 56% of nurses in the TPCS wards perceived that the bed-exit alert was easily ignorable, while this rate was reduced to 32% in the SPCS ward. The immediate communication via phone was considered as the most helpful function of the SPCS, with a weighted average score of 3.92/5, and 52% of nurses strongly agreed (5/5) that this function was helpful. The second-highest ranked function was the three-stage bed-exit alert, with an average score of 3.68/5, with approximately 24% of nurses strongly agreeing (5/5) that this function was helpful. The average response time using TPCS was 145.66 s while it was 59.02 s using the SPCS (P < .001). Among the 110 observed alarms in the SPCS ward, none of them were false bed-exit alarms. In comparison, among 120 observed alarms in the TPCS wards, 42 (35%) of them were false bed-exit alarms (P < .001). In this study, we found that 30.91% of alarms using SPCS were processed because nurses received and responded to the alert via mobile phone. CONCLUSIONS: A smart patient care system is needed to help nurses make more informed prioritization decisions between responding to alarms and ongoing tasks and finally assist them in adjusting their work in various situations to improve work efficiency and care quality. |
format | Online Article Text |
id | pubmed-8801128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88011282022-02-02 Implementation and experience of an innovative smart patient care system: a cross-sectional study Wen, Ming-Huan Bai, Dorothy Lin, Shirling Chu, Chi-Jen Hsu, Yeh-Liang BMC Health Serv Res Research BACKGROUND: Although a patient care system may help nurses handle patients’ requests or provide timely assistance to those in need, there are a number of barriers faced by nurses in handling alarms. METHODS: The aim of the study was to describe the implementation and experience of an innovative smart patient care system (SPCS). This study applied a cross-sectional descriptive design. We recruited 82 nurses from a medical center in Taiwan, with 25 nurses from a ward that had introduced an SPCS and 57 nurses from wards that used the traditional patient care system (TPCS). The major advantages of the SPCS compared to the TPCS include the specification of alarm purposes, the routing of alarms directly to the mobile phone; the capability of immediate communication via phone; and three-stage bed-exit alerts with low false alarm rate. RESULTS: Approximately 56% of nurses in the TPCS wards perceived that the bed-exit alert was easily ignorable, while this rate was reduced to 32% in the SPCS ward. The immediate communication via phone was considered as the most helpful function of the SPCS, with a weighted average score of 3.92/5, and 52% of nurses strongly agreed (5/5) that this function was helpful. The second-highest ranked function was the three-stage bed-exit alert, with an average score of 3.68/5, with approximately 24% of nurses strongly agreeing (5/5) that this function was helpful. The average response time using TPCS was 145.66 s while it was 59.02 s using the SPCS (P < .001). Among the 110 observed alarms in the SPCS ward, none of them were false bed-exit alarms. In comparison, among 120 observed alarms in the TPCS wards, 42 (35%) of them were false bed-exit alarms (P < .001). In this study, we found that 30.91% of alarms using SPCS were processed because nurses received and responded to the alert via mobile phone. CONCLUSIONS: A smart patient care system is needed to help nurses make more informed prioritization decisions between responding to alarms and ongoing tasks and finally assist them in adjusting their work in various situations to improve work efficiency and care quality. BioMed Central 2022-01-29 /pmc/articles/PMC8801128/ /pubmed/35093036 http://dx.doi.org/10.1186/s12913-022-07511-7 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 Wen, Ming-Huan Bai, Dorothy Lin, Shirling Chu, Chi-Jen Hsu, Yeh-Liang Implementation and experience of an innovative smart patient care system: a cross-sectional study |
title | Implementation and experience of an innovative smart patient care system: a cross-sectional study |
title_full | Implementation and experience of an innovative smart patient care system: a cross-sectional study |
title_fullStr | Implementation and experience of an innovative smart patient care system: a cross-sectional study |
title_full_unstemmed | Implementation and experience of an innovative smart patient care system: a cross-sectional study |
title_short | Implementation and experience of an innovative smart patient care system: a cross-sectional study |
title_sort | implementation and experience of an innovative smart patient care system: a cross-sectional study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801128/ https://www.ncbi.nlm.nih.gov/pubmed/35093036 http://dx.doi.org/10.1186/s12913-022-07511-7 |
work_keys_str_mv | AT wenminghuan implementationandexperienceofaninnovativesmartpatientcaresystemacrosssectionalstudy AT baidorothy implementationandexperienceofaninnovativesmartpatientcaresystemacrosssectionalstudy AT linshirling implementationandexperienceofaninnovativesmartpatientcaresystemacrosssectionalstudy AT chuchijen implementationandexperienceofaninnovativesmartpatientcaresystemacrosssectionalstudy AT hsuyehliang implementationandexperienceofaninnovativesmartpatientcaresystemacrosssectionalstudy |